.png)
.png)
An interview with Max Pruvost, Gorgias SVP of Product, the engineer behind the Gorgias AI Agent Benchmark.
Everyone evaluating an AI agent today is working from a different scorecard.
Gorgias wanted something a buyer could actually interrogate, so we built one. The AI Agent Benchmark tests AI agents on 200+ live ecommerce stores, has evaluated more than 8,000 conversations, blind-scores the quality of each one against a public rubric, and ranks 12 vendors over a rolling 90-day window.
We sat down with Max Pruvost, the engineer who built the benchmark, to talk about why the standard was needed, how it actually works, and what it took to make the numbers reliable and unbiased.
Max: Because the numbers don't mean the same thing. "Automation" can mean resolved, contained, or merely answered. The customer might have gotten what they needed, or they might have been pushed to a contact form, and both get counted the same way. "Fast" can mean the first word of a response or the complete answer; those are wildly different experiences for a shopper. And the way that vendors rate quality has been subjective or not at all standardized.
We wanted a single rubric, applied identically to everyone, that describes the two jobs an ecommerce AI agent actually has: helping a shopper buy, and resolving support without needing to pass it off to a human because the team is busy dealing with more complex tickets.
Max: A storefront assistant does two very different jobs, and they punish different weaknesses. A shopping conversation is revenue-critical and impatient. If the recommendation takes twenty seconds, or the shopper can’t get a good recommendation at all, they’re gone. If the buyer doesn’t feel confident about their purchase decision, the agent hasn’t done its job. It’s important that shoppers get all their questions about the product and the brand’s policies answered quickly and accurately, before they drop off.
A support conversation is about containment: did the customer get their refund question answered without anyone touching a ticket? Speed matters far less there.
If you average the two, a vendor that's excellent at policy answers and useless at recommending products can look identical to one that does both. So the benchmark measures the two lanes separately and weights them differently: shopping is 40% automation, 35% quality, 25% speed; support is 50% automation, 40% quality, 10% speed.
Max: Every conversation runs against the live widget on a real storefront, using the same AI deployment customers actually interact with. Each conversation starts completely fresh, with no browsing history or prior context, and our test shopper types every question in its own words. That matters: quick-reply buttons can trigger canned answers that make speed and automation look better than they really are.
The questions are deliberately hard: compound, multi-constraint, and built on earlier answers, with objections and edge cases along the way. Support scenarios include things like splitting a refund between a gift card and credit card or changing an address mid-transit. Shopping scenarios go from open-ended discovery through comparison and objections, all the way to add-to-cart.
Max: We made three design decisions to make it more trustworthy.
First, blindness. Before judging, we strip out vendor and store identity, so the judge sees behavior, not brands. The information that links a conversation back to its vendor is kept separate and never reaches the judge.
Second, each lane's rubric breaks down into simple yes/no checks, twenty-six of them across the two lanes. The LLM judge answers yes or no per check, and the score out of 100 is calculated from those answers by a fixed formula. A judge can't "feel" an 82.
Third, every passing check must quote the actual transcript, and the quote is verified against the stored transcript in code, an invented quote is demoted to a fail. And the objective parts are even stricter: whether a reply really contains a price, a link, a review quote or a product option is detected by code straight from the transcript, not judged by feel.
Max: The benchmark counts a conversation as automated only when the AI handled it with zero human touch, no handover to a person, and no deflection out of the channel. No "email us," no contact form, no "call us." If more than half of an agent's replies in a conversation push the customer out of the channel, we count the conversation as unresolved.
And importantly, the questions are designed so no turn ever asks for a human. Any handover the AI initiates is its own choice, attributable to a capability gap, not a scripted escape hatch. Also: early bails count against the vendor, and broken widgets are reported separately, never silently dropped or scored as zero. None of that flatters anyone. It's the same measure for every vendor.
Max: Because a competitive benchmark nobody outside can check is only an assertion. The rubric is downloadable; the scoring rules, quality gates and neutrality policies are documented. Every scoring decision is written into code as a separate, tested rule, 145 of them, and before any board goes live an automated check blocks it from publishing if it breaks its own rules. The whole thing runs automatically every day: capture, judge, audit, verify, publish. No vendor-specific store exclusions exist.
We would rather someone find a flaw in our method than trust a number they can't inspect. The point is not that our methodology is beyond debate, the point is that the debate should happen around a visible, repeatable standard instead of around marketing claims.
Max: Three things. First, demand the definition behind every number, what counts as automated, what stops the latency clock, who picked the quality score. Second, configuration beats model: the same vendor scores well on one store and near zero on another, so the deployment you'd actually run is what matters, and testimonials and demos hide that. Third, the most common failure in the field isn't a wrong answer, it's a wall or a loop: authentication demands, repeated clarifying questions, handing everything to a human. Those are guardrail problems, and they're cheap to fix once you can see them.
The full methodology, rubric and live scoreboard are public at evals.gorgias.com. Every number in this piece comes from the September 9, 2026 board, ranked over its 90-day window.
TL;DR:
Getting more out of your Zendesk AI Agent comes down to better configuration. The problem is that auditing your own setup requires time you don't have.
Gaia for Zendesk is a free Chrome extension from Gorgias that clears that backlog in minutes. It connects to your Zendesk account, reads your tickets, and generates the components your AI Agent needs to resolve more conversations without escalation.
Below, you'll find everything you need to get started: how to install Gaia, what it can do, and the use cases teams are already putting it to work for.
Jump to:
Zendesk Suite admins and agents who want to set up or improve their Zendesk AI Agent (and, optionally, Zendesk Copilot).
Throughout this article, "AI Agent" refers to Zendesk's own AI Agent feature, not Gorgias's product. Gaia is the Gorgias-built Chrome extension that helps you configure it.
Gaia for Zendesk is a free Chrome extension built by Gorgias that connects to your Zendesk account and analyzes your real ticket history.
It autonomously transforms that data into the core components your Zendesk AI Agent needs to resolve more tickets without human intervention: guidances, instructions, voice-of-customer insights, and Copilot procedures.
Gaia opens automatically as a side panel on any .zendesk.com page. You choose a workflow, Gaia runs the analysis and generates structured drafts, and you review and approve what should be applied to your Zendesk workspace.
What Gaia can do:
Good to know: Gaia is autonomous in how it analyzes your data and generates recommendations, but nothing is applied without your approval.
How well your AI Agent performs comes down to how well it is configured. Clear instructions, well-defined intents, and up-to-date procedures are what separate an AI Agent that resolves tickets from one that escalates them — and building that foundation manually takes time most teams do not have.
Gaia removes that constraint by turning your existing support data into structured, ready-to-review outputs:
Tip: Teams that define five or more strong guidances typically see a meaningful lift in the share of tickets their AI Agent resolves without escalation. Gaia is designed to help you reach and expand beyond that baseline quickly.
Installation takes about five minutes. You'll need admin access to your Zendesk account to generate an API token.
Make sure you're using Google Chrome or another Chromium-based browser (such as Edge or Brave). Gaia is not available for Safari or Firefox at launch.
Follow these steps:
1. Install the Gaia for Zendesk extension. Go to the Chrome Web Store listing for Gaia for Zendesk by Gorgias and click Add to Chrome. Confirm the permissions to complete installation.
2. Generate a Zendesk API token. In Zendesk, navigate to Admin Center › Apps and integrations › Zendesk API. Enable Token access if needed, then click Add API token. Copy and store the token securely (it will not be visible again).
3. Open the Gaia extension and add your credentials. Click the Gaia icon in your Chrome toolbar, then open Settings. Enter:
4. Click Save. Gaia will validate the connection.
5. Open any Zendesk page. Navigate to any page in your Zendesk account. Gaia will appear as a side panel where you can select a workflow and begin.
Here are the four most common ways teams use Gaia for Zendesk.
Best for: Teams already using Zendesk AI Agent or Answer Bot but not reaching their automation goals
Select Improve my AI Agent. Gaia analyzes escalated tickets against your current guidances to identify missing intents, unclear instructions, and outdated logic, then proposes prioritized improvements.
Best for: Teams starting without an established AI configuration
Select Create my first instructions. Gaia generates a foundational set of 15 instructions covering common ecommerce scenarios (order status, refunds, cancellations, shipping, returns).
Best for: Support, CX, and operations teams planning improvements or reporting on performance
Select Analyze my tickets. Gaia summarizes ticket volume, top intents, and escalation drivers to highlight where automation or process improvements will have the greatest impact.
Best for: Teams using Zendesk Copilot who want consistent, scalable agent workflows
Requires the Copilot add-on in Zendesk. Select Create my first procedures. Gaia converts real agent behavior into structured WHEN/IF/THEN procedures that standardize how common scenarios are handled.
Gaia connects to your Zendesk account, reads your ticket history, and shows you exactly where your setup is falling short. Install the free Chrome extension and run your first analysis in under a minute.
The best in CX and ecommerce, right to your inbox

TL;DR:
Your ticket volume number is probably wrong. If customers are reaching you through email forwards, Slack DMs, or channels that bypass your helpdesk, those tickets aren't being counted, and your SLA reporting is built on incomplete data. This guide covers how to get an accurate count, break it down by channel and category, and use your vertical benchmark to figure out whether your volume is actually a problem or just normal for your industry.
Ticket volume is the total number of customer inquiries your support team receives across all channels — email, live chat, phone, social media, and contact forms — within a specific time period. It is the most direct measure of your team's workload.
Do not confuse it with contact rate. Contact rate = tickets ÷ orders (or customers). That normalized number is more useful for benchmarking and planning because it accounts for business growth. Raw ticket volume tells you how busy your team is. Contact rate tells you whether support demand is outpacing your business.
Start by looking at the last 30 days of customer conversations, no matter where they currently live.
Pull these four numbers:
Here’s how to pull that data depending on your setup:
Open your inbox or Sent folder and filter by the last 30 days. Count how many customer conversations came in during that period. You can also copy subject lines into ChatGPT or Claude to group conversations by topic.
Go to Inbox > Conversations and review your recent conversations. Count how many messages you received and look for repeated themes or questions.
Most helpdesks have ticket reporting or exports built in. Search “export tickets” or “ticket report” in your platform’s help center. From there, you can pull:
If a large portion of customer questions are still happening in untracked places like Slack DMs, personal inboxes, or Instagram comments, your reporting is incomplete. Before optimizing support operations, route customer conversations into one shared system so you can accurately measure volume, response times, and recurring issues.
A raw ticket count tells you how busy your team is. The breakdown tells you what to fix.
|
Category |
What high volume signals |
What to do |
|
"Where is my order?" |
No proactive shipping updates; poor tracking page |
Automate WISMO with AI Agent; add tracking link to order confirmation |
|
Returns and exchanges |
Confusing return policy; no self-serve portal |
Add a clear returns page; enable self-serve exchange flows |
|
Sizing and product questions |
Weak product page content |
Add size guides, FAQs, and fit notes directly on product pages |
|
Account and subscription issues |
Customers can't self-serve basic account changes |
Build or improve your Help Center; enable self-serve account management |
|
Payment and billing |
Checkout friction or unclear pricing |
Fix at the source — this is rarely a support problem |
Run this categorization for your last 30 days. Your top two or three categories are your highest-leverage targets.
Ticket volume only tells part of the story. Track it alongside:
Once you know what is driving your volume, address each category at the source. The goal is to eliminate unnecessary tickets.
Automate the highest-volume, lowest-complexity tickets first. WISMO inquiries, order status checks, and basic return initiations require no agent judgment. An AI Agent connected to your ecommerce platform can handle these end-to-end without a human stepping in. When a question is too complex, the AI escalates it with full context attached.
Build self-service content around your top categories. A Help Center that directly addresses your most common ticket types is the highest-leverage tool for sustained volume reduction. Start with your top five categories. Write one article per category. Surface those articles on relevant product pages, in checkout, and in post-purchase emails — before customers need to search.
Send proactive messages at the moments that generate the most tickets. Post-purchase is the single highest-value touchpoint: an order confirmation that includes a tracking link, estimated delivery window, and a clear link to your return policy eliminates a large share of inbound questions before they are ever submitted.
Measure deflection, not just volume. Deflection rate, the percentage of issues resolved through self-service or automation, is the metric that tells you whether your volume reduction efforts are actually working. Track it weekly alongside CSAT for automated interactions to make sure quality is holding.
The all-industry average is not your benchmark. Ticket volume per 100 orders varies 2.4x across verticals, so comparing yourself to a cross-industry number will either make you complacent or create false urgency.
According to Gorgias platform data from March 2026 across 14 verticals at the $10M GMV band, here is what tickets per 100 orders actually looks like by vertical:
|
Vertical |
Tickets per 100 orders |
|
Electronics |
46 |
|
Vehicles & Parts |
46 |
|
Hardware |
41 |
|
Luggage & Bags |
32 |
|
Home & Garden |
32 |
|
Sporting Goods |
32 |
|
Baby & Toddler |
24 |
|
Business & Industrial |
25 |
|
Animals & Pet Supplies |
25 |
|
Apparel & Accessories |
22 |
|
Health & Beauty |
21 |
|
Arts & Entertainment |
21 |
|
Food & Beverages |
20 |
|
Toys & Games |
19 |
Source: Gorgias Ecom Lab, March 2026
High ticket volume is not always a sign of poor CX — it often reflects product complexity. Electronics brands generate nearly one ticket per two orders because customers have more pre- and post-purchase questions about technical products. Food and Beverage brands generate about one in five. That gap is not a performance difference; it is a category difference.
The right question is not "are we below 10 tickets per 100 orders?" It is "are we above or below our vertical peers?" Find your row. That is your baseline. Then use the reduction tactics above to move below it.
If your ticketing tool uses usage-based pricing, where your bill scales with ticket volume rather than agent headcount, forecasting volume directly affects your budget.
The core formula is simple:
Projected tickets = projected orders × (tickets per 100 orders ÷ 100)
So if you expect 2,000 orders next month and your vertical median is 22 tickets per 100 orders, your forecast is approximately 440 tickets.
But a flat monthly estimate misses the real risk: peak seasons. A volume spike during BFCM that triples your order volume will also triple your ticket count — and your bill — unless you have guardrails in place.
To build a more accurate forecast:
Before signing any usage-based contract, ask two questions: What counts as a billable ticket? And is there a hard cap on monthly charges? Variable billing only works in your favor if you have clear definitions of what triggers a charge and a ceiling on how high costs can go during an unexpected spike.
If your platform bills per ticket resolved by a human agent (not AI), your deflection rate becomes a financial metric, not just an operational one. Every percentage point of additional deflection directly reduces your bill.
Begin by identifying your top ticket categories, then work backward to find the root cause of each one.
From there, layer in self-service content, automation, and proactive messaging to address those root causes directly. The result is a support operation that handles more customers and a team that spends its time on the work that actually requires human judgment.
Book a demo to see how Gorgias helps ecommerce brands reduce ticket volume and improve customer experience at the same time.
{{lead-magnet-2}}

TL;DR:
If you're wondering what it costs to add AI Agent to your Helpdesk, you're in the right place. This article walks through how pricing works, what counts as a billable interaction, and how to think about the investment before talking to anyone on our team.
The good news: there are no seat fees, no per-message charges, and no token-based billing. You pay for conversations your AI actually resolves. If you've looked into other AI tools for customer support and found the pricing models confusing or hard to predict, Gorgias AI Agent works differently.
A billable interaction is counted when the AI resolves a customer conversation entirely on its own. The customer asks something, the AI handles it, the conversation closes. That's one interaction.
If the AI can't fully resolve a conversation and hands it to a human agent, that ticket shifts over to your regular Helpdesk plan. It becomes a standard resolved ticket. You're not charged for both.
A few things that don't count as billable interactions:
This matters most for brands coming from seat-based tools. With Gorgias, your whole team can work in the platform. Agent seats are unlimited. Pricing scales with what your AI is actually doing, not with how many people have access.
Understand the difference between seat-based vs. usage-based pricing.
AI Agent is an add-on to your Gorgias Helpdesk plan. The two are priced separately but work together. Your Helpdesk plan covers all the conversations your human agents resolve. Your AI Agent plan covers the interactions the AI resolves on its own.
When you choose a plan, you select how many automated interactions you want included per month. Depending on your plan, that ranges from 90 to 2,500+ interactions, with custom interaction numbers available for enterprise. You can see the full breakdown on the Gorgias pricing page.
Each resolved conversation costs $0.90 on most plans. Starter plans begin at $1 per resolved conversation. You only pay for fully automated interactions, meaning conversations the AI handles from start to finish without a human stepping in.
The main input is your average monthly ticket volume. From there, you estimate how many of those conversations AI could realistically handle on its own.
Order status updates, return requests, and shipping questions tend to be the highest-volume ticket types AI resolves well. AI Agent actions shows the full range of what it can handle, which makes it easier to estimate your starting number.
Your actual automation rate, meaning the share of total tickets the AI ends up resolving, emerges from usage over time. Most brands start with their most repetitive ticket types and expand from there as they see results.
Related: Which Gorgias plan should you choose?
You're charged an overage fee for each additional automated interaction if you exceed your plan's baseline in a given month. The exact rate depends on your plan tier and whether you're on a monthly or annual subscription.
Generally, the higher your plan tier, the lower your overage rate. Annual plans also carry lower overage rates than monthly plans. So if you're regularly going over, upgrading to a higher tier or switching to annual often works out cheaper than paying overage fees month after month.
If you're on a Support + Shopping Assistant plan, the overage rate is $1.50 per interaction across all paid tiers. If you're on a Support-only plan, rates range from $1.00 to $2.00 per interaction on monthly plans, and $0.83 to $1.67 on annual plans, depending on your tier.
For seasonal businesses, forecasting your customer service volume before peak periods is the best way to choose the right plan size and avoid unexpected fees.
At $0.90 per resolved interaction on most plans, each AI resolution costs less than a human agent handling the same ticket. Once you know what a human-resolved ticket costs your business, the comparison becomes straightforward.
For brands building an internal case for the investment, how to pitch AI Agent to your boss covers the ROI framing in detail.
To see what results look like in practice, how 10 brands transformed customer support into revenue has real ecommerce examples.
AI Agent comes with everything you need to set it up, customize it, and improve it over time:
Learn more: Gorgias AI Agent guardrails: What they are and how to configure them
The best way to get a sense of what AI Agent will cost is to look at your own ticket volume and the types of questions your customers ask most. From there, the right plan becomes much clearer.
If you want to talk through the numbers with someone from our team, book a demo and we'll walk through it with you.
If you'd rather keep exploring first, here are a few good next reads:
{{lead-magnet-2}}

TL;DR:
Helpdesk 2.0 starts with the people who use it most: the agents.
We spent time understanding customer support from the agent's seat. What do they reach for constantly? What slows them down? What does a better workday look like?
Everything we found is in this brand-new update.
Conversational commerce is the new standard.
In customer support, this means customers expect context to remain intact wherever they reach out, whether a conversation starts on social, moves to email, or ends on a call.
This new approach to support has also changed the agent's role. Recurring tickets, like order status checks, shipping updates, and returns, are now handled by AI. What lands in the agent inbox are edge cases that require human judgment and troubleshooting, or tickets that require the full picture.
However, the original Helpdesk was built for a different era of support.
Context was separated across views rather than built into the conversation itself. It's something one in five Gorgias customers flagged, through support tickets, NPS surveys, and conversations with our team. So, we got to work.
Helpdesk 2.0 is the result.
Here's a look at everything that changed.
Conversations have a natural rhythm, one that’s already found in every messaging tool we use. We brought that same layout into the helpdesk.
Say goodbye to the 2000s email interface and hello to chat bubbles. This updated design changes how quickly you can orient yourself and resolve the ticket in one go.

Chats with customers now look like real conversations, using the speech bubble style you’re familiar with on popular messaging apps.
Checking a customer's history used to mean leaving the conversation, an extra step that interrupted what should have been a smooth workflow.
Now, past conversations open in a sidebar next to the active conversation. You can view a customer’s full history, search through their timeline, and open prior tickets without going to a new page.

Check past conversations, orders, and customer details in the brand-new Customer Timeline.
Order information is easier to reference than ever. Open a ticket, and you instantly see the customer's recent orders, marked with product images and invoice details at a glance. Need to dig deeper? Click on an order, and the expanded information appears in the same panel.
For teams using custom integrations, apps are fixed in a quick-access integration menu on the right.

See order details, product images, and totals at a glance on the right panel, without leaving the conversation.
You shouldn't have to dig through a thread to figure out what AI already tried. Now you don't have to.
When AI Agent escalates a conversation, it includes a concise handover summary that mentions the issue, what actions were taken, and why it was passed to your team.

Escalated tickets include a brief AI-generated handover summary, marked in yellow, for quick reference.
We restructured and simplified the navigation. The left sidebar organizes everything into clear categories: Inbox, AI Agent, Marketing, and Analytics, so anyone on your team knows exactly where to go.
To quickly update your knowledge base or adjust a workflow, both now live right in the sidebar. For teams managing multiple stores, switching between them is just as straightforward, accessible from the sidebar, so agents can move between inboxes without breaking their flow.

Agents can switch between stores and their corresponding inboxes directly from the left menu.
Support comes down to the person on the other end of the conversation. We built Helpdesk 2.0 is to make sure they have everything they need to show up for that moment.
The best way to see the difference is to work in it. Start a free trial today.


The supplement industry is not often the first thing that comes to mind when looking to start a new business. It’s crowded, the barriers to entry are low, the margins are thin, and there are some established and well-known brands with large budgets to outspend competitors.
And yet, Campus Protein, a provider of supplement to college students that started in a dorm room in 2010, has managed to carve itself a highly profitable niche and power its way to millions of dollars in revenue.
No, there’s no magic sauce or secret weapon that helped them do it. They have the same access to resources as everyone else. In fact, they have a smaller team than older brands in the space.
The only difference is they focused on one thing that others in the industry weren’t, the customer experience. This is the story of how they did that and dominated behemoths like GNC in colleges across the US.

Before coming up with the idea, founder Russell Saks was just another sophomore at Indiana University. After joining a fraternity, his new friends convinced him to start hitting the gym.
As Russell started getting into fitness, he noticed that every month his friends would head to the local supplements store to purchase $200 to $300 worth of protein and workout drinks. These were the same people who always complained that they didn’t have beer money on the weekends. Yet here they were, spending hundreds of dollars on supplements without batting an eyelid.
In any industry as crowded as the supplement industry, there are always cheaper options. You can go online and buy your supplements at a much lower price than at the local store. However, the drawback is that you have to wait for it. And, as Russell found out, college students never planned ahead and always needed their next tub of protein powder instantly.
Ever the entrepreneur, Russell figured there was an opportunity here. If he could combine the affordability of online prices with the same-day delivery of the local store, he had a business. All he had to do was bulk order product from a low-cost site in advance, store it locally, and then redistribute it to students when they needed it.
As with any business, those initial days were rough. Yes, there was demand and Russell would often sell out each batch soon after they came in, but the margins were razor thin. To maintain cost-effectiveness, Russell sometimes had to take a loss on certain products.
On top of that, Russell found that his life was getting consumed by the fledgling business. To scale it up, he needed help. His friend and first business partner (now Chief Sales Officer), Mike Yewdell, was a fellow student at Indiana University with lots of connections. With his network, they quickly became the go-to source for supplements on campus.
Russell’s next stop was his high school friend (now business partner and CMO), Tarun Singh, who was studying in Boston University at the time. Tarun noticed the same problems at his school and quickly expanded Campus Protein to his school and then the entire Boston area.
The final piece fell into place when they entered into a business competition and won $100,000 to scale up. With the up-front money, they could negotiate deals with supplement makers to improve their margins, and expand to more college to increase sales.
Today, Campus Protein is in over 300 colleges across the US and shows no signs of slowing down. But none of that would have happened if Russell hadn’t been hyper-focused on a certain type of customer and their needs.

One thing Russell learned early on was that college students had very specific needs. Thus, they craved a personalized experience. They needed help with what supplements to buy based on their goals and budget.
At the local supplement stores, Russell noticed that they couldn’t get any of that. Firstly, they sold to everyone so they didn’t have any expertise specific to the college student market. Secondly, they were trained to sell as much product as possible, so they’d often push supplements that weren’t right for the students.
Russell realized that Campus Protein needed to really understand the needs of a college student to own the market. That meant the company needed to hire students who were into fitness. And so the Campus Rep program was born.
A Campus Rep's main job is sales and marketing. They grow awareness for the brand and encourage help other students achieve their fitness goals.
By recruiting Reps in each college, Campus Protein could keep their core team lean while maintaining a large salesforce on the ground.
This has been the real key to their growth. These Reps are their ideal customers, and they hang out with other prospective customers. Thus, they provide a customer experience that’s far better than anything other brands can offer.
Imagine you’re a college student. Before Campus Protein came along, you had to figure out which products to buy, got pressured into buying unnecessary stuff, and ended up with very little money left over.
Today, you probably have a Campus Protein rep in your gym, wearing a branded tank. He’s giving out free tasters, providing you with workout tips and nutrition advice, listens to your goals, and hands you a card with a link where you can buy exactly what you need for much less. How’s that for customer experience?

Campus Protein may be marketing offline with their campus reps but all their sales come from their Shopify website. That’s the best way for them to scale.
Here’s how it works - they have warehouses across the country where they stock product. Because of their deep customer understanding, they know exactly what to stock and what not to stock. The campus reps then go around building awareness, and students head to the website to make their purchase. Because of the warehouse network, they get their products pretty quickly.
Because the actual sale is made online, the website becomes a crucial part of their strategy. If they don’t provide the same level of customer support and care their reps do, they’ll drop the ball and lose the sale. More importantly, they’ll lose trust. One bad experience could hurt their reputation across an entire college.
To replicate the one-on-one support of their reps, they used website chat. In the early days, they started with Zopim Chat. But as they grew, they found that it was too basic for their needs. They couldn’t tell if someone they were chatting with was an existing customer or a new one. They couldn’t tell if it was a new conversation or a continuation of one that happened in a different channel. It was a poor experience for the customer and the company.
Remember, they have a small core team, so they needed a customer support tool that could do the heavy lifting for them. That’s when they came across Gorgias and it allowed them to create an online experience that increased conversions and revenues.
For starters, Gorgias combines all their customer support channels (chat, email, phone, social media) into one unified view, and builds a profile of each customer. When a student chats with them, Campus Protein know if they are a previous customer, can see all past conversations and sales in their dashboard, and can provide relevant support.
Compare that to the typical support you get when you’re forced to repeat your previous conversations each time you chat with someone.

To speed things up, Gorgias also has macros and templated responses based on the question. For example, if a customer wants to know where their order is, Gorgias presents the support agent with a templated response that pulls in the customer’s order details from Shopify. With just a click, the support agent can answer the question in near real-time.
Automations like this also frees up time for support agents to provide more detailed answers to complicated questions, like when a student asks for nutrition advice. Again, they can provide the same level of caring support that reps do and this helps increase sales.
Another way they increase sales is by detecting if customers are spending a lot of time on a certain page and initiating a chat with them. For example, if someone is on the checkout for too long, Gorgias automatically pops a chat and ask them if they need help. This directly increases conversions.

Perhaps the most important way Campus Protein uses customer support to increase revenues is by converting feedback into website and product changes. For every question that comes in, they try to understand why it wasn’t obvious on the website, and make the appropriate change. This leads to fewer tickets of the same type and higher conversions.
At the end of the day, Campus Protein is just another retailer. In an industry like supplements, anyone can replicate their model, or existing brands like GNC can enter the market. So why hasn’t that happened yet?
Like Warren Buffett says, every business needs to have a moat, something that defends them against competition. In Campus Protein’s case, it’s their deep customer knowledge and the personal level of support they provide.
A college student is introduced to Campus Protein via the local rep. They’re nice, helpful, and remember the student’s name each time. When the student goes online, they have the same experience. Their previous conversations are remembered and even their most complicated questions are answered with care.
Now, you may not be able to create a rep army like Campus Protein for your eCommerce business, but you sure can create an online customer experience that sets you apart from others in your industry.
With Gorgias, whenever a customer creates a ticket on any channel, you have all their information like previous conversations and sales, right there. Instead of asking the customer if they’ve written in before or what their order numbers are, you can get straight to the important stuff. And with all the templates, macros, and automations available, you can do it in minutes.

When a customer has to decide between purchasing at a store where they forget about you after the sale, versus one where they treat you like a friend and remember you a year later, which do you think they’ll choose?
Give your customers a great experience and, like Campus Protein, you’ll have a business that keeps going up.


Aircall is a cloud-based call center software made for support teams. With Aircall, support agents can track everything from A-Z, on any device, with zero hardware to manage. The right tool to increase agent efficiency and customer satisfaction!
After listening to early customer feedback, we quickly realized we needed to find a phone integration that empowered users to manage voice calls as easily as emails or chats.
Traditional helpdesk integrations simply log calls as tickets. We wanted to go one step further and associate the phone call with the right customer. This way, agents can see the full conversation history between the brand and the customer.
By building Aircall’s cloud-based phone into the Gorgias platform, agents can also quickly edit orders while on the phone based on the case history they see. After a call has ended, all notes will be added to the correct customer’s profile along with a link to the full call recording.

Looking back, the partnership has been mutually beneficial and seamlessly implemented.
Aircall has a well-documented API that our dev team could easily use. We were able to build a working and robust phone integration with Aircall in just a few hours. Four days later, after QA testing, the new solutions were fully functional and ready to use.
Since Gorgias and Aircall both seek to provide the best customer experience possible, cross-company visibility has become a valuable source of new leads and sales. Furthermore, we conduct regular catch-up meetings and share a Slack channel to make sure both teams work hand-in-hand to create the best integration and the best results. The partnership with Aircall is super valuable for both our customers and our respective companies and we strongly recommend each others.
If you're already a Gorgias customer, head to your account and go to Integrations to connect Aircall. If not, you can create an account here and get started in a few minutes.

Last thursday, we organized our first event at Gorgias. It was the perfect opportunity to celebrate our new round of funding and recent moving to a new office in SOMA, while discussing brand culture and customer experience.
Special thanks to our speakers Renee L. Halvorsen from Marine Layer, Alicia Levine from Sunski, Dorian Greenow from Keto-Mojo and Anthony Benedettini from Dry Farm Wines.
![]() |
Here are the key takeaways you should remember:
You missed our event? Don’t worry, it was the very first of many!
Curious about how Gorgias can optimize customer service? Create an account here and get started in a few minutes!

At Gorgias we've been very fortunate to work with some amazing people who did their internship with us:
Amit Poonia
Astrid Parmentier
Emilie Drouin
Hadrien de Lamotte
Ram Goli
Thank you all for your work!
Their contributions big and small make an indispensable part of what Gorgias is today and what it will be in the future. We are very grateful for their hard work, and we want to continue working with them after they finish their studies. To make returning more attractive for them, we've decided to take into account their stock option vesting period if they ever decide to return as full-time employees.
Interns that decide to return to Gorgias within a limited amount of time and choose to take our stock options offer upon the start of their full-time employment will have an accelerated schedule of their stock option vesting period. The offer will be judged case by case with our board's approval.
Let's take the example from our friends at Cockroach Labs (which this decision was inspired from):
For example, our standard option vesting schedule is that 25% of the stock options vests after 12 months of service from an employee’s start date (the “cliff”), and the remaining option vests in equal installments over the following 36 months of continuous service. However, if an intern spent four months with us, on their hire date, they would only have eight months until they hit their one-year cliff date and vest 25%.
We hope that by doing so, we're showing that we're taking their time seriously and we show our intention to work with them beyond their internship.

Recharge is the most popular subscription app in the Shopify app store and is the preferred solution for Shopify Plus stores. Over 10,000 Shopify merchants chose ReCharge to help sell products on a recurring basis, including stores like Dr. Axe, Hubble Contacts, and 5 Hour Energy.
The challenge is, when a customer has an issue with their subscription, the support team needs to jump between their helpdesk, Shopify and the ReCharge platform to fix the problem. This negatively impacts response time. Agents end up wasting hours per week going to ReCharge to skip a box for a customer, edit a subscription, etc. One of the key advantages of using Gorgias is to manage all your customer support in one place. A few months ago, our customer Darn Good Yarn asked us to build an integration with ReCharge. They no longer wanted to switch between ReCharge, Shopify and their helpdesk. This was completely aligned with our vision, so we decided to build it.
Today, we're excited to announce we've partnered with ReCharge to launch this integration.
Here are the key benefits:
“Gorgias gives us a holistic view of our customers. This way we can provide them with fast and personalized help”
Nicole Snow, DarnGoodYarn
Let’s take the example of Averill John. She wants to cancel her subscription to the Yummy Box and has just sent an email to your support.
Here is how your helpdesk looks like:

You can see that Astrid has been assigned to this ticket and that this ticket is tagged “Ambassador”. It means that Averill is one of your super loyal customers.
On the right, you can see the ReCharge account data of Averill. Here, Averill has a monthly subscription to the Yummy Box and will be charged on the 15th of October.
Astrid can skip the October charge in one-click on the “Skip charge on subscription” button. It will immediately set the action within ReCharge. Response time? Less than 1 minute!
If you're already a Gorgias customer, head to your account and go to Integrations to connect ReCharge. If not, you can create an account here and get started in a few minutes.

One of the key advantages of using Gorgias is to provide a unified support experience to your customers across all channels. A few months ago, some of our customers asked us to build a phone integration. Traditional helpdesk integrations simply log calls as tickets. We wanted to go one step further and associate the phone call with the right customer.
Today, we're excited to announce we've partnered with Aircall to build this integration.
Aircall arms small-to-medium sized business (SMBs) with a phone system built for modern business. With zero hardware to manage, dozens of integration options to explore, and the ability to add local numbers in more than 40 countries, support teams can easily provide phone support in minutes.

Here are the benefits of this new integration:
If you're already a Gorgias customer, head to your account and go to Integrations to connect Aircall. If not, you can create an account here and get started in a few minutes.

Today, we’re thrilled to announce we’re joining the Shopify Plus Technology partner program.
Over the past few months, we’ve worked with some incredible Shopify Plus merchants like Darn Good Yarn, Fjallraven and Frichti, who serve tens of thousands of customers every month. What they all had in common was a shared commitment to maximizing the efficiency of the customer service team to keep delivering high-quality support as they grow.
We’ve worked with other technology partners, like LoyaltyLion, in order to provide merchants with a holistic view of their customers when they respond to them in an effort to continue delivering best-in-class support interactions. We’ve also worked with the Plus team to leverage the latest features of the Shopify Plus API, to allow agents to create customized solutions for their customers, For example, creating personalized gift cards based on support conversations. Also, check out the guide we wrote comparing Shopify and Shopify Plus for an idea of the additional functionality and benefits ecommerce business owners get when they upgrade to Shopify Plus.
Using our technology, we’re proud to announce that our Shopify Plus customers have managed to improve their support request treatment time by 30%.
By joining the Technology Partner Program, we’re excited to take our collaboration with Shopify Plus and Shopify Plus merchants to the next level, by further enabling more customers to improve their customer service.
"We are glad to welcome Gorgias to the Shopify Plus Technology Partner Program. We’re particularly excited about how they’re helping our merchants provide efficient & personalized customer support, and hope they can help more of them."
Jamie Sutton, Head of Technology Partnerships, Shopify Plus

Great news! Today, we're announcing a new integration with LoyaltyLion. LoyaltyLion is a digital loyalty framework that gives ecommerce stores innovative ways to engage and retain customers.
Our mutual customer Darn Good Yarn uses it to successfully increase customer retention. When they switched from Freshdesk to Gorgias to manage customer support, they wanted to leverage their loyalty program for customer support.
We used their feedback to build the integration with LoyaltyLion, which they have been using for a couple months in beta. Today, we're excited to make it available to all our users.
Here are some of the benefits of this integration:

Overall, this allows your team to use your loyalty program for customer service.
"We love being able to issue our customers loyalty points directly from Gorgias! It's a great way to boost efficiency and also customer retention."
Chloe Kesler, Customer Support manager at Darn Good Yarn
The integration is immediately available on your Gorgias account. If you don't have an account, you can create one here. Then, follow the instructions in our documentation and you can get started!


