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

Conversational Commerce Strategy

AI in CX Webinar Recap: Building a Conversational Commerce Strategy that Converts

By Gabrielle Policella
min read.
0 min read . By Gabrielle Policella

TL;DR:

  • Implement quickly and optimize continuously. Cornbread's rollout was three phases: audit knowledge base, launch, then refine. Stacy conducts biweekly audits and provides daily AI feedback to ensure responses are accurate and on-brand.
  • Simplify your knowledge base language. Before BFCM, Stacy rephrased all guidance documentation to be concise and straightforward so Shopping Assistant could deliver information quickly without confusion.
  • Use proactive suggested questions. Most of Cornbread's Shopping Assistant engagement comes from Suggested Product Questions that anticipate customer needs before they even ask.
  • Treat AI as another team member. Make sure the tone and language AI uses match what human agents would say to maintain consistent customer relationships.
  • Free up agents for high-value work. With AI handling straightforward inquiries, Cornbread's CX team expanded into social media support, launched a retail pop-up shop, and has more time for relationship-building phone calls.

Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.

Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse. 

In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.

Top learnings from Cornbread's conversational commerce strategy

1. Customer education drives conversions in wellness

Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.

Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:

"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."

The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.

What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.

2. Shopping Assistant provides education that never sleeps

Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:

"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."

A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.

The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:

"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."

Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.

3. Implementation follows a clear three-phase approach

One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.

"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate." 

Here's Cornbread’s three-phase approach:

  1. Preparation. Before launching, Cornbread conducted a comprehensive audit of their knowledge base to ensure accuracy and completeness. This groundwork is critical because your AI is only as good as the information it has access to.
  2. Launch and training. After going live, the team met weekly with their Gorgias representative for three to four weeks. They analyzed engagements, reviewed tickets, and provided extensive AI feedback to teach Shopping Assistant which responses were appropriate and how to pull from the knowledge base effectively.
  3. Ongoing optimization. Now, Stacy conducts audits biweekly and continuously updates the knowledge base with new products, promotions, and internal changes. She also provides daily AI feedback, ensuring responses stay accurate and on-brand.

Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.

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

4. Simple, concise language converts better

Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.

Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand. 

"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.

Katherine adds another crucial element: tone consistency.

"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."

As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.

Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.

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

5. Black Friday results proved the strategy works under pressure

The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.

Over the peak season, Cornbread saw: 

  • Shopping Assistant conversion rate jumped from a 20% baseline to 30% during BFCM
  • First response time dropped from over two minutes in 2024 to just 21 seconds in 2025
  • Attributed revenue grew by 75%
  • Tickets doubled, but AI handled 400% more tickets compared to the previous year
  • CSAT scores stayed exactly in line with the previous year, despite the massive volume increase

Katherine breaks down what made the difference:

"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."

During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.

Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.

6. Strategic work replaces reactive tasks

One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.

With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.

Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."

That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.

Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."

Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.

7. Continuous optimization for January and beyond

Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.

Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.

Build your conversational commerce strategy now

The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.

Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.

As Katherine puts it:

"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."

Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers. 

{{lead-magnet-1}}

2025 ecommerce trends

2025 Ecommerce Trends: AI Adoption and Smarter Tech Stacks

By Gabrielle Policella
min read.
0 min read . By Gabrielle Policella

TL;DR

  • Ecommerce teams are overwhelmed by app overload, with 42% using six tools daily—leading to inefficiencies, rising costs, and poor customer experiences.
  • Top brands are consolidating their tech stacks, choosing deeply integrated, ecommerce-specific platforms to simplify operations and lower costs.
  • AI adoption and excitement are accelerating, with 77.2% of ecommerce professionals using AI daily and 55.3% rating their excitement as an 8-10 out of 10. 
  • Gorgias powers AI-driven support and sales in one platform, through a single workspace that helps ecommerce teams resolve faster, sell smarter, and operate more efficiently.

At Gorgias, we work with over 16,000 ecommerce brands and one common challenge emerges over and over:

Ecommerce tools are essential, but too many tools becomes a burden.

With different teams responsible for different functions, brands risk creating a disconnected tech stack that causes inefficiencies, reduces productivity, and ultimately impacts profitability. 

Ecommerce teams are shuffling between tabs, copying and pasting order numbers, searching for customer data, and trying to piece it all together. It’s not only inefficient—it’s expensive, frustrating, and unsustainable as you scale. 

So we dug into that data. 

Our 2025 Ecommerce Trends Report surveyed ecommerce professionals across industries and job roles to understand  what they really think about tech stacks and AI’s role in it. 

{{lead-magnet-1}}

Ecommerce professionals are approaching app overload 

There is now an ecommerce app for every possible use case a brand could need. But as businesses adopt new technologies for each part of their customer journey, their teams end up working out of dozens of platforms. 

The study found that 42.28% of ecommerce pros use at least six apps daily to perform their role. Regardless of the number of apps used, integration and compatibility are a must. When technologies don’t talk to each other, you spend time context-switching instead of focusing on customer experience.

42.28% of users rely on at least six ecommerce apps daily to do their job.

For Audien Hearing, Gorgias’s open API allowed them to create an integration with its warehouse software to manage returns directly in Gorgias rather than a shared Google spreadsheet. This integration helped them reduce returns by 5%, protecting their margins and leading to higher customer satisfaction. 

Read more: How Audien Hearing Increased Efficiency for 75 Agents and Reduced Product Returns by 5%

Consolidation is the smartest move a brand can make

The most successful ecommerce brands aren’t necessarily using more tools—they’re using smarter tools. Leading businesses are opting for platforms that are deeply integrated, AI-compatible, and built specifically for ecommerce needs. 

A growing tech stack also comes with a growing tech budget. Each new app has new costs, including subscriptions, set-up, management, and development fees. They quickly add up. 

Nearly 40% of ecommerce professionals spend $5,000 to $50,000 annually on their tech stack. 

38.84% of ecommerce brands spend $5,000 to $50,000 annually on their tech stack; 20.33% spend $50,000 to $250,000.

Different roles have different priorities

We asked ecommerce professionals what they actually value in their tools. Unsurprisingly, the answer changed based on who we were talking to. 

Top tool benefits included:

  • Revenue growth for support leaders, revenue-focused roles, and founders
  • Simplified workflows and time savings for support agents 

There’s a clear difference between what ecommerce leaders and agents value in a tool and considering both is key to success. 

30.9% of respondents consider revenue growth the top factor when evaluating a tool’s usefulness.

Why brands hesitate to consolidate 

Despite the benefits of using fewer, well-integrated tools, there are a few things that hold brands back from consolidating their tech stacks. 

We asked respondents: 

What, if any, are the biggest deterrents to consolidating your tech stack? 

Top concerns are: 

  1. Compatibility issues with existing software (52.4%)
  2. Direct costs (fees for software licenses, subscriptions, or customizations) (47.6%)
  3. Time required (40.3%) 
Top deterrents to tech stack consolidation: compatibility issues (52.4%), direct costs (47.6%), and time required (40.3%).

AI adoption is accelerating—and it’s driving results 

AI is dominating the world of ecommerce. It impacts every aspect of the customer journey, from brand discovery to the post-purchase experience. AI is actively reshaping the way ecommerce professionals work, so we wanted to know how they feel about it. 

  • 77.2% of ecommerce professionals use AI and automation to perform their role in 2025, compared to 69.3% in 2024. 
  • 55.3% of respondents rate their excitement for AI as an 8-10, compared to 45.6% in 2024. 

Despite growing usage and excitement, teams still have their concerns with AI: 

In 2025, top concerns about AI in ecommerce are: not resolving questions (41.5%), causing frustration (16.3%), lack of personalization (15.4%), and no concerns at all (13.8%).

Read more: 8 AI Trends in Ecommerce: What’s Changing and How to Prepare

The AI shift—From just a support tool to a sales engine 

The most impactful use cases we’ve seen aren’t just about reducing support ticket volume. AI is now driving revenue, increasing conversion rates, and enabling 24/7 coverage without expanding headcount.

Gorgias’s AI Agent is now capable of virtual sales assistance through personalized product recommendations, dynamic discounts to reduce cart abandonment, and cross-sells and upsells. 

Top brands are already leveraging these new capabilities and seeing results. For example:

  • TUSHY uses a Gorgias AI Agent to accurately answer pre-sale questions, leading to a 15% conversion rate, with AI Agent driving 2x more sales than human agents.
  • Trove Brands enabled an AI Agent named Wally that cut misshipments by 70%, meaning reducing unwanted charges, avoidable fulfillment costs, high return rates, and customer frustration. 
  • Caitlyn Minimalist uses AI to reduce response times by 99% and saw a 150% increase in ticket conversions.

Gorgias: A one-tab tool for Conversational AI

We asked one final question to make ecommerce folks really reflect on how they work:

How many tabs do you currently have open?  

The average ecommerce professional works with 22 open tabs. We’re not here to judge, but if you’re looking to close a few of those tabs, Gorgias might be what you’re missing. 

Gorgias replaces all that complexity with a single workspace. From support to sales, order management to automation, it all happens inside one platform.

Ecommerce businesses can now leverage Gorgias’s Advanced AI for both support and sales. Within the same AI Agent, ecommerce brands can

  • Fully resolve customer inquiries, not just respond
  • Provide order tracking details
  • Cancel, edit, and manage orders in Shopify and integrated apps
  • Process returns and exchanges
  • Provide tailored product recommendations
  • Drive conversions
  • And much more! 

Get your copy of the 2025 Ecommerce Trends Report

This blog just skims the surface of what we uncover in our 2025 Ecommerce Trends report.

Want the full story?

Download the complete 2025 Ecommerce Trends: AI Adoption & Smarter Tech Stacks report to access:

  • Data-backed insights and trends from ecommerce professionals 
  • The biggest barriers to consolidation—and how to overcome them
  • Real-world case studies from leading brands like TUSHY, Caitlyn Minimalist, and July that are winning with AI
  • Tactical recommendations to future-proof your ecommerce stack through AI-powered consolidation

{{lead-magnet-1}}

Convert Holiday Campaigns

5 Holiday Onsite Campaigns to Maximize Year-End Sales

By Matilda Lee
4 min read.
0 min read . By Matilda Lee

Not sure where to go once the Black Friday and Cyber Monday excitement settles down? Don't worry—you're not alone. Many ecommerce brands will celebrate the uplift in sales from the four-day shopping frenzy without realizing there's a huge opportunity to keep the momentum going.

The holiday shopping season is your final  chance to drive sales, delight customers, and end the year strong. These five proven campaigns will help you capture last-minute shoppers, increase repeat purchases, and maximize  results.

1. Gift finder campaign: make gifting easy 🎁

Help shoppers find the perfect gift or gift bundle by linking existing resources in the campaign or offering pre-sales assistance through a conversational campaign (recommended).

Shoppers love personalized recommendations. A gift finder campaign highlights curated suggestions that simplify their decision-making.

  • How it works: Trigger a message when shoppers spend over 15 seconds on a product page.
  • Example message: “Looking for the perfect gift? This [product] is a fan favorite and pairs perfectly with [accessory]. Complete your gift with just one click!”  OR;
  • Example message #2:Not sure what to get? We can help! Click here to chat with us about finding the perfect gift.”
  • Why it works: Gift bundles increase average order value (AOV) by 20%.

Pro tip: Highlight top-rated products or seasonal bestsellers to build trust.

A campaign message that says, "Need help finding the perfect gift? Chat with us to find the ideal match."

2. Last-minute shopper campaign: create urgency ⏰

Encourage quick action as deadlines approach.

Last-minute shoppers are in a rush, so  combining urgency with a discount is the perfect motivator.

  • How it works: Use an exit-intent popup during the final shopping days.
  • Example message: “Still need gifts? Use code HOLIDAY10 for 10% off and get delivery by [date]. Hurry—time is running out!”
  • Why it works: Exit-intent campaigns double engagement and reduce bounce rates by 37%.

Pro tip: ”You can also set a cart value threshold, ensuring that tailored offers are only provided to shoppers once they’ve added the minimum to their cart. You can also use a unique discount code rather than a generic code to drive a higher CTR.

A campaign message that says, "Special for you! Use your unique code at checkout to enjoy an exclusive discount."

3. Post-BFCM re-engagement campaign: boost loyalty 🔄

Turn Black Friday shoppers into repeat customers.

Reconnect with returning buyers by rewarding them for their loyalty.

  • How it works: Display a personalized offer when previous shoppers return to your site.
  • Example message: “Thanks for shopping with us on Black Friday! Here’s an exclusive 15% loyalty discount for your next holiday purchase.”
  • Why it works: Repeat customers typically spend more, with a 10% boost in gross merchandise value (GMV).

Pro tip: Use the customer’s previous purchase to recommend complementary products.

A campaign message that says, "Welcome back! Enjoy 15% off your next holiday purchase with code HOLIDAY15. Thanks for shopping with us!"

4. AI-powered product recommendation: upsell effortlessly 🤖

Suggest relevant items to increase cart value.

Use AI to offer personalized product recommendations based on what shoppers are browsing or have in their cart.

  • How it works: Show a message at checkout or when shoppers add an item to their cart, utilizing our tagging conditions to create highly targeted audience segments.
  • Example message:“Love [product]? Add [related item] to complete the set! Customers who bought this also loved [product 2].”
  • Why it works: Personalized upsell recommendations increase AOV by up to 15%.

Pro tip: Highlight frequently bought together items or exclusive bundles for the holidays.

A GIF of an on-site campaign recommending curated products. There is a rotating carousel of related skincare products.

You can easily set up product recommendations shown on your cart page with Gorgias Convert:

A screenshot of Gorgias's UI showing how to set up an engagement campaign on the cart page. It shows a user drafting copy and configuring which products to display in the on-site campaign.

5. Holiday new arrivals campaign: spotlight seasonal exclusives ✨

Build excitement with fresh, holiday-themed products.

Shoppers love discovering new arrivals, especially during the holiday season.

  • How it works: Target homepage visitors or holiday collection browsers.
  • Example message: “Just in time for the holidays! Explore our exclusive [product line] and find the perfect gift.”
  • Why it works: Announcements for new products increase conversions by 6%.

Pro tip: Use festive visuals and emphasize limited availability to drive urgency.

An upsell campaign that prompts customers to buy a related item by displaying the product with a link to add it to cart.

Don’t forget to A/B test your campaigns 🧪

Testing helps you discover what works best for your audience. Experiment with different offers, visuals, or CTAs to optimize results.

  • Example: Test two versions of a free shipping upsell campaign.
    • Version A: “Spend $15 more to get free shipping!”
    • Version B: “You’re $15 away from free shipping. Add [product] to your cart now!”
    • Result: Version B may outperform because it includes a clear  product recommendation, reducing customer effort.

Pro tip: Track key metrics like click-through rate (CTR) and AOV to measure success.

A graphic showing a sample A/B test of two campaigns offering discounts. There is different messaging and images in each campaign.

These holiday campaigns are proven to boost sales and customer engagement during the busiest time of year. Use tools like Gorgias Convert to launch, personalize, and optimize your strategies seamlessly.

Don’t wait—end the year strong with campaigns that deliver results!

{{lead-magnet-1}}

How to Leverage Tools to Manage a High Volume of Sales on TikTok Shop

By Sarah Kang
min read.
0 min read . By Sarah Kang

TikTok Shop generated 68.1% of gross market value sales across all social media platforms in 2024 and $3.8 billion in sales in 2023. Clearly, it’s becoming a massive channel with abundant opportunities for sellers.  

To effectively harness TikTok Shop, however, brands with high-volume sales need to understand the specific challenges they will face when launching on the social platform. 

Many of these are operational, like maintaining an accurate inventory list between platforms, supporting customers efficiently, and fulfilling a large number of orders. 

When used together, AfterShip Feed and Gorgias can help you overcome these operational hurdles and start selling on TikTok Shop sooner. 

{{lead-magnet-1}}

Streamline order management & customer support on TikTok Shop

TikTok Shop is the commerce-enabled side of TikTok, where brands and creators can list their products for sale. Shoppers then make a purchase through shoppable (in-feed) videos, live shopping, or product showcases. The app aims to provide a “frictionless checkout experience,” enabling shoppers to engage with their favorite accounts and add-to-cart in a flash.   

Source: TikTok Shop

While setting up a TikTok Shop is relatively simple, if you already run an ecommerce store that does a high volume of sales, adding TikTok Shop as an additional channel will be a little more complex. Thankfully, tools like AfterShip Feed and Gorgias can help you solve many operational issues and provide the same best-in-class customer experience on TikTok Shop as you do on your other channels.. 

Here’s a highlight reel on how you can implement both tools to improve efficiency and customer satisfaction, tackling issues like fulfillment or customer support inquiries from the same customers on different channels.

Centralize customer support with Gorgias 

800+ Gorgias customers currently use the TikTok Shop integration. It’s quick and easy to connect. With it, you can: 

Manage all customer interactions in one place

Coordinating customer support across different channels can be a pain. With Gorgias, however, you’ll be able to manage inquiries more efficiently and handle all shoppers’ messages by responding to TikTok Shop inquiries directly from Gorgias using text, images, and videos. 

Additionally, you can address order-related issues and manage cancellations, returns, and refunds from TikTok Shop in the same Gorgias dashboard you use for your existing channels. 

Automate ticket creation 

Leverage Gorgias’s automated ticket creation to reduce First Response Time (FRT) and ensure that you don’t miss a single customer inquiry from TikTok Shop. Save time by handling repetitive tasks (like order status updates) with automation. 

Enhance customers’ experience

Enabling the Gorgias TikTok Shop integration will allow you to maintain better control over communication and provide a consistent customer experience. Customers shopping via TikTok Shop will benefit from quicker responses, improving overall satisfaction and boosting brand loyalty.

Simplify operations with AfterShip Feed

AfterShip Feed is a reliable TikTok Shop management tool with 1,800 customers. It auto-syncs products, inventory, and orders between TikTok Shop and ecommerce platforms. 

Partner AfterShip Feed with TikTok Shop to: 

Source: AfterShip Feed

List on TikTok Shop more efficiently

AfterShip Feed makes listing high volumes of products on TikTok Shop easier through bulk uploads and editing, enabling you to update up to 10,000 SKUs at once. 

It uses AI to add key product details and keep your product listings accurate and consistent. Tools like category templates and product ID generation make it even easier to list your full catalog. 

Safeguard your revenue

AfterShip Feed has several features that will help you avoid lost revenue, especially during busy times like BFCM. 

Source: AfterShip Feed

Inventory threshold 

Inventory threshold helps you determine the minimum amount of inventory you need to have on hand to avoid selling out or buying too much. You can also set a fixed amount of inventory aside for TikTok Shop. 

Price rules 

Price rules help you set the ideal prices for each item you sell to protect your profit margins. 

Fulfillment hold 

A fulfillment hold stops an order at the fulfillment stage to ensure sufficient funds on the customer side, sufficient stock on yours—or to solve another issue behind the scenes. TikTok Shop has a standard 1-hour fulfillment hold, which can cause issues with inventory syncing on your main ecommerce platform. 

Streamline order management 

AfterShip Feed supports multiple fulfillment methods and integrates with many returns solutions. Sync orders from TikTok Shop with your existing fulfillment systems, ensuring timely and accurate deliveries. You can sync up to 24,000 orders to Shopify per hour.

Other features include order ID, shipping method, and product-SKU mapping. 

Which are the top-grossing TikTok Shop industries?

Two industries in particular see massive sales from TikTok Shop: beauty and personal care, and womenswear and underwear. According to a 2024 report from Statista, the beauty category saw over 370 million sales and women’s fashion 284 million sales in 2023. 

The beauty category alone has generated almost $2.5 billion in GMV, while the womenswear category has seen $1.39 billion.  

If your brand belongs to one of these categories, including Gorgias and AfterShip Feed in your TikTok Shop toolkit could be a great fit for you. 

Gorgias and AfterShip create better experiences 

Pairing Gorgias and AfterShip Feed will help you deliver a fantastic customer experience and grow your business on TikTok Shop. 

Get started →

How to Pitch AI Agent to Your Boss

By Alexa Hertel
7 min read.
0 min read . By Alexa Hertel

TL;DR:

  • AI Agent reduces workload and prevents burnout for CX teams. It handles routine queries and allows your human agents to focus on providing a higher level of service where it's needed most.
  • AI Agent is secure and compliant with industry standards. Gorgias uses a zero data retention policy and follows strict security regulations, including SOC 2 Type II certification.
  • AI Agent delivers personalized, on-brand responses. Custom Guidance and data from sources like Shopify allow AI Agent to maintain brand consistency while providing tailored customer interactions.
  • Real-world success stories show tangible results with AI Agent. Brands like Psycho Bunny and Baby Gold have seen significant improvements in response times and resolution rates by implementing AI Agent.

AI changes the way CX teams operate. But we firmly believe that it’s a good thing. 

It will help you improve your team’s workload, say goodbye to burnout, and create a more consistent and speedy experience for your customers.  

Here’s the process we recommend for pitching Gorgias AI Agent to your boss, complete with an FAQ section for quick answers. 

Jump to a section:

{{lead-magnet-1}}

Start with the benefits 

Gorgias views AI as an extension of CX teams, and that’s how many of our customers see AI Agent as well. Baby Gold calls theirs Michelle, Psycho Bunny calls theirs Lisa. 

These autonomous agents allow your human agents to focus on more complex and nuanced issues, providing a higher level of service where your customers need it most. 

Here are some other things that make AI Agent a great addition to your team: 

  • ⏰ 24/7 availability: AI Agent operates around the clock, ensuring that customer inquiries are addressed promptly at any time, including weekends and holidays.
  • 🏔️ Scalability: AI Agent can handle a high volume of inquiries simultaneously without any decrease in performance. This scalability is particularly valuable during peak times like BFCM
  • 🚀 Efficiency and speed: AI Agent can process and respond to queries much faster than human agents, leading to quicker resolutions and improved customer satisfaction.
  • 🦎Adaptability: AI Agent can quickly adapt to new information, products, or changes in policies immediately – all you have to do is add them to your knowledge docs and to the Guidance you set. 
  • 🦾 Full control: You stay in full control of how AI Agent behaves in specific scenarios. Give AI Agent custom Guidance to ensure that each interaction with your customers reflects your brand’s values, policies and tone.

📚 Further reading: Our AI Approach: Onboard, Automate, Observe, and Coach

Outline the data & security safeguards in place 

Rest assured that AI Agent and Gorgias operate under a zero data retention (ZDR) policy. Once data is used, it isn’t stored. 

We’re SOC 2 Type II Certified and follow strict regulations in regards to data security.   

You can view the terms that cover the data we collect and how we use Artificial Intelligence by reading Our Master Service Agreement (MSA) and Data Processing Agreement (DPA)

🎯 Resource: How AI Agent works & gathers data

AI Agent learns from various sources like your website, brand voice, Shopify order data, policies, Help Center and Macros.

Highlight its brand accuracy and personalization 

AI Agent provides consistent, accurate, and on-brand responses based on the information in your Help Center, Shopify order data, Macros, handover instructions, and the actual custom Guidance you set for it. 

It might just surprise you with just how specialized it can get. 

“Sometimes agents forget personal details to call out when communicating with our customers, like birthdays or weddings,” says Sindi Melgar, the Customer Service Manager at Baby Gold. 

“But I noticed on a few different occasions where AI Agent (ours is named Michelle) is highlighting these things and is saying, ‘Congratulations on your wedding!’ Just the tone of voice that Michelle is able to adopt is definitely on brand for us.” 

Ensure certain topics are handed over or excluded

When you set up AI Agent, you’ll also let it know the types of topics you’d like it not to answer. 

AI Agent automatically hands over tickets to your team whenever it lacks confidence in an answer or detects an angry customer. 

But you can also use handover rules to choose how AI Agent behaves when it passes tickets to your human team, and add specific topics that it should always hand over to your team.

🎯 Resource: Customize how AI Agent behaves

Provide feedback on responses

Don’t like something AI Agent said? Or, did you love an answer it gave? 

It’s easy to let AI Agent know by telling it you liked the response, saying it should have pulled from a different resource, or reporting an issue. 

Give AI Agent feedback

🎯 Resource: How to coach AI Agent and give feedback

Prioritize your team’s docs

AI Agent uses your Shopify order data, Macros, your brand’s webpages, as well as your Help Center to give your customers accurate and on-brand responses. It also prioritizes any Guidance that you set.  

🎯 Resource: Why having a quality knowledge base is essential to using AI for CX

Share success stories 

We wouldn’t expect you to onboard a new tool without some actual statistics and reviews. Below, browse three success stories and the fantastic metrics that AI Agent helped their teams achieve.

VESSEL golf bag
Source: VESSEL

After just one month of implementing AI Agent, the team at VESSEL not only increased the number of emails automated via AI Agent by 20%, but reduced first response time to 58 seconds and saw their resolution time decrease to one minute and six seconds.

Source: Baby Gold

When Baby Gold implemented AI Agent, they achieved a 49-second first response time, a one-minute and four-second resolution time, and answered 1,361 tickets. They also quadrupled their email automation rate. 

Source: Psycho Bunny

Psycho Bunny saw a 99.8% faster first response time, 99.4% faster resolution time, and 26% of tickets resolved by AI Agent. 

“Our customer support KPIs are already fantastic: we're already leading in the industry,” said Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny.  

“To improve on that, we need AI—it’s not physically or financially possible with human agents alone.”  

Set expectations 

AI Agent isn’t going to find lost packages, pick up the phone, or fix damaged products. While this might seem obvious, it’s important to understand AI Agent’s core capabilities, as we want this to be an exciting and useful addition to your team. 

“AI Agent does a great job of efficiently handling returns and exchanges, and split shipment tracking info,” shares Tosha Moyer. “The overall tone is good and some of its responses are really excellent.” 

Below, find the top use cases for AI Agent, as well as the specific actions you can configure for it within Gorgias.  

AI Agent use cases

These are the top AI Agent use cases that we recommend: 

  • Where is my order? (WISMO) inquiries
  • Product-related questions
  • Returns
  • Order issues
  • Cancellations
  • Discounts (including BFCM)
  • Customer feedback
  • Account management
  • Collaboration requests

The specific actions you currently can configure for AI Agent include: 

  • Cancel an order in Shopify
  • Edit a shipping address in Shopify
  • Send Loop Returns portal deep link
  • Send return shipping status from Loop Returns
  • Cancel a subscription in Recharge

With more to come! And to quiet any worries, it’s worth mentioning that AI Agent will not perform any actions without you confirming them first.

Enhance your brand reputation and build trust

Offering fast, accurate, and 24/7 support can significantly enhance your brand reputation and build customer trust, which can translate into higher customer loyalty and increased revenue.

Get started with AI Agent →

{{lead-magnet-2}}

10 Must-Know AI Agent Use Cases for Instant Resolutions

By Christelle Agustin
13 min read.
0 min read . By Christelle Agustin

TL;DR:

  • Gorgias AI Agent handles a variety of customer inquiries. These include order tracking, returns, cancellations, discounts, account management, feedback, collaboration requests, and complex topics.
  • Use Guidance to train AI Agent to handle each type of inquiry. Guidance acts like a built-in training manual, helping AI Agent follow your brand’s guidelines in every interaction.
  • Test and refine Guidance to keep responses accurate. Use Test Mode to ensure AI Agent follows instructions, reflects your brand’s tone, and escalates when needed.
  • AI Agent can provide 24/7 support. Even when your agents are offline, AI Agent can respond to customers, reducing response times and keeping customers satisfied.

For support teams, sending the right answer at the right time, every time, is the ultimate goal. But with limited resources and operating hours, how can you be there for your customers 24/7? We’ve got an answer.

Designed specifically for ecommerce brands, AI Agent is conversational AI that steps in where human agents are stretched thin: handling repetitive tickets. AI Agent is trained on your brand’s policies, voice, and instructions, helping you resolve customer inquiries like your agents — but faster.

We’ll cover 10 types of inquiries AI Agent can resolve instantly, complete with template instructions (Guidance) and real-life examples. Plus, keep in mind five best practices to get the most out of your new AI teammate.

{{lead-magnet-1}}

10 AI Agent use cases, templates, and examples

Each use case comes with a template for Guidance instructions that acts like a built-in training manual for AI Agent. Then, see how AI Agent uses those templates to respond to real customer tickets.

Note: Guidance are special instructions that tell Gorgias’s AI Agent exactly how to handle customer questions, including when to hand them off to your human agents. This gives you control over AI Agent, so every AI interaction is always aligned with your brand’s protocols.

1. Where is my order? (WISMO) inquiries

90% of shoppers want to be able to track their orders, according to DispatchTrack. Easily fulfill those neverending WISMO requests with one comprehensive Guidance that detects a customer’s current order status to give them the best answer. 

Include these key elements in your where is my order? Guidance instructions:

  • Detect if a tracking number is available: If the order has a tracking number, provide the link to the tracking page.
  • Provide delivery time: Automatically calculate and share the expected delivery date based on the shipping method.
  • Check order status: Inform the customer whether the order is processing, shipped, or delivered.
  • Handle delivery delays: If the system detects a delay, apologize and offer an updated delivery estimate.
  • Escalate complex issues: If the order is missing or has incorrect tracking info, escalate the ticket to a human agent for further review.

Here’s an example of a where is my order? Guidance setup, available as a template in Gorgias:

Where is my order Guidance template

Here’s how AI Agent uses that Guidance to assist a customer with their order inquiry:

AI Agent answers a where is my order customer ticket.

💡 Pro Tip: Can’t find AI Agent? Double-check that you have an active AI Agent subscription and connect Shopify to Gorgias. To do this, go to Settings > My Apps > Shopify > Update app permissions. You must be an Admin to complete this task.

2. Product-related questions

Shoppers ask product questions to get the clarity they need before buying. These pre-sales questions can make or break their decision to buy your product. Close the gap from browsing to checkout by using AI Agent to deliver quick, accurate answers that help them make confident decisions.

Here’s an example of a product-focused Guidance setup:

Footwear sizing Guidance

Here’s how AI Agent uses that Guidance to assist a customer with their product inquiry:

A customer asks a shoe sizing question. AI Agent responds with sizing tips and a link to the brand sizing guide.

💡 Pro Tip: AI Agent can also learn information from your web pages. Go to AI Agent > Knowledge > Public URL sources to sync key web pages like sizing guides, blog posts, and more.

3. Returns

Answering ecommerce return requests can be time-consuming. Requests can range from a simple what is your return policy? question to customers wanting to go through the return process. Regardless, return inquiries can easily be handled by AI and handed off to a human agent if necessary.

Include these key elements in your returns Guidance instructions:

  • Determine return eligibility: Check if the order is within the return window based on your policy.
  • Identify non-returnable items: Inform customers if their item is non-returnable due to your specific policies.
  • Guide through the return process: Provide instructions on how to initiate a return, including steps like entering an order number or using a return portal link.
  • Inform about processing times: Share estimated times for processing returns and refunds.
  • Escalate complex cases: If the return involves exceptions, like damaged goods or international returns, escalate the ticket to a human agent.

Here’s an example of a returns inquiry Guidance setup, available as a template in Gorgias:

Returns inquiry Guidance

Now, look at how AI Agent uses this Guidance to assist a customer with their return request:

AI Agent answers a customer about returns.

💡 Pro Tip: If you’re using Loop Returns, set up AI Agent to automatically send a returns portal link to customers. This Action fully resolves returns inquiries by directing shoppers straight to their orders.

4. Order issues

Order issue tickets often require back-and-forth. The customer states their problem, you ask for photo verification and check if the customer has tried all the different solutions — the list goes on. Let AI Agent cover the bases for you every time, and if needed, escalate the ticket to your team.

Include these key elements in your order issues Guidance instructions:

  • Express empathy for any inconvenience caused: Show that your customer’s happiness and experience are priorities.
  • Handle damaged products: Provide instructions for customers to submit photos of damaged goods, then process a replacement or refund based on your policy.
  • Correct incorrect shipments: If the wrong item was sent, guide the customer through returning the incorrect item and arrange for the correct product to be shipped.
  • Escalate the issue: Route the ticket to a human agent for further handling.

Here’s an example of a Guidance setup for handling order issues, available as a template in Gorgias:

Order issues Guidance

Here’s how AI Agent follows this Guidance to resolve a customer’s order issue:

AI Agent answers an order issue ticket.

5. Cancellations

Canceling orders is pretty much a race against order fulfillment and your third-party logistics. The key is to catch these inquiries as soon they hit your inbox. The problem? Tickets can come late at night or outside of your business hours.  However, when you let AI Agent handle them, customers can rest assured that their request will be dealt with.

Include these key elements in your cancellation Guidance instructions:

  • Check order status: Determine if the order is eligible for cancellation based on its shipping status.
  • Process cancellation: If eligible, guide the customer through the cancellation process and confirm the order has been canceled.
  • Handle shipped orders: If the order has already shipped, instruct the customer on how to return the item once received, or escalate the case to a human agent.
  • Escalate exceptions: For complex or time-sensitive cancellations, escalate the ticket to a human agent.

Here’s an example of a cancellation Guidance setup, available as a template in Gorgias:

Cancellation inquiry Guidance

Here’s how AI Agent follows this Guidance to handle a customer’s cancellation request:

💡 Did you know? You can let AI Agent cancel an order when the customer and order meet certain conditions. For example, the Action will only be performed if the fulfillment status is still empty. Go to AI Agent > Support Actions > Create from Template > Cancel order.

6. Discounts (including BFCM)

Come holiday season, including Black Friday, you’ll be swamped with loads of discount inquiries. Whether it’s customers asking about discount codes not working or if you have any codes available, these repetitive inquiries are best resolved by AI.

Include these key elements in your discount Guidance instructions:

  • Provide active discount codes: Provide customers with a list of current discount codes and their eligibility criteria.
  • Assist with missed discount codes: Help customers who forgot to add a discount code by offering guidance on how to apply it retroactively or escalate to an agent.
  • Troubleshoot code issues: Guide customers through common reasons why a discount code might not be working, like expiry dates, minimum purchase requirements, or product exclusions.
  • Upsell by offering alternatives to discounts: If no active code is provided, offer alternative available promotions or direct them to sign up for the latest offers.

Here’s an example of a discount inquiry Guidance setup, available as a template in Gorgias:

Discounts Guidance

Here’s how AI Agent follows this Guidance to handle a customer asking for coupons:

AI Agent answers a question about free samples or coupons.

7. Customer feedback

Acknowledging feedback, good and bad, can make customers more willing to keep doing business with you. Maintain an honest rapport with customers by letting them know you’re always listening.

Include these key elements in your feedback Guidance instructions:

  • Acknowledge positive feedback: Respond with a thoughtful, genuine thank-you message, reinforcing customer appreciation.
  • Request a public-facing review: Encourage customers who leave positive feedback to share their experience further, such as writing a product review or sharing their thoughts on social media.
  • Escalate negative feedback: For negative feedback, escalate the ticket to a human agent.

Here’s an example of a customer feedback Guidance setup:

Customer feedback Guidance

Here’s how AI Agent uses this Guidance to respond to positive feedback:

AI Agent answers a request for gifts.

💡 Pro Tip: Let AI Agent automatically tag feedback tickets for you by going to AI Agent > Settings > AI ticket tagging. This way, your agents can find all customer feedback organized in one place.

8. Account management

Account management tasks like updating details or managing subscriptions are tedious, time-consuming, and often things customers can do themselves. Let AI Agent handle these tasks to speed up resolutions.

Include these key elements in your account management Guidance instructions:

  • Provide instructions: Provide clear instructions for updating account details like email, shipping address, or payment methods.
  • Verify identity for security: Include steps to verify customer identity before making sensitive changes, like account or subscription modifications.
  • Escalate complex issues: For issues like account access problems or billing disputes, escalate to a human agent.

Here’s an example of a Guidance setup for account management, available as a template in Gorgias:

Take a look at how AI Agent uses this Guidance to help a customer with managing their rewards:

💡 Pro Tip: Use Recharge Actions to automate subscription cancellations or skip shipments with AI Agent. Go to AI Agent > Support Actions > Create from Template > Cancel subscription or Skip next subscription shipment.

9. Collaboration requests

Influencer marketing is on the rise as customers look to social proof when deciding what products to buy. With the right Guidance, your AI Agent can easily manage collaboration and marketing partnership inquiries.

Include these key elements in your collaboration requests Guidance instructions:

  • Gather social media profiles: Prompt customers to share their social media profiles and relevant platforms for review if they haven’t.
  • Request collaboration details: Ask for specifics about the type of collaboration or partnership they’re interested in (e.g., influencer campaigns, sponsorships).
  • Provide next steps: Let the customer know their request will be reviewed and what they can expect in terms of timing.
  • Escalate complex or high-value inquiries: For more significant partnerships, escalate the request to your marketing or partnerships team.

Here’s an example of a collaboration request Guidance setup:

See how AI Agent uses this Guidance to respond to a collaboration request from a content creator:

10. Complex and sensitive topics

AI Agent isn’t designed to handle all tickets. For highly complex and sensitive topics, instruct AI Agent to reroute them to your human agents who are equipped to handle certain subjects with more caution and context than AI. 

For example, a makeup brand would disable AI Agent from taking on tickets about allergic reactions or health concerns so customers receive safe advice.

Here are other messages you should prevent AI Agent from answering:

  • Messages that mention legal actions
  • Messages that mention allergic reactions or health issues
  • Messages where customers report negative reactions to products
  • Messages that mention unsubscribing, stop messages, stop emails or stop texts

Take a look at how AI Agent escalates a ticket about a damaged product:

Note: AI Agent automatically escalates messages with angry language and sentiment to your support team — no Guidance needed.

Keep these 5 Guidance best practices in mind

While AI Agent answers most customer inquiries, you’ll still need to be there to provide it with the barriers to keep its answers on-brand and accurate.

Here are five best practices to keep in mind when creating Guidance instructions.

1. Include Guidance for your top 5 most FAQs

Prime AI Agent with essential brand information by creating Guidance for the top five most common customer questions:

  • Order status and tracking
  • Returns, exchanges, and refunds
  • Order cancellations and edits
  • Discounts and promos
  • Subscription/account management

You can automate a significant portion of customer support and save time for your team just by letting AI Agent answer these tickets.

2. Use a descriptive Guidance name

Always use clear and descriptive names for your Guidance. AI Agent relies on this information to identify whether the Guidance is relevant to the customer’s question. 

For example, instead of naming it “Shipping,” use something like “Shipping policy – domestic & international” to help AI Agent choose the right response.

3. Include examples in your instructions

It’s important to include detailed examples to help AI Agent detect the intent behind your incoming tickets. Clear examples let AI Agent match customer inquiries with the correct response more reliably.

For instance, instead of just saying, “Answer shipping questions,” give it an example: “For domestic orders, say: ‘Shipping takes 5-7 days. For international orders, it takes 10-15 days.’” This helps AI Agent detect when a question is about shipping timelines and respond appropriately.

4. Review and update your Guidance

Customer needs and products change over time, so it’s important to check back on your Guidance to make sure it’s relevant. AI Agent’s responses should reflect any changes to your policies, products, or processes to provide customers with up-to-date information.

5. Test new and updated Guidance in Test Mode

Before going live with new or updated Guidance, use Test Mode to make sure AI Agent is responding as expected.

Here are key things to check in Test Mode:

  • Help Center articles: Verify that AI Agent is pulling from the correct Help Center resources.
  • Guidance instructions: Test your updated Guidance to make sure AI Agent follows the protocols you have laid out.
  • Excluded topics: Ask AI Agent questions about excluded topics to make sure it escalates the inquiry as needed.
  • Tone of voice: Check that AI Agent’s responses are in your brand’s tone.

Lead conversations to faster resolutions with AI Agent

Right out of the box, Gorgias includes Guidance templates to help AI Agent manage your FAQs, like returns inquiries, shipping questions, and more.

Equip your AI Agent with Guidance and watch your support team thrive with more time to nurture your customer relationships and handle complex tasks.

See how AI Agent can transform your support team within minutes by booking a demo today.

{{lead-magnet-2}}

How to Build an Effective AI-Driven Customer Support Strategy

By Alexa Hertel
5 min read.
0 min read . By Alexa Hertel

‎Jordan Brown, Founder of Omnie, recently hosted a workshop at CX Connect in Los Angeles on creating better customer support programs with AI. 

If you weren’t able to attend live, or you just want a refresh, we’ve put together a recap of the workshop.

We'll cover how to get started with building your AI customer support strategy and, once you're up and running, how to measure success and ensure AI is operating properly.

You can also watch Jordan’s full workshop below:

Common AI concerns 

First, Jordan did a bit of “myth busting” and went through everyone’s most top-of-mind concerns for implementing AI. Here’s what they were worried about: 

1) How to measure success quantitatively  

Concern: Unsure which customer service metrics to track and how often to monitor each AI response to ensure it's accurate. 

Jordan’s response: He recommends monitoring customer satisfaction, escalation rate, automation rate, and customer sentiment. 

2) AI will sound too robotic

Concern: How to make everything into your brand voice and not just sound robotic, but personalized.

Jordan’s response: Create brand guidelines and set them up as guidance for your AI agent. 

3) My team worries AI will take their jobs 

Concern: How to use AI as a member of my team without freaking out my team that it's going to take over their jobs. What kind of new tools are they talking about, and how will my team's roles evolve with AI?

Jordan’s response: Agents will naturally feel like they're being replaced by AI, but they'll just have a different focus—sales, monitoring AI, supporting it, and training it. Having that conversation with them is a good idea.

4) The time it takes to set up will affect our current requests 

Concern: We’re just a small team, and we’re worried about stopping to invest our time and energy into setting it up, which could potentially affect the service to customers who already reached out to us.

Jordan’s response: That's understandable. Implementing AI will save time in the end, but it's a huge change.

{{lead-magnet-1}}

How to get started with AI 

Here’s what Jordan recommends for weaving AI into your customer experience program: 

Establish the foundation for your strategy

You've all probably experienced poorly built AI chatbots, especially with massive companies where it's impossible to find their phone number, and you're stuck in chatbot loops.

That situation really benefits the brand because they don't have to talk to customers, saving costs. But you want to benefit both the brand and the customer, so you need to implement AI properly. 

That means setting up AI with a personalized touch, and making sure it's successful so that both brands and customers enjoy the benefits.

Here’s what your top priorities should be: 

  • Identify potential risks and best practices to mitigate risks 
  • Understand AI's capabilities (since it's not going to find lost packages, pick up the phone, or fix damaged products) 
  • Build in your brand tone and voice making the AI feel as human as possible

📚 Further reading: Why having a quality knowledge base is essential to using AI for CX

Set up AI in phases 

Advanced AI tools work off confidence scores. Each AI response has a confidence score, indicating how confident the AI is that its response is accurate. 

At Omnie, Jordan likes to set up AI in phases, where the AI only answers when it's 100% confident. Anything less goes to an agent to avoid risking the customer experience. 

You don't have to turn on AI for everything immediately—you can ramp up slowly. 

Automation and AI also don't need to handle a ticket fully from end to end. 

For example, if a customer wants to return something because they changed their mind, great. But if there’s an issue with the product, send it to someone on the retention team to try and salvage the sale. If it’s for particular reasons, automate the return.

📚 Related: Ecommerce returns: 10 best practices for taking your online store to the next level

Prioritize empathy & personalization 

Empathy and personalization are critical. At Omnie, Jordan and his team weren’t comfortable with automation a year ago because it felt robotic. But with new technology like ChatGPT, you can inject your brand tone and voice

You could be funny, concise, chatty—whatever fits your brand. 

They worked with Jason Momoa's water company, where the bot talks like him, making it a unique brand tone. 

When AI is implemented properly, the customer thinks they’re talking to a human, as seen with Frye, a shoe company that’s been around since 1863. Omnie is saving them 240 hours a month of support time, automating nearly 800 tickets, and customers think they’re interacting with a human named Caleb.

To get started, determine your brand tone and voice. If you don’t have a brand book, figure out how you want to talk to your customer so it’s consistent.

📚 Related: New data shows 4 ways automation impacts customer service

Measure and monitor success

As you ramp up, test in the playground before going live, especially for businesses with sensitive information. Monitor the metrics for success: customer satisfaction, escalation rate, automation rate, and customer sentiment. AI isn’t something you set up and walk away from — it requires constant maintenance.

Ramp up with Gorgias AI Agent worry-free

Experience firsthand how AI Agent can transform your support strategy and save your team time by automating repetitive tasks and keeping your brand’s voice front and center. Book a demo now.

{{lead-magnet-2}}

Customer Knowledge Base

Guide To Creating and Managing A Customer Knowledge Base

By Tina Donati
19 min read.
0 min read . By Tina Donati

Let’s be clear: a customer knowledge base is not a landing page full of frequently asked questions.

Sure, FAQs can live in your knowledge base, but they can do so much more than simple Q&A. 

A well-crafted Help Center is a strategic asset, propelling your conversion goals by easily guiding customers through the sales funnel.

We’ll walk you through what a knowledge base is, how it can support your bottom line, and everything you need to know to create yours successfully.

What is a customer knowledge base?

Customers love having the power to solve problems independently and on their schedule. That's precisely what a knowledge base delivers.

Your knowledge base isn’t just a static library of articles — it's an interactive portal connecting your customers to sales and customer service. That means making it easy for them to find answers before purchasing and helping them troubleshoot any possible issues afterward.

{{lead-magnet-1}}

How a knowledge base can transform your customer service (and customer experience) 

Now that we've introduced the concept of a knowledge base, let's dive deeper into how these helpful landing pages can drive revenue by leveling up your customer service game. 

Zero-touch resolutions

90% of consumers worldwide consider issue resolution as their top priority for customer service. And with a knowledge base, you can make their dreams come true with 24/7 self-service support.

Think of a customer knowledge base as your company's information powerhouse that includes helpful articles, FAQs, contact methods, and more ––– all readily available 24/7 for your customers to tap into whenever they need help. 

And the magic word that describes why a knowledge base is so powerful? Self-service.

Nail this experience, and your knowledge base will serve as a revenue-driving machine for acquisition- and retention-based goals. 

No more waiting in line, playing phone tag, or being told the customer support team is “offline until tomorrow.” As long as customers can easily locate the information they’re after (more on this later), they get an immediate response to their questions.

Reduce support burden (and response time as a result)

Your support team deals with a mountain of questions every day: 

  • "Where's my order?" 
  • "What's your refund policy?" 
  • "How long does shipping take?" 

…These are the classics. 

Imagine dramatically cutting down the number of repetitive inquiries your team handles or eliminating them entirely. Your knowledge base can make this happen. By leveraging data to pinpoint the most frequently asked questions, you can create help articles that address these issues and showcase them at the top of your knowledge base.

But how do you identify the most common questions? Two straightforward solutions are already at your fingertips in the Gorgias Helpdesk.

1. Monitor commonly used 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 the frequency of tag usage. This view gives you an overview of popular tags. You can adjust the view by filtering by app integration, channel, and date range. 

View all Tags in Gorgias
View all ticket tags to learn about your customers' top inquiries.

2. Review your intent statistics: Intent Statistics provide valuable insights into why customers contact support. You can understand the primary reasons behind customer queries by analyzing these statistics.

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 frequently mentioned in messages. You can also change the view using channel and date range filters.

View ticket intent statistics in a bar graph view in Gorgias
View your ticket intent statistics for a comprehensive understanding of customer concerns.

The result: Customers don’t have to search through your articles, and your support team frees up time to focus on providing better customer experiences.

Questions answered, problems solved.

Final tip: To streamline the creation of your Help Center, we created 50+ ready-to-use article templates on key topics like shipping, tracking, account setup, and product details. See the templates here.

Turn inquiries into sales

Customers browsing your store often need help deciding between options or understanding how your product works. Don’t let them leave with uncertainty.

A knowledge base isn't just for answering questions about shipping or order tracking — it can also function as a personal shopper, guiding customers toward the perfect fit or style.

With Gorgias Convert, you can engage customers at key moments with personalized, persuasive messaging. Offer exactly what they need while they’re viewing a product, such as a helpful guide from your knowledge base that:

  • Clarifies product details
  • Increases brand awareness
  • Encourages them to explore more of your catalog

Take TUSHY, which highlights an article on their toilet compatibility page when customers show a 30-second delay on their bidet product page.

TUSHY
TUSHY displays its toilet compatibility guide to customers viewing a bidet page.

As another example, if a customer asks, "I have wide feet. Will your shoes fit me?" don’t just respond with a simple "yes." Take it further by sharing helpful links to articles about your shoe size and fit. This approach answers their question and boosts their confidence in purchasing.

Reinforce your brand 

Delivering information in a consistent tone across all customer interactions builds trust and leaves a lasting impression. You can easily do this in your knowledge base by staying in line with your brand's tone and style and communicating your company’s values. 

Let’s run through an example: Let's say you sell organic skincare products, and you want to use your knowledge base to establish your expertise and the brand values you share with like-minded people.

Health-conscious consumers often have specific concerns about product safety, ingredients, and potential side effects. Your knowledge base is the ideal platform to address these concerns transparently. How? 

Explain the benefits of organic ingredients, the absence of harmful chemicals, and how your products contribute to healthier skin. 

Proactively addressing these concerns promotes a lifestyle choice centered around happy skin and well-being. Doing so will set you up to be seen as a trustworthy source of information about safe beauty.

Everything you need to know about creating & managing a customer knowledge base

Next, we’ll walk you through creating and managing your customer-facing knowledge base.

How to set up a knowledge base

These initial steps are the foundation of a successful knowledge base, ensuring long-term success.

1) Identify your customer’s frequently asked questions

To lay the groundwork for your knowledge base, you need to know your customers like the back of your hand. A few ways you can kick off this research: 

Review key questions and phrases from your previous conversations with customers: Dive into your customer support history, whether it’s through email, live chat, or social media. 

Look for recurring questions, common issues, or patterns. For example, those should be high-priority topics if you're constantly fielding inquiries about sizing or return policies. 

You can learn these by looking into the reasons for contact with Gorgias. This AI-powered feature 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.


Use customer satisfaction surveys to discover what burning questions are on your shoppers’ minds: 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. Filter for scores of 3 stars or below. Analyzing lower ratings and their accompanying comments will help you pinpoint the topics your Help Center articles should address.

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

Any customer data you have available becomes your roadmap to creating valuable knowledge base content.

The research step is crucial, and here’s why: In 2022, Deloitte Digital conducted research with Twilio about the business value of trust. The results showed that when companies make it easy to do business with them, 96% of consumers trust the brand more.

When asked how companies can make it easier to do business with them, customers said the following factors are the most important: 

  • Making sure issues are resolved quickly
  • Being able to easily get in touch with a real person for help (and not getting bounced around from person to person when trying to solve a problem)
  • Being able to simply find answers and get information as needed on their own.

Your knowledge base can help with all three factors. As a result, Deloitte’s research found that customers are more likely to reward that trust by making more frequent and higher-value purchases. 

2) Use templates to streamline page creation

Starting a Help Center can be daunting, especially when you're strapped for time already.

Creating a Help Center involves research, brand consistency, copywriting, and page structure. Luckily, platforms like Gorgias provide templates that eliminate the guesswork and lighten the load.

These ready-to-use templates are crafted from successful Help Centers across various industries, giving you a proven framework to structure your own content confidently.

3) Customize the look of your knowledge base

Your knowledge base isn't just a sidekick. It's a key part of your brand's identity. No matter if a new customer lands on your knowledge base through your main site or via a Google search, it should feel like they're interacting with the same business as they jump between the knowledge base and your main site pages.

That’s why you need to ensure your knowledge base’s branding seamlessly matches your website, creating a cohesive experience for your customers. 

A few elements to consider:

  • Add your logo to the header
  • Match the header design to your main website
  • Edit fonts and use your preferred typeface
  • Use similar iconography and images as you would on your other website pages

Princess Polly’s customer knowledge base ties in all of these elements well. Even though the knowledge base is on a separate subdomain, it doesn’t feel any different from the brand’s main domain from a user’s perspective.

Princess Polly's knowledge base design matches its main homepage, keeping the user experience cohesive.

Platforms like Gorgias allow you to edit fonts, logos, and headers for your Help Center without any coding required. If you're craving more customization, you can dip into HTML and CSS to tailor specific elements.

4) Make your pages categorizable and searchable

Remember, the goal here is to make things effortless for your customers. If your knowledge base is a maze of articles without clear categorization, it's not user-friendly — it's a Q&A jungle that nobody wants to venture through. 

Organize all your articles with crystal-clear categorization — think "Shipping," "Returns," "Loyalty Program," and "Sizing." Don't forget to add a smart search bar that understands keywords and common phrases to recommend relevant articles.

"We have a great Help Center that attracts tens of thousands of monthly visitors who are then redirected back to the main site and in this circular motion where we don't want those customers to drop off. Two critical aspects drive this success: ensuring accessibility so customers can easily find the answers they need, and providing direct contact options for our team. We don't want you to have to go searching for your answer to the point where you're frustrated and you stop that purchasing experience." —Colin Waters, Leading at The Feed & former Associate Director of Customer Experience at BrüMate

Turn your knowledge base into an interactive Help Center

Once you’ve gone through the foundational steps, you can work on taking your knowledge base to the next level. This will enhance customer satisfaction and engagement.

5) Create automated and interactive FAQs

In a world where 65% of customers expect companies to adapt to their changing needs and preferences, proactive customer service is essential. One way you can satisfy this expectation is to use automated and interactive FAQs via chatbot that adjust to customer needs.

For example, with Gorgias Automate, you can use Article Recommendations in Chat to help customers out without live agent help. When they type in the Chat, they'll automatically receive a relevant Help Center article suggestion.

The goal is to answer the customer’s question without having to pull in a support agent.

What if automation doesn’t answer a customers’ question? Glad you asked! At the end of the flow, if the customer still requires help then a ticket is then created for an agent to follow up.

6) Offer self-serve order tracking

Order tracking is a hot topic for customers, so don't be shy about it. Add more than one CTA that customers can click to track their order without having to get in touch with your team.

Feature an order tracking CTA prominently in your knowledge base's header, via chat, and as a main option on the Help Center page. 

See the screenshot from Parade below, for example: This may seem overkill, but we promise it’s not. The data to prove it: merchants who use Gorgias’s automation tools reduce support tickets in their helpdesk by 60%.  

7) Go multimedia

Parade
Parade's knowledge base includes two links to order tracking, including in their chat.

When it comes to crafting a comprehensive knowledge base solution, text alone might not always suffice. Customers often prefer visual cues, and research has shown that visual content can significantly improve understanding and retention of information. 

Think about any time you’ve built a piece of furniture that you bought online. Those manuals are confusing enough as is — even with the images added to every step. Imagine how much head-scratching you’d be doing if you didn’t have the images to accompany you. 

That’s why images, videos, and other iconography are useful to include in your knowledge base, so you can eliminate confusion and boost user confidence.

Check out how Loop uses videos along with written instructions for tutorials: 

Loop includes a product how-to help center article with a YouTube video.
Loop includes a YouTube video in their instructional article.

8) Make contact forms easily accessible

Yes, one of the key objectives of a knowledge base is to empower customers to find answers and solutions independently. However, there will always be situations where customers require personalized support — like when an order arrives damaged, for example. 

Integrating contact forms directly into your knowledge base provides a straightforward channel for customers to reach out for assistance. But these inquiries can be difficult to keep up with when you have multiple forms living on various parts of your site. 

💡 Tip: Add a “contact us” CTA in your knowledge base. If a customer clicks it, they’re redirected to the main contact page on your website. You can also create a knowledge base form that’s separate to track traffic from the Help Center page alone.

Here’s an example from BrüMate, which features its “contact us” form directly on the Knowledge Base domain:

image
BrüMate has a contact form right within their knowledge base.

9) Add flexible communication options

It’d be nice if you could promptly answer every customer’s question, but sometimes, a self-service knowledge base isn't enough. Unique situations will arise, and that's where the human touch comes in. 

A staggering 83% of customers agree that they feel more loyal to brands that respond to and resolve their complaints. So, be prepared to chat live when the need arises.

Concerned about managing live chat support? A few ways to make it easier for strapped CX teams:

  • Only implement live chat on specific web pages, so it’s not featured on all pages on your site.
  • Set realistic SLAs for when your customer support team is online, so if it’s outside working hours the customer shouldn’t expect an answer until the following day.
  • Highlight your most prominent FAQ articles as soon as someone opens the live chat window, so they can find certain answers without contacting your team.

Here’s another knowledge base example from Princess Polly, which features a live chat widget on its knowledge base page and highlights key FAQs.

image
Princess Polly's chat widget pops up on their knowledge base to provide customers with an easy way to contact a live agent.

⚡ Key Takeaway: Every customer has a different preference for how they want to be communicated with. It’s important that you offer various methods to satisfy those preferences.

Keep your knowledge base updated

Your knowledge base is an ongoing initiative. As you expand your product line and discover new information, you’re going to want to adapt your knowledge base to continue meeting the needs of your buyers. 

So lastly, let’s talk about maintaining and evolving your knowledge base to ensure you continue providing a high-quality and effective experience. 

10) Track knowledge base analytics

Your knowledge base is an evolving entity. Using analytics to your advantage will help you continue to improve it over time. 

Here are a few questions to consider:

  • Are some queries or questions more popular than others? Use this to improve your content hierarchy by placing the most relevant information upfront. 
  • Is one method of communication preferred? Customers naturally scan left to right and top to bottom. Line up your most popular contact options with that in mind. For example, if you’re placing email, live chat, and phone number options left to right, feature email first if you know that’s the most popular contact option.
  • What time of day do you see an uptick in engagement on your knowledge base? Trigger a customer service email workflow that shares FAQ pages to send during these times.
  • What common questions can you place on other areas of your website? If customers are asking how your products are sustainable, it might be worth just adding that information directly to your homepage, product description pages, or on social media. Plus, you can pass this feedback to other teams like marketing, which can delve deeper to solve these problems at the root.

Gorgias's cloud-based integration with Google Analytics makes tracking engagement a cinch, helping you uncover the most-viewed questions, peak activity times, and top-clicked links.

11) Get feedback from customers

Metrics from your analytics tools is helpful but becomes even stronger when you combine it with qualitative data. This type of information has to be collected directly from customers, which you can do via feedback forms. 

After each support interaction, simply ask customers how you can improve. Some questions you can ask are:

  • Did they know your Help Center existed? 
  • Was it easy to find? 
  • Did they have trouble finding the answer they needed? 

12) Optimize your knowledge base for search

Did you know your knowledge base can be used as an acquisition tool by driving organic traffic to your website? Optimize it for search engines by framing questions as main headings.

For example, article titles can be formatted like, "What is your return policy?" This way, when potential customers search Google for answers, your article will appear.

When building your knowledge base in Gorgias, you can even customize your meta title and description for an extra SEO boost. Check out ALOHAS’ knowledge base as an example. For customers who search “What is Alohas’ return policy?” in Google, this article will show:

image


The ALOHAS Help Center is the highlighted result on Google thanks to search engine optimization.

13) Regularly audit articles

We all know things won’t stay the same forever. Products change, ingredients shift, and branding gets a makeover.

When information changes, It's essential to shift the information in your knowledge base too. 

What if you decide to change your shipping policy, so it’s only free after a customer spends $50 versus $25? The last thing you want is an irate customer pointing to an old article that mentions the $25 rule.

This is why you must regularly audit and quality check your articles to ensure they're as recent as possible. Failing to do so can impact customer loyalty.

Examples of a full-fledged interactive knowledge base

Now that you have the full scoop on building a successful customer knowledge base, looking at specific examples may help. 

Here are a few businesses that have integrated automation, clear categorization, and user-friendly interfaces to empower customers to find answers and solutions efficiently.

BrüMate

BrüMate's Help Center stands out for its customer-centric approach. Here's what makes it effective:

Directly addresses key questions

Right at the top of the page, BrüMate addresses two of the most common customer queries: the returns policy and compatibility with their products. This ensures that customers can find answers without scrolling.

image
BrüMate's puts its most important links at the top of its knowledge base.

Directing customers to the right product

BrüMate goes a step further by offering a personalized product finder quiz. This interactive element helps customers discover the perfect BrüMate product that suits their needs without the hassle of extensive research.

image
BrüMate's product finder quiz.
“We’ve started pushing people towards resources that are in our Help Center. We're trying to help our customers self-solve.”

—Colin Waters, leading at The Feed & former Associate Director of Customer Experience at BrüMate

Accessible support

The Help Center features easily accessible header links, including options to track packages and return to the main site. The chat bubble is readily available, and if the customer service team is offline, customers can access helpful articles.

ALOHAS

ALOHAS’s Help Center excels in providing quick and convenient access to information. Here's what sets it apart:

Top questions featured

Just like BrüMate, ALOHAS prioritizes customer needs by featuring top questions prominently at the top of the page. This means customers don't have to scroll to find answers.

image


ALOHAS puts its most frequently asked questions about refunds and shipping at the top of its knowledge base.

Effective use of iconography

ALOHAS uses icons effectively for Call to Action (CTA) buttons related to orders, including tracking, returns, cancellations, and reporting issues.

image


ALOHAS makes it easier to navigate their knowledge base with icons and emojis.

User friendly categorization

The Help Center is well-organized with clear categorization of articles, making it easy for users to navigate and find relevant information.

Powerful search function

ALOHAS' search function is highly effective, pulling relevant information based on key phrases, further enhancing the user experience.

image


ALOHAS includes a search bar to allow customers to find their specific questions quickly.

LUNO

LUNO takes a minimalist approach that proves simplicity can be highly effective:

Simplicity

LUNO demonstrates that sometimes less is more. The Help Center is clean and uncluttered, ensuring customers can find what they need without distractions.

image


LUNO's knowledge base is simple without extra decorative elements like images or icons.

Dedicated product information

Many articles are dedicated to specific product questions, such as compatibility, user manuals, and repair guides. It serves as a virtual manual for customers.

Turn your customer service knowledge base into a conversion machine

88% of customers already search your website for some kind of knowledge base or FAQ. It's your chance to transform those searches into conversions.

All of the knowledge base tools mentioned today are available with Gorgias, which you can try for free for 7 days.

{{lead-magnet-2}}

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