Search our articles
Search

Featured articles

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.

{{lead-magnet-2}}

min read.
AI Alignment

AI in CX Webinar Recap: Turning AI Implementation into Team Alignment

By Gabrielle Policella
0 min read . By Gabrielle Policella

TL;DR:

  • Implement quickly and iterate. Rhoback’s initial rollout process took two weeks, right before BFCM. Samantha moved quickly, starting with basic FAQs and then continuously optimizing.  
  • Train AI like a three-year-old. Although it is empathetic, an AI Agent does not inherently know what is right or wrong. Invest in writing clear Guidance, testing responses, and ensuring document accuracy. 
  • Approach your AI’s tone of voice like a character study. Your AI Agent is an extension of your brand, and its personality should reflect that. Rhoback conducted a complete analysis of its agent’s tone, age, energy, and vocabulary. 
  • Embrace AI as a tool to reveal inconsistencies. If your AI Agent is giving inaccurate information, it’s exposing gaps in your knowledge sources. Uses these early test responses to audit product pages, help center content, Guidance, and policies.
  • Check in regularly and keep humans in control. Introduce weekly reviews or QA rituals to refine AI’s accuracy, tone, and efficiency. Communicate AI insights cross-functionally to build trust and work towards shared goals.

When Rhoback introduced an AI Agent to its customer experience team, it did more than automate routine tickets. Implementation revealed an opportunity to improve documentation, collaborate cross-functionally, and establish a clear brand tone of voice. 

Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, explains the entire process in the first episode of our AI in CX webinar series.

Top learnings from Rhoback’s AI rollout  

1. You can start before you “feel ready”

With any new tool, the pre-implementation phase can take some time. Creating proper documentation, training internal teams, and integrating with your tech stack are all important steps that happen before you go live. 

But sometimes it’s okay just to launch a tool and optimize as you go. 

Rhoback launched its AI agent two weeks before BFCM to automate routine tickets during the busy season. 

Why it worked:

  • Samantha had audited all of Rhoback’s SOPs, training materials, and FAQs a few months before implementation. 
  • They started by automating high-volume questions such as returns, exchanges, and order tracking.
  • They followed a structured AI implementation checklist. 

2. Audit your knowledge sources before you automate

Before turning on Rhoback’s AI Agent, Samantha’s team reviewed every FAQ, policy, and help article that human agents are trained on. This helped establish clear CX expectations that they could program into an AI Agent. 

Samantha also reviewed the most frequently asked questions and the ideal responses to each. Which ones needed an empathetic human touch and which ones required fast, accurate information?  

“AI tells you immediately when your data isn’t clean. If a product detail page says one thing and the help center says another, it shows up right away.” 

Rhoback’s pre-implementation audit checklist:

  • Review customer FAQs and the appropriate responses for each. 
  • Update outdated PDPs, Help Centre articles, policies, and other relevant documentation.
  • Establish workflows with Ecommerce and Product teams to align Macros, Guidance, and Help Center articles with product descriptions and website copy. 

Read more: How to Optimize Your Help Center for AI Agent

3. Train your AI Agent in small, clear steps

It’s often said that you should train your AI Agent like a brand-new employee. 

Samantha took it one step further and recommended treating AI like a toddler, with clear, patient, repetitive instructions. 

“The AI does not have a sense of good and bad. It’s going to say whatever you train it, so you need to break it down like you’re talking to a three-year-old that doesn’t know any different. Your directions should be so detailed that there is no room for error.”

Practical tips:

  • Use AI to build your AI Guidance, focusing on clear, detailed, simple instructions. 
  • Test each Guidance before adding new ones.
  • Treat the training process like an ongoing feedback loop, not a one-time upload.

Read more: How to Write Guidance with the “When, If, Then” Framework

4. Prioritize Tone of Voice to make AI feel natural

For Rhoback, an on-brand Tone of Voice was a non-negotiable. Samantha built a character study that shaped Rhoback’s AI Agent’s custom brand voice.

“I built out the character of Rhoback, how it talks, what age it feels like, what its personality is. If it does not sound like us, it is not worth implementing.”

Key questions to shape your AI Agent’s tone of voice:

  • How does the AI Agent speak? Friendly, funny, empathetic, etc…?
  • Does your AI Agent use emojis? How often?
  • Are there any terms or phrases the AI Agent should always or never say?

5. Use AI to surface knowledge gaps or inconsistencies

Once Samantha started testing the AI Agent, it quickly revealed misalignment between Rhoback’s teams. With such an extensive product catalog, AI showed that product details did not always match the Help Center or CX documentation. 

This made a case for stronger collaboration amongst the CX, Product, and Ecommerce teams to work towards their shared goal of prioritizing the customer. 

“It opened up conversations we were not having before. We all want the customer to be happy, from the moment they click on an ad to the moment they purchase to the moment they receive their order. AI Agent allowed us to see the areas we need to improve upon.” 

Tips to improve internal alignment:

  • Create regular syncs between CX, Product, Ecommerce, and Marketing teams.
  • Share AI summaries, QA insights, and trends to highlight recurring customer pain points.
  • Build a collaborative workflow for updating documents that gives each team visibility. 

6. Build trust (with your team and customers) through transparency 

Despite the benefits of AI for CX, there’s still trepidation. Agents are concerned that AI would replace them, while customers worry they won’t be able to reach a human. Both are valid concerns, but clearly communicating internally and externally can mitigate skepticism. 

At Rhoback, Samantha built internal trust by looping in key stakeholders throughout the testing process. “I showed my team that it is not replacing them. It’s meant to be a support that helps them be even more successful with what they’re already doing," Samantha explains.

On the customer side, Samantha trained their AI Agent to tell customers in the first message that it is an AI customer service assistant that will try to help them or pass them along to a human if it can’t. 

How Rhoback built AI confidence:

  • Positioned AI as a personal assistant for agents, not a replacement.
  • Let agents, other departments, and leadership test and shape the AI Agent experience early.
  • Told customers up front when automation was being used and made the path to a human clear and easy.

Read more: How CX Leaders are Actually Using AI: 6 Must-Know Lessons

Putting these into practice: Rhoback’s framework for an aligned AI implementation 

Here is Rhoback’s approach distilled into a simple framework you can apply.

  1. Audit your content: Ensure your FAQs, product data, policies, and all documentation are accurate.
  2. Start small: Automate one repetitive workflow, such as returns or tracking.
  3. Train iteratively: Add Guidance in small, testable batches.
  4. Prioritize tone: Make sure every AI reply sounds like your brand.
  5. Align teams: Use AI data to resolve cross-departmental inconsistencies and establish clearer communication lines.
  6. Be transparent: Tell both agents and customers how AI fits into the process.
  7. Refine regularly: Review, measure, and adjust on an ongoing basis.

Watch the full conversation with Samantha to learn how AI can act as a catalyst for better internal alignment

📌 Join us for episode 2 of AI in CX: Building a Conversational Commerce Strategy that Converts with Cornbread Hemp on December 16.

{{lead-magnet-1}}

min read.
Food & Beverage Self-Service

How Food & Beverage Brands Can Level Up Self-Service Before BFCM

Before the BFCM rush begins, we’re serving food & beverage CX teams seven easy self-serve upgrades to keep support tickets off their plate.
By Alexa Hertel
0 min read . By Alexa Hertel

TL;DR:

  • Most food & beverage support tickets during BFCM are predictable. Subscription cancellations, WISMO, and product questions make up the bulk—so prep answers ahead of time.
  • Proactive CX site updates can drastically cut down repetitive tickets. Add ingredient lists, cooking instructions, and clear refund policies to product pages and FAQs.
  • FAQ pages should go deep, not just broad. Answer hyper-specific questions like “Will this break my fast?” to help customers self-serve without hesitation.
  • Transparency about stock reduces confusion and cart abandonment. Show inventory levels, set up waitlists, and clearly state cancellation windows.

In 2024, Shopify merchants drove $11.5 billion in sales over Black Friday Cyber Monday. Now, BFCM is quickly approaching, with some brands and major retailers already hosting sales.

If you’re feeling late to prepare for the season or want to maximize the number of sales you’ll make, we’ll cover how food and beverage CX teams can serve up better self-serve resources for this year’s BFCM. 

Learn how to answer and deflect customers’ top questions before they’re escalated to your support team.

💡 Your guide to everything peak season → The Gorgias BFCM Hub

Handling BFCM as a food & beverage brand

During busy seasons like BFCM and beyond, staying on top of routine customer asks can be an extreme challenge. 

“Every founder thinks BFCM is the highest peak feeling of nervousness,” says Ron Shah, CEO and Co-founder of supplement brand Obvi

“It’s a tough week. So anything that makes our team’s life easier instantly means we can focus more on things that need the time,” he continues. 

Anticipating contact reasons and preparing methods (like automated responses, macros, and enabling an AI Agent) is something that can help. Below, find the top contact reasons for food and beverage companies in 2025. 

Top contact reasons in the food & beverage industry 

According to Gorgias proprietary data, the top reason customers reach out to brands in the food and beverage industry is to cancel a subscription (13%) followed by order status questions (9.1%).

Contact Reason

% of Tickets

🍽️ Subscription cancellation

13%

🚚 Order status (WISMO)

9.1%

❌ Order cancellation

6.5%

🥫 Product details

5.7%

🧃 Product availability

4.1%

⭐ Positive feedback

3.9%

7 ways to improve your self-serve resources before BFCM

  1. Add informative blurbs on product pages 
  2. Craft additional help center and FAQ articles 
  3. Automate responses with AI or Macros 
  4. Get specific about product availability
  5. Provide order cancellation and refund policies upfront
  6. Add how-to information
  7. Build resources to help with buying decisions 

1) Add informative blurbs on product pages

Because product detail queries represent 5.7% of contact reasons for the food and beverage industry, the more information you provide on your product pages, the better. 

Include things like calorie content, nutritional information, and all ingredients.  

For example, ready-to-heat meal company The Dinner Ladies includes a dropdown menu on each product page for further reading. Categories include serving instructions, a full ingredient list, allergens, nutritional information, and even a handy “size guide” that shows how many people the meal serves. 

The Dinner Ladies product page showing parmesan biscuits with tapenade and mascarpone.
The Dinner Ladies includes a drop down menu full of key information on its product pages. The Dinner Ladies

2) Craft additional Help Center and FAQ articles

FAQ pages make up the information hub of your website. They exist to provide customers with a way to get their questions answered without reaching out to you.   

This includes information like how food should be stored, how long its shelf life is, delivery range, and serving instructions. FAQs can even direct customers toward finding out where their order is and what its status is. 

Graphic listing benefits of FAQ pages including saving time and improving SEO.

In the context of BFCM, FAQs are all about deflecting repetitive questions away from your team and assisting shoppers in finding what they need faster. 

That’s the strategy for German supplement brand mybacs

“Our focus is to improve automations to make it easier for customers to self-handle their requests. This goes hand in hand with making our FAQs more comprehensive to give customers all the information they need,” says Alexander Grassmann, its Co-Founder & COO.

As you contemplate what to add to your FAQ page, remember that more information is usually better. That’s the approach Everyday Dose takes, answering even hyper-specific questions like, “Will it break my fast?” or “Do I have to use milk?”

Everyday Dose FAQ page showing product, payments, and subscription question categories.
Everyday Dose has an extensive FAQ page that guides shoppers through top questions and answers. Everyday Dose

While the FAQs you choose to add will be specific to your products, peruse the top-notch food and bev FAQ pages below. 

Time for some FAQ inspo:

3) Automate responses with AI or macros

AI Agents and AI-powered Shopping Assistants are easy to set up and are extremely effective in handling customer interactions––especially during BFCM.  

“I told our team we were going to onboard Gorgias AI Agent for BFCM, so a good portion of tickets would be handled automatically,” says Ron Shah, CEO and Co-founder at Obvi. “There was a huge sigh of relief knowing that customers were going to be taken care of.” 

And, they’re getting smarter. AI Agent’s CSAT is just 0.6 points shy of human agents’ average CSAT score. 

Obvi homepage promoting Black Friday sale with 50% off and chat support window open.
Obvi 

Here are the specific responses and use cases we recommend automating

  • WISMO (where is my order) inquiries 
  • Product related questions 
  • Returns 
  • Order issues
  • Cancellations 
  • Discounts, including BFCM related 
  • Customer feedback
  • Account management
  • Collaboration requests 
  • Rerouting complex queries

Get your checklist here: How to prep for peak season: BFCM automation checklist

4) Get specific about product availability

With high price reductions often comes faster-than-usual sell out times. By offering transparency around item quantities, you can avoid frustrated or upset customers. 

For example, you could show how many items are left under a certain threshold (e.g. “Only 10 items left”), or, like Rebel Cheese does, mention whether items have sold out in the past.  

Rebel Cheese product page for Thanksgiving Cheeseboard Classics featuring six vegan cheeses on wood board.
Rebel Cheese warns shoppers that its Thanksgiving cheese board has sold out 3x already. Rebel Cheese  

You could also set up presales, give people the option to add themselves to a waitlist, and provide early access to VIP shoppers. 

5) Provide order cancellation and refund policies upfront 

Give shoppers a heads up whether they’ll be able to cancel an order once placed, and what your refund policies are. 

For example, cookware brand Misen follows its order confirmation email with a “change or cancel within one hour” email that provides a handy link to do so. 

Misen order confirmation email with link to change or cancel within one hour of checkout.
Cookware brand Misen follows up its order confirmation email with the option to edit within one hour. Misen 

Your refund policies and order cancellations should live within an FAQ and in the footer of your website. 

6) Add how-to information 

Include how-to information on your website within your FAQs, on your blog, or as a standalone webpage. That might be sharing how to use a product, how to cook with it, or how to prepare it. This can prevent customers from asking questions like, “how do you use this?” or “how do I cook this?” or “what can I use this with?” etc. 

For example, Purity Coffee created a full brewing guide with illustrations:

Purity Coffee brewing guide showing home drip and commercial batch brewer illustrations.
Purity Coffee has an extensive brewing guide on its website. Purity Coffee

Similarly, for its unique preseasoned carbon steel pan, Misen lists out care instructions

Butter melting in a seasoned carbon steel pan on a gas stove.
Misen 

And for those who want to understand the level of prep and cooking time involved, The Dinner Ladies feature cooking instructions on each product page. 

The Dinner Ladies product page featuring duck sausage rolls with cherry and plum dipping sauce.
The Dinner Ladies feature a how to cook section on product pages. The Dinner Ladies 

7) Build resources to help with buying decisions 

Interactive quizzes, buying guides, and gift guides can help ensure shoppers choose the right items for them––without contacting you first. 

For example, Trade Coffee Co created a quiz to help first timers find their perfect coffee match: 

Trade Coffee Co offers an interactive quiz to lead shoppers to their perfect coffee match. Trade Coffee Co

Set your team up for BFCM success with Gorgias 

The more information you can share with customers upfront, the better. That will leave your team time to tackle the heady stuff. 

If you’re looking for an AI-assist this season, check out Gorgias’s suite of products like AI Agent and Shopping Assistant

{{lead-magnet-2}}

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

Further reading

The Gems of Learning with TJ Balo

By Christelle Agustin
5 min read.
0 min read . By Christelle Agustin

TJ’s Top Advice: 

  • As a leader, foster openness and creativity by encouraging team members to regularly share their ideas.
  • Tell your customers when you update a product. Including them in the conversation can build trust and bring about valuable feedback.
  • Treat your customers as your stakeholders. They are the driving force behind your brand and deserve to have their voices heard.
  • Leadership entails continuous learning from your team, customers, and the industry at large.

Everybody wants to skip to the answers, but for TJ Balo, there is more joy to be found in the learning. Since 2014, TJ has been the Head of Customer Relations and Marketing at Andrea Iyamah, a fashion line founded in 2011 by Nigerian designer Andrea Dumebi Iyamah. From Toronto, TJ leads a group of customer service reps from around the world, including New York and Nigeria, teaching them the ins and outs of customer service operations, logistics, and lingo.

Encouraging out-of-the-box ideas

Brainstorming is one of the most exciting parts of the job for TJ, who’s always finding ways to improve the customer experience. When his team gets together, there is no wrong answer. TJ encourages his staff to think outside the box. Whether it’s a bold social media marketing play or a never-before-done collection, he wants to hear it all.

“I always want them to bring new concepts and ideas to the table. I think that for success, it's not about the implementation. It's about what you’re thinking,” he says. 

The vulnerability to share out-of-the-box ideas allows his team to create a playground where creativity is the only goal. It’s where every idea has a chance to shine when the time is right, whether it’s in a month or in the next year. All TJ asks is for every person to be fearless and confident: “Let your presence be known. The minute I can identify you, that's when I know that you're doing something right and I'm doing something right.”

The TIBARA Kaftan Dress in Lime from Andrea Iyamah
         

Including customers in the conversation

Online businesses, especially fashion brands, are no strangers to the challenge of meeting customer expectations. Sometimes colors don’t appear the same way on a screen as they do in person. Other times, sizes may run a smidge too loose or snug. Regardless of the issue, “it’s about consistent communication first,” TJ says. 

How can you show up for the customer and show them they matter? For TJ’s team, customer satisfaction is their guiding light. They always remember to throw in an incentive for customers, whether it’s a refund, discount, or replacement.  

‎TJ pays the same heed to internal feedback. His team’s opinion takes precedence before a product is released. They answer questions like, “What’s missing?” “Does it translate well to different body types?” People naturally gravitate towards good products, and TJ wants to hit that mark as closely as possible the first time around.

When mishaps occur, broadcasting the solution to their customer base is imperative. “I think that that's one step a lot of fashion and retail brands miss. They take the feedback in, and they come out with a new or better product, but the customer doesn't know because they don't communicate that message to them to say, ‘We took this in from you, we have this new version out, come and try it again,” he says. 

Treating customers as stakeholders

The AZO Mini Dress in Tangerine from Andrea Iyamah
         

Peruse Andrea Iyamah’s Pinterest and their inspirations draw from a cornucopia of African cultures, stories, and experiences. Traditional details can be found in every piece, from a modern sleeveless dress in the recognizable silhouette of a Kaftan to jumpsuits adorned with sculptural pleats similar to those found on a Gele. The room to innovate is boundless, especially with their Treasures.

Treasures, the term of endearment for their customers, are the backbone of Andrea Iyamah. Without the support and feedback of their Treasures, the brand would not have crossed international borders, dressing icons like Michelle Obama, Gabrielle Union, Ciara, and Kate Hudson.

‎“We treat our customers as our stakeholders. We believe they’re the driving force of the brand and its vision, hence our goal to make them feel valued and appreciated,” TJ emphasizes.

On Instagram, they spotlight their Treasures’ voices with Instagram carousels of rave reviews on Twitter. One Treasure confidently states, “Andrea Iyamah never misses… I swear.”

“You have to take in every single detail. That is where the brand meets the stakeholder. That's where they both come together. I never give credit to just either or. They both come together to create and to curate this amazing masterpiece.” —TJ Balo on handling custom orders

Continuous learning is vital to leadership

For a business that’s been operating for over a decade, you could say Andrea Iyamah has accomplished everything. But for TJ, the learning never stops. “Research and ensuring that you're actually taking in that research is the genesis of staying on the cutting edge.” 

He recognizes that they aren’t the first to do it in their industry, that there are countless other companies making great strides. Nonetheless, he wants to be the best to do it. “As we grow, as a business, as a brand, as a company, even just as a team generally, I want to be a reflection of what I would like from my team. You can never know it all. Continuous learning is also leadership.”

{{lead-magnet-1}}

There’s More to Chat Than You Think: Debunking 5 Chat Myths

By Christelle Agustin
6 min read.
0 min read . By Christelle Agustin

Customers who use chat support are 2.8 times more likely to convert than those who don’t. Despite its proven impact, misconceptions around chat’s limited scope — reducing it to only live interactions — persist, creating a missed opportunity for the online stores that could benefit from it the most. 

The reality is chat is a versatile tool that can adjust to company needs, whether it’s a self-service tool that runs on its own, a channel for providing live support, or both.

For ecommerce businesses on the fence about incorporating chat into their customer service operations, we're here to clear up five of the most common myths about chat’s functions, costs, and benefits. After that, we’ll lay out a five-step guide to efficiently set up chat so you can start delighting customers now. 

{{lead-magnet-1}}

What’s the difference between Live Chat and Chat?

Live chat is real-time communication that allows customers to interact with a customer service representative instantly. It's the digital equivalent of walking into a store and speaking directly with an employee.

On the other hand, chat is more than just live interactions; it includes automated responses that ensure customers receive support, even without agents. This hybrid approach allows businesses to deliver 24/7 customer support.

Chat solutions, like Gorgias Chat, blend live chat's on-demand nature with automation and AI. Chat allows businesses to provide support regardless of time zone and staff availability.

‎Five chat myths debunked

Confusion about what chat can do often discourages businesses from leveraging the powerful customer service tool. Below, we’ll be myth-busting five common misconceptions about chat to reveal its true potential.

Myth 1: Chat is expensive

Contrary to popular belief, chat can be a cost-effective solution to operate customer service. Brands can earn 10x more revenue by implementing chat and, in turn, operate a smaller support team. Support agents can be costly, so using chat to deflect tickets can be a quick way to optimize both time and budget.

Ron Shah quote

Myth 2: Chat is only for big companies

Chat's usefulness transcends business size and breaks down silos in customer service by allowing customers to get answers on their own time. As a customer service tool, any business engaging with customers can benefit greatly from it to tackle pre-sales questions and resolve issues efficiently.

Myth 3: Chat requires staff to operate

As previously mentioned, chat can handle both live and automated interactions, which means no agents are required to manage it. Online stores can set up chat on their websites, allowing it to run 24/7. Businesses can decide whether to enable live chat or keep it fully automated.

RipSkirt uses Chat to intake offline chat messages.
Chat can intake offline messages and operate 24/7 without agents.

Related: Customer service outsourcing: why, when, and how

Myth 4: Chat increases your tickets

Due to automation-based conversations in chat, ticket volume does not necessarily increase when customers use chat. A ticket is only created when a customer converses with a live agent. Unlike using social media as a support channel, chat empowers customers to self-serve and resolve issues on their own.

A customer gets their issue resolved by a chatbot.
Chat can resolve customer issues in seconds, preventing the need for customers to create more tickets.

Myth 5: Chat decreases customer satisfaction

Contrary to popular belief, chat has a positive impact on customer satisfaction. Based on Gorgias data, brands experienced a 1% increase in CSAT when using automation, including chat. The improved satisfaction can be attributed to the efficiency of automated answers and the absence of wait times.

Companies that used Gorgias Automate experienced a 1% increase in CSAT score
According to Gorgias data, customer satisfaction increases by 1% when customer service automation is used.

Myth 6: Email is just as good as chat

While email remains a staple, chat offers immediate engagement in the shopping flow that can create opportunities for upselling. For example, an on-site campaign toolkit like Gorgias Convert becomes a seamless extension of your sales and support strategy with the ability to recommend products within chat. 

Since chat simplifies the process of reaching out, it is also easier for companies to build trust with their customers. The fewer hurdles customers have to jump over to get an answer, the more readily they will trust your brand.

Chat is a more accessible support channel than email

Read more: You’re doing it wrong: better ways to use email as a customer service channel

The best Chat setup in 4 easy steps

Now that you know chat isn’t expensive and can give you a great return on investment, you can start making the most of it. Here’s the optimal way to set up chat in four, simple steps.

1. Customize your chatbot avatar

A study from the University of Göttingen found that customers value clarity on whether they're conversing with a bot or a human agent. Their satisfaction did not dwindle when issues went unresolved, knowing they were interacting with a chatbot.

You can add “Bot” to your chat name on Gorgias whenever automated messages are sent. Enabling this improves the customer experience by letting them know exactly who they are talking to.

In addition, customizing your chatbot avatar to your company logo instead of leaving it as the default robot avatar adds a personal touch. If live chat is enabled, uploading individual profile photos for your agents will help customers feel more comfortable since they’re able to associate a face with the agent they’re talking to.

2. Set up Quick Responses to answer frequently asked questions

Frequently asked questions can quickly dominate your inbox, but with Quick Responses, you can offer fully automated answers. This allows you to provide customer service on an international scale without worrying about increasing agent workload.

Gorgias Automate upgrades your customer experience with an entire automation toolkit that includes Quick Responses in Chat. You can display up to six Quick Responses at a time, providing customers with immediate answers to their questions.

RipSkirt uses Quick Responses to answer customers even when their support team is offline.

3. Set live chat hours

While many assume live chat needs to be available for extended hours, the truth is that live chat hours can be tailored to what suits your brand best, even if that's just one hour a day. The key is to clearly communicate when an agent will respond to customers outside of these hours. 

Customers prefer live chat because of the lack of wait times, so if you’re offering live chat, be sure your agents meet customer expectations by answering chat conversations in 30 seconds. Strengthening customer relationships is crucial to building trust and, therefore, increasing your ecommerce retention rate. On Gorgias, setting your business hours will directly update how Chat appears to customers.

Bokksu uses Gorgias Automate to provide Quick Responses, Order Management, and live chat
When support agents are online, a green icon will appear next to their avatars on Gorgias Chat.

4. Build a Help Center to provide Article Recommendations in Chat

A help center is a database of articles that range from frequently asked questions and guides to video tutorials and policies. On Gorgias, Chat can use your Help Center articles to enrich automated answers with detailed information. For instance, fashion and apparel stores can create a sizing guide article, which Chat can then reference, guiding customers directly to the information they need. 

Article Recommendations in Chat
Gorgias Chat provides article recommendations based on.the contents of your Help Center.

Accomplish the work of 3 agents with Gorgias Automate

Gorgias Automate enabled luxury luggage company July to handle the equivalent workload of three extra agents. With tools like Chat, July went from handling repetitive queries to focusing on more significant customer issues. This significant change enhanced their support efficiency and customer satisfaction. 

Want to become a success story? Discover how Gorgias Automate can streamline your support workflow and elevate customer experience. Book a demo today.

No items found.

New Data Shows 4 Ways Automation Impacts Customer Service

By Christelle Agustin
8 min read.
0 min read . By Christelle Agustin

Since ChatGPT was introduced in November 2022, customer service automation has stormed its way into almost every industry, including ecommerce. This leap in technology has paved the way for companies to increase their support efficiency dramatically, as demonstrated by the buy-now-pay-later service Klarna, which recently resolved two-thirds of customer service chats with AI

The business gains arising from automation are evident. Faster and smarter tools mean less time handling mundane tasks and more time improving the customer journey with meaningful conversations, personalized experiences, and seamless upselling opportunities.

At Gorgias, our mission is to elevate customer experiences with automated solutions. To determine the impact, we analyzed data from over 14,000 merchants who use automation compared to those who do not.

Our data revealed a 36% increase in repeat purchases, a 37% reduction in first response time, a 52% reduction in resolution time, a 27% decrease in the ticket-to-order ratio, and a 1% increase in CSAT when automation is used.

These compelling results assert our belief in automation as the next, inevitable step for scaling support teams.

“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions” —Ron Shah, CEO and Co-founder at Obvi 

The shift in customer service: doing more with less

Before automation, customer service teams scrambled to hire more agents as their customer bases grew. When Black Friday and other peak seasons arrived, hiring more agents was the Band-Aid fix. Today, companies are opting for leaner support teams as automation allows them to do more with less. The benefit? Teams can scale and improve the quality of service without temporarily bringing on new staff.

Automation works like a junior support agent but at a higher efficiency. It can handle frequently asked questions like where is my order? and customize responses according to brand voice. So, as repetitive tasks are handled in the background, agents can focus on more complex tickets, such as product-specific questions or technical issues that require troubleshooting.

“Before, agents had to handle it all. Now, they rarely take a ticket about frequently asked questions. They’re only handling escalations, special product-related questions, and things like that.” —Caela Castillo, Director of Customer Experience, Jaxxon

Automation is redefining customer experiences

The flexibility of automation makes it the ideal tool for personalized customer service. Aside from being a keyboard shortcut or macro, automation can be a hands-off assistant that can engage customers and influence as much as 25% of revenue.

At Gorgias, automation is at the core of our products, powering almost every feature in Helpdesk, Automate, and Convert. It allows merchants to deliver delightful and personalized customer interactions across various channels and touchpoints in the customer journey.

While automation is only one of many factors, we’ve found it to positively impact support performance metrics. Based on our data, merchants who used automation saw clear improvements in repeat purchase rates, response times, resolution times, tickets per order, and CSAT scores.

Automation led to 36% more repeat purchases

Retaining customer loyalty is challenging even when brands launch loyalty programs, as customers are discouraged by the effort required to receive rewards. However, Gorgias data shows that simply using automation can increase repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.

‎Yoga apparel brand Manduka used Gorgias Convert's on-site campaigns to influence customers to purchase multiple products. The campaign convinced shoppers to hit a $100 order total for free shipping by recommending small additional items they may be interested in. Their campaign brought in nearly $12,000, proving that automation can directly affect revenue.

“We want to be able to target our repeat customers who have purchased a lot, and say, ‘Welcome back! Here's a new product that would go wonderfully with the item you bought last time.’ It would be a wonderful translation of the in-person retail experience where staff know what you like, so they can assist you better.” —Jessica Botello, Customer Service Manager at Manduka

Automation accelerated first response time by 37%

First response time cut down by 37% after automating

‎Automated responses resolve tickets in zero seconds and result in faster first response times. On average, merchants using automation respond 37% faster than ones who don’t automate customer service.

Responding to customers as quickly as possible is especially important during busy seasons like Black Friday and Cyber Monday so that revenue-generating questions don’t get pushed to the backlog. The customer experience team at health supplement brand Obvi was able to drive 3x more purchases from support conversations compared to previous years.

Faster response times also mean agents are able to make stronger connections with customers. For Obvi’s CX team, it translated to more time to engage with their vibrant Facebook community:

“Instantly, our CX team had time to prioritize important matters, like being active in our community of 75,000 women instead of sitting answering emails.” —Ron Shah, CEO and Co-founder at Obvi

Customer issues are resolved 52% faster with automation

When customer tickets are automated, resolution times improve dramatically. Merchants using automation resolved tickets 52% faster than those without.

Automation is especially helpful in answering pre-sales questions. High-end luggage retailer July deflected 450 tickets a month immediately after activating Quick Responses, one-click FAQs that live in Chat. Their Head of Operations and CX, Alex Naoumidis, notes that setup was “so easy, with a huge payoff.”

This significant efficiency gain ensures customers are well-educated about their products, leaving agents time to personalize the rest of the customer journey.

Automation decreased ticket-to-order ratio by 27%

As automated responses provide quick solutions to customer issues, customers need to contact support less. Based on our data, brands that automate 10% or more of their tickets see a decrease in billable tickets per order. Brands with little to no automation do not see a significant improvement in the ticket-to-order ratio.

For apparel brand Shinesty, automating more than 10% of tickets greatly decreased the number of tickets per order by 27%. Self-serve tools like interactive conversations called Flows and Article Recommendations enabled customers to solve issues relating to discounts, subscription policies, and returns on their own.

“Automate would be useful for any ecommerce company that needs to lower their ticket counts, or wants to provide a more consistent experience.” —Molly Kerrigan, Senior Director of Retention at Shinesty

30 days of automation allow brands to scale faster

‎Thirty days after setting up automation in Gorgias, brands enjoyed a 1% increase in CSAT score, a 4.51 score compared to 4.46 for non-automating brands. Even though satisfaction only nudged an inch, the positive effects reached support teams, improving agent morale and team alignment.

Molly Kerrigan, Senior Director of Retention at Shinesty, emphasizes the importance of preserving quality customer interactions during growth, "We get a lot of praise from our customers, and they talk highly of our CX team after 1:1 interactions. We can’t lose that as we scale." 

Since Gorgias provides in-depth conversation analytics, CX teams are finally able to see their impact.

“Tracking customer satisfaction scores in Gorgias is a really big help to us. Before, we didn't know if we were doing well or not, but now we can see people like the service we provide. We use the KPI tracking data for internal monthly meetings to review performance and see where we can improve,” says Deja Jefferson, Customer Experience Manager at Topicals.

Clearly, balancing automation with personalization significantly improves the customer journey. Given that customers with positive customer experiences are 2.7 times more likely to do repeat business, the value of automation is unmistakable.

In the future, agents will be AI coaches

AI progress has advanced in a short amount of time. But to remind you, this is only the beginning of what automation and AI can do in customer service. We envision AI as a constant work in progress, meant to intake information until it is capable enough to handle more complex tasks. This means agents will spend more time building strong customer connections and finding ways the business can grow.

Gorgias is at the forefront of this evolution, developing automation and AI-driven solutions like an AI-generated Help Center, an AI Agent, a generative AI assistant that autonomously answers customer questions, and an Interaction Quality Score to measure and report on AI-customer interactions. Gorgias aims to transform how support teams and customers interact with AI, paving the way for more impactful customer experiences on a human scale.

{{lead-magnet-1}}

Boost Your Help Center's Visibility: Proven Strategies to Increase Article Views

By Christelle Agustin
7 min read.
0 min read . By Christelle Agustin

TL;DR:

  • A Help Center is an article database for customers to get the answers they need without contacting a support team
  • Create relevant Help Center articles by monitoring statistics like customer contact reasons, ticket intents, and CSAT scores
  • Leverage SEO by including relevant keywords and internal links in articles
  • Gorgias Automate can help promote your Help Center articles via on-site article recommendations

The Help Center is more than a database to make the lives of your agents and customers easier. It's also an ingenious way of creating brand awareness. By enhancing your Help Center's visibility, you carve new pathways for shoppers to discover your brand while solidifying your brand's reliability with loyal followers.

This guide delves into practical methods for increasing your article views and turning your Help Center into a dynamic hub with Gorgias. We’ll look at the basics of a Help Center, how to structure it based on statistics and SEO, and how to share it across multiple channels.

What is a Help Center? 

A Help Center is a knowledge database of articles addressing common questions about your products, services, and brand. It empowers customers to find solutions on their own without needing to contact your customer service team. 

A Help Center can include how-to articles, policies, answers to frequently asked questions, and more. Each article can also be supplemented with images, GIFs, and videos to better guide customers toward solutions. 

BrüMate Help Center
BrüMate’s Help Center is made with Gorgias.
         

Two strategies to make your Help Center stand out

Boosting your Help Center's visibility involves two key elements: understanding customer concerns to create relevant content and using SEO to increase article views.

Focusing on your customers' specific needs and questions allows you to provide articles that directly address their concerns. 

Let’s delve into the two strategies you can use with Gorgias.

Strategy 1: Understand customer concerns to create relevant articles

The first step to creating Help Center articles is understanding your customers’ problems. Identifying their concerns ensures your content aligns with what questions need clarification.

Here are five ways to uncover customer concerns with Gorgias Statistics:

1) Monitor Ticket Tags

Tags are labels for categorizing tickets by topic or customer intent. Regularly reviewing tags helps identify common customer inquiries. Generally, the more a tag is used, the greater the need for clarity on that topic. 

On Gorgias, navigate to Statistics -> Ticket Insights -> Tags to see tag usage frequency. This view gives you an overview of popular tags. You can also adjust the view by filtering by app integration, channel, and date range. 

💡 Pro Tip: The most frequently used tags can help inform what articles you should include in your Help Center. Based on the screenshot below, it would be smart to create articles about FAQs and a Price Match policy. 

Tag Statistics
You can view individual Tag statistics on Gorgias.
         

2) View Intent Statistics

Intent Statistics provide valuable insights into why customers contact support. By analyzing these statistics, you can understand the primary reasons behind customer queries. 

On Gorgias, go to Statistics -> Ticket Insights -> Intents to review the usage frequency of different customer intents.

This feature provides a clear bar graph view of customer concerns that are frequently mentioned in messages. You can also change the view using filters such as channel and date range.

Intent Statistics graph
In this example, no replies (cyan) and refund requests (bright red) were the top customer concerns.
         

3) Look into Contact Reasons

Another way to learn about your customers’ concerns is by looking at contact reasons. On Gorgias, Contact Reason is an AI-powered feature that identifies a ticket's contact reason from its message content. Reasons could range from cancellations and refunds to shipment issues and feedback. 

The Contact Reason is conveniently located at the top of each ticket, as shown in the image below.

Contact Reason view on Gorgias

         

4) Analyze low satisfaction scores and read negative feedback

While positive CSAT scores are gratifying, it's the negative feedback that truly helps improve your customer support.

To view Satisfaction scores on Gorgias, navigate to Statistics -> Support Performance -> Satisfaction. This section provides details on surveys sent, response rates, average ratings, and response distribution over three months. 

💡 Pro Tip: For deeper insights into CSAT scores, filter for scores of 3 stars or below. Analyzing lower ratings and their accompanying comments will help you pinpoint the exact topics your Help Center articles should address.

Satisfaction Statistics on Gorgias
Gorgias’s Satisfaction Statistics allows you to filter survey responses by score, channel, tags, and more.
         

5) Create related articles from top-performing articles


         

Checking the performance of your articles can be the key to adding relevant articles to your Help Center while avoiding unnecessary topics.

On Gorgias, you can find individual article performance by going to Statistics -> Help Center -> Performance by articles. Articles are sorted from most viewed to least.

Here’s how to use article performance data to write relevant articles:

  • 📈 Most viewed articles: These articles indicate the topics customers are most concerned about. Consider creating related articles that branch out from these top articles in order to increase information about a certain topic.
  • 📉 Least viewed articles: These articles may be irrelevant to your general customer base, which means you can hold off on writing similar articles. On the other hand, these articles may also not be highly visible on your Help Center. Ensure customers can easily find them.

{{lead-magnet-1}}

Strategy 2: Utilize SEO to increase article views

SEO (Search Engine Optimization) isn't solely for your primary webpages. It's equally crucial for Help Center articles. Using SEO tactics in Help Center articles boosts their online visibility, but most importantly, they allow you to turn visitors into customers.

Here are some effective SEO strategies to apply:

1) Incorporate relevant keywords into articles

Using relevant and related keywords in an article can boost search visibility. Customers won’t always use the same search query, so anticipating their word usage will help capture all types of customers looking for your content.

On Gorgias, you can find out what keywords customers are searching for under Statistics -> Help Center -> Help Center searches

Gorgias Help Center search term statistics
You can view which search terms customers use to find your Help Center articles.
         

Here’s how to leverage search result data:

  • Search terms with results: Use the most popular search terms as a guide for which keywords to include in existing articles.
  • Articles clicked: Sometimes search terms will have zero articles clicked. This may mean users weren’t able to find exactly what they were looking for. Pinpoint the search terms with zero clicks and create articles accordingly.
  • No search results: This is a list of keywords customers search for but don't find relevant articles for. Make sure to use these keywords in existing articles or create new articles for them.

💡 Pro Tip: Don’t forget to incorporate relevant keywords into your article titles, subheadings, and excerpts. There are two benefits to this: they make it easier for customers to quickly scan your content and enhance your brand's discoverability in search engines.

Customize an article
On Gorgias, you can quickly summarize articles in the Excerpt field. Be sure to include relevant keywords here as well.
         

2) Update articles based on article performance

Again, data plays a crucial role in making your support and Help Center the ultimate resources. On Gorgias, the "Performance by articles" section allows you to track how well each article performs. Articles are sorted by view count, ratings, and the dates they were last updated.

Gorgias Help Center article performance statistics
View how well your Help Center articles are performing in Help Center Statistics.
         

Here’s how you can leverage the following types of articles:

  • 📈 Most viewed articles: Feature your top-performing articles front and center in your Help Center to make them visible to customers looking for answers.
  • 👎 Unhelpful articles: Update these articles thumbed down by customers as they may lack detailed and up-to-date information, internal links, and SEO. 
  • ⌛️ Old articles: There may be a relation between poorly performing and outdated articles. Refresh your old articles accordingly.

3) Use internal links

Internal links are hyperlinks that point to other articles in your Help Center, creating a network of related content. This tactic helps to proactively address questions customers might not have considered, effectively reducing the load on your support team. 

Spread the word: share your Help Center articles across multiple platforms

To effectively increase the visibility of your Help Center articles, consider leveraging a variety of communication channels:

  • Customer communications. Embed article links in customer interactions, such as order confirmations or support responses, to provide extra assistance.
  • Email newsletters. Feature links to key articles in your marketing emails and newsletters to notify existing customers about your additional resources.
  • Social media. Share your articles on social media to reach a broader audience and showcase your brand's expertise. You can also share them on forums and online groups to engage with potential customers.

Enhance Help Center performance with Gorgias Automate

Remember, a well-optimized Help Center is a powerful tool in building brand awareness and customer loyalty.

Do more with an AI-powered Help Center with the power of Gorgias Automate. Discover how our advanced tools can streamline your support processes and improve customer satisfaction. Book a demo today.

{{lead-magnet-2}}

No items found.

We Made Our People Resources Public

By Gorgias People Team
3 min read.
0 min read . By Gorgias People Team

TL;DR:

  • Gorgias is committed to transparency and has made its People Resources public
  • Sharing internal resources sets new industry standards for workplace satisfaction and culture
  • Gorgias's People Resources include manager handbooks, training sessions, salary processes, and more
  • Founders, HR leaders, prospective employees, and job seekers can benefit from Gorgias's People Resources

At Gorgias, we're avid believers in transparency. You'll find us documenting processes diligently, asking for feedback frequently, and addressing concerns openly. This may be surprising and even unconventional to most, but after witnessing its long-term benefits on employee satisfaction and engagement, our team is set on continuing the practice.

As a natural next step in our commitment to openness, we decided to make our People Resources available to everyone. These resources include documents and processes that outline how we operate at Gorgias, including how we approach the compensation process, performance reviews, and more. 

We invite you to delve into our resources, whether you’re a founder or a job seeker.

Why we're sharing our People Resources

Our decision to share our People Resources is driven by a vision that sets new standards for transparency in evolving corporate practices.

How Gorgias benefits

By opening up our resources to the public, Gorgias positions itself as an innovator and thought leader in the industry. Allowing our processes to be read and critiqued by others outside of the company gives way to perspectives we may not have considered.

We view our People Resources as living documents and as we drive discussions about transparent work culture, the opinions and critiques of others will be a constant source of value for us to continue improving our processes.

How other organizations benefit

For other organizations, accessing Gorgias' People Resources serves as a blueprint for building a positive and engaging workplace. By publicizing our processes, we hope to guide companies to create safer and more honest work environments, which in turn will improve employee satisfaction globally.

What's inside Gorgias’s People Resources

Our People Resources encompass a wide range of materials, including documents, processes, and additional resources. Here's what you'll find:

  • Manager handbooks: Comprehensive guides about what a manager is at Gorgias and how they can lead teams with confidence and empathy.
  • Training sessions: Detailed modules for leaders that combine theory and practice with roleplay.
  • Career growth tracks: Clear pathways for personal and professional development within the company.
  • Salary and compensation process: A transparent outline of how we recognize and reward our team members.
  • Team well-being: Resources dedicated to maintaining a healthy and supportive work environment.

Read more: Why we don't increase salaries each year based on performance

Who can benefit from our People Resources?

Our People Resources are designed with a wide audience in mind, ensuring that anyone interested in building a positive team environment can find value. Here's who can benefit:

  • Founders: Learn strategies for building a strong foundation for your team.
  • HR leaders: Gain insights into effective team management, development processes, and how to cultivate a thriving workplace culture.
  • Prospective employees: Meet the team and get a sneak peek into what working with Gorgias is like.
  • Job seekers: Whether you're considering a role with us or elsewhere, our resources can help you understand what to look for in a company's culture and philosophies.

Where to access our People Resources

You can find our public People Resources on Notion.

If you're inspired by what you see and want to join our growing team, we invite you to check out our current job openings.

We look forward to welcoming you to Gorgias, where we will continue building a transparent and innovative workplace.

How To Leverage Automation For More Personalized Customer Interactions

By Christelle Agustin
6 min read.
0 min read . By Christelle Agustin

TL;DR:

  • Automation can be customized to fit the language, tone, and voice of your brand.
  • Combine automation with ecommerce app integrations to personalize messages at scale.
  • Use a customer helpdesk trained on AI to automate personalized customer service.
  • Disclose when automated messages are used to maintain customer trust.

While there’s a common concern that automation might alienate customers with responses that miss the mark, it turns out that 73% of customers have higher expectations for personalized experiences when advanced tech is involved.

Not only do customers expect automation and AI in customer service, but they also believe that brands should make the most out of them.

Luckily, helpdesk tools like Gorgias have found the right balance between automation, personalization, and human touch. The only thing left for CX agents to do is to use automation strategically.

{{lead-magnet-1}}

Automation is not AI & other automation myths debunked

Automation and AI are distinct, just like live chat versus chatbots. AI, such as ChatGPT, evolves in real-time from interacting with and learning from input data, while automation follows set rules for routine tasks without understanding natural language.

Automation is highly customizable — it won’t spew out an inappropriate sentence unless you tell it to. If you’re still hesitant about automating your support, here are four automation myths debunked below.

Myth 1: Automation produces robotic language

The tone and style of your automated messages are entirely within your control, thanks to the customizable nature of automation. This flexibility ensures that your brand's unique voice shines through, allowing for a tailored approach that aligns with your ecommerce strategy.

If we’re talking about AI, we’ve also come a long way from generic chatbot responses. In fact, a 2019 Stanford University report found that AI computational power doubled every 3.4 months. The result? Humans are only correct 60% of the time when guessing if they’re talking to AI or a real person.

Myth 2: Automation can’t be personalized

In reality, automation is highly adaptable and can incorporate customer data, brand voice, and plenty of dynamic variables to create powerful communications for personalized customer service.

Learn more: How Manduka used personalized, on-site campaigns and earned $70k

Myth 3: Automation can replace human agents

While automation enhances efficiency, it works best in tandem with human insight rather than as a complete replacement for human agents. Customer service thrives when there is a route back to human support.

Myth 4: Customers prefer human agents

Yes, customers appreciate the ease of connecting to a fellow human, but they also value speed — something automation excels at compared to humans.

Learn more: How Luksusbaby boosted 66% first response time with 45% automation

The balancing act of using automation effectively without sacrificing personalization

A customer-centric helpdesk trained on AI is the most effective way to have rapid and authentic customer interactions. A tool like Gorgias enables you to scale your customer service operations by connecting your ecommerce store. Gorgias learns customer conversations and data and automates simple processes like responding to repetitive tickets and refunding orders.

How to use automation the right way to support your customers

To effectively implement customer service automation, always remember to add a human touch to make customers feel comfortable. More importantly, not all customer interactions are suitable for automated responses so automate strategically.

Here are five ways to implement personalized automation with Gorgias, from automating responses to using website chat and creating a help center.

1) Create auto-responses to answer FAQs

Skip the mental work of reading a frequently asked question and thinking of a response. Auto-responses will do both for you in the background while you complete other high-priority tasks.

How to implement:

  • Set up a rule to auto-respond to where is my order? (WISMO) tickets

Note: Manually follow up on complaints or technical issues. Using auto-responses on these sensitive issues may escalate them and cause more customer frustration.

Overview of Gorgias Autoresponders
There are autoresponders for auto-tagging VIP customers, auto-sending tracking emails, article recommendations, and more in Gorgias.
         

2) Route customers to live chat agents or help center articles

AI is excellent at answering simple inquiries, but sometimes customers will ask questions that need a human’s problem-solving skills. Include a route to a live agent to address this. Allowing AI and agents to work in tandem is an effective way to improve customer satisfaction.

How to implement: 

  • Enable live chat support alongside automated, offline chat 
  • Include disclaimers and instructions in your automated responses about how customers can speak to a live agent
  • Include an option to talk to an agent in your interactive voice response (IVR) system

Note: Don’t trick customers into thinking they’re speaking to an agent when they’re speaking to AI. Customers are more likely to trust you when you set clear expectations from the start.

Shinesty uses Gorgias Chat
Shinesty provides live chat alongside automated Quick Responses.
         

3) Use enriched customer data to deliver personalized messages

Make personalization a part of the customer journey to create friendly experiences on a large scale. Without tailored communications, you’ll likely frustrate 76% of your customers due to irrelevant recommendations and marketing campaigns.

How to implement:

  • Include customers’ names in emails, SMS, chat, social media direct messages, and other notifications with a Shopify integration
  • Mention past purchases when providing customers with new recommendations
  • Adjust language in automated emails and email marketing based on customer demographic
Gorgias Chat supports 15 languages.
Gorgias Chat supports 15 languages, including English, French, Spanish, Danish, Swedish, Italian, Dutch, German, Norwegian, Czech, Brazilian Portuguese, Japanese, and Finnish.
         

4) Prioritize VIP customers with automated rules

According to a survey of 3,000 consumers, 56% would repurchase from a retailer that provides personalization. For this reason, create an automated action, also known as a rule, that labels tickets from VIP customers. Prioritizing VIP needs will allow your team to strengthen loyalty and drive repeat purchases.

How to implement: 

  • Identify VIP customers by setting a minimum purchase total or total # of orders
  • Create a rule that identifies tickets from VIP customers based on their customer profile
Gorgias integrates with Yotpo
Quickly find out if your customer is a VIP customer with integrations to Yotpo, Shopify, Big Commerce, and WooCommerce.
         

5) Build a help center to provide article recommendations

The responsiveness of AI depends on the knowledge you feed it. To accelerate automation’s efficiency, provide it with resources from your knowledge base or help center. In 2020, organizations reported a reduction of up to 70% in call, chat, and email inquiries after implementing a chatbot or virtual customer assistant. 

How to implement:

  • Compile a list of customers’ most frequently asked questions using an AI tool or help center statistics
  • Create articles answering each question and upload them into a help center
BrüMate’s Help Center is made with Gorgias
BrüMate’s Help Center is organized into categories so users can easily find answers.
         

Read more: 9 types of customer self-service

Balance automation and the human touch with Gorgias Automate

Setting up automation without the right tools can detract from personalization efforts. Gorgias Automate remedies this by equipping CX teams with features like Autoresponders, self-service Order Management,  Quick Responses in Chat, and Article Recommendations. Elevate customer experiences and grow your customer relationships by booking a demo with Gorgias today.

{{lead-magnet-2}}

No items found.

The Expert Tips We Learned from the CX All-Star: Episode 1 Webinar

By Christelle Agustin
4 min read.
0 min read . By Christelle Agustin

Last September, Gorgias hosted CX-All Star: Episode 1, a webinar presented by a superstar panel of customer experience leaders in the DTC industry. From the health and wellness space to the tech sphere, experts Eli Weiss, Amanda Kwasniewicz, Deja Jefferson, and Ren Fuller-Wasserman gathered years of experience and wasted no time sharing their top strategies, tips, and a-ha moments with fellow attendees.

One hour wasn't long enough to reveal all their expert tricks, but it was definitely enough to help fellow CXers rethink their strategy. If you weren't able to attend the event, these were the top four lessons we learned from CX All-Star: Episode 1.

1) Make CX the core of your business if it isn't already

Amanda Kwasniewicz, the VP of Customer Experience at ‎Love Wellness, emphasizes how CX should be the core of any business. "[CX] has a finger on the pulse of everything we do, whether we're just on the receiving end or whether we're executing it."

To emphasize CX's far-reaching impact, Amanda introduced a company-wide policy where every new employee spends six weeks working directly with support tickets and customers. This immersive approach to CX was so successful that non-CX team members, from marketing to finance, were able to help the CX team during a hectic inbox day when Love Wellness migrated platforms.

‎Read more: Why customer service is important, according to a VP of CX

"I think CX is often viewed as a call center, a revenue driver—and we're missing the core part that it's a feedback machine. It's like a feedback treasure trove. So, if you can think about it as all three of those things, that's what it is. It really is about the experience."
—Amanda Kwasniewicz, VP of Customer Experience at Love Wellness

2) The best CX hires are empathetic and eager to learn

"Brands are either notoriously anti-having a big CX team, or they're very straightforward. Either one of those extremes is dangerous," says Eli Weiss, VP of Retention Advocacy at Yotpo. The balance lies in building a team of passionate learners willing to grow.

Our experts agree that product knowledge can be taught through training, but soft skills like empathy, creativity, and passion are intrinsic. Eli notes that asking questions like "Why CX?" helps determine if a candidate will stick around. Amanda notes these team members often become superstar hires for other departments because of the breadth of their knowledge and skills.

Related: Hiring for customer service

“[LinkedIn] is how I've gotten a lot of people early on. I just looked at brands that crush it and said, 'Stay exactly where you are. I just need 2 hours.' Those 2 hours will usually give you what you as a founder can do in six, because somebody that's doing it all day is probably really good at figuring out how to put a move on it.”
—Eli Weiss, VP of Retention Advocacy at Yotpo

3) Acknowledge different learning styles in your onboarding process

"If people can understand and learn the product they're selling and they can educate the customer, I think that's really valuable," says Deja Jefferson, Manager of Customer Insights at skincare brand Topicals. That's why she takes a diverse approach to product knowledge onboarding.

At Topicals, new hires don't only have to pore over lengthy documents to learn about skincare products. They get their hands dirty by speaking to experts in the product team, reading cheat sheets, and talking to customers about personal skin concerns. This multifaceted strategy is inclusive to all types of learners and leads to agents becoming true experts.

Read more: Customer service training: what to cover + how to do it

"People who are passionate about what they're doing and about helping customers [will] figure out the rest."
—Deja Jefferson, Customer Insights Manager at Topicals

4) When necessary, break the script to create mensch moments

Ren Fuller-Wasserman, Head of Customer Experience at bidet brand TUSHY, empowers her team to go above standard protocols to create memorable or, as her team calls it, mensch (Yiddish for a person of integrity) moments. These are exceptional CX moments that can't be found in the onboarding manual, things like sending handwritten notes, personalized texts, and replacing items without question.

However, as with all things, it's also valuable to understand that mistakes happen. Ren likens the trial-and-error nature of customer experience to building a plane as it's being flown — it won't be perfect. She notes that protocols are important guidelines, but it's also worthwhile to allow your team to be mensch and decide, where do I need to follow the protocols here?

"There are incredible opportunities to make moments that matter, but only if your team has the agency to do so."
—Ren Fuller-Wasserman, Head of Customer Experience at TUSHY

{{lead-magnet-1}}

Chatbot vs Live Chat

Chatbot vs. Live Chat Software: What's the Right Solution?

By Lauren Strapagiel
13 min read.
0 min read . By Lauren Strapagiel

Imagine leaving your angriest customers to spar with an automated script in your website’s chat window. Now picture your support team reading “Where is my order?” for the hundredth time and glancing at the clock, only to find six hours left in the workday. 

Who do you think is more frustrated?

Luckily, you won’t have to answer that, because these are completely avoidable problems. Once you learn the important distinctions between chatbot software and live chat software, you’ll understand how to use them both more effectively and lower blood pressures across the board.

Chatbots rely completely on automation and artificial intelligence (AI) while live chat software connects customers with human agents via a real-time chatbox. A third option, self-service chat, is an appealing alternative.

To determine which solution(s) is best for your business, let’s compare chatbots and live chat software and go through the top use cases for each.

What is live chat software?

Live chat support connects customers with human support agents who can answer their questions and assist them with any issues. When a customer opens the chat box on a live chat support solution, they are connected with a real person from the company's customer support department. 

Support agents then use live chat messaging to address customer inquiries and walk customers through the solution to their problem. 

Interested in getting live chat software? Check out one of these lists for tailored recommendations:

Pros and cons of live chat

Pros:

  • Live agents have the knowledge base to answer complex queries and customer issues 
  • 73% of customers state that live chat is the most satisfactory form of customer communication with a company
  • Enables multitasking for support agents so they can assist multiple customers at the same time
  • The personalized touch of a real human can go a long way toward improving your customer satisfaction
  • Support agents can find opportunities to convert visitors or turn support interactions into additional sales 

Cons:

  • Not available after-hours when your customer team is off the clock
  • More expensive to employ agents to respond to chats
  • Responses will be slowed down by high volume which impacts resolution times
  • Much of your agents’ time will be spent answering the same simple questions over and over

{{lead-magnet-1}}

What is the difference between chatbots vs. live chat?

Unlike live chat software, chatbot software doesn’t connect customers with human agents. Instead, chatbot software connects customers with a chatbot that utilizes AI and machine learning to provide natural language answers to common questions. 

Automation assists customers with less complex issues and provides quick answers. Chatbot technology enables companies to reduce their average response time, and frees up support agents to focus on more complex queries.  

Pros and cons of chat bots

Pros:

  • The ability to answer questions 24/7 without paying for agents to work around the clock. According to a survey by Drift, 64% of customers say that 24/7 service is the best feature of chatbots. 
  • Chatbots offer instant responses to common questions like pricing inquiries, improving customer experience with quick resolutions to common issues
  • Chatbot solutions are a highly cost-effective option, as they allow companies to resolve more customer issues without having to hire new customer support reps
  • By answering commonly asked questions and resolving simple issues, chatbot solutions can free up support agents to focus on more complex questions

Cons:

  • Chatbots can’t handle complex inquiries requiring human intervention
  • Automated responses are a colder, less human form of communication, which can impact customer satisfaction
  • No opportunity for agents to elevate an inquiry into an exemplary customer experience, such as offering personalized live chat offers
  • Customers will become frustrated if the chatbot can’t properly answer their questions or solve an issue

{{lead-magnet-2}}

Live chat vs. chatbots: Evaluating their strengths to help you choose the right one (or both)

When comparing chatbots with live chat solutions, it's important to recognize that each category offers its own unique advantages. Many companies choose to employ both live chat and chatbot apps on their ecommerce websites. 

With that in mind, let's explore the strengths of each solution.

Response times and customer expectations 

One of the biggest advantages of chatbot solutions is the fact that they allow for immediate responses to customer inquiries. Live chat solutions can also help companies reduce their wait times, though not to the same degree. 

Chatbot advantage: Answers are immediate

According to data from HubSpot, 90% of customers rate an "immediate" response as important or very important when contacting customer service, with 60% of customers defining "immediate" as 10 minutes or less. 

With a chatbot app, offering immediate response times to customer queries is a much more attainable goal. Best of all, these immediate response times are a 24/7 offering for customers, whereas live chat agents may not always be on the clock. 

Live chat advantage: Solve complex issues

The problem with relying solely on chatbots to reduce customer wait times is the fact that even the best and most intelligent chatbots are often unable to resolve complex issues. Chatbots are excellent at pulling information from internal databases to answer common questions, such as providing the status of a customer's order or editing it.

But for uncommon questions or complex issues, a chatbot alone may not be sufficient. Because they can only handle one thing at a time, it can take forever before you get all of your questions resolved.

Solution: Use both chatbots and live chat

Many companies use chatbots alongside live chat support. This allows businesses to offer both immediate responses, as well as more in-depth support for complex issues. 

For example, a customer may first be connected with a chatbot that provides instant responses to their query and assists with gathering initial information. If the chatbot determines the customer's question or issue is too complex to resolve, the customer is then connected to a support agent via live chat. 

This combination is an ideal solution for many companies, allowing them to quickly resolve common issues without the need for a live chat agent. At the same time, customers have the option to speak with a real person in cases where assistance from a chatbot alone isn’t sufficient. 

Human touch and personalization needs 

While chatbot apps can help reduce customer service wait times and the number of customer service reps needed, many customers prefer speaking with a person. 

Live chat advantage: The human touch

A CGS study found that 86% of customers would rather interact with a human agent than a chatbot. Further, 71% of customers say that they would be less likely to purchase from a brand that did not have real customer service representatives available. 

Chatbot advantage: AI learning

Chatbots have come a long way toward replicating natural language and determining customer intent for better customer engagement. Today, the best chatbot applications can come quite close to sounding like actual human beings. 

Chatbots leverage AI and machine learning to deliver personalized responses, as opposed to only “canned” responses, and can better serve your customers. 

Solution: Use both chatbots and live chat

Even the most advanced chatbots still fall short of a live representative when it comes to delivering a personalized, human touch. They’re also lacking when it comes to handling more complex questions or customer issues. 

Once again, a combination of automation and live chat support is typically the best approach. 

Live chat conversion and sales.

       

Consistency and accuracy

Chatbots and live chat applications have unique advantages when it comes to delivering consistent and accurate responses to customer queries. 

Chatbot advantage: Consistency

Chatbots are excellent at delivering consistent, on-brand messaging. They can be programmed to systematically follow templates or scripts to provide a consistent customer service experience. 

When working with human customer support agents, this high degree of consistency can be a little more difficult to achieve. 

Live chat advantage: Accuracy

While live chat support may not offer the same consistency as chatbots, human support agents do tend to be more accurate when determining the intent of the customer they are assisting. 

For example, a simple spelling error can sometimes confuse chatbots, whereas a human customer support agent would be much more likely to look past the error and correctly figure out what the customer needs. 

A human agent is also much more likely than a chatbot to accurately interpret questions that are worded strangely. 

Solution: Use both chatbots and live chat

For companies that are choosing between chatbots and live chat support, it’s a question of whether they’d like to prioritize consistency or accuracy. This is yet another reason why a combination of chatbots and live chat support is often the best solution.

More chat features to provide self-service support without the bots

Many of the issues your website visitors have with bad chatbots involve their mimicry of support from real people. It’s easy to tell when you’re chatting with a robot, but it’s not always made clear to you by the chat widget.

But there’s a third chat option that you should consider in addition to live chat and chatbot software.

Self-service chat options make it clear to your customers that they are receiving automated help. By presenting menus instead of imitating a human conversation, self-service customer support empowers customers to find the answers they need on their own.

It’s a win-win, because the customers get the answers they need in real time, at any hour. And your team can focus on support tickets that are more important to the business.

Here are a few ways self-service chat options can work.

Self-service order management

Up to 30% of incoming customer service tickets are shipping status requests. With self-service order management in the chat widget, customers are empowered to make these queries on their own — providing fast answers and reducing your support tickets.

These automated options are easy to add with Gorgias. This self-service adds buttons to the chat widget to automatically:

  • Track an order
  • Return an order
  • Cancel an order

Quick service with chat automation provides quick, responsive customer service, which means better customer experience and a positive impact on revenue.

Barcelona-based shoe brand ALOHAS added self-service order management flows with Gorgias after experiencing a high chat volume. This allowed customers to find information on their own without a human needing to respond.

Here’s how a “track order” request looks in action:

Order management in live chat.
ALOHAS
         

Quick answer flows

When using a chat widget, you’ll notice the same questions come up again and again. You can satisfy those FAQs by adding quick answer flows into the chat widget.

These automations can be set up in the widget for questions like:

  • What is your shipping policy?
  • Are there any discounts available?
  • Do you have any new products?
  • What materials do you use?

These automations can be customized for whatever FAQs are most relevant to your ecommerce store.

Here’s how it looks, for example, when an ALOHAS customer wants to find out more about the brand’s shipping policy.

Quick Response Flows in chat widget.

         

Luxury jewelry brand Jaxxon has used these self-service quick responses with great success. The customer service team found themselves overwhelmed with customer questions and unable to respond as quickly as desired.

Jaxxon upgraded their live chat widget with Gorgias Automate with Quick Responses for customers. The result, combined with using Gorgias’ helpdesk, reduced live chat volume by 17% and lifted the on-site conversion rate by 6%.

Self-service in chat.
Jaxxon
         

Autoresponders

Even when a customer chooses to type out a question, automation can be used to provide quick, customized service through the chat widget.

Gorgias can detect questions that come in through chat and provide automatic answers using Rules and Macros.

Here’s how the flow works:

  1. Intact detection scans the incoming message.
  2. Rules is triggered when a relevant message is found (such as some asking about where their order us) is responds to the customer.
  3. Macros is where you create the templated response sent to the customer. The Macro can be set up to pull in a customer’s unique information like order number, their name, and their tracking code.

The best part is this can not only be used for chat, but for responses to tickets coming in through other communication channels like email, social media, and SMS.

Keep customer service running 24/7

With Gorgias, you can make sure your chat widget isn’t missing a single ticket, even if your customer support team is offline.

First, you can set up your business hours to correspond with when you have live chat available. This will show up on your site’s chat widget by either showing the current status as online or offline.

From there, you can create automated responses for whether you’re offline or online. During business hours, this message can tell customers you’ve received their request and give a time by which they can expect a response.

After business hours, the responder can tell customers that although you’re offline, they can expect a response during the next day’s business hours via email.

Offline mode in live chat for follow-ups.
Absolute Collagen
         

You can also use a contact form which turns a chat into an emailed ticket. This is great to use after-hours and to make sure chat requests don’t get lost overnight. 

Combine automation and human interaction for the strongest customer experience

The use of automation within customer service is multifaceted. As we discussed earlier, a human touch is critical for many customers, and speaking with an automated chatbot can be a turn-off. However, automation certainly has its place in the customer service process.

On the customer’s side, starting with self-service chat helps them receive quicker customer support at scale — a more satisfying experience. On your team’s side, automation allows for sorting, segmenting, and prioritizing tickets.

When self-service chat can’t solve an issue, someone from your support team can easily step into the conversation. You can use Macros — scripts that automatically bring in the customer’s information — to scale the human touch on your support team.

So in reality, it’s not automation vs human support. These are two complementary tools that work better together. And the result is a stronger and faster customer experience for your website visitors, which can increase your conversion rate by as much as 12%.

Still not convinced? In 2021, brands using the Gorgias chat widget generated an average of $38,702 from conversations involving chat. We have a whole post on live chat statistics that can help illustrate the impact our chat widget can have on your business.

Gorgias brings intuitive live chat to your ecommerce business, alongside your other channels

If you’re an ecommerce business looking for an all-in-one customer support solution that includes live chat support and AI-powered chatbots, Gorgias is your one-stop shop. 

Our algorithms are trained on hundreds of millions of ecommerce tickets, so you can be sure your customers are getting the right responses every time. 

Plus, you can manage both live chat and chatbot conversations in the same dashboard that you use for all your other channels, including phone, email and major social media platforms. Bring in chat from other channels, including Facebook Messenger. We’ll even be supporting Whatsapp in early 2023.

Our customer support platform is available for Magento, Shopify, and BigCommerce users.

Read more about our chat offerings by clicking here.

Building delightful customer interactions starts in your inbox

Registered! Get excited, some awesome content is on the way! 📨
Oops! Something went wrong while submitting the form.
A hand holds an envelope that has a webpage coming out of it next to stars and other webpages