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How to Pitch Gorgias Shopping Assistant to Leadership

Want to show leadership how AI can boost revenue and cut support costs? Learn how to pitch Gorgias Shopping Assistant with data that makes the case.
By Alexa Hertel
0 min read . By Alexa Hertel

TL;DR:

  • Position Shopping Assistant as a revenue-driving tool. It boosts AOV, GMV, and chat conversion rates, with some brands seeing up to 97% higher AOV and 13x ROI.
  • Highlight its role as a proactive sales agent, not just a support bot. It recommends products, applies discounts, and guides shoppers to checkout in real time.
  • Use cross-industry case studies to make your case. Show leadership success stories from brands like Arc’teryx, bareMinerals, and TUSHY to prove impact.
  • Focus on the KPIs it improves. Track AOV, GMV, chat conversion, CSAT, and resolution rate to demonstrate clear ROI.

Rising customer expectations, shoppers willing to pay a premium for convenience, and a growing lack of trust in social media channels to make purchase decisions are making it more challenging to turn a profit.  

In this emerging era, AI’s role is becoming not only more pronounced, but a necessity for brands who want to stay ahead. Tools like Gorgias Shopping Assistant can help drive measurable revenue while reducing support costs. 

For example, a brand that specializes in premium outdoor apparel implemented Shopping Assistant and saw a 2.25% uplift in GMV and 29% uplift in average order volume (AOV).

But how, among competing priorities and expenses, do you convince leadership to implement it? We’ll show you.

Why conversational AI matters for modern ecommerce

1) Meet high consumer expectations

Shoppers want on-demand help in real time that’s personalized across devices. 

Shopping Assistant recalls a shopper’s browsing history, like what they have clicked, viewed, and added to their cart. This allows it to make more relevant suggestions that feel personal to each customer. 

2) Keep up with market momentum

The AI ecommerce tools market was valued at $7.25 billion in 2024 and is expected to reach $21.55 billion by 2030

Your competitors are using conversational AI to support, sell, and retain. Shopping Assistant satisfies that need, providing upsells and recommendations rooted in real shopper behavior. 

3) Raise AOV and GMV

Conversational AI has real revenue implications, impacting customer retention, average order value (AOV), conversion rates, and gross market value (GMV). 

For example, a leading nutrition brand saw a GMV uplift of over 1%, an increase in AOV of over 16%, and a chat conversion rate of over 15% after implementing Shopping Assistant.

Overall, Shopping Assistant drives higher engagement and more revenue per visitor, sometimes surpassing 50% and 20%, respectively.

AI Agent chat offering 8% discount on Haabitual Shimmer Layer with adjustable strategy slider.
Shopping Assistant can send discounts based on shopper behavior in real time.

How to show the business impact & ROI of Shopping Assistant

1) Pitch its core capabilities

Shopping Assistant engages, personalizes, recommends, and converts. It provides proactive recommendations, smart upsells, dynamic discounts, and is highly personalized, all helping to guide shoppers to checkout

Success spotlight

After implementing Shopping Assistant, leading ecommerce brands saw real results:

Industry

Primary Use Case

GMV Uplift (%)

AOV Uplift (%)

Chat CVR (%)

Home & interior decor 🖼️

Help shoppers coordinate furniture with existing pieces and color schemes.

+1.17

+97.15

10.30

Outdoor apparel 🎿

In-depth explanations of technical features and confidence when purchasing premium, performance-driven products.

+2.25

+29.41

6.88

Nutrition 🍎

Personalized guidance on supplement selection based on age, goals, and optimal timing.

+1.09

+16.40

15.15

Health & wellness 💊

Comparing similar products and understanding functional differences to choose the best option.

+1.08

+11.27

8.55

Home furnishings 🛋️

Help choose furniture sizes and styles appropriate for children and safety needs.

+12.26

+10.19

1.12

Stuffed toys 🧸

Clear care instructions and support finding replacements after accidental product damage.

+4.43

+9.87

3.62

Face & body care 💆‍♀️

Assistance finding the correct shade online, especially when previously purchased products are no longer available.

+6.55

+1.02

5.29

2) Position it as a revenue driver

Shopping Assistant drives uplift in chat conversion rate and makes successful upsell recommendations.  

Success spotlight

“It’s been awesome to see Shopping Assistant guide customers through our technical product range without any human input. It’s a much smoother journey for the shopper,” says Nathan Larner, Customer Experience Advisor for Arc’teryx. 

For Arc’teryx, that smoother customer journey translated into sales. The brand saw a 75% increase in conversion rate (from 4% to 7%) and 3.7% of overall revenue influenced by Shopping Assistant. 

Arc'teryx Rho Zip Neck Women's product page showing black base layer and live chat box.
Arc’teryx saw a 75% increase in conversion rate after implementing Shopping Assistant. Arc’teryx 

3) Show its efficiency and cost savings

Because it follows shoppers’ live journey during each session on your website, Shopping Assistant catches shoppers in the moment. It answers questions or concerns that might normally halt a purchase, gets strategic with discounting (based on rules you set), and upsells. 

The overall ROI can be significant. For example, bareMinerals saw an 8.83x return on investment.  

Success spotlight

"The real-time Shopify integration was essential as we needed to ensure that product recommendations were relevant and displayed accurate inventory,” says Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations, UK at bareMinerals. 

“Avoiding customer frustration from out-of-stock recommendations was non-negotiable, especially in beauty, where shade availability is crucial to customer trust and satisfaction. This approach has led to increased CSAT on AI converted tickets."

AI Agent chat recommending foundation shades and closing ticket with 5-star review.

4) Present the metrics it can impact

Shopping Assistant can impact CSAT scores, response times, resolution rates, AOV, and GMV.  

Success spotlight

For Caitlyn Minimalist, those metrics were an 11.3% uplift in AOV, an 18% click through rate for product recommendations, and a 50% sales lift versus human-only chats. 

"Shopping Assistant has become an intuitive extension of our team, offering product guidance that feels personal and intentional,” says Anthony Ponce, its Head of Customer Experience.

 

AI Agent chat assisting customer about 18K gold earrings, allergies, and shipping details.
Caitlyn Minimalist leverages Shopping Assistant to help guide customers to purchase. Caitlyn Minimalist 

5) Highlight its helpfulness as a sales agent 

Support agents have limited time to assist customers as it is, so taking advantage of sales opportunities can be difficult. Shopping Assistant takes over that role, removing obstacles for purchase or clearing up the right choice among a stacked product catalog.

Success spotlight

With a product that’s not yet mainstream in the US, TUSHY leverages Shopping Assistant for product education and clarification. 

"Shopping Assistant has been a game-changer for our team, especially with the launch of our latest bidet models,” says Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY. 

“Expanding our product catalog has given customers more choices than ever, which can overwhelm first-time buyers. Now, they’re increasingly looking to us for guidance on finding the right fit for their home and personal hygiene needs.”

The bidet brand saw 13x return on investment after implementation, a 15% increase in chat conversion rate, and a 2x higher conversion rate for AI conversations versus human ones. 

AI Agent chat helping customer check toilet compatibility and measurements for TUSHY bidet.
AI Agent chat helping customer check toilet compatibility and measurements for TUSHY bidet.

6) Provide the KPIs you’ll track 

Customer support metrics include: 

  • Resolution rate 
  • CSAT score 

Revenue metrics to track include: 

  • Average order value (AOV) 
  • Gross market value (GMV) 
  • Chat conversion rate 

Shopping Assistant: AI that understands your brand 

Shopping Assistant connects to your ecommerce platform (like Shopify), and streamlines information between your helpdesk and order data. It’s also trained on your catalog and support history. 

Allow your agents to focus on support and sell more by tackling questions that are getting in the way of sales. 

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min read.
Shopping Assistant Use Cases

11 Real Ways Ecommerce Brands Use Gorgias Shopping Assistant to Drive Sales

Here are 11 ways to use Gorgias Shopping Assistant to make the shopping experience more valuable.
By Holly Stanley
0 min read . By Holly Stanley

TL;DR:

  • Shoppers often hesitate around sizing, shade matching, styling, and product comparisons, and those moments are key revenue opportunities for CX teams.
  • Guided shopping removes that friction by giving shoppers quick, personalized recommendations that build confidence in their choices.
  • Across 11 brands, guided shopping led to measurable lifts in AOV, conversion rate, and overall revenue.
  • Your biggest upsell opportunities likely sit in the same places your shoppers pause, so start by automating your most common pre-purchase questions.

Most shoppers arrive with questions. Is this the right size? Will this match my skin tone? What’s the difference between these models? The faster you can guide them, the faster they decide.

As CX teams take on a bigger role in driving revenue, these moments of hesitation are now some of the most important parts of the buying journey.

That’s why more brands are leaning on conversational AI to support these high-intent questions and remove the friction that slows shoppers down. The impact speaks for itself. Brands can expect higher AOV, stronger chat conversion rates, and smoother paths to purchase, all without adding extra work to your team.

Below, we’re sharing real use cases from 11 ecommerce brands across beauty, apparel, home, body care, and more, along with the exact results they saw after introducing guided shopping experiences.

1. Recommend similar shoes when an old classic disappears

When you’re shopping for shoes similar to an old but discontinued favorite, every detail counts, down to the color of the bottom of the shoe. But legacy brands with large catalogs can be overwhelming to browse.

For shoppers, it’s a double-edged sword: they want to feel confident that they checked your entire collection, but they also don’t want to spend time looking for it.

How Shopping Assistant helps:

Shopping Assistant accelerates the process, turning hazy details into clear, friendly guidance.

It describes shoe details, from colorways to logo placement, compares products side by side, and recommends the best option based on the shopper’s preferences and conditions.

The result is shoppers who feel satisfied and more connected with your brand.

Results:

  • AOV uplift: +6.5%

2. Suggest complete outfits for special occasions

Big events call for great outfits, but putting one together online isn’t always easy. With thousands of options to scroll through, shoppers often want a bit of styling direction.

How Shopping Assistant helps:

Shoppers get to chat with a virtual stylist who recommends full outfits based on the occasion, suggests accessories to complete the look, and removes the guesswork of pairing pieces together. 

The result is a fun, confidence-building shopping experience that feels like getting advice from a stylist who actually understands their plans.

Results:

  • Chat CVR: 13.02%

3. Match shoppers to the right makeup shade when the formula changes

Shade matching is hard enough in-store, but doing it online can feel impossible. Plus, when a longtime favorite gets discontinued, shoppers are left guessing which new shade will come closest. That uncertainty often leads to hesitation, abandoned carts, or ordering multiple shades “just in case.”

How Shopping Assistant helps:

Shoppers find their perfect match without any of the guesswork. The assistant asks a few quick questions, recommends the closest shade or formula, and offers smart alternatives when a product is unavailable.

The experience feels like chatting with a knowledgeable beauty advisor — someone who makes the decision easy and leaves shoppers feeling confident in what they’re buying.

Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations at bareMinerals UK says, “What impressed me the most is the AI’s ability to upsell with a conversational tone that feels genuinely helpful and doesn't sound too pushy or transactional. It sounds remarkably human, identifying correct follow-up questions to determine the correct product recommendation, resulting in improved AOV. It’s exactly how I train our human agents and BPO partners.”

Gorgias AI Agent recommends a powder that pairs well with the foundation a customer wears.
Gorgias Shopping Assistant recommends a powder that pairs well with the foundation a customer currently wears.

Results:

  • GMV uplift: +6.55%

4. Help find the perfect gift when shoppers don’t know what to buy

When shoppers are buying gifts, especially for someone else, they often know who they’re shopping for but not what to buy. A vague product name or a half-remembered scent can quickly make the experience feel overwhelming without someone to guide them.

How Shopping Assistant helps:

Thoughtful guidance goes a long way. By asking clarifying questions and recognizing likely mix-ups, Shopping Assistant helps shoppers figure out what the recipient was probably referring to, then recommends the right product along with complementary gift options that make the choice feel intentional.

It brings the reassurance of an in-store associate to the online experience, helping shoppers move forward with confidence.

Results:

  • Chat CVR: 8.39%

5. Remove the guesswork from bra sizing online

Finding the right bra size online is notoriously tricky. Shoppers often second-guess their band or cup size, and even small uncertainties can lead to returns — or abandoning the purchase altogether.

Many customers just want someone to walk them through what a proper fit should actually feel like.

How Shopping Assistant helps:

Searching for products is no longer a time-consuming process. Shopping Assistant detects a shopper’s search terms and sends relevant products in chat. Like an in-store associate, it uses context to deliver what shoppers are looking for, so they can skip the search and head right to checkout.

Results:

  • GMV uplift: +6.22%
  • Chat CVR: 16.78%

6. Guide shoppers through jewelry personalization step by step

For shoppers buying personalized jewelry, the details directly affect the final result. That’s why customization questions come up constantly, and why uncertainty can quickly stall the path to purchase.

How Shopping Assistant helps:

Shopping Assistant asks about the shopper’s style preferences and customization needs, then recommends the right product and options so they can feel confident the final piece is exactly their style. The experience feels quick, helpful, and designed to guide shoppers toward a high investment purchase.

Results:

  • GMV uplift: +22.59%

7. Recommend furniture that works well together

Decorating a home is personal, and shoppers often want reassurance that a new piece will blend with what they already own. Questions about color palettes, textures, and proportions come up constantly. And without guidance, it’s easy for shoppers to feel unsure about hitting “add to cart.”

How Shopping Assistant helps:

Giving shoppers personalized styling support helps them visualize how pieces will work in their home. 

Shoppers receive styling suggestions based on their existing space as well as recommendations on pieces that complement their color palette. 

It even guides them toward a 60-minute virtual styling consultation when they need deeper help. The experience feels thoughtful and high-touch, which is why shoppers often spend more once they feel confident in their choices.

Results:

  • AOV uplift: +97.15%
  • Chat CVR: 10.3%

8. Reassure shoppers about flavor before purchase

When shoppers discover a new drink mix, they’re bound to have questions before committing. How strong will it taste? How much should they use? Will it work with their preferred drink or routine? Uncertainty at this stage can stall the purchase or lead to disappointment later.

How Shopping Assistant helps:

Clear, friendly guidance in chat helps shoppers understand exactly how to use the product. Shopping Assistant answers questions about serving size, flavor strength, and pairing options, and suggests the best way to prepare the mix based on the shopper’s preferences.

Results:

  • Chat CVR: 12.75%

9. Match supplements to age, lifestyle, and health goals

Shopping for health supplements can feel confusing fast. Customers often have questions about which formulas fit their age, health goals, or daily routine. Without clear guidance, most will hesitate or pick the wrong product.

How Shopping Assistant helps:

Shopping Assistant detects hesitation when shoppers linger on a search results page. It proactively asks a few clarifying questions, narrows down product options, and points shoppers to the best product or bundle for their needs. 

The entire experience feels supportive and gives shoppers confidence they’ve picked the right option.

Results:

  • AOV uplift: +16.4%
  • Chat CVR: 15.15%

10. Align products with safety needs in kids’ rooms

Shopping for kids’ furniture comes with a lot of “Is this the right one?” moments. Parents want something safe, sturdy, and sized correctly for their child’s age. With so many options, it’s easy to feel unsure about what will actually work in their space.

How Shopping Assistant helps:

Shopping Assistant guides parents toward the best fit right away. It asks about their child’s age, room layout, and safety considerations, then recommends the most appropriate bed or furniture setup. The experience feels like chatting with a knowledgeable salesperson who understands what families actually need as kids grow.

Results:

  • GMV uplift: +12.26%
  • AOV uplift: +10.19%

11. Clarify technical specs that create hesitation

Even something as simple as choosing a toothbrush can feel complicated when multiple models come with different speeds, materials, and features. Shoppers want to understand what matters so they can pick the one that fits their routine and budget.

How Shopping Assistant helps:

Choosing between toothbrush models shouldn’t feel like decoding tech specs. When shoppers can see the key differences in plain language, including what’s unique, how each model works, and who it’s best for, they can make a decision with ease. 

Suddenly, the whole process feels simple instead of overwhelming.

Results:

  • AOV uplift: +11.27%
  • Chat CVR: 8.55%

What these results tell us

Across all 11 brands, one theme is clear. When shoppers get the guidance they need at the right moment, they convert more confidently and often spend more.

Here’s what stands out:

  • AOV jumps when products are technical or high in consideration. Home decor, supplements, and outdoor gear see the biggest lifts because shoppers feel more confident committing to higher-priced items once the details are explained.
  • CVR surges in categories with complex decisions. Lingerie, apparel, and personal styling all showed strong conversion rates because shoppers finally get clarity on fit, shade, or style.
  • GMV rises when AI removes friction from the buying journey. Furniture and beauty saw meaningful gains thanks to personalized recommendations that reduce uncertainty and push shoppers toward the right product faster.
  • The use cases reveal clear upsell opportunities. If your team sees recurring questions about sizing, shade matching, product differences, or how items work together, that’s a strong signal that guided selling can drive more revenue.

What this means for you:

Look closely at your most common pre-purchase questions. Anywhere shoppers hesitate from fit, shade, technical specs, styling, bundles is a place where Shopping Assistant can step in, boost confidence, and unlock more sales.

Want Shopping Assistant results like these?

If you notice the same patterns in your own store, such as shoppers hesitating over sizing, shade matching, product comparisons, or technical details, guided shopping can make an immediate impact. These moments are often your biggest opportunities to increase revenue and improve the buying experience.

Many of the brands in this post started by identifying their most common pre-purchase questions and letting AI handle them at scale. You can do the same.

If you want to boost conversions, lift AOV, and create a smoother path to purchase, now is a great time to explore guided shopping for your team.

Book a demo or activate Shopping Assistant to get started.

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min read.
Conversational Commerce Metrics

Your Support Team Drives More Revenue Than You Think: Conversational Commerce Metrics

Your chat might be closing more sales than your checkout page. Here’s how to measure it.
By Tina Donati
0 min read . By Tina Donati

TL;DR:

  • Support chats can now be directly tied to revenue. Brands are measuring conversations by conversion rate, average order value (AOV), and GMV influenced.
  • AI resolution rate is only valuable if the answers are accurate and helpful. A high resolution rate doesn’t matter if it leads to poor recommendations — the best AI both deflects volume and drives confident purchases.
  • Chat conversion rates often outperform traditional channels. Brands like Arc’teryx saw a 75% lift in conversions (from 4% to 7%) when AI handled high-intent product questions.
  • Shoppers who chat often spend more. Conversations lead to higher AOVs by helping customers understand products, explore upgrades, and discover add-ons — not just through upselling, but smarter guidance.

Conversational commerce finally has a scoreboard.

For years, CX leaders knew support conversations mattered, they just couldn’t prove how much. Conversations lived in that gray area of ecommerce where shoppers got answers, agents did their best, and everyone agreed the channel was “important”… 

But tying those interactions back to actual revenue? Nearly impossible.

Fast forward to today, and everything has changed.

Real-time conversations — whether handled by a human agent or powered by AI — now leave a measurable footprint across the entire customer journey. You can see how many conversations directly influenced a purchase. 

In other words, conversational commerce is finally something CX teams can measure, optimize, and scale with confidence.

Why measuring conversational commerce matters now

If you want to prove the value of your CX strategy to your CFO, your marketing team, or your CEO, you need data, not anecdotes.

Leadership isn’t swayed by “We think conversations help shoppers.” They want to see the receipts. They want to know exactly how interactions influence revenue, which conversations drive conversion, and where AI meaningfully reduces workload without sacrificing quality.

That’s why conversational commerce metrics matter now more than ever. This gives CX leaders a way to:

  • Quantify the revenue influence of conversations
  • Understand where AI improves efficiency — and where humans add the most value
  • Make informed decisions on staffing, automation, and channel investment
  • Turn CX into a profit center instead of a cost center

These metrics let you track impact with clarity and confidence.

And once you can measure it, you can build a stronger case for deeper investment in conversational tools and strategy.

The 4 metric categories that define conversational commerce success

So, what exactly should CX teams be measuring?

While conversational commerce touches every part of the customer journey, the most meaningful insights fall into four core categories: 

  1. Automation performance
  2. Conversion & revenue impact
  3. Engagement quality
  4. Discounting behavior

Let’s dive into each.

Automation performance metrics

If you want to understand how well your conversational commerce strategy is working, automation performance is the first place to look. These metrics reveal how effectively AI is resolving shopper needs, reducing ticket volume, and stepping into revenue-driving conversations at scale.

The two most foundational metrics?

1. Resolution rate: Are AI-led conversations actually helpful?

Resolution rate measures how many conversations your AI handles from start to finish without needing a human to take over. On paper, high resolution rates sound like a guaranteed win. It suggests your AI is handling product questions, sizing concerns, shade matching, order guidance, and more — all without adding to your team’s workload.

But a high resolution rate doesn’t automatically mean your AI is performing well.

Yes, the ticket was “resolved,” but was the customer actually helped? Was the answer accurate? Did the shopper leave satisfied or frustrated?

This is where quality assurance becomes essential. Your AI should be resolving tickets accurately and helpfully, not simply checking boxes.

At its best, a strong resolution rate signals that your AI is:

  • Confidently answering product questions
  • Guiding shoppers to the right SKU, variant, shade, size, or style
  • Reducing cart abandonment caused by confusion
  • Helping pre-sale shoppers convert faster

When resolution rate quality goes up, so does revenue influence.

You can see this clearly with beauty brands, where accuracy matters enormously. bareMinerals, for example, used to receive a flood of shade-matching questions. Everything from “Which concealer matches my undertone?” to “This foundation shade was discontinued; what’s the closest match?” 

Before AI, these questions required well-trained agents and often created inconsistencies depending on who answered.

Once they introduced Shopping Assistant, resolution rate suddenly became more meaningful. AI wasn’t just closing tickets; it was giving smarter, more confident recommendations than many agents could deliver at scale, especially after hours. 

BareMinerals' AI Agent recommends a customer a foundation that matches their skin tone

That accuracy paid off. 

AI-influenced purchases at bareMinerals had zero returns in the first 30 days because customers were finally getting the right shade the first time.

That’s the difference between “resolved” and resolved well.

2. Zero-touch tickets: How many tickets never reach a human?

The zero-touch ticket rate measures something slightly different: the percentage of conversations AI manages entirely on its own, without ever being escalated to an agent.

This metric is a direct lens into:

  • Workload reduction
  • Team efficiency
  • Cost savings
  • AI’s ability to own high-volume question types

More importantly, deflection widens the funnel for more revenue-driven conversations.

When AI deflects more inbound questions, your support team can focus on conversations that truly require human expertise, including returns exceptions, escalations, VIP shoppers, and emotionally sensitive interactions.

Brands with strong deflection rates typically see:

  • Shorter wait times
  • Higher CSAT
  • Lower support costs
  • More AI-influenced revenue

Conversion and revenue impact metrics

If automation metrics tell you how well your AI is working, conversion and revenue metrics tell you how well it’s selling.

This category is where conversational commerce really proves its value because it shows the direct financial impact of every human- or AI-led interaction.

1. Chat Conversion Rate (CVR): How often do conversations turn into purchases?

Chat conversion rate measures the percentage of conversations that end in a purchase, and it’s one of the clearest indicators of whether your conversational strategy is influencing shopper decisions.

A strong CVR tells you that conversations are:

  • Building confidence
  • Removing hesitation
  • Guiding shoppers toward the right product

You see this clearly with brands selling technical or performance-driven products. 

Outdoor apparel shoppers, for example, don’t just need “a jacket” — they need to know which jacket will hold up in specific temperatures, conditions, or terrains. A well-trained AI can step into that moment and convert uncertainty into action.

Arc’teryx saw this firsthand. 

Arc'teryx uses Shopping Assistant to enable purchases directly from chat

Once Shopping Assistant started handling their high-intent pre-purchase questions, their chat conversion rate jumped dramatically — from 4% to 7%. A 75% lift. 

That’s what happens when shoppers finally get the expert guidance they’ve been searching for.

2. GMV influenced: The revenue ripple effect of conversations

Not every shopper buys the moment they finish a chat. Some take a few hours. Some need a day or two. Some want to compare specs or read reviews before committing.

GMV influenced captures this “tail effect” by tracking revenue within 1–3 days of a conversation.

It’s especially powerful for:

  • High-consideration purchases (like outdoor gear, home furniture, equipment)
  • Products with many options, specs, or configurations
  • Shoppers who need reassurance before buying

In Arc’teryx’s case, shoppers often take time to confirm they’re choosing the right technical gear.

Yet even with that natural pause in behavior, Shopping Assistant still influenced 3.7% of all revenue, not by forcing instant decisions, but by providing the clarity people needed to make the right one.

3. AOV from conversational commerce: Do conversations lead to bigger carts?

This metric looks at the average order value of shoppers who engage in a conversation versus those who don’t. 

If the conversational AOV is higher, it means your AI or agents are educating customers in ways that naturally expand the cart.

Examples of AOV-lifting conversations include:

  • Recommending complementary gear, tools, or accessories
  • Suggesting upgraded options based on needs
  • Helping shoppers understand the difference between product tiers
  • Explaining why a specific product is worth the investment

When conversations are done well, AOV increases not because shoppers are being upsold, but because they’re being guided

4. ROI of AI-powered conversations: The metric your leadership cares most about

ROI compares the revenue generated by conversational AI to the cost of the tool itself — in short, this is the number that turns heads in boardrooms.

Strong ROI shows that your AI:

  • Does the work of multiple agents
  • Drives new revenue, not just ticket deflection
  • Provides accurate answers consistently, at any time
  • Delivers a high-quality experience without expanding headcount

When ROI looks like that, AI stops being a “tool” and starts being an undeniable growth lever.

Related: The hidden power and ROI of automated customer support

Engagement metrics that indicate purchase intent

Not every metric in conversational commerce is a final outcome. Some are early signals that show whether shoppers are interested, paying attention, and moving closer to a purchase.

These engagement metrics are especially valuable because they reveal why conversations convert, not just whether they do. When engagement goes up, conversion usually follows.

1. Click-Through Rate (CTR): Are shoppers acting on the products your AI recommends?

CTR measures the percentage of shoppers who click the product links shared during a conversation. It’s one of the cleanest leading indicators of buyer intent because it reflects a moment where curiosity turns into action.

If CTR is high, it’s a sign that:

  • Your recommendations are relevant
  • The conversation is persuasive
  • The shopper trusts the guidance they’re getting
  • The AI is surfacing the right product at the right time

In other words, CTR tells you which conversations are influencing shopping behavior.

And the connection between CTR and revenue is often tighter than teams expect.

Just look at what happened with Caitlyn Minimalist. When they began comparing the results of human-led conversations versus AI-assisted ones over a 90-day period, CTR became one of the clearest predictors of success. Their Shopping Assistant consistently drove meaningful engagement with its recommendations — an 18% click-through rate on the products it suggested.

That level of engagement translated directly into better outcomes:

  • AI-driven conversations converted at 20%, compared to just 8% for human agents
  • Many of those clicks led to multi-item purchases
  • Overall, the brand experienced a 50% lift in sales from AI-assisted chats compared to human-only ones

When shoppers click, they’re moving deeper into the buying cycle. Strong CTR makes it easier to forecast conversion and understand how well your conversational flows are guiding shoppers toward the right products.

AI Agent recommends a customer with jewelry safe for sensitive skin

Discounting behavior metrics

Discounting can be one of the fastest ways to nudge a shopper toward checkout, but it’s also one of the fastest ways to erode margins. 

That’s why discount-related metrics matter so much in conversational commerce. 

They show not just whether AI is using discounts, but how effectively those discounts are driving conversions.

1. Discounts offered: Are incentives being used strategically or too often?

This metric tracks how many discount codes or promotional offers your AI is sharing during conversations. 

Ideally, discounts should be purposeful — timed to moments when a shopper hesitates or needs an extra nudge — not rolled out as a one-size-fits-all script. When you monitor “discounts offered,” you can ensure that incentives are being used as conversion tools, not crutches.

This visibility becomes particularly important at high-intent touchpoints, such as exit intent or cart recovery interactions, where a small incentive can meaningfully increase conversion if used correctly.

2. Discounts applied: Are those discounts actually influencing the purchase?

Offering a discount is one thing. Seeing whether customers use it is another.

A high “discounts applied” rate suggests:

  • The offer was compelling
  • The timing was right
  • The shopper truly needed that incentive to convert

A low usage rate tells a different story: Your team (or your AI) is discounting unnecessarily.

This metric alone often surprises brands. More often than not, CX teams discover they can discount less without hurting conversion, or that a non-discount incentive (like a relevant product recommendation) performs just as well.

Understanding this relationship helps teams tighten their promotional strategy, protect margins, and use discounts only where they actually drive incremental revenue.

How CX teams use these metrics to make better decisions

Once you know which metrics matter, the next step is building a system that brings them together in one place.

Think of your conversational commerce scorecard as a decision-making engine — something that helps you understand performance at a glance, spot bottlenecks, optimize AI, and guide shoppers more effectively.

In Gorgias, you can customize your analytics dashboard to watch the metrics that matter most to your brand. This becomes the single source of truth for understanding how conversations influence revenue.

Here’s what a powerful dashboard unlocks:

1. You learn where AI performs best (and where humans outperform)

Some parts of the customer journey are perfect for AI: repetitive questions, product education, sizing guidance, shade matching, order status checks. 

Others still benefit from human support, like emotional conversations, complex troubleshooting, multi-item styling, or high-value VIP concerns.

Metrics like resolution rate, zero-touch ticket rate, and chat conversion rate show you exactly which is which.

When you track these consistently, you can:

  • Identify conversation types AI should fully own
  • Spot where AI needs more training
  • Allocate human agents to higher-value conversations
  • Decide when humans should step in to drive stronger outcomes

For example, if AI handles 80% of sizing questions successfully but struggles with multi-item styling advice, that tells you where to invest in improving AI, and where human expertise should remain the default.

2. You uncover what shoppers actually need to convert

Metrics like CTR, CVR, and conversational AOV reveal the inner workings of shopper decision-making. They show which recommendations resonate, which don’t, and which messaging actually moves someone to purchase.

With these insights, CX teams can:

  • Refine product recommendations
  • Improve conversation flows that stall out
  • Adjust the tone or structure of AI messaging
  • Draft stronger scripts for human agents
  • Identify recurring questions that indicate missing PDP information

For instance, if shoppers repeatedly ask clarifying questions about a product’s material or fit, that’s a signal for merchandising or product teams

If recommendations with social proof get high engagement, marketing can integrate that insight into on-site messaging. 

Conversations reveal what customers really care about — often before analytics do.

3. You prove that conversations directly drive revenue

This is the moment when the scorecard stops being a CX tool and becomes a business tool.

A clear set of metrics shows how conversations tie to:

  • GMV influenced
  • AOV lift
  • Revenue generated by AI
  • ROI of conversational commerce tools

When a CX leader walks into a meeting and says, “Our AI Assistant influenced 5% of last month’s revenue” or “Conversational shoppers have a 20% higher AOV,” the perception of CX changes instantly.

You’re no longer a support cost. You’re a revenue channel.

And once you have numbers like ROI or revenue influence in hand, it becomes nearly impossible for anyone to argue against further investment in CX automation.

4. You identify where shoppers are dropping off or hesitating

A scorecard doesn’t just show what’s working, it surfaces what’s not.

Metrics make friction obvious:

Metric Signal

What It Means

Low CTR

Recommendations may be irrelevant or poorly timed.

Low CVR

Conversations aren’t persuasive enough to drive a purchase.

High deflection but low revenue

AI is resolving tickets, but not effectively selling.

High discount usage

Shoppers rely on incentives to convert.

Low discount usage

You may be offering discounts unnecessarily and losing margin.

Once you identify these patterns, you can run targeted experiments:

  • Test new scripts or flows
  • Adjust product recommendations
  • Add social proof or benefit framing
  • Reassess discounting strategies
  • Rework messaging on key PDPs

Compounded over time, these moments create major lifts in conversion and revenue.

5. You create a feedback loop across marketing, merchandising, and product

One of the biggest hidden values of conversational data is how it strengthens cross-functional decision-making.

A clear analytics dashboard gives teams visibility into:

  • Unclear or missing product information (from repeated questions)
  • Merchandising opportunities (from your most popular products)
  • Landing page or PDP improvements (from drop-off points)
  • Messaging that resonates with real customers (from AI messages)

Suddenly, CX isn’t just answering questions — it’s informing strategy across the business.

CX drives revenue when you measure what matters

With the right metrics in place, CX leaders can finally quantify the impact of every interaction, and use that data to shape smarter, more profitable customer journeys.

If you're ready to measure — and scale — the impact of your conversations, tools like Gorgias AI Agent and Shopping Assistant give CX teams the visibility, accuracy, and performance needed to turn every interaction into revenue.

Want to see it in action? Book a demo and discover what conversational commerce can do for your bottom line.

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min read.
Create powerful self-service resources
Capture support-generated revenue
Automate repetitive tasks

Further reading

Playbook: Chomps

Playbook: How Chomps Analyzes Customer Support Tickets to Improve Product and CX

By Zoe Kahn
12 min read.
0 min read . By Zoe Kahn

There are plenty of reasons your company might use Gorgias. For starters, it keeps your support team organized and efficient (and prevents your laptop from overheating from a million open tabs). But here at Chomps, one of our favorite things about Gorgias is how it helps us analyze tickets to improve our product, customer experience, and brand. Every. Single. Day. 

I’m Zoe Kahn, the Sr. Associate of CX here at Chomps. We’re a better-for-you snack brand dedicated to serving the highest quality products and the best experiences to our consumers. 

Chomps product picture.

We’ve been using Gorgias for almost a year at Chomps. And at my last company, I switched our helpdesk to Gorgias (where I fell in love with the tool). Big-time Gorgias girlie here. 

Below, I’ll show you how we use Gorgias to analyze tickets and surface insights that help us improve the Chomps brand. I hope you can steal some of these ideas to improve your product and brand, too.

What do we learn from ticket analysis?

Ticket analysis means studying customer support conversations to find the root of your customers’ most common frustrations. It’s how you evolve your product to delight customers and build a brand that people genuinely love. 

Let’s back up to understand the kinds of insights we can learn. We all know that issues are inevitable, especially in the ecommerce world. Tons of things can go wrong, like:

  • Shipping delays
  • Lost packages
  • Fulfillment errors
  • Website crashes
  • Inaccurate customer expectations
  • The list goes on (and on and on)

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But even when things do go wrong, we want to make experiences seamless for our consumers. At its most basic, this means getting customers answers as fast as possible when they experience issues. But even better, it means being proactive about preventing future issues rather than constantly applying bandaids. 

Ticket analysis is how you make all of this happen. 

What can ticket analysis teach us?

Every company approaches ticket analysis a little differently. At Chomps, ticket analysis helps us find patterns in support tickets and improve our products and processes. The end goal is more happy customers and a leaner support team — both of which hugely impact the business’s bottom line. 

How we set up Gorgias for ongoing ticket analysis

At Chomps, we use multiple tactics for ticket analysis, all based on the tools and dashboards Gorgias supplies. If you’re serious about ticket analysis, you’ll have the most success by first setting up a solid foundation within Gorgias.

Specifically, you’ll want to integrate all of your channels (email, SMS, live chat, and so on) and set up clear Views to keep your work organized. 

Once you set your foundation, you’re ready to tag your support tickets. Tagging tickets — consistently and robustly — is the key to analyzing your frequent support issues and making high-impact decisions backed up by data.

At Chomps, we use three methods of tagging to keep track of our ticket trends:

  1. Auto-tagging based on keywords and support channels
  2. Manually adding tags to tickets where needed
  3. Creating macros for top inquiries and monitoring usage

1) Auto-tag based on topics

To get Gorgias to start auto-tagging tickets for you, you’ll set up auto-tags based on your unique business and the kinds of inquiries you usually see. Here are some common tags we use at Chomps that you’ll probably need, too:

  • Manufacturer
  • Subscription
  • Return/Exchange
  • Fulfillment
  • Order-Status
  • Mis-ship
  • Wholesale
  • Urgent
Recommendations for auto-tagging.

Let’s use my favorite priority folder as an example: the Urgent tag.

Auto-tagging is super relevant to most DTC businesses: It surfaces tickets that need immediate attention, such as order changes and address updates that need to be implemented before an order’s out the door.

This automation is incredibly useful, especially when you’re dealing with a high volume of tickets.

Here’s what our URGENT tagging rule looks like at Chomps:

Rule to auto-tag urgent requests.

Let’s look at the logic:

  • The trigger is simple: It runs when tickets get created.
  • Next, under “message body CONTAINS ONE OF,we’re telling the Rule to look for keywords that are good guesses about what urgent tickets might include: things like “cancel” and “update my address.” If a customer uses those keywords, we want that ticket on our radar quickly. 
  • See the keyword that says  “cs_urgent_order_update”? This phrase is always on a ticket if the customer has filled out our contact form (you can build one of these with Gorgias) and selected “Urgent Order Update” as the subject. 
Contact form to automatically tag tickets.

We use this tactic across a variety of areas — every single subject in our dropdown list auto-tags the ticket so we can route it correctly. 

These tags — whether generated from the form or automatically applied based on keywords — allow us to assign priority and monitor the types of tickets we receive. These tags help us find common issues and inefficiencies and solve issues at the root.

Thanks to this urgent auto-tag Rule, we are more likely to update incorrect customer orders before they’re fulfilled by our warehouse. Since our warehouse team is speedy, if orders aren’t adjusted (almost) immediately, these requests get lost among all the non-urgent requests.

Not being able to prioritize correctly means we either lose money by honoring a replacement order or upset the customer.

The fixes don’t just apply to support operations, either: We’ve made changes to our website, fulfillment processes, marketing emails, and much more based on this kind of bulk ticket analysis.

📚 Related reading: See nine more Rule suggestions for auto-tagging your customer service requests. 

2) Manually add tags where needed

We use tags to track ticket types and to understand the percentage of our total tickets that each topic makes up. Automation gets us most of the way there, but even Gorgias’s best-in-class language detection isn’t 100% perfect. Anyone who works in customer service knows that customers can use all kinds of different vocabulary to describe what they’re after. 

At Chomps, every team member gets trained to check the tags on a ticket as soon as they start working on it. On top of that, no tickets should ever be closed without applying at least one tag.

Chomps tags.

Thanks to this vigilance, we have a lot of confidence in the data we’re using for ticket analysis. There’s no point in spending time analyzing support tickets if you think the data is bad, so it’s worth building these habits and processes. Future you will be thankful (and so will all your customers).

💡 Pro tip: If getting your team to check and apply tags is a challenge, you can set up a Rule that reopens untagged tickets or assigns them to a manager. 

3) Create Macros for top inquiries and monitor usage

Macros are imperative for keeping an efficient and lean support team. But did you know you can also use macros to monitor inquiries, problems, and customer feedback? 

I have a great example of this. At one point last year, we weren’t able to keep up with demand and many of our jerky stick flavors were going out of stock (a good problem to have, but still a problem). 

We made efforts to proactively communicate supply issues, like back-in-stock notifications and keeping social media up to date with the available flavors. However, we’d still get an influx of consumers who wanted to know when exactly specific flavors would be back in stock. 

Using Gorgias, I was able to set up Macros based on each unique flavor we offer and send these out to every customer who asked. It’s not all that creative, and most support teams and companies would stop there. We didn’t.

From there, I looked at our team’s Macro usage and reported back to the rest of the company weekly to share which flavors were requested the most. This analysis was crucial because at that time we had to pick and choose which flavors to produce. 

We needed clarity on what our consumers really wanted — rolling the dice and gambling on random flavors would have made a bad situation worse. Specifically, we may have ended up with overstock on some flavors, and failed to stock up on flavors customers would actually try to order.

Out-of-stock turkey macro usage count

This is just one example. But these kinds of issues are things that pop up all the time when you work in customer service. Getting smart about your Macro creation and monitoring usage unlocks a whole new set of data your CX team can use to understand your customers.

How to implement feedback

You can analyze until you’re blue in the face, but if the outcome isn’t taking tangible action to improve your product, customer support, and brand, does it really matter?

Implementing changes based on your support ticket analysis is where the true brand improvement happens. You can’t do that without creating an impeccable feedback loop with key players across your company.

At Chomps, our CX team has recurring meetings with different parts of the team to share the results of our ongoing ticket analysis. Here are two regular meetings we use to share insights:

Monthly CX & Operations meetings

Each month, we have a meeting between our CX and Ops teams. This is where we go over product complaints, innovation requests, and order fulfillment hiccups. 

We like to keep this meeting recurring instead of just doing it when there’s a fire to put out. It allows us to touch base on what’s coming in future months, putting us in a more proactive place. However, we’ll schedule additional meetings if we see an influx in complaints on a certain topic.

We structure the meetings around notable tickets with the following tags, all of which fall into our operations category:

  1. Manufacturer: These are any complaints about the product that we get about the product, whether it’s about the package being damaged or a customer commenting on the texture. These tickets also get a tag based on which retailer or online shop the customer ordered from. That way, if we see an influx of outreach from a certain retailer, we can dig into it and communicate with the appropriate teams.
  2. Mis-ship: This is when a customer orders one thing and receives another. while we’d love this never to happen but that’s not possible. We’re happy as long as we can catch it.
  3. Innovation: This tag is used when customers request a new flavor or snack suggestion. Since the possibilities are endless, we love hearing and sharing these inquiries!

Each month, we analyze the number of tags along with the number of times relevant Macros get used. We compare these to the previous month(s), keeping in mind the percentage of issues compared to sales. 

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For example, if the Macro named Fulfillment - Mis-ship - MISSING is up 25%, we can reach out to the warehouse team and ask them to look into what might have happened. Maybe there’s a new team member who needs more training or maybe some bins have gotten mixed up. Stuff happens! Issues are inevitable, the trick is to find (and correct) them.

We get a ton of value out of analyzing complaints around things like taste and texture, as well as innovation requests. Our goal is to amplify the voices of our customers to help other teams throughout Chomps understand what matters to our customers, so we can give them what they want.

Weekly CX & Ecommerce team meetings

Each week, we discuss support tickets about sales, user experience, site bugs, and related topics with our Ecommerce team. They take the insights and apply improvements to our site. 

For instance, this past summer, we had a “$10 off $49” promotion. Customers experienced confusion about the fact that they had to manually enter coupon codes, and didn’t always understand they needed to reach a $49 threshold for the code to work.

Below is a clipping from an old promo email we sent out for a sale. Customers had to use the code at checkout and ensure the order was over $49. This initially seemed like no big deal to us. But every extra step or stipulation you give the customer is a barrier to conversion

Old promotion

These are “issues'' we didn’t think of before launching the promotion, but customers wrote in when they experienced these issues. We received emails saying, “I forgot my coupon code,” and noticed conversions decreased. We wondered if it was perhaps because we didn’t provide examples of how to get to the $49 threshold and didn’t offer any “help” at checkout, or examples in the emails.

We were able to improve our promotions in the future thanks to ticket and Macro analysis.

In promotions we’ve held since then, we’ve:

  • Implemented an auto-apply discount so customers don’t have to remember codes
  • Included clear cart upsell callouts to help customers reach thresholds
  • Created clearer graphics for our email, SMS, and social campaigns
New promotion

We also do a better job of showing the types of discounts customers can receive right on the website, in the flow of shopping:

Show promotion opportunities on your site

We also installed a Shopify app that helps guide customers to discounts in their cart — for example, a clear indication of how to unlock free shipping. This helps us increase conversions and average order value (AOV) and decrease customer frustrations and confusion. A win-win for Chomps and our lovely consumers!

Slider to show free shipping progress on Chomps' website

Without analyzing these support tickets, we would probably be making the same mistakes over and over again, losing out on sales while frustrating our consumers at the same time.

Take advantage of unlimited seats in Gorgias

This last suggestion isn’t exactly a step in the process. But it’s something to keep in mind as you share customer feedback with your team: Take advantage of the fact that Gorgias allows unlimited seats. 

During our new employee onboarding (for all positions at Chomps), we teach new hires how to use the Gorgias platform. They also get to spend a couple days “on the desk,” handling tickets in Gorgias. This is helpful for team onboarding, plus it means we don’t have to hire additional outside help or sacrifice our average response times during peak seasons. We simply grab internal volunteers to help! 

This also helps with analyzing issues: Oftentimes, Chomps volunteers from other teams have different insights and can spot issues that we CX folks might not have noticed. For instance, Alexa from our ecommerce team has helped out a few times, and here’s what she told me about using Gorgias:

“As a non-CX'r, Gorgias has made helping out the CX team so much easier.  The platform is intuitive. And because our team has built out many Macros, I can easily answer common questions and concerns. Although I'm not on the platform every day, I can toggle between open and closed tickets if I need to reference an old situation and get up to speed quickly and efficiently.”

Ticket analysis (done right) drives great experiences and business growth 

Gorgias includes all kinds of tools to help us analyze our support tickets at Chomps. This analysis has tons of impacts:

  • We can fix issues, rather than put bandaids on them (or even worse, ignore them!)
  • We can scale our brand more efficiently because we’re not constantly barraged by the same tickets over and over
  • Our CX team can spend more time on meaningful conversations with our customers

At Chomps, we love to connect with and build relationships with our consumers. We think it’s part of what makes for an exceptional brand. It’s how you get loyal customers. But you can’t do this when your CX team is bogged down with tickets or your product is rife with issues. 

Ticket analysis is the secret sauce that uncovers issues so you can focus on delivering exceptional experiences, over and over and over.

Want to keep learning from other Gorgias power users? Check out our recent webinar with jewelry brand Jaxxon. They share how they prepare for peak season and set up customer experiences that drives sales instead of repetitive tickets.

Automate WISMO Requests

What's The Secret to Reducing WISMO Requests?

By Jordan Miller
14 min read.
0 min read . By Jordan Miller

Quick summary:

A lack of proactive communication and resources from businesses largely causes WISMO. The best way to reduce WISMO is to provide self-service resources like a chat widget with automated responses and a shipping policy page allowing customers to track orders and find solutions.

WISMO (where is my order?) is the most common question in ecommerce, accounting for 18% of incoming requests on average, according to Gorgias data. 

While WISMO requests are common, too many of them signal an un-optimized customer experience and cause real consequences:

  • Longer first response times for all requests, due to a cluttered inbox of WISMO requests
  • Frustrated customers that don’t want to wait for an answer to this simple questions
  • Overloaded customer service teams who don’t have energy for more important questions 

By developing a strategic plan to manage WISMO requests that includes automation and self-service resources, ecommerce businesses can cure overflowing inboxes and provide better customer experiences. 

Below, learn how to develop your own strategy to stop WISMO requests before they ever turn into support tickets.

What is WISMO?

WISMO is an acronym that stands for “Where is my order?” It’s a common question customers often ask after making a purchase. 

The answer to this question depends on the status of the customer’s order:

  • Order received, not yet shipped
  • Order shipped, in transit
  • Order delivered
  • Order lost

What are where is my order (WISMO) requests?

Common WISMO requests along the customer journey 

WISMO queries can look like…

  • “Where is my package?”
  • “Why hasn’t my order arrived?
  • “When will you ship my order? I haven’t received it.”
  • “What happened to my order?”
  • “Give me updates about my order.”
  • “Have you lost my order?”
  • “I’m still waiting for my order.”
  • “Please ship my order as quickly as possible.”
  • “I need my order to arrive today.”

A customer may reach out to you with a WISMO inquiry via phone, email, SMS, live chat, chatbot, or social media (direct message or through post comments). However, customers tend to reach out only if: 

  • You don’t provide a confirmation email with tracking information after purchases
  • They don’t know the estimated delivery date
  • They have issues with tracking their order using the code you’ve provided
  • The shipping date has passed or their order never arrived (without an update)

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Why you should care about WISMO

The moment a new customer clicks “Submit” on a checkout page, they’ll start thinking (a lot) about their order. According to Forbes, the average customer checks the status of their order 4.6 times.

If a customer doesn’t hear anything about their order from you or has to wait too long for an update, they’ll likely get anxious and send you a WISMO request. 

Apart from that, there are additional reasons you should pay attention to WISMO calls: 

  • 33% of consumers across all markets have made a complaint to a retailer about delivery. Approximately 69% say the ability to track orders is one of the top three considerations when buying a product online. (Metapack)
  • 2 out of 5 US online customers say they are much more likely to buy when they have visibility into delivery dates in advance. As for delays, 70% of customers are less likely to shop with the retailer again if an item is delayed and the retailer fails to inform them about the delay. (Forrester and Bizrate Insights)
  • 83% of customers said convenience is more important now than 5 years ago. They want convenience in finding and researching products, comparing prices, checking inventory and shipping methods, and more. (National Retail Federation)  
  • 73% of customers will consider switching to a competitor after one negative customer service experience, adversely impacting customer loyalty and creating a ripple effect of challenges for a business. (The Northridge Group)

4 causes of WISMO

A surge in WISMO requests is a result of both internal and external factors, primarily rooted in a lack of communication and insufficient systems. Here are four internal and external causes to help you address and mitigate WISMO tickets.

Internal causes of WISMO

Addressing the internal causes of WISMO tickets is crucial if you're looking to enhance your order tracking and customer communication processes. Here are two key internal reasons for WISMO tickets:

  1. Inadequate order management systems: Outdated or inefficient order management systems can lead to inaccuracies in order tracking. This leads to customers seeking reassurance about the status of their orders.
  2. Poor cross-team communication: When there is a lack of effective communication between teams like logistics, customer service, and inventory management, it can cause delays in order processing and delivery. Since customers are unaware of these internal issues, they request for WISMO information.

External causes of WISMO

External factors are often beyond your business' direct control but can be managed through proactive measures. Here are some external reasons for WISMO tickets:

  1. Lack of real-time tracking information: If your order tracking system lacks real-time updates, customers may be left in the dark about the exact location of their packages. As a result, they submit WISMO tickets to discover their order status.
  2. Shipping carrier delays: External shipping carriers can encounter unexpected delays due to weather conditions, customs issues, or other unforeseen events. When customers experience shipping delays, they directly ask the merchants for clarity.

When you identify both the internal and external causes of WISMO inquiries, you can take proactive steps to decrease their occurrence and improve the overall customer experience.

What is the real cost of WISMO?

Most ecommerce merchants are aware of WISMO and the support costs associated with handling tickets, but not all of them understand the true cost of leaving all WISMO requests to a human. 

What is the cost of WISMO requests?

1) When a human agent responds to the WISMO request

When customers send WISMO requests to your human team, you’ll end up paying the most due to the cost of a human agent searching for the answer and responding manually. In this case, you’ll have to pay for the price of one ticket and customer support agent labor, which comes out to an estimated $12. 

Here’s the math:

  • Price of one ticket: Between $0.18 and $0.40
  • Customer support agent cost per hour: About $30
  • Working hours per day: 8
  • Average # tickets answered per day: 20
  • The labor cost of one ticket: ($30*8)/20 = $14
  • What a WISMO request costs you: From $12.18 ($0.18 + $12) to $12.40 ($0.40 + $12)

Imagine you have 1,000 orders per month and receive 150 WISMO requests. Each month, you’re paying $1,860 (150*$12.40) just to answer questions about order status.

Additionally, a queue full of WISMO tickets also means your team has less bandwidth and time to respond to frustrated customer emails and resolve priority tickets (like pre-sales questions or questions from VIP customers).

2) When you answer the ticket with automation

Let’s say you’ve created an automated response for WISMO in Gorgias using a Rule, or an automatic reply with a helpdesk like Gorgias. When a customer asks, “Where is my order?,” they’ll receive an automatic answer with personalized details about their order status without any human intervention. 

Automated responses to WISMO requests.

In this case, what WISMO request costs you is the price of one billable ticket in your Gorgias helpdesk, which is between $0.18 and $0.40, depending on your plan.

Most brands wince at the words “automated answer,” and for good reason. Some brands overuse automation, providing a frustrating customer experience. But customers would much rather have this information instantly available than wait for a “human touch.” And if your human agents spend all their time on these simple questions, they won’t have time or energy for tickets that actually need a human touch.

Jewelry brand Jaxxon has found success implementing automation into its customer support: 

“I was very apprehensive about using automation, but we're really liking it! I've tested it out myself as if I'm a customer, and it's really a smooth process.”

— Caela Castillo, Director of Customer Experience at Jaxxon

‎3) When the customer gets an answer via self-service 

This is the cheapest option for your business and the most convenient option for your customers.

When you’re able to deflect WISMO queries with self-service, your cost will be $0! If you can direct people to real-time order tracking in your chat widget, Help Center, or FAQ page, you ensure that customers get an answer before a ticket gets created and your support team can focus on the people with more complicated issues. 

Check out this video to learn how to provide order tracking (and more) in chat to customers with the Gorgias Automate product:

‎But wait, is automating responses good for CX?

When people ask for a status update on an order, they’re looking for a simple information exchange — not friendly conversation. Most likely they’re looking for an immediate answer without having to type up an email and wait for a response. 

If your agents are busy responding to simple WISMO tickets, they won’t be available to provide the human touch on tickets that actually need it. Plus, customers can always ask follow-up questions via email, chat, or phone if they really need more information.

4 ways to reduce WISMO requests

Most customers send in a WISMO inquiry because they’re concerned about their order. The best thing that customer service teams can do to reduce the number of these requests is to provide order status information proactively

Reduce WISMO requests

1. Enable a self-service portal for order tracking 

In Gorgias, you can enable the self-service portal feature on your chat widget and Help Center to quickly resolve WISMO requests. This feature allows your customers to check their order status, package tracking number, and shipping details on their own. They can also request a cancellation or return, and report issues about their order — all without having to type up a message.

Reduce WISMO requests with self-service in the chat widget.

This strategy has proven effective for the Jaxxon team. “Chat used to be a support tool for repetitive questions and problem solving,” says Caela. “But now self-service takes care of that for us. Within a month of launching self-service, we’ve seen that our live chat (billable chat tickets) went down by 17%.”

Businesses can also provide this self-service order tracking via a help center. For example, shoe brand ALOHAS offers a “Manage your orders” section at the top of its help center with Gorgias.

Reduce WISMO requests with self-service in a Help Center

Check out this tutorial to learn how to install this feature for your helpdesk

2. Automate shipping updates at each post-purchase stage

Just showing delivery estimates on your website isn’t enough. You should also keep customers posted on their order fulfillment status at each post-purchase stage to ensure a smooth delivery process and a positive delivery experience. You can automate delivery update emails within Shopify if you have a Shopify store.   

Order confirmation emails.
Princess Polly

Start with these:

  • Send an order confirmation email notification: Let a customer know you’ve received their order and will start processing it. 
  • Provide a branded tracking page: Use third-party shipping and fulfillment apps like AfterShip to create a branded tracking page. Doing this is a great way to control the number of WISMO requests, create a better order tracking experience, and maintain your brand consistency. 
  • Send packing and delivery notifications: Inform the customer when you complete the packaging and start shipping orders to increase their trust. 
  • Send delay updates: If there is any delivery delay, tell your customer. Being proactive and giving an honest update will keep them satisfied with your post-purchase experience

📚 Read more about how to optimize your customer experience to deflect WISMO tickets and generate revenue.

3. How to use automated responses to handle WISMO requests

If customers do send you a message about the status of their order, they expect a quick response from you. To fulfill their expectation, you can accelerate your responsiveness by using customer service automation to deliver an immediate response.

In Gorgias, you can create automated responses for WISMO requests no matter if order tracking is available or not. Here’s how:  

1. When Tracking is Available

Step 1: Go to Settings > Rules > click Create a new rule that will send an automated response to your customer.  

Step 2: Do the following: 

Rule to identify WISMO requests.
  • Select WHEN -> Ticket created as a trigger. 
  • Click THEN, and select an IF statement. 
  • Select message intents -> name -> contains all of -> shipping/status. 
  • Click again on the IF button, and select AND. 
  • Choose date of last order (Shopify variable) -> Less than -> 20 days ago.
  • Click again on the IF button, and select AND. 
  • Choose last order tracking number -> IS NOT EMPTY.

Step 3

  • Click THEN, select Set Status as an action > closed to automatically close all tickets with this subject. 
  • Click THEN again, select Add tags > type Order status/auto-reply.
  • Click THEN again -> choose Reply to customer as an action -> type your message. Your answer can be like this:

Hey {{customer first name}},

Get excited! Your order {{number of last order}} is on its way to <address 1, address 2, Zip code, city, province>.

Here is the latest: {{ Tracking URL of last order }}

{{ Tracking number of last order }}

Let us know if you have any other questions. 

WISMO request response when tracking information is available.

Step 4: Click Save rule and activate the rule. 

2. When Tracking isn’t Available

Sometimes, the delivery status for orders on the order status page hasn’t been updated. Reasons can be you haven’t shipped the order yet, or your courier doesn’t support real-time tracking.

In this case, you can create the following rule to send an automated answer to your customer’s WISMO request.

Step 1: Go to Settings > Rules > click Create a new rule that will send an automated response to your customer.  

Step 2: Do the following: 

WISMO request when tracking information is not available.
  • Select WHEN > Ticket created as a trigger. 
  • Click THEN, and select an IF statement. 
  • Select message intents -> Name -> Contains all of -> shipping/status. 
  • Click again on the IF button > AND. 
  • Choose last order fulfillment status -> IS NOT > fulfilled.
  • Click again on the IF button > AND > message intents > DOES NOT CONTAIN ANY OF > type exchange/request and order/change.

Step 3

  • Click THEN, select Set Status as an action > closed to automatically close all tickets with this subject. 
  • Click THEN again, select Add tags > type Order status/auto-reply.

Tag WISMO tickets.
  • Click on THEN again -> choose Reply to customer as an action -> type your message. 

Your answer can be like this:

Hey [customer first name],

Working hard to fulfill your order, please check here for now: .

Here’s your order number .

Keep an eye on a tracking email soon!

WISMO response when tracking information is not available.

Step 4: Click Save rule and activate the rule. 

If you subscribe to the Automate product, you’ll get access to autoresponders managed by the Gorgias team, so you won’t have to set these Rules up yourself:

‎4. Be transparent and upfront about your shipping policy 

A clear shipping policy helps you proactively set the right customer expectations around shipping times and costs. It’s also useful to reduce support tickets because customers can find the answers to their shipping questions themselves. 

When you maintain an open dialogue with customers, you give them more confidence to buy from you. They’ll trust you, talk about you on social media, and keep coming back to your store. 

Your shipping policy should include information about order processing time, estimated delivery time, potential service interruptions, and disclaimer. You can display this policy on product detail pages, cart pages, FAQs page, or help center, for example: 

Shipping policy example 1
Lifeboost Coffee

Since the wake of the Covid-19 pandemic and supply chain issues, many online stores have set up a dedicated page for showing how they’re handling shipping. They also inform shoppers by displaying the information on a website announcement bar or popup. 

Here’s an excellent example from Go-To Skincare: 

Shipping policy example 2.
Go-To Skincare

You should also always link to an order tracking portal within all order confirmation emails so that customers can self-serve checking in on order status. 

And, as an alternative to sharing the order number front and center in the confirmation email, consider putting “track order” that links to your self-service order tracking portal. You should still share the order number, but provide an even more prominent call to action to track orders on your website rather than your carrier's (like FedEx or USPS). 

Automate WISMO to save time for higher-impact projects

Proactively solving for WISMO requests with automation and self-service can help you reduce customer service costs, increase customer satisfaction, and improve your support agents’ performance. That was the case for the ALOHAS team. 

“Since we started to fully leverage Automate, overall, 56% of chat tickets are handled by self-service.”

— Annalisa Micalizzi, Manager of Global Customer Service at ALOHAS

Once agents are, they can start reaching out to live shoppers to unblock sales, proactively DM customers to bring social traffic to the website, or a myriad of other revenue-boosting CX activities.

Ready to outgrow WISMO with Gorgias? Claim your demo or start a free trial.

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Best Shopify Apps to Increase Sales

17 Non-Obvious Shopify Apps To Increase Sales

By Ryan Baum
15 min read.
0 min read . By Ryan Baum

On the Shopify App Store, you'll find no shortage of apps purporting to increase your store's sales. 

But while most of these apps do indeed offer some value, many sales-boosting activities are actually activities that are not directly related to sales — chiefly by improving the customer experience before and after customers make a purchase.

With that in mind, we decided to break down some of the best Shopify apps for both directly and indirectly boosting your sales. Read on to see our full list of top-selling, sales-boosting apps.

1) Carthook: Upsell customers right after checkout

Shopify rating: 4.2 ⭐ (35 reviews)

Conversion rate optimization is underrated. Most online stores focus so much on promotion: more money on ads, more emails, more marketing. But boosting your store's conversion rate means that all of those customers you are driving to your site with your marketing efforts are that much more likely to place a purchase.

And that's exactly what CartHook helps you do. Not only can you optimize your checkout with CartHook's drag-and-drop tool, you can also add upsells to your checkout process. 

Unique features

  • Drag-and-drop functionality for creating customized post-purchase offers
  • Large library of post-purchase offer templates along with addable elements such as timers, CTAs, and product descriptions
  • Intuitive dashboard for tracking the revenue generated from your post-purchase offers

Pricing

  • Paid plans start $50/month

How this app helps boost sales

Upsells and cross-sells are both great strategies for increasing average order value, which boosts revenue without having to spend tons on marketing efforts to bring more customers to your site. 

By sending these upsell and cross-sell offers automatically following a purchase, Carthook turns every sale on your website into an opportunity for even more revenue generation.

 2) Klaviyo: The go-to SMS and email marketing app

Shopify rating: 4 ⭐ (1,650 reviews)

Imagine that you buy two dresses from a store. The store sends you an email informing you they have a pair of shoes on sale that would go well with those dresses. Which is more powerful: that email or a generic one inviting you to buy as much as possible on their site?

Klaviyo, the best Shopify app for SMS and email marketing, takes care of this for you. It gathers data on purchase history, browsing history, engagement, and demographic information to create hyper-targeted promotions at scale.

Learn more about how Klaviyo integrates with Gorgias.

Unique features

  • Automated campaigns based on triggers such as cart abandonment triggers, price drop triggers, and back-in-stock triggers
  • Analytics dashboard that provides real-time insights on all of your email marketing campaigns
  • Large library of email templates to help you easily create marketing emails that make you look like a pro

Pricing

  • Free plan available
  • Paid plans start $5/month

How this app helps boost sales

Email marketing remains a highly effective way to reach customers and drive sales. Email marketing that is targeted and personalized, meanwhile, is all more the more advantageous. With Klaviyo, you'll be able to create automated, personalized email marketing campaigns that are hyper-targeted for optimum conversion rates.

3) UpOrder (formerly Spently): Customize your Shopify notifications

Shopify rating: 4.8 ⭐(579 reviews)

According to a study by Experian, transactional emails average a 114.3% open rate and a 14.4% click rate vs. promotional bulk emails, which average a 12.5% open rate with a 3.1% click rate — that’s 10X open rate, 5X click rate, and 6X more ROI.

This provides a great opportunity to personalize your store’s push notifications to match your brand, facilitate engagement and drive repeat purchases using marketing components.

These include personalized product recommendations, unique discount codes, countdown timers, and referral components. Paired with analytics so that you can iterate with data — after all, you can’t manage metrics that you can’t measure.

Spently makes it easy to customize your Shopify notifications using their builder, allowing you to leverage this captive audience’s engagement within minutes.

Unique features

  • Drag-and-drop designer for customizing all 27 Shopify email notification templates
  • In-app dashboard that provides ROI-based reporting and analytics
  • Recommendation engine that can automatically provide personalized product recommendations

Pricing

  • Free plan available
  • Paid plans determined by # of orders per month

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How this app helps boost sales

One of the few drawbacks of email marketing is that not everyone opens brand emails. But the high open rate of transactional emails make them an excellent medium for broadcasting key marketing messages. 

By enabling you to customize these notifications and transactional emails to include product recommendations and other marketing materials, Spently lets you capitalize on the captive audience these emails and notifications provide.

4) Gorgias: The customer support platform that boosts revenue

Shopify rating: 4.4 ⭐(533 reviews)

According to data from Shopify, 7 out of 10 online shoppers say that they will spend more money with a business that provides consistently great customer service. However, providing this type of customer service can be tedious and overwhelming without the right tools.

Fortunately, Gorgias solves this problem with Macros and Rules automation. Our helpdesk app allows you to set up rules for frequently asked questions. It detects the text in a conversation and responds based on the rule you create.

For example, Gorgias automatically deflects WISMO tickets and keeps shoppers up to date on their order status. Because of our user-friendly integration with Shopify, we can pull the order data based on the customer's email address and insert that into the reply — no need to copy/paste information or switch tabs

Plus, you can connect all your social media accounts, SMS, voice, and more, for an omnichannel solution

It's easy to set up, and we help you create these rules, so start a free trial here!

Unique features

  • Centralized customer support dashboard where agents can respond to messages across numerous support channels
  • Rules, Macros, and automations for deflecting common customer questions and automating tedious customer support tasks
  • Fast-loading live chat widget for offering live chat support on your ecommerce site, including a contact form for building an email list

Pricing

  • Paid plans start $10/month

How this app helps boost sales

Today, customer experience is the new battleground on which Shopify sales are won. By offering exceptional customer support via Gorgias, you can improve customer loyalty and generate more referrals and word-of-mouth advertising. 

Gorgias also enables brands to draw a direct line between customer support and revenue generation with detailed revenue statistics showcasing the impact of customer support on your brand's bottom line.

5) Okendo: Display social proof

Shopify rating: 4.9 ⭐(663 reviews)

Real-world shopping is often a very social activity. You get together with your friends and go to stores to try out products. Studies show that we're most influenced by what our friends think and say about a brand.

When we shop online, that social element tends to be missing. That's why you need Okendo, the best Shopify app to mimic that social element and showcase customer experiences.

Okendo makes it easy for you to collect what people say about your products and brand and display them on your Shopify store at key points. This enhances the customer experience allowing them to see your products in a social context.

Through a range of user-generated content like ratings, reviews, trust badges, photos, and even videos, your visitors to your store can see how others are using and loving your products, increasing the chances that they will purchase.

Learn more about how Okendo integrates with Gorgias.

Unique features

  • Allows customers to visually showcase their experience by adding photos or videos to their review
  • Enables you to request customer reviews via automated post-purchase emails
  • Offers tools for publishing user-generated content on social media and at strategic locations on your website

Pricing

  • Paid plans start $19/month

How this app helps boost sales

Customer reviews provide your products and brand with powerful social proof, providing unbiased information guaranteed to increase customer trust. 

By helping you collect more of these invaluable reviews and enabling you to display them at key points across your store, Okendo creates a more social customer journey that will improve your store's conversion rate.

6) Returnly: Create a streamlined returns process

Shopify rating: 4.6 ⭐(165 reviews)

Returnly is a Shopify app that helps you create a more customer-friendly returns process and helps reduce the negative impact of product returns by incentivizing customers to exchange their product rather than return it for a refund. 

Returnly allows you to create transparent return policies and enables customers to return products without jumping through hoops. It also connects with your existing logistics systems to handle these returns at a lower cost to you and your customers.

More interestingly, Returnly has an instant refund feature where customers can get a refund on their returns before sending the product back. You may think it results in fraud, but it actually increases customer loyalty and results in re-purchases!

Learn more about how Returnly integrates with Gorgias.

Unique features

  • Encourages exchanges by enabling customers to receive the correct item before returning their previous item
  • Includes a fully-branded, customizable returns portal
  • Automates the returns process to reduce your team's workload

Pricing

  • Paid plans start $99/month

How this app helps boost sales

Product returns can take a big chunk out of an online store's profits, but it's still important to offer a smooth and easy returns process to retain more loyal customers. Not only does Returnly help boost customer loyalty by offering them a hassle-free returns process, but it also helps mitigate the financial impact of returns by encouraging customers to exchange their items instead. 

This sort of "addition by subtraction" grows your store's sales by reducing the number of lost sales due to returns.

7) Loop Returns: Another excellent returns management app

Shopify rating: 4.3 ⭐(29 reviews)

Loop Returns is a returns management app that shares much in common with Returnly. Both apps enable you to streamline the returns process for your customers by creating returns policies and branded returns portals.

However, one key difference is that Loop Returns incentivizes exchanges over refunds by offering customers bonus store credit for choosing to exchange their item rather than return it. This helps mitigate the impact of product returns on your store's bottom line.

Learn more about how Loop Returns integrates with Gorgias.

Unique features

  • Encourages customers to exchange products by offering them bonus store credit
  • Includes a customizable returns portal that enables one-click exchanges
  • Automates the returns process by auto-enforcing the return policy that you create

Pricing

  • Paid plans start $59/month

How this app helps boost sales

Loop Returns provides the same sales-boosting benefits that we've already covered for Returnly — it just goes about it slightly differently. With Loop Returns, you'll be able to incentivize customers to choose exchanges over returns by offering them bonus credit. Your customers will love this, and the cost of the bonus credit you provide is sure to be lower than the losses incurred by processing a return.

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8) Shoelace: Run automated retargeting campaigns

Shopify rating: 4.5 ⭐(404 reviews)

Retargeting ads are an excellent way to recapture potential customers who have already discovered your products, and Shoelace is an app that completely automates this process for you. It's like hiring the world's best retargeting expert to run your campaigns, but really it's just an excellent Shopify app.

Once you plug Shoelace into your ecommerce store, it starts to generate campaigns on its own. Yup, it even suggests the ad creatives, so all you have to do is approve it. Then it retargets visitors based on the pages they visited and the products they're interested in. That makes it highly personalized to them.

Imagine you sell all types of fashion items, from shirts to shoes. Someone visits your site to look at a shoe and then browses a competitor to compare prices. Instead of a generic retargeting ad that most stores create, your ad automatically promotes that specific shoe, reminding them to come back and purchase it.

Unique features

  • Runs automated social media retargeting ads, no coding required
  • Runs automated Google Ads retargeting ads
  • Boasts an impressive library of pre-built ad templates

Pricing

  • Paid plans start $79/month

How this app helps boost sales

It's rare these days that customers will purchase a product as soon as they discover it. It's much more common for customers to take their time, researching your product and comparing it to competitors. 

However, you want to make sure that customers who discover your product don't forget about it throughout this process, and retargeting ads are a great way to keep it on the forefront of their mind. Shoelace runs these powerful retargeting ads automatically, ensuring that anyone interested in your products is carefully nudged toward a purchase.

9) Shopify Flow: Automate ecommerce activities

Shopify rating: 3.3 ⭐(36 reviews)

Running an ecommerce business is a lot of work. One great way to free up time in your schedule is to list all the repetitive or mundane tasks you and your team are doing and automate them. Anything involving data transfers, synchronizing customer information, updating tags, etc., can and should be automated.

With Shopify Flow, you can set up rules to do this. For example, if you want to tag a customer as high value based on their purchase volume, you can set up a workflow like the one in the image.

That tag can also be passed on to your other apps, like Gorgias, so that it’s synchronized. To take it a step further, you can set up an automated ticket prioritization system in Gorgias based on tags so that the high-value customers get priority.

It may seem like a little thing but even if tagging a customer in different systems takes only a minute, when you multiply that by the number of sales coming through during BFCM you could potentially save hours.

And the time you save can be used to put out fires without feeling overwhelmed or dropping the ball.

Unique features

  • Trigger, condition, and action building blocks for creating workflows
  • Install pre-built workflow templates for popular use cases in just three clicks
  • Use time delays to ensure that workflows execute at the right moment

Pricing

  • Free plan available for customers on Shopify, Advanced, or Shopify Plus plan

How this app helps boost sales

Automating time-consuming ecommerce tasks won't directly boost your store's sales, but it will free up time for yourself and your team so that you have more time to focus on the activities that will actually grow your sales.

10) ShopMessage: Launch automated Facebook Messenger Campaigns

Shopify rating: 4.3 ⭐(129 reviews)

Chat apps and Facebook Messenger have become increasingly popular in recent times. Many retailers are now using Messenger to communicate directly with customers and promote products. Most of the time this is completely automated — but done tastefully.

How do you set this up? With ShopMessage, the Messenger marketing automation app for Shopify stores.

ShopMessage automatically creates conversations with customers based on their interactions with your store. If they add a product to the cart and then abandon it, they'll get a Messenger chat asking them to complete the purchase. Plus, they have analytics, so you can see how much revenue your campaigns generated!

Learn more about how ShopMessage integrates with Gorgias.

Unique features

  • List segmentation tools for segmenting your Facebook Messenger list
  • Use ShopMessage pop-ups for building your Facebook Messenger list
  • Leverage ShopMessage Flows to send automated Facebook messages triggered by various customer actions

Pricing

  • Paid plans start at $9/month

How this app helps boost sales

Facebook Messenger is an excellent marketing tool for ecommerce brands to utilize. With ShopMessage, you can grow and segment your Facebook Messenger list, then create targeted and automated Facebook Messenger campaigns promoting your store's products.

11) Smile.io: Create and manage a loyalty program

Shopify rating: 4.8 ⭐(4,844 reviews)

We've talked about creating personalized promotions and providing excellent support to turn customers into loyal fans. Loyalty is powerful because it means recurring sales rather than deal-hunters who only come by when you have a promotion.

There's another way to increase loyalty: creating rewards programs. With Smile.io, you can make your customers feel special by rewarding them for shopping at your store. You can assign points to each customer's action on your store. The more points a customer accumulates, the higher up they go in the VIP list. You can then offer incentives such as discounts and free products to VIP customers. Finally, you can reward them for referring new customers to you, generating even more revenue.

Learn more about how Smile.io integrates with Gorgias.

Unique features

  • Create referral programs that reward customers with points for desirable actions such as repeat purchases and referrals
  • Provide on-site nudges to remind customers when they have points available to spend
  • Search for customers by name and adjust their points manually

Pricing

  • Free plan available for customers on Shopify, Advanced, or Shopify Plus plan

How this app helps boost sales

Retaining more loyal customers is almost always a more viable strategy for ecommerce stores than constantly trying to attract new customers — especially today when customer acquisition costs are higher than ever before. 

With Smile.io, you can create and manage loyalty programs that reward your customers for sticking with your brand and making repeat purchases. You can even reward and encourage other sales-boosting activities, such as customer reviews and referrals.

12) Veeqo: Automated inventory management

Shopify rating: 4.1 ⭐(74 reviews)

Veeqo is an all-in-one ecommerce software that allows retailers to manage and automate their entire business. The software’s multichannel inventory management allows retailers to sync inventory across multiple stores, channels, ecommerce marketplaces, and warehouses in real time, ensuring that you never oversell again.

You can view, edit and print orders taking complete control with Veeqo’s order management software. With multichannel shipping and fulfillment capabilities, you can ship customer orders from any sales channel directly in Veeqo with just a few clicks. The software also includes a comprehensive warehouse management system with its own hardware.

Unique features

  • Automatically update stock across all stores
  • Use a scanner or your mobile device to pick, pack, and ship the right items quicker
  • Get detailed analytics and forecasting for improved inventory management

Pricing

  • Free plan available

How this app helps boost sales

For one, Veeqo eliminates time-consuming inventory and warehouse management tasks so that you and your team have more time to focus on the activities that will grow sales. 

But just as importantly, Veeqo also helps boost customer satisfaction by ensuring a smooth order fulfillment process and preventing oversells. This improves customer loyalty and encourages more repeat purchases.

13) Yotpo: Encourage customer reviews

Shopify rating: 4.7 ⭐(2,416 reviews

Ninety percent of customers will read online reviews before making a purchase. Put another way, a product in your competitor's store with a positive review will sell more than the same one on yours without a review.

Yotpo is a great app for collecting and managing product reviews for your Shopify store. When someone buys from you, Yotpo waits till they've received the product before sending them an email politely requesting a review. They make it extremely easy for customers to write a review, and that review automatically gets posted on the corresponding product page.

You can also add a Q&A widget to your site, like the one on Amazon. In general, this type of user-generated content not only increases conversions but also contributes to your search engine optimization (SEO).

Learn more about how Yotpo integrates with Gorgias.

Unique features

  • Provides customers with the ability to include photos and videos in their product reviews
  • Allows you to create custom questions for collecting targeted customer feedback
  • Enables you to display community questions and answers with a Q&A widget

Pricing

  • Free plan available for stores with fewer than 100 monthly orders
  • Paid plans start at $29/month

How this app helps boost sales

We've already discussed the value of the social proof that user-generated content and customer reviews can provide to improve customer confidence and boost sales. With Yotpo, you can collect a lot more of this invaluable content and display it strategically for maximum effect.

14) Recart: Launch automated SMS marketing campaigns

Shopify rating: 4.8 ⭐(5,508 reviews)

Everyone reads their text messages, making SMS marketing a lucrative marketing avenue for ecommerce brands to explore. With Recart, you can create, launch, and manage automated SMS marketing campaigns. These campaigns can be pre-scheduled or triggered via a wide variety of user actions.

Along with enabling you to create automated SMS marketing campaigns, Recart also helps you build your SMS list with customizable opt-in popups.

Learn more about how Recart integrates with Gorgias.

Unique features

  • Customizable popups for growing your SMS subscriber list
  • Automated SMS campaigns (based on a variety of triggers)
  • Template library with pre-built automations

Pricing

  • Paid plans start at $299/month

How this app helps boost sales

SMS marketing can be a lucrative strategy for ecommerce brands, and Recart provides everything you need to execute an effective SMS marketing strategy. By providing tools for building your SMS subscriber list and the ability to create a wide range of automated SMS marketing campaigns, Recart makes it easy to capitalize on this effective marketing approach.

15) LoyaltyLion: Create and manage loyalty programs

Shopify rating: 4.5 ⭐(422 reviews

LoyaltyLion is a program similar to Smile.io that allows you to create and manage loyalty programs to reward repeat customers with high lifetime value. With LoyaltyLion, your customers can earn points from on-site activities such as purchases, reviews, affiliate marketing, and referrals. These points can be vouchers, gift cards, free products, or other custom rewards you create.

Best of all, LoyaltyLion offers a built-in dashboard to track loyalty program analytics, such as customer retention and referrals in real time.

Learn more about how LoyaltyLion integrates with Gorgias.

Unique features

  • Automatically rewards enrolled customers with points for desirable actions
  • Provides real-time loyalty program analytics with built-in dashboard
  • Enables you to fully customize your loyalty program via CSS theme editor

Pricing

  • Free plan available
  • Paid plans start at $159/month

How this app helps boost sales

Like Smile.io, LoyaltyLion boosts sales by rewarding customers for repeat purchases and other desirable, sales-boosting actions such as reviews and referrals. 

Along with directly encouraging these desirable actions with reward points, LoyaltyLion helps you create a unique and enjoyable experience for your customers that will keep them coming back to your brand.

16) Attentive: Create personalized messages and notifications

Shopify rating: 4.9 ⭐(20 reviews)

Attentive is an app designed to help store owners grow their email and SMS subscriber lists and then send those subscribers personalized, interactive messages. With Attentive, you can create automated abandoned cart reminders, personalized product recommendations, and a wide range of other messages generated using Shopify data.

Along with helping you create automated, personalized SMS and email campaigns, Attentive also helps you grow these lists with tools for creating high-performing ADA-compliant sign-up units.

Learn more about how Attentive integrates with Gorgias.

Unique features

  • Automate revenue-generating moments with browse, shopping cart, and checkout abandonment reminders
  • Use Shopify data to send curated recommendations and order tracking updates
  • Leverage high-performing, ADA-compliant sign-up units for growing your subscriber lists

Pricing

  • Paid plan information available after free trial

How this app helps boost sales

SMS and email marketing are both all the more effective when they are personalized and targeted. By leveraging your existing Shopify data, Attentive can automatically launch targeted SMS and email campaigns that will boost your store's sales. Attentive also helps you grow your email and SMS lists so that you can make the most of these effective marketing channels.

17) Loyoly: Create a loyalty and referral program

Shopify rating: 5 ⭐(9 reviews)

Loyoly is a loyalty and referral platform 100% designed for ecommerce. Like Smile.io or LoyaltyLion, you can easily create and integrate points-based and tiered loyalty programs into your online store.

But Loyoly differentiates itself by offering the widest variety of point-earning actions to engage your customers.

Over 30 actions are available and can be added to your loyalty program in no time. As well as rewarding purchases and referrals, you can incentivize your customers to leave reviews, submit photo and video UGC, follow you on social media, like, comment or share your posts, and much more. 

All loyalty points can then be easily redeemed for pre-built or custom rewards.

Unique features

  • Create points-based or tiered loyalty programs
  • Add referral incentives to the loyalty program to increase brand word-of-mouth.
  • Customize the program's landing page to your image, as well as emails (via a strong integration with Klaviyo)

Pricing

  • 14-day free trial
  • Paid plans start at $49/month 

How this app helps boost sales

With its gamified customer experience and customizable interface, Loyoly boosts sales by encouraging new customers to make repeat purchases, increase their average basket and thus their lifetime value.

But Loyoly doesn't just build loyalty with your existing customers. It also helps you turn them into true brand ambassadors, who increase your message's reach and ultimately attract new customers.

Integrate your Shopify apps for maximum efficiency

Each of the apps we've covered in this article are powerful sales-boosting apps in their own right. But when you integrate your Shopify apps with one another, you unlock even more powerful new features and capabilities.

At Gorgias, we have designed our industry-leading customer support platform with plugins and integrations for many of the top ecommerce apps on the market today, enabling our customers to create a fully integrated tech stack with unmatched capabilities. 

Ready to start leveraging Gorgias' wide range of sales-boosting Shopify integrations? Sign up today!

Pre-Sales Support

Pre-Sales: Definition, Process, and the Role of Customer Support

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Pre-sales isn’t just a sales function. Support teams handle many of the most important conversations before a customer buys
  • Strong pre-sales support helps customers understand fit, limits, and policies early, which reduces refunds, repeat tickets, and frustration
  • Many pre-sales questions are repetitive and time-sensitive, making them good candidates for AI and automation backed by a clear source of truth
  • When support teams focus on clarity over conversion, customers make better decisions and long-term trust increases

Pre-sales is the work that happens before a customer commits. For customer experience teams, it shows up as pre-purchase questions, live chat conversations, and “will this work for me?” moments.

In many ecommerce journeys, support teams handle these conversations, not sales. Customers ask about product fit, shipping timelines, returns, and edge cases before buying. How support answers those questions determines whether customers buy with confidence or regret it later.

This guide looks at pre-sales through a customer support lens. It explains how support teams shape the pre-sales experience and why improving it leads to better outcomes for customers and support teams alike.

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What is pre-sales support?

Pre-sales refers to everything that happens before a customer hits “buy.” In traditional B2B sales, that’s lead qualification, discovery calls, and demos, usually handled by dedicated pre-sales teams or sales agents.

In ecommerce, pre-sales is the questions that pop up before checkout: 

  • Will this work for me? 
  • What's your return policy? 
  • Do you ship to Canada? 
  • Can I use this with my existing setup? 

These questions are then answered by your support team and any automation or AI tool you may have.

When you look more closely, pre-sales support helps customers feel more confident about purchasing your product. Your team answers questions, clears up confusion, and sets realistic expectations. 

The goal is to reduce uncertainty so customers know exactly what they're getting. Pre-sales shapes how customers see your brand from the very first interaction.

The difference between pre-sales and sales

Pre-sales and sales are often grouped together, but they serve different purposes. Pre-sales focuses on solution fit. Sales focuses on closing the deal.

In ecommerce, support teams handle most pre-sales questions. Customers need help understanding whether a product is right for them, and those questions rarely reach a sales team.

Here's how the roles break down.

Pre-sales

Sales

Focuses on solution fit and technical validation

Focuses on relationship building and closing

Answers “Will this work for my needs?”

Answers “Are we moving forward?”

Handles discovery, demos, and proof of concept

Handles pricing, contracts, and negotiation

Works closely with product and engineering

Works closely with customer success and finance

Why pre-sales support matters

Pre-sales shapes the support experience before a ticket ever gets created. When customers get clear answers before they buy, your team deals with fewer issues after.

For support and CX teams, pre-sales is the part of the funnel that prevents confusion, sets expectations, and removes hurdles down the road.

Qualified questions, not just qualified leads

Strong pre-sales support helps filter intent early. When customers ask questions before buying, they're looking for reassurance about fit, policies, or specific scenarios. Answer clearly, and they'll self-qualify. They either buy with confidence or realize it's not the right fit before turning into a high-effort ticket later.

Fewer surprises after purchase

Most post-purchase frustration comes from mismatched expectations. Pre-sales support helps by clarifying what the product does, what it doesn't, and what customers should actually expect. You end up with fewer “I didn't realize” tickets and less time spent in damage control mode.

Better customer experience from the start

Pre-sales is often the first real conversation a customer has with your brand. When you handle these moments well, customers feel helped instead of sold to. That trust sticks around through onboarding, day-to-day support, and beyond.

Fewer refunds and repeat contacts

Clear pre-sales conversations help customers make the right call the first time. That means fewer unnecessary returns, repeat tickets, and escalations. Your team spends less time undoing decisions and more time actually helping people.

The pre-sales support process

For support teams, the pre-sales process is the set of conversations that happen before a customer buys. It isn’t formal. It doesn’t live in a CRM stage. It happens in chat, email, and social messages when customers are deciding whether to move forward.

Pre-sales support is about helping customers make the right decision, even when that decision is not to buy.

1. Understand what the customer needs and what they’re trying to solve

Pre-sales support starts by understanding what the customer is looking for, the problems they’re trying to solve, and what prompted them to reach out. Customers may ask about a specific feature, but what they really want is reassurance that the product fits their needs.

When support takes the time to understand those needs, answers become more relevant and less transactional.

2. Explain what the product does and doesn’t do

Good pre-sales support explains what a product doesn’t do as clearly as what it does. This isn’t selling yourself short or pushing customers away. It’s being honest and giving customers the information they need to evaluate their needs against your product.

When customers understand the limits upfront, they’re less likely to feel misled later.

3. Answer policy questions before they become problems

Many pre-purchase questions are really about risk. Customers ask about shipping, returns, warranties, and support coverage to understand what happens if things don’t go as planned. Clear answers here reduce anxiety and prevent escalations after purchase.

4. Let customers self-select at their own pace

If the shoe doesn’t fit, the shoe doesn’t fit. Pre-sales support shouldn’t force customers who aren’t ready to buy into buying now. That approach leaves a bad taste and often turns into regret after purchase.

When support focuses only on the sale instead of the person, customers notice. They move on to competitors who take the time to understand their situation and respect their timing.

5. Capture patterns and improve the experience

Pre-sales questions reveal gaps in product messaging, help center content, and internal documentation. When support teams feed these insights back, they reduce repeat questions and improve the experience for future customers.

Common pre-sales questions support teams handle

Pre-sales support questions are usually practical, not persuasive. Customers aren’t asking to be sold to. They’re trying to decide if buying is a good idea.

These are the most common types of pre-sales questions support teams handle.

Product fit and use:

  • Will this work for my specific use case?
  • What’s the difference between these two options?
  • Is this compatible with what I already use?
  • Can I use this if my setup is slightly different?

Policies and risk:

  • What happens if I need to return it?
  • Is there a warranty or guarantee?
  • How does your return policy actually work?
  • What support do I get after I buy?

Shipping and timing:

  • When will this arrive if I order today?
  • Do you ship to my location?
  • What happens if it arrives late or damaged?
  • Are there cutoffs I should know about?

Pricing and value:

  • What’s included in the price?
  • Are there extra fees I should expect?
  • Is there a cheaper option that would still work for me?
  • Do you offer discounts or bundles?

Readiness and decision-making:

  • Is this right for me right now?
  • Should I wait before buying?
  • What do most customers like me do?
  • What’s the biggest reason this doesn’t work for some people?

Handle these questions well, and they’ll help customers move forward. Handle them poorly, and they turn into refunds and frustration.

How support teams can improve the pre-sales experience

Improving pre-sales support isn’t about training agents to sell. It’s about giving them the tools, context, and permission to be honest and helpful before a customer buys.

When support teams do this well, customers make better decisions and support work gets easier later.

Build answers around real customer questions

Pre-sales support should be grounded in what customers actually ask, not what your team assumes they need. Review pre-purchase conversations regularly and look out for patterns. These questions should shape help center articles, macros, and, if you have one, guidance instructions for your AI tool.

If customers keep asking the same thing, the answer shouldn’t live only in chat.

Communicate clearly

Fast responses matter, but clear ones matter more. Pre-sales support should focus on explaining fit, limits, and expectations in plain language. Avoid overloading customers with features. Focus on whether the product solves their problem. Clarity reduces hesitation and prevents disappointment after purchase.

Use automation and AI for high-volume pre-sales questions

Pre-sales questions are often some of the best candidates for AI because they result in the same answer, no matter who’s asking. Shipping timelines, return policies, pricing, and compatibility checks don’t always require a human response. Scaling brands use automation and AI to answer these questions instantly.

AI tools like Gorgias AI Agent can handle common pre-sales questions using your Help Center, policies, and product data. This gives customers immediate answers while freeing your team to focus on more challenging conversations that require nuanced problem-solving.

Share context across channels

Customers often move between browsing, chat, email, and social. Support teams need visibility into past conversations and behavior so customers don’t have to repeat themselves. Context leads to better answers and smoother experiences.

This is especially important in pre-sales, where customers are still deciding whether to trust you.

Read more: How to implement an omnichannel customer service strategy

Turn pre-sales questions into improvements

Pre-sales conversations reveal gaps in your product descriptions, policies, and documentation. Feeding this back to product, marketing, and content teams improves the experience for everyone. Pre-sales support gets better when it’s treated as a feedback loop, not a one-off interaction.

Tools that help support teams handle pre-sales questions

Pre-sales support works best when tools help teams answer questions quickly, consistently, and with context. The goal isn’t more software. It’s fewer gaps between what customers ask and how easily support can respond.

A centralized customer support platform

A customer support platform, often referred to as a helpdesk, is the foundation of pre-sales support. Modern helpdesks do more than manage tickets. They centralize conversations across chat, email, social, and messaging apps, while keeping customer context intact.

This matters in pre-sales because customers often ask questions across multiple channels before buying. A single platform helps teams respond consistently and spot patterns in pre-purchase questions. Many growing brands now look for helpdesks with built-in AI and automation. 

Read more: Best AI helpdesk tools: 10 platforms compared

A searchable help center

Many pre-sales questions don’t need a live response if the information is easy to find. A searchable help center allows customers to self-serve answers around product details, policies, and common concerns before reaching out.

For support teams, this reduces repetitive tickets and creates a shared source of truth for agents and AI. Improving visibility and engagement is key. 

This guide breaks down how brands are boosting Help Center usage.

AI and automation for instant answers

Pre-sales questions are often time-sensitive. Customers want answers before they lose momentum. AI and automation help support teams respond immediately to common questions around shipping, returns, pricing, and product basics.

Tools like AI Agent use your existing help center, policies, and product data to answer these questions accurately. This lets teams scale pre-sales support while keeping responses consistent and on-brand.

Shared customer context

Pre-sales support improves when agents can see what customers have viewed, asked, or interacted with before reaching out. Browsing behavior, previous conversations, and account details help agents give better answers faster.

Context matters most before purchase, when customers are still deciding whether to trust you.

Internal documentation and guidance

Support teams need clear internal guidance for pre-sales scenarios. This includes what can be promised, what should be escalated, and how to explain limitations consistently.

Strong internal documentation keeps pre-sales support aligned and prevents mixed messages across channels.

Handle pre-sales questions without becoming a sales team

Pre-sales questions don't disappear after someone buys. How your team handles them sets the tone for onboarding, ongoing support, and whether customers stick around.

Gorgias helps support teams manage pre-sales and post-purchase conversations in one place. With shared customer context, a searchable help center, and AI-powered answers through AI Agent, your team can respond faster, stay consistent, and help customers buy with confidence.

Want to improve your pre-sales support without turning your agents into salespeople? Book a demo now.

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Live Chat Support Metrics

Live Chat Metrics: 14 KPIs Every Ecommerce Brand Should Track

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Live chat metrics measure speed, efficiency, satisfaction, volume, and business impact across your support operation
  • First response time and resolution time are the most tracked speed metrics, with industry benchmarks under 90 seconds and 10 minutes respectively
  • AI-powered chatbots can deflect 40-60% of repetitive inquiries when measured through containment rate
  • Tracking CSAT and customer effort score together gives you a complete picture of the customer experience

Your support team is handling hundreds of chats per week, but you have no idea if customers are satisfied, agents are overwhelmed, or conversations are driving sales. 

Live chat metrics give you that visibility. These KPIs measure how fast your team responds, how efficiently they resolve issues, and how those conversations impact revenue. Without them, you lack visibility into staffing decisions, training priorities, and customer satisfaction. 

In this guide, we'll walk through the 14 most important live chat metrics for ecommerce brands, why they matter, and how to improve them with the right tools.

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What are live chat metrics and why they matter for ecommerce

Live chat metrics show how well your support team performs, how efficiently they handle volume, and how chat impacts the business. They help you identify slowdowns, quality issues, and missed opportunities in customer conversations.

Not all metrics are equally useful. Vanity metrics like total chat volume describe activity. Actionable KPIs like first response time or resolution rate tell you what to fix and where to invest.

For ecommerce brands, these metrics matter more than in most industries. Chat volume spikes during BFCM, launches, and promos. You need to respond fast without sacrificing quality. And unlike email or phone, live chat often sits directly on the path to purchase.

When you don’t track live chat metrics, decisions rely on gut instinct. Staffing guesses replace planning. Coaching becomes reactive. Proving ROI gets harder. The right metrics help you staff smarter, coach better, reduce costs, and tie chat conversations to revenue.

Live chat metrics generally fall into a few core categories, which we’ll break down throughout this guide.

The core categories of live chat metrics

Live chat metrics measure different parts of your support operation, and you need a mix of them to understand performance clearly.

Speed and time-based metrics show how quickly your team responds and resolves chats, setting the baseline for customer expectations.

Efficiency and quality metrics reveal whether issues are solved correctly the first time, not just quickly.

Volume and coverage metrics help you understand chat demand and whether your team has enough capacity during peak periods.

Satisfaction and experience metrics measure how customers feel after a chat and how easy it was to get help.

Automation and AI metrics track how often chatbots resolve conversations without human involvement, freeing agents for complex issues.

Revenue and growth metrics connect chat conversations to conversions and sales, helping you prove ROI.

Next, we’ll break down each category and the specific metrics to track.

Speed and time-based live chat metrics

Speed matters in live chat more than any other support channel. Customers initiate a chat because they want immediate help. If they were willing to wait, they'd send an email. Time-based metrics reveal whether you're meeting their expectations for instant responses and quick resolutions.

First response time (FRT): How fast you reply to a new conversation

What it measures:

The time between when a customer starts a chat and when an agent sends the first reply.

Why it matters:

This first moment sets the tone for the entire interaction and strongly affects whether shoppers stay engaged or leave.

Benchmark:

Top ecommerce teams respond in under 40 seconds.

Formula:

First response time = time of first agent message − time chat started

How to improve it:

  • Staff peak hours based on historical chat volume
  • Use chatbots for instant greetings and routing
  • Set skill-based routing to avoid queue bottlenecks
  • Allow limited concurrent chats during high-volume periods

Tip: Track median FRT instead of averages to avoid outliers skewing results.

Average response time: How fast you reply throughout the conversation

What it measures:

The average time it takes an agent to reply to each message after the first response.

Why it matters:

Customers expect steady speed throughout the chat, not fast greetings followed by long pauses.

Benchmark:

High-performing teams keep average response times under 2 minutes.

Formula:

Average response time = total agent reply time ÷ number of agent responses

How to improve it:

  • Use saved replies for common questions
  • Keep Help Center content searchable inside chat
  • Reduce concurrent chats for complex issues

Average resolution time (ART): How long it takes to fully solve issues

What it measures:

The total time from chat start to issue resolution and chat closure.

Why it matters:

Fast replies mean little if the issue takes too long to solve.

Benchmark:

Simple issues should be resolved in under 10 minutes. For complex issues, aim for under an hour.

Formula:

Resolution time = chat close time − chat start time

How to improve it:

  • Create step-by-step troubleshooting templates
  • Give agents authority to handle refunds and order edits
  • Use AI to surface relevant Help Center articles
  • Route chats by issue type to reduce handoffs

How speed metrics work together

Speed metrics only tell the full story when viewed together.

For example, a team might hit a 45-second first response time, but if average response time stretches to five minutes and resolution takes 25 minutes, customers still experience friction. The chat starts fast, then slows down.

In practice, use first response time to gauge engagement, average response time to spot agent overload, and resolution time to identify process or tooling gaps. Looking at them together shows where speed breaks down.

Efficiency and quality live chat metrics

Speed gets customers in the door. Efficiency and quality determine whether their issue is actually solved. These metrics show whether chats are resolved fully, handled by the right person, and completed without unnecessary effort.

First contact resolution rate (FCR): How fast you solve issues on the first interaction

What it measures:

The percentage of chats resolved in a single interaction without follow-ups or escalation.

Why it matters:

High FCR lowers repeat contacts, reduces support costs, and increases customer satisfaction.

Benchmark:

70%+ is standard, while 80%+ is considered excellent for ecommerce support.

Formula:
FCR = (chats resolved on first contact ÷ total chats) × 100

How to improve it:

  • Train agents deeply on products, policies, and common issues
  • Use complete Macros that answer the full question, not part of it
  • Collect context upfront with pre-chat forms
  • Empower agents to process refunds, cancellations, and changes without escalation

Average chat duration: How long conversations take from start to finish

What it measures:

The total time from when a chat starts to when it’s closed.

Why it matters:

Chats should be efficient but thorough. Shorter isn’t better if issues aren’t fully resolved.

Benchmark:

Most ecommerce chats fall between 10-13 minutes, depending on complexity.

Formula:

Average chat duration = total chat time ÷ number of chats

How to improve it:

  • Use Macros to reduce typing time
  • Train agents to ask clarifying questions early
  • Remove unnecessary verification steps
  • Match complex issues with focused agents

Tip: Review chat duration alongside FCR and CSAT to ensure speed doesn’t hurt quality.

Transfer rate: How often chats are escalated

What it measures:

The percentage of chats handed off between agents or escalated from bots to humans.

Why it matters:

Each transfer adds wait time and forces customers to repeat themselves.

Benchmark:

Under 10% is ideal for most ecommerce teams.

Formula:

Transfer rate = (transferred chats ÷ total chats) × 100

How to reduce it:

  • Use skill-based routing from the start
  • Cross-train agents on common issues
  • Route chats using pre-chat issue selection
  • Give agents the tools and permissions to resolve issues independently

How efficiency and quality metrics work together

Start with FCR. It tells you whether problems are actually solved.

If FCR is strong but chat duration keeps climbing, agents may lack tools or permissions. If duration is short but transfer rate is high, chats are moving fast but landing with the wrong person.

Reading these metrics side by side helps you see whether your team is being efficient, effective, or just busy.

Volume and coverage live chat metrics

Volume and coverage metrics show whether you’re staffed to meet demand. They help you plan schedules, avoid missed chats, and balance agent workload without hurting quality.

Chat volume: How often customers reach out to your support team

What it measures:

The total number of chat conversations started in a given time period.

Why it matters:

Chat volume reveals demand patterns and helps you staff proactively instead of reacting when queues spike.

Benchmark:

There’s no universal benchmark, but ecommerce teams should expect predictable spikes around promos, launches, and BFCM.

Formula:

Chat volume = total chats initiated in a time period

How to manage it:

  • Segment volume by hour, day, and inquiry type
  • Prepare staffing for known peak events
  • Deflect repetitive questions with AI and self-service
  • Set clear chat availability if 24/7 coverage isn’t realistic

Missed chat rate: How often chats are left unanswered

What it measures:

The percentage of chat requests that don’t receive a response.

Why it matters:

Every missed chat is a missed chance to resolve an issue or convert a shopper.

Benchmark:

Under 5% is good, while under 3% is excellent.

Formula:

Missed chat rate = (missed chats ÷ total chat requests) × 100

How to reduce it:

  • Staff peak hours based on historical volume
  • Use chatbots for overflow and off-hours coverage
  • Cap concurrent chats to avoid agent overload
  • Switch chat to offline when no agents are available

Chats per agent: The average workload of each agent

What it measures:

The average number of chats handled by each agent in a given period.

Why it matters:

This metric helps balance productivity with quality and prevent burnout.

Benchmark:

30–50 chats per agent per day is typical for ecommerce, depending on complexity.

Formula:

Chats per agent = total chats handled ÷ number of agents

How to optimize it:

  • Enable limited concurrent chats
  • Use Macros to reduce response time
  • Offload simple questions to automation
  • Cross-train agents to handle multiple inquiry types

How volume and coverage metrics work together

If volume rises but missed chats stay low, staffing is working. If missed chats spike, check chats per agent. High workloads usually mean agents are stretched too thin, even if headcount hasn’t changed.

Viewed together, these metrics show whether you have a demand problem, a coverage problem, or both.

Satisfaction and experience live chat metrics

Operational metrics show how chat performs. Satisfaction metrics show how it feels to customers. These are the strongest predictors of loyalty, repeat purchases, and long-term value.

Customer satisfaction (CSAT) score: How customers rate the chat experience

What it measures:

How satisfied customers are with their chat experience, usually collected via a post-chat survey.

Why it matters:

CSAT reflects whether customers felt helped, heard, and resolved.

Benchmark:

Most ecommerce brands have a 4.6 CSAT. 

Formula:

CSAT = (number of satisfied responses ÷ total responses) × 100

How to improve it:

  • Reduce response and resolution times
  • Coach agents on empathy and tone
  • Prioritize first contact resolution
  • Empower agents to resolve issues fully
  • Follow up on low scores to identify gaps

Customer effort score: How easy it was to get help

What it measures:

How easy it was for customers to get their issue resolved.

Why it matters:

Low-effort experiences are more predictive of loyalty than delight.

Benchmark:

Aim for 5+ on a 7-point scale.

Formula:

CES = % of “easy” responses (6–7) − % of “difficult” responses (1–2)

How to reduce effort:

  • Show agents full customer and order context
  • Reduce transfers and handoffs
  • Collect context upfront with pre-chat forms
  • Empower agents to resolve issues without escalation

Read more: Customer delight is a losing strategy in ecommerce: Here's what's better

How satisfaction metrics work together

CSAT tells you how customers felt. CES explains why.

If CSAT drops and CES is low, the experience likely involved long waits, transfers, or repeated questions. When both are strong, customers feel helped without friction, even if the issue wasn’t perfect.

Automation and AI live chat metrics

Automation only works if it helps customers. These metrics show whether AI is reducing workload without hurting the experience.

Chatbot deflection rate: How often AI resolves without a handoff

What it measures:

The percentage of AI-handled chats resolved without a human handoff.

Why it matters:

High deflection lowers cost per resolution and provides true 24/7 coverage.

Benchmark:

40–60% is typical for well-trained AI, while 70%+ is best-in-class for repetitive inquiries.

Formula:

Deflection rate = (chats resolved by AI ÷ total AI-handled chats) × 100

How to improve it:

  • Train AI on your most common questions
  • Connect AI to order and return data
  • Review failed handoffs and refine responses
  • Allow easy escalation to a human
  • Track bot CSAT alongside deflection rate

Important: A high deflection rate only matters if customers are satisfied. Always measure AI CSAT separately from human CSAT.

How automation metrics work together

Deflection rate shows efficiency. Bot CSAT confirms quality.

If deflection rises but CSAT drops, automation is creating friction. When both increase together, AI is reducing volume while maintaining a good experience.

Revenue and growth live chat metrics

Live chat can influence revenue, not just resolve issues. These metrics show whether conversations help customers buy and how support contributes to growth.

Conversion rate from chat: How conversations drive sales

What it measures:

The percentage of chat conversations that lead to a purchase within a defined attribution window, usually 24–48 hours.

Why it matters:

Chat often captures shoppers in the consideration phase, when a small question stands between them and a purchase.

Benchmark:

Conversion rates typically fall at 4.7%, with the top brands at 13%. 

Formula:

Chat conversion rate = (purchases attributed to chat ÷ total chats) × 100

How to improve it:

  • Train agents on product knowledge and recommendations
  • Enable agents to offer targeted incentives when appropriate
  • Use proactive chat for high-intent shoppers
  • Share product links, images, and comparisons directly in chat

Tip: Segment conversion by conversation type. Pre-purchase chats usually convert at higher rates than post-purchase support.

📚 Read more: Customer service ROI: How to measure and improve value

Revenue per chat: How much revenue is tied to each conversation

What it measures:

The average revenue generated from each chat conversation.

Why it matters:

This metric turns chat performance into a dollar value leadership can evaluate.

Benchmark:

There’s no universal standard, but revenue per chat should trend upward as chat conversion improves.

Formula:

Revenue per chat = total revenue attributed to chat ÷ total chats

How to improve it:

  • Focus proactive chat on high-value products
  • Pair recommendations with real-time context
  • Review top-performing conversations to refine playbooks

How revenue and growth metrics work together

Conversion rate indicates whether chat influences purchase decisions, while revenue per chat indicates the value of those conversations. 

A high conversion rate with low revenue often means chat is closing low-value orders, while high revenue with low conversion can signal chat is engaging too late in the journey. When both rise together, live chat clearly contributes to growth, not just support volume.

Operational insights that improve live chat performance

Beyond the core performance metrics, there are operational insights that help you understand why your metrics look the way they do and what specific actions you can take to improve them.

Contact reasons and themes

What it is:

A structured way to group chats by why customers reach out, such as order tracking, sizing questions, returns, or complaints.

Why it matters:

Recurring contact reasons often point to unclear policies, missing information, or product friction that support alone can’t fix.

How to use it:

  • Review top contact themes regularly to spot trends
  • Improve product pages, FAQs, or policies based on recurring questions
  • Route chats to specialized agents based on topic

Voice of the customer (VOC)

What it is:

The language customers use in live chat to describe problems, objections, and feedback.

Why it matters:

This language reflects real customer concerns and often surfaces issues before they appear in conversion or retention data.

How to use it:

  • Share common objections with marketing and product teams
  • Mirror customer language in ads, emails, and on-site messaging
  • Use complaints and compliments to guide prioritization

Insight: Forrester found that customer-obsessed companies grow revenue 41% faster than competitors by acting on customer feedback.

Behavioral patterns in conversations

What it is:

How customers behave during chats, including repeat questions, long pauses, or multiple handoffs.

Why it matters:

Behavioral friction often signals missing context, unclear processes, or tooling limitations.

How to use it:

  • Review chats with repeated follow-ups or escalations
  • Identify where customers get stuck or confused
  • Fix upstream issues rather than coaching agents on symptoms

Cross-team insight sharing

What it is:

Using live chat insights outside of the CX team to inform marketing, product, and operations.

Why it matters:

Many support contacts are preventable when insights are shared early and acted on collaboratively.

How to use it:

  • Sync regularly with marketing on objections and questions
  • Flag operational issues like shipping or fulfillment delays
  • Use insights to guide automation and self-service priorities

How operational insights work together

Consider a team seeing a rise in live chats about returns.

Contact reasons show that most chats are tagged “returns” and “exchange.” Conversation reviews reveal customers repeatedly asking about eligibility and timelines. Voice of the customer shows frustration with unclear wording on the returns page.

Taken together, the fix isn’t faster replies. It’s clearer return messaging, better Help Center content, and proactive chat prompts that answer the question before customers ask.

Start improving your live chat metrics with Gorgias

Tracking the right live chat metrics helps you understand what’s working, what’s breaking, and where chat drives real business impact. When speed, efficiency, satisfaction, and revenue are measured together, live chat becomes easier to manage and easier to justify.

Gorgias brings these insights into one place. You can track performance in real time, understand customer intent, and use automation to handle routine questions while agents focus on higher-value conversations.

Want to see how it works? Book a demo to explore how ecommerce teams use Gorgias to improve live chat performance and drive growth.

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Best Magento Extensions

19 Best Magento Extensions for Your Business

By Ryan Baum
15 min read.
0 min read . By Ryan Baum

From providing you with powerful marketing tools to automating time-consuming processes that are clogging up your schedule, choosing the right extensions to integrate into your Magento store can offer a wide range of benefits. 

If you already use Magento (also called Adobe Commerce), you’re probably familiar with Magento Extensions and how they work. If you’re currently considering Magento, consider taking a look at our comparison post of Magento and Shopify, another leading ecommerce platform. 

Let's take a look at the top 19 best Magento extensions available today, including their standout features and common user reviews.  

What Magento extensions are and how they work

Unlike plug-n-play ecommerce platforms such as Shopify and BigCommerce, Magento does not come equipped with many pre-built solutions for marketing, sales, customer support, and inventory management. Fortunately, Magento and Magento 2 do offer a large number of downloadable extensions available on the Magento Marketplace. 

These Magento extensions offer many powerful benefits, spanning from:

Take a look at our list to improve the user experience on your online store and ultimately help you generate more sales.

Best Magento extensions for marketing

Creating effective marketing campaigns for your online products isn't always a straightforward task. 

By providing a range of marketing capabilities and automating much of the campaign creation process, these Magento extensions for marketing can go a long way toward making your marketing efforts more profitable.

1) Klaviyo

Klaviyo is an email marketing solution that provides several convenient tools designed to improve the results of your email campaigns. The tool also makes the process of managing those campaigns more efficient. 

With Klaviyo, you can look forward to tools such as automated email and SMS marketing flows, list segmentation tools, and a user-friendly dashboard that provides an abundance of helpful analytics and insights about your email marketing campaigns.

Unique features

  • Includes a number of triggers such as cart abandonment triggers, price drop triggers, and back-in-stock triggers for automatically launching email flows
  • Provides a wide variety of customizable email templates
  • Powerful segmentation filters for segmenting your email and SMS lists

What users think of this app

  • User-friendly and easy to set up
  • A wide selection of pre-built triggers to choose from
  • A capable email builder that makes it easy to create branded emails

Use Gorgias? Take a look at how Klaviyo integrates with Gorgias. 

2) Yotpo

Yotpo is an ecommerce marketing platform that provides Magento store owners with unified, data-driven solutions for SMS marketing, loyalty and referrals, reviews, and more.

With Yotpo, you can create custom loyalty programs, send high-converting text messages shoppers actually want to read, and collect authentic customer feedback — all in one place.

Unique features

  • A library of SMS flows and campaign templates paired with powerful segmentation capabilities 
  • Enriched data across all Yotpo products, granular performance metrics, and customer-level insights
  • The ability to use SMS to send mobile-optimized review requests or notify loyal customers about their VIP status and reward points

What users think of this app

  • Provides plenty of features for managing loyalty and referral programs
  • Useful segmentation and targeting features
  • Review request templates and flows lead to a boost in product reviews

Use Gorgias? Take a look at how Yotpo integrates with Gorgias.

3) Magento 2 Instagram Connect

With roughly a billion monthly active users, Instagram is a social media platform that offers a wealth of marketing opportunities. 

The Magento 2 Instagram Connect extension allows store owners to automatically sync products from their Magento store to their Instagram account and provides a number of other Instagram marketing tools and features such as CTA buttons for Instagram photos and an Instagram widget that lets you display your Instagram feed on your website.

Unique features

  • Allows you to add a CTA button that appears when someone hovers over one of your Instagram photos
  • A performance report to showcase which photos are generating the most orders
  • The ability to fetch photos using hashtags from Instagram to your Magento 2 store

What users think of this app

  • Great for improving the visual appeal of a Magento store
  • Plenty of customization options
  • Data from the performance report is very helpful for optimizing Instagram marketing campaigns

4) MageWorx SEO Suite Ultimate

Boosting organic traffic with great SEO is one of the most reliable long-term ecommerce marketing strategies. With MageWorx SEO Suite Ultimate, store owners are able to access numerous SEO tools and features, including XML & HTML sitemaps, automatic cross-linking, advanced rich snippets, layered navigation, and many more.

Unique features

  • Built-in SEO reports allow you to detect and resolve SEO issues
  • Canonical URLs to eliminate duplicate content
  • Extended breadcrumbs provide enhanced on-site navigation

What users think of this app

  • Product SEO templates are great for optimizing the metadata of product listings
  • Compatible with both Magento 2 Venia PWA theme and Hyva theme
  • Automatic redirects easily eliminate 404 errors

📚 Recommended reading: Our guide to ecommerce SEO for beginners.

Best Magento extensions for sales

In 2020, ecommerce sales accounted for 14% of all retail sales, up 9.5% compared to 2011. If you would like to take a large bite out of this ever-growing ecommerce pie, here are three feature-rich Magento sales extensions worth checking out.

5) CedCommerce HubSpot Integration

CedCommerce HubSpot Integration is an app that allows you to sync your Magento store with HubSpot, providing tools such as marketing automation workflows, a camping ROI tracker, and abandoned cart recovery tools.

Unique features

  • Syncs data between HubSpot and Magento in a single click
  • Sends out automated reminder emails to customers who have abandoned their cart
  • Provides a variety of automated marketing flows based on RFM segmentation

What users think of this app

  • Saves time integrating customer data from a Magento store to Hubspot
  • Provides a convenient dashboard for managing marketing and sales from a single platform
  • Great list segmentation features

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6) Magenest Zoho CRM Extension

Zoho CRM is a CRM service designed to help ecommerce store owners store and segment customer data in order to better target their marketing campaigns and see upselling and cross-selling opportunities. 

With Magenest Zoho CRM Extension, you can automatically sync data straight from your Magento store to your CRM, putting the capabilities of Zoho CRM at your fingertips without the need to spend hours syncing data manually.

Unique features

  • Can automatically sync customer data, promotion data, product data, and more from Magento 2 stores to Zoho CRM in real time
  • Lets you control how often data syncs to avoid straining your server
  • Has a no-code setup experience thanks to the API-based connector 

What users think of this app

  • Open source and customizable
  • Easy to set up and use
  • Great customer support

7) Magediary Product Scheduler

Magediary Product Scheduler is an extension that offers useful countdown timer widgets such as product launch timers and promotional timers. This extension also allows you to send automated email notifications to customers who subscribe for scheduled products.

Unique features

  • Provides email notification templates for letting customers know about new product launches and promotions
  • Allows you to create both "coming soon" and "ends soon" countdown timers
  • Allows customers to sign up to be notified when a product is back in stock

What users think of this app

  • Email notification templates and countdown timer widgets are both highly customizable
  • Countdown timers boost conversion rates during promotions
  • Responsive customer support

Best Magento extensions for customer support

According to data from Invesp, investing in new customers is between 5-25 times more expensive than retaining existing customers. By helping you provide exceptional customer support, these customer support Magento extensions will help you keep your retention rates as high as possible while at the same time minimizing your customer support team's workload.

8) Gorgias

Gorgias is a customer support platform that provides everything you need to improve the quality of your customer service while also reducing the burden of your customer support team. 

With Gorgias, Magento store owners are able to access powerful tools and features such as live chat support, a centralized dashboard for support agents to work from, self-service options for reducing support ticket volume, and a wide range of Rules and Macros for automating tasks such as ticket generation and prioritization. If you are looking for an all-in-one solution to customer support, be sure to check out Gorgias today.

Unique features

  • Fast-loading live chat widgets that won't slow down your website
  • Allows support agents to manage customer support tickets from a single, convenient dashboard
  • Capable of automating a wide variety of tedious customer support tasks

What users think of this app

  • Automation features allow store owners to reduce the size of their customer support staff
  • Great for prioritizing customer inquiries to ensure that the most important inquiries receive the fastest possible response
  • Great for revenue generation from conversions and long-term loyalty

9) Sparsh Technologies WhatsApp Chat

With 1.6 billion users across the globe, WhatsApp is by far the most popular messaging app in the world today. The WhatsApp Chat extension by Sparsh Technologies allows Magento store owners to create a customizable plug-in that lets customers contact the store's support team via WhatsApp directly from the website. Best of all, this extension is completely free to download and use.

Unique features

  • Admin is able to change the default WhatsApp mobile number and push message from backend
  • Customizable contact button
  • Free to download and use

What users think of this app

  • Easy to set up and use
  • Store owners can enable and disable the plug-in with a single click
  • Plenty of customization options

10) Amnesty FAQ and Product Questions

One of the best ways to reduce your customer support ticket volume is to provide customers with plenty of resources for finding the answers to common issues on their own. With the Amnesty FAQ and Product Questions extension, you can easily create FAQ pages and product questions designed to provide customers the answers they need without them having to contact your customer support team.

Unique features

  • FAQ pages are SEO-optimized
  • Built-in GDPR consent, reCaptcha, and Search Terms Report functionality
  • Social sharing buttons and product question ratings for encouraging audience involvement

What users think of this app

  • Plenty of customization options
  • FAQ widgets and tabs provide customers with convenient access to self-service resources
  • Provides valuable insights about the questions that customers are asking most commonly

Best Magento extensions for payment & security

Making it as easy as possible for customers to pay for their purchases is a vital objective if you want to optimize the conversion rate of your ecommerce website. With Magento extensions for payment and security, you can provide your customers with convenient payment options while also ensuring that their sensitive financial data is kept secure.

11) PowerSync mPower Subscriptions & Recurring Payments

The mPower Subscription and Recurring Payments extension by PowerSync is a solution that makes it easy for Magento store owners to create a recurring revenue business model. 

With this extension, you are able to create and manage subscriptions for your products and easily accept recurring payments from customers who sign up for a subscription.

Unique features

  • Makes it easy to manage subscriptions from a single dashboard
  • Allows you to create custom billing frequencies
  • Automates subscription renewals and recurring charges

What users think of this app

  • Unlimited customization options
  • Provides a simple checkout experience for both normal and recurring orders
  • Sends out helpful automated notifications to both customers and merchants

12) Stripe Payments

Stripe Payments is one of the most popular payment processing solutions for ecommerce store owners. 

With Stripe Payments, merchants are able to provide customers with convenient and secure payment options that support almost every currency and payment method in existence today.

Unique features

  • Supports 135+ currencies and payment methods
  • Provides checkout flows for optimizing the checkout experience on your website
  • Promises 99.99%+ uptime

What users think of this app

  • Great for detecting and preventing fraudulent payments
  • Frequently updated with new features
  • Makes it easy to issue both virtual and physical gift cards

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📚 Recommended reading: Our guide to ecommerce payment processing.

13) Aheadworks Smart One Step Checkout

Streamlining the checkout process as much as possible is a vital goal for merchants that want to reduce their abandoned cart rate. With Smart One Step Checkout from Aheadworks, store owners are able to provide customers with an Amazon-like, one-click checkout experience by easily adding or removing predefined fields on the checkout page.

Unique features

  • Allows you to track the conversion rate and performance of each checkout field
  • Makes it easy to edit every aspect of Magento's default checkout process
  • Supports a wide range of payment methods

What users think of this app

  • Insightful built-in reports for highlighting checkout process bottlenecks
  • Also available for Magento 1 stores
  • Automated address suggestion further speeds up the checkout process

Best Magento extensions for shipping & fulfillment

According to data from eFulfillment Service, the average cost to fulfill an order for online retailers is 70% of the order value. 

In order to keep your shipping and fulfillment costs as low as possible while also providing a great customer experience, it is essential to create an optimized shipping and fulfillment process, which is something that these Magento extensions for shipping and fulfillment are sure to help with.

14) ShipStation

ShipStation is an extension that provides a number of tools and features designed to help store owners streamline their order fulfillment process, including the ability to:

  • Import orders from multiple stores and channels
  • Perform bulk updates 
  • Automation processes for quickly processing and fulfilling orders
  • Compare rates across carriers and print shipping labels
  • Send customers automated shipping updates

Unique features

  • Capable of connecting with multiple platforms/marketplaces
  • Makes it easy to set up shipping rules to automate your order fulfillment process
  • Offers an inventory management dashboard for viewing stock levels, allocating stock, and setting inventory alerts

What users think of this app

  • Makes it easy to combine multiple orders into a single shipment
  • User-friendly and easy to set up
  • Automations make creating shipping rules far less time-consuming

Use Gorgias? See how we integrate with ShipStation. 

15) Amasty Pre Order

Having products go out of stock is something that can often lead to lost business. With Amasty Pre Order, though, merchants can enable customers to easily pre-order products that are out-of-stock or products that have yet to be released.

Unique features

  • Customizable pre-order buttons and notes
  • Module is read-compatible with GraphQL
  • Enables pre-order functionality for all types of products

What users think of this app

  • Provides valuable insights on customer preferences and product demand for improved inventory management
  • Allows you to set discounts on pre-order products via rules
  • Fully-optimized for mobile devices

Best Magento extensions for data & reporting

Quality data is the fuel that powers successful ecommerce stores. With these Magento extensions for data and reporting, you can leverage a variety of tools for collecting and analyzing customer data, providing you with the insights you need to optimize the customer experience on your online store.

16) WeltPixel Google Analytics Enhanced Ecommerce

WeltPixel Google Analytics Enhanced Ecommerce is a solution that automatically syncs data from your Magento store to your Google Analytics account, allowing you to easily track and analyze an incredibly wide range of data regarding your customers and website visitors.

Unique features

  • Google Ads conversion tracking
  • Provides data on product impressions and product clicks based on a variety of criteria
  • Tracks stock status, product review count, product review status, and much more

What users think of this app

  • The free version of the extension includes an impressive offering of features
  • Full-page cache and varnish cache ready
  • Paid version includes one-minute installation GUI and one month of free support

17) Mopinion Feedback Surveys

Customer surveys are one of the most effective tools for gathering zero-party customer data. With Mopinion Feedback Surveys, you are able to embed customizable survey forms on your Magento website. Mopinion Feedback Surveys also allows you to create email surveys and app-based mobile surveys as well.

Unique features

  • Allows you to integrate feedback forms into your email campaigns
  • Provides a variety of customizable feedback form templates
  • Easy-to-install SDKs for iOS and Android allow you to integrate feedback forms into your native mobile apps

What users think of this app

  • Feedback form templates offer a broad range of customization options
  • Easy to set up and use
  • Lots of useful integrations

Best Magento extensions for finance & accounting

Keeping up with the finances and accounting for your ecommerce store can often be a complex and time-consuming process. Thankfully, these Magento extensions for finance and accounting provide plenty of helpful tools for keeping you organized and automating a lot of tedious accounting tasks.

18) Magenest QuickBooks Online

QuickBooks Online is arguably the most comprehensive ecommerce finance and accounting solution on the market today. 

With the Magenest Quickbooks Online extension, you can automatically sync data from your Magento store to QuickBooks Online, making it easy for you to utilize QuickBooks' many tools and features for more accurate and efficient accounting.

Unique features

  • Magento 2 data changes are automatically updated to QuickBooks Online
  • Allows you to map payment methods to deposit accounts
  • Syncs sales orders, invoices, credit memos, customer data, tax rates, and more from Magento 2 to QuickBooks Online

What users think of this app

  • Allows you to connect multiple sales channels to a single account
  • Easy to set up and use
  • Provides the option to sync and edit data manually

19) TaxJar Sales Tax Automation

With sales tax rates differing from state to state, county to county, and city to city, keeping up with how much sales tax you owe for each purchase can quickly become dizzying. 

TaxJar Sales Tax Automation, however, is able to automate the entire sales tax life cycle across multiple sales channels, including sales tax calculations, nexus tracking, and reporting/filing.

Unique features

  • Automates sales tax compliance across 11,000 different jurisdictions
  • Automatically calculates and collects the appropriate sales tax amount at checkout
  • Address validation ensures that the correct sales tax amount is collected for the jurisdiction where the customer is located

What users think of this app

  • Excellent customer support
  • Provides detailed and easy-to-understand sales tax reports
  • Allows you to automatically submit returns and remittance to each jurisdiction

Activate better customer service for your Magento store with Gorgias

From a powerful ticketing system and auto-responders to live chat and customer intent detection, Gorgias has what your Magento store needs to provide a top-notch customer experience. 

Check out our Gorgias for Magento page to learn more about the best customer platform for ecommerce brands.

Positive Scripting

Positive Scripting in Customer Service: How To Do It Right

By Ryan Baum
13 min read.
0 min read . By Ryan Baum

Quick summary:

  • Positive scripting means using polite, pre-written responses to make customers feel acknowledged and taken care of
  • Benefits: less frustrated customers, better customer satisfaction, and faster first response times
  • Negatives: can make customer service teams sound overly friendly or robotic and may lead to slower resolution times when agents rely solely on scripts

A great customer experience relies on much more than positivity and kindness — your customers expect personalization at scale, self-service options, and concrete benefits like free shipping. That said, using the right words is an important factor in customer conversations.

Positive scripting is one practice that can help your customer service representative steer customer interactions toward desired outcomes (like upselling shoppers and bringing first-time customers back for a second purchase).

However, over-relying script templates in customer support is a shortcut to unhelpful customer care interactions. Read on to learn how to make the most of positive scripting while also avoiding its pitfalls.

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What is positive scripting? (AKA positive phraseology)

Positive scripting is the practice of creating canned responses for customer service interactions that use positive language to limit customer frustration and promote desired outcomes. 

With positive scripting, brands can provide support reps with resources such as scripts and templates that they can use to help ensure positive customer interactions. These scripts and templates can also be used as training resources to provide reps with examples of constructive interactions and positive language.

‎Goals of positive scripting

There are several goals that brands can accomplish with positive customer service scripts, including:

  • Promoting constructive customer service experiences that contribute to customer satisfaction
  • Alleviating customer frustration and de-escalating angry customers
  • Maintaining a consistent, positive brand voice
  • Speeding up response times to customer queries

Where can positive scripting be used?

Positive scripting can be used across numerous contact centers and customer support channels. 

How to use positive scripting in customer service

Like any customer support practice, positive scripting should be tweaked for each channel. 

Call centers

Providing support via a phone call requires reps to be quick on their feet, and this is where the practice of positive scripting first originated. 

Providing call center scripts to your call center agents can go a long way toward helping agents stay positive and on-brand when there isn't much time for them to formulate a response.

SMS support

Agents have a little more time to think about their SMS responses, but not much. Customers contacting your support team via SMS still expect swift responses, and positive scripting can help ensure that your SMS responses are swift, positive, and on-brand.

Live chat support

Like SMS, live chat conversations tend to be fast-moving — and this is one of the primary reasons why many consumers list live chat as their preferred customer support channel. 

With positive scripting and live chat tools like Gorgias live chat, you can provide fast, convenient, and helpful support via this advantageous channel.

📚 Recommended reading: Find out how Gorgias customer Ohh Deer used Gorgias chat to generate $12,500 in revenue — per quarter.

Email support

Support reps can typically put a little more time and thought into their email responses. 

Nevertheless, email templates with positive scripting can still help keep these responses positive and consistent while also enabling reps to respond to email queries more efficiently.

Social media support

Providing support via social media is a great way to meet your customers where they're most comfortable — and positive scripting helps keep these responses positive and on-brand. 

This is especially important when responding to comments and posts that other potential customers are likely to see.

Scripts and templates

Scripts, templates, and automated responses should all be built using positive scripting. 

If you use a helpdesk, chances are you can build a library of templates in the tool for agents to use during customer conversations. 

For example, you can use Gorgias Macros to build positive templates and autoresponses. Unlike most templates, Gorgias Macros pull customer information from ecommerce platforms like Shopify and BigCommerce, as well as other ecommerce tools (like Klaviyo and ShipBob) to automatically personalize the response. 

Use positive scripting in your helpdesk

Even better? Thanks to automated Rules, Gorgias can automatically send these personalized templates to customers for basic interactions — like WISMO (where is my order), questions about shipping and return policies, and so on. 

This way, your customer service team time saves time while still fostering a great, personalized customer experience.

Customer support training programs

You can use positive scripting to guide customer service training by using customer support scripts with positive language as examples of beneficial customer interactions. 

This helps new team members get a feel for expectations regarding your company's voice and tone, which they can reflect in their individual customer interactions.

Benefits of effective positive scripting

When used correctly, positive scripting can improve the quality of a brand's customer support services in several key ways, including:

Benefits of effective positive scripting (customer satisfaction, de-escalation, consistent brand voice, consistent processes)

Enhance customer experiences to encourage repeat business

Did you know that 54% of customers say they would stop purchasing from a brand after just a single bad experience? If you want to promote customer loyalty and repeat business, it's vital to provide positive experiences throughout every step of the customer journey. 

Likewise, repeat customers generate 300% more revenue than first-time shoppers, according to our data from over 10,000 ecommerce brands. Repeat customers place repeat orders, place larger orders, refer friends to your store, leave product reviews, and more. 

Repeat customers generate 300% more revenue than first-time customers.
Gorgias

While many different elements go into crafting positive customer experiences, facilitating friendly and welcoming customer interactions with positive scripting is one important step.

Avoid or de-escalate angry customers

Using positive words and language may not solve a customer's problem, but it can help ease their frustrations. Positive scripting is an effective way to de-escalate angry customers — and a great way to prevent customers from ever becoming angry in the first place.

Become more consistent with customer communication and policies

Your customer service agents don’t just need to be positive, they need to follow the same policies and procedures, especially for common customer interactions. Using scripting to guide 

Of course, you can also specify which policies agents can bend, and when. For example, if repeat customers ask for an extension on refund eligibility, it’s probably in your best interest to permit the return rather than frustrate a repeat customer.

📚Recommended reading: Our guide to creating a customer service policy that actually provides value. 

Maintain a positive brand voice

Positive scripting helps you maintain a consistent brand voice, but, just as importantly, it also helps you maintain a positive brand voice. By using positive scripting to guide your brand's messaging, you can carefully (and intentionally) design your language to encourage customer satisfaction and beneficial outcomes.

Examples of positive scripting

A majority of customer interactions can become more pleasant and productive with positive scripting. Here are some scenarios that would benefit from positive scripting:

  • Greeting: "Good [morning/afternoon/evening], thank you for choosing [Company Name]. How can I help you today?"
  • Apologizing: "I'm sorry to hear about the inconvenience you've faced. Let me look into this for you."
  • Offering assistance: "I'd be delighted to assist you with that" or "I'm here to make this right for you."
  • Expressing appreciation: "Thank you for bringing this to our attention" or "We appreciate your business and your feedback."
  • Providing assurance: "Rest assured, we'll resolve this for you" or "We'll do everything we can to make this a positive experience."
  • Suggesting solutions: "Let me find that information for you" or "May I suggest an alternative solution?"
  • Ending interactions: "Is there anything else I can assist you with today?" or "I hope you have a wonderful day."

The pitfalls of positive scripting

The biggest potential drawback of positive scripting is one that we've already touched on; customers who contact your call center or other customer support channel want to feel as though they are talking to a real human and not a robot regurgitating a script. 

It's also vital to remember that customers are ultimately much more interested in resolving their problems quickly than in the language that your reps use. Many times, a simple message with the information they're looking for (such as a tracking number) will suffice with no flair or positivity required.

Pitfalls of positive scripting.

To prevent positive scripting from harming your customer interactions rather than improving them, here are a few other key mistakes and pitfalls to avoid:

  • Not giving support team members the freedom to deviate from their script or inject their own flair
  • Scripting entire customer interactions instead of just using scripts to save time on the most common, process-heavy elements
  • Focusing too much on positive language and too little on actually solving customer issues as quickly as possible
  • Writing scripts that sound too robotic or overly-friendly
  • Using vague empathy statements rather than training your agents to be genuine and sincere

These are all serious mistakes to avoid if you want to make the most of positive scripting. When used appropriately, though, the benefits of this practice far outweigh its cons.

How to use positive scripting for customer service: 7 best practices

Positive scripting is a powerful tool for ecommerce brands to leverage, but it's important to use it correctly. Here are the seven best practices that you should employ to make the most of positive scripting (and avoid its pitfalls).

1) Use scripts as a starting point, not for the entire interaction

The scripts you give your support reps should be used for the most common, predictable part of customer interactions rather than mapping out the entire conversation. 

For example, your agents might use a script to greet customers and share information about your shipping policy (in response to a question about shipping). But, the agent should be flexible enough to include unique information or handle follow-up questions that may not be so predictable.

“I like to think of Macros as guidelines. When you open up a Macro, it's not 100% the right thing to say, because you have to match the customer’s tone and specific query. And it's up to the agent to understand that and adjust along the way — but Gorgias gives you the tools to do that.” 

— Leeor Cohen, Founder and CEO at CreateCX

If you require your agents to follow a script from start to finish, you risk sounding robotic and not providing agents with the flexibility they need to keep customers happy.

2) Prepare positive responses for common situations

Customers who cannot track their order, received the wrong item, or want to make a return are just a few examples of common situations where customers are sure to welcome a little friendliness and empathy — along with helpful information and clear next steps. 

Using positive scripting to create responses to these common situations helps your brand handle these issues consistently and ensure that they are handled with care and positivity. 

All you have to do is identify the questions that your support team receives most frequently and then load positive, brand-consistent responses into your helpdesk:

Build a library of templates with positive scripting.

While each brand varies, some of the most common situations include:

  • WISMO, or “where is my order?”
  • Questions about refund and returns policies
  • Questions about product availability
  • Product-related questions (sizing, compatibility, ingredients, etc.)

3) Encourage customer support to enhance scripts with their own unique flair

Customer service reps should be free to deviate from scripts when needed or inject them with their unique flair. Encouraging your reps to use scripts as a guide rather than a word-for-word requirement ensures that your brand doesn't script away its human touch.

We love this example of an agent bending a policy and sparking up a delightful conversation:

An example of a positive, delightful interaction with a customer.

4) Use scripts for training representatives

Along with using customer service scripts to guide customer interactions in the moment, you can also use them as resources for training your representatives. Once again, not everything that your agents say will be scripted, so ensuring they understand the principles behind positive scripting is just as important as providing the scripts themselves. 

Using scripts to showcase what positive customer interactions look like will allow your agents to leverage positive language even when they aren't using a script. For example, you can use scripts to demonstrate mock customer service interactions and then dive into the specifics of why the scripted responses you've created work well for those situations.

📚 Recommended reading: Our Director of Support’s guide to customer service training.

5) Avoid sounding like a robot

Several of the tips we've already covered are geared toward preventing support agents from sounding wooden or robotic, and this is an essential consideration when using positive scripting. 

By using scripts to initiate an interaction rather than scripting the entire conversation, giving agents the freedom to add their own flair to the scripts, and adding personality to the scripts you create, you can avoid this common pitfall of positive scripting. 

It's also vital for your reps to demonstrate genuine empathy throughout customer interactions to avoid sounding uncaring and robotic. This can't be easily scripted, making it important to ensure that your reps know how to adopt an empathetic tone and approach.

📚 Recommended reading: The ultimate guide to offering personalized customer service at scale. 

6) Nail the greeting

Your agent's initial greeting to a customer sets the tone for the rest of the interaction. It's also one of the easiest parts of customer interactions to script since the initial greeting will largely remain the same regardless of the customer's specific issue or sentiment. 

Stating the company name and the agent's name, asking the customer's name, telling them good morning/good afternoon, and assuring them that you are happy to assist them are all great elements to consider including in your greeting script.

7) Test, iterate, and refine to perfect your customer service interactions

Like almost every aspect of ecommerce, positive scripting in customer service is something you can continually improve with proper testing. CSAT surveys are one excellent way to gather customer feedback following a customer support interaction. You can use the feedback you gather from these surveys to fine-tune your customer support scripts. 

For instance, if many customers complain that your reps sound unempathetic or robotic, you may want to revisit the language of your scripts or encourage your agents to inject more of their own personalities. Throughout testing and refining your scripts, keep in mind that script building should be a collaborative experiment, with customer service teams working alongside reps and using data from past customer service interactions to guide the process.

Offer positive, fast, and helpful customer service with Gorgias

Positive scripting is one effective way to improve the quality of your brand's customer support and encourage more positive customer experiences. However, it's also just one small element of high-quality, revenue-generating customer support

If you would like to offer the type of fast, positive, and helpful customer service that will set your brand apart from the competition, it's important to use the right customer support tools.

With Gorgias' industry-leading customer support platform, you'll be able to leverage a range of advanced customer support tools and capabilities — all designed to boost customer satisfaction by improving both the speed and helpfulness of your support services. 

To get started offering positive, fast, and helpful customer support via the best ecommerce customer support platform on the market, be sure to sign up for Gorgias today!

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Webinar Jaxxon

[Webinar Recap]: How Jaxxon Prepares for Peak Season to Optimize CX and Maximize Revenue

By Ilke Akcasoy
5 min read.
0 min read . By Ilke Akcasoy

Maximizing peak season sales isn’t only about driving customers to your website. If website visitors people encounter a slow, unhelpful, or lackluster customer experience, they’ll click away before buying — flushing away all your marketing efforts and dollars.

In a recent webinar, Caela Castillo, Director of Customer Experience at luxury men’s jewelry brand Jaxxon, shared Jaxxon’s strategies for optimizing customer experience to maximize revenue during peak season. 

We’ll start with some of the most concrete strategies Jaxxon leverages, and wrap up with some bigger-picture insights on how Caela manages the team. 

You can also hear Caela share these tips herself by watching the webinar here.

How Jaxxon manages ticket spikes during peak season

Last year, Jaxxon had what Caela describes as a very successful but challenging peak season, when customer support tickets skyrocketed to three times normal levels. As a result, Jaxxon has stepped up its approach to optimizing customer support for efficiency and self-service during the 2022 peak season.

Here are the tactics and tools Jaxxons used to manage ticket spikes this year:

Provide self-service answers to FAQ in live chat

Jaxxon uses Gorgias Quick Response Flows to answer frequently asked questions during peak season. Caela and her team customize the questions and answers so that customers can get an instant response to common queries.

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Jaxxon
“We really noticed that adding automated self-service with Gorgias took part of the load off us. A lot of customers’ questions are answered by self-service, so then they’re happy and we don’t have to do anything further with those tickets,” Caela says. 

Automating these responses has two-fold benefits:

  1. Customers get instant answers to questions — no wait time required
  2. Agents actually have time for conversations that need a human touch

“If the customer has additional questions, then our agents have the time to have an authentic conversation with them, and give them a really great experience.”

Regularly review tickets to monitor performance and spot emerging issues

Caela regularly reviews recent customer conversations to monitor individual agent performance and identify areas for improvement or lessons learned. Using Gorgias tags — automatically applied to customer tickets for categorization and filtering — Caela can also get a sense for the most common customer questions and issues.

“If we're noticing a trend with a certain issue, then we want to solve it right away rather than figure it out weeks from now when it’s a bigger issue,” Caela explains. “So we don't want to only review tickets once a month. We want to do it in real time.”

The real opportunity for peak seasons is turning first-time customers into repeat shoppers

Jaxxon realizes that any peak season is a starting line, not a finish line. Providing an awesome first customer experience doesn’t just net a sale. It nurtures longterm relationships and turns happy customers into loyal brand advocates.

“We want to make sure that first shopping experience is really great — everything from the customer support to the shipping to the box it arrives in — so they want to come back and buy again. We listen to our customer reviews and we really want to help people have a great experience.”

Jaxxon invests in ongoing training and support to ensure its customer service agents have the knowledge, skills, and tools they need to do their job confidently and effectively.

“Sometimes customers are a little hesitant about buying something as expensive as solid gold online. And our agents can explain to them the difference between our products, or suggest an upgrade, or say, hey, would you like this bracelet to go with the Cuban link chain you bought last time?” says Caela. 

“For our agents to be able to upsell and cross-sell like that is super important for us — and it works.”

Quick Response Flows help Jaxxon open the door to some of these conversions. Providing quick, helpful answers about product restocks, sizing, shipping and more, lays a positive foundation that human agents can easily build on.

How Jaxxon sustains the team during peak seasons

One of the biggest challenges during any peak season is thinking ahead so that your team — not just your customers — succeed.

Plan ahead when it comes to coverage

First off, make sure you have enough customer service agents in place to cope with soaring demand. Jaxxon has increased its customer support team for this year’s peak season. 

Caela uses a zoning plan to stagger agents’ shifts across different time zones and locations, so there is always enough coverage for Jaxxon’s 24/7 customer support. She adapts this as peak season unfolds to meet shifting demand.

“Having open communication is essential. We always say there are no stupid questions. We’re here to help each other. Even though we work remotely, we're still able to communicate really well and work as a team.

Once the team is in place, get them ready. “Training your team is really important, and making sure they have the resources and support they need,” Caela says.

📚 Related reading: How to stand out during Black Friday with 18 marketing strategies

Maintain staff morale during crunch time

“Keeping morale high is so important for peak season, because it’s a busy time in life, not just at work,” Caela says. This is a unique situation in ecommerce — did anyone else have a turkey in the oven while answering support tickets during BFCM?

“Everyone gets stressed; sometimes people get sick. It's hard to sustain motivation sometimes. So we want to make sure everyone's really taken care of and set up for success. And we try to make it fun for the team.” 

A culture of mutual support among the Jaxxon customer service team is reinforced by team-based incentives to win gift cards, jewelry and more when certain targets are met.

“A positive attitude goes a long way to keeping people motivated. You get so much farther if you're kind and positive. And I’m very big on looking at difficult situations as learning experiences. And if someone is struggling, other team members will help them so we all rise together.” 

📚 Related reading: How Jaxxon offers motivates agents with rotating customer support incentives.

Lean on tools and systems to manage high demand

Having the right systems in place to manage customer support more efficiently is important at any time of year. But it has the biggest impact during peak periods when demand balloons. 

“You have to prepare for the worst, in terms of very high demand. Things just get crazier as peak season progresses! So make sure to have your self-service and automation set up and ready to go,” says Caela. “After last year’s challenges, we've made sure to have stronger systems in place this year.”

Jaxxon now uses Gorgias to manage all customer conversations. This helps the team work more efficiently in several ways:

  • Seeing all customer conversations across different channels in one place, to avoid tab-shuffling and duplicated responses
  • Filtering and sorting tickets, for easier prioritization
  • Deflecting some questions to automated self-service, to free up customer service agents’ time for more complex customer conversations
  • Bringing together all of a customer’s information, to enable more personalized service

Implementing self-service chat has cut Jaxxon’s live chat volume by 17%, yet increased conversions by 6%. Meanwhile, revenue generated by chat has shot up by an impressive 46%. The overall impact has been positive for customer experience and Jaxxon’s bottom line.

Read more about how Jaxxon uses Gorgias to speed up response times without sacrificing the quality of customer service.

Customer experience is vital to maximize peak season sales

By assembling a larger, well-trained customer service team and putting the right tools in place, Jaxxon is poised to continue delivering high-quality customer service this peak season — even when ticket volumes triple. Caela and her team are excited to dive into the peak season. With Gorgias by their side, they are ready to ride out whatever challenges come their way.

To hear the full story of Caela’s tips, lessons learned, and Jaxxon’s preparations for peak seasons, watch the webinar replay.

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