

TL;DR:
Industry benchmarks for ecommerce are hard to come by. Most of what's out there is self-reported, survey-based, or too aggregated to be usable. Teams are left wondering whether their AI adoption is on par with industry standards or if their response times are costing them revenue.
That's a gap we're in a unique position to close.
Gorgias processes millions of customer conversations across thousands of ecommerce brands every day. This has given us a rare, unfiltered view into how the industry operates. But until now, we’ve kept those insights largely internal.
Today, we're making it public with the Ecom Lab.
The result is years of first-party data from thousands of ecommerce brands, packaged into findings that give teams a real foundation to build their strategy on.
The Ecom Lab is Gorgias's public research hub for ecommerce. It publishes insights and reports on AI adoption, support performance, financial impact, and industry trends.
The goal is simple: give teams a real baseline to measure against and to uncover the industry's inner workings.
Metrics that actually move decisions.
The Ecom Lab publishes metrics that matter to ecommerce professionals, including AI adoption rates, first response times, CSAT scores, conversion rates, and ticket intents, all broken down by brand size, GMV tier, and industry vertical.
For the first time, teams can see exactly where they stand in comparison to the broader market.
AI is Everywhere reveals why roughly 4 in 5 ecommerce brands still haven't deployed AI in customer-facing support.
Stop Benchmarking Against the Average argues that support teams should benchmark response times against their specific industry vertical rather than the overall average.
Most Brands are Overpaying for Support breaks down the actual cost of support ticket volume and what happens when AI handles the load.
Four months ago, our analysts were dealing with a barrage of questions. "What's our ARR by segment?" "Build me a dashboard for this quarter's pipeline." Quick asks piled up behind complex deep dives. Stakeholders waited for answers that should have taken seconds, and analysts spent their time fielding requests instead of doing the strategic work that creates the most value.
Today, anyone at Gorgias can ask a question in plain language and get an accurate, contextualized response in seconds. Not from a colleague or dashboard, nor from a generic answer from the internet. But a response built on our business context. We call it Cortex, our flagship internal AI agent.
In two months, Cortex went from an idea to fielding thousands of questions every week, recommending actions across the business, and deprecating the need for manual dashboard creation. While most companies right now are treating AI as an initiative — at Gorgias, AI is already part of how we work. 72% of Gorgias employees use Cortex each week, and that number is only growing.
We didn’t achieve this by simply plugging a large language model into our stack. LLMs are a critical part of the equation, but they aren't the driving force — it’s everything else under the hood: the infrastructure, context, platform architecture, and the team that brings it all together.

The instinct across many companies today is to start with the model, pick a provider to solve a specific challenge, or invest heavily in getting the data right. All reasonable starting points, but most of them solve for one use case. Underneath that approach is a framing problem: seeing AI as an initiative — something you assign and measure. Seeing AI as another tool your company uses versus how your company operates.
We started somewhere different. Every company is built on four pillars: customers, people, product, and decisions. AI investments tend to place heavy emphasis on the first three. We started with the fourth. Our bet was that if we built everything around the need to make effective decisions first, asking what Gorgias needed to know to operate well, then our AI would become dramatically more powerful.
Cortex is our flagship internal AI agent, and the product where we established the tenets that now run through everything else we build: composable and modular infrastructure, governed context, and accessible from wherever decisions happen. Cortex lives in Slack, as well as across LLM vendors, in its own browser extension, and even on its own dedicated internal site.
Cortex doesn’t stop at answering questions. It can read and write to Notion, file Linear tasks, create HTML apps, automate signal delivery, and more. It operates across every layer of our stack, from dashboards to data pipelines, because we designed it as one integrated system. It is this connection that adds remarkable depth to what people can ask, and what they get in return.

A Sales Lead is pitching and asks Cortex for the full picture of the merchant. In a customized PDF, Cortex lists coverage gaps, pre-sale intent signals, and product fit options. Everything the sales lead needs to walk in with confidence.
A Senior Product leader asks, "How are we performing against OKR #1, and what can my team do to help accelerate it?" Cortex returns a full ARR breakdown, projected end-of-month attainment, segment-level findings, and connects it all back to company-level strategies. A suite of recommendations customized to the leader, the performance, and the signals that bridge how they can support our goals. The kind of answer that used to take someone a week to put together.
These aren't simple lookup queries. They require deep business context spanning multiple areas. Cortex handles these because its Decision Engine gives it the information to reason against governed data, metric definitions, and business context, turning a generic answer into a credible one.
Overnight, teams have built Cortex into how they work. They’re spending less time searching and more time finding answers, not because they were told to, but because Cortex reduced the distance between question and decision.
Cortex’s modular infrastructure allows us to experiment and add new capabilities freely. We’ve already built two more internal AI agents made for entirely different use cases, but using the same Decision Engine as Cortex.
GAIA, our internal experimentation AI Agent, helps our customers identify opportunities in their AI Agent Guidance design. It takes institutional knowledge across our teams and turns it into a scalable system that drives automation and value to our customers. Our CEO, Romain Lapeyre, has been its most vocal advocate since day one.
When we needed a platform for investor readiness and board preparation, we built Oracle. Our board decks and talk tracks are informed and built with the same AI, and our numbers are validated every step of the way.
We’re continuing to expand new AI agents internally, exploring how they can create value for customers and our own teams.
When AI handles thousands of analytical questions each week, the highest-value work for a data team shifts permanently. Late 2025, we repositioned from a Data Analytics function into a Decision Intelligence function — a structural change in what we own and how we operate.
Today, our analysts focus on the most sensitive, complex, and forward-looking decisions and analyses. They partner more deeply with stakeholders by driving next steps from signals. They're even building entirely new capabilities that didn't exist in their role descriptions months ago. Things like AI skills for Cortex, context curation, and insight and recommendation delivery. The role of the analyst hasn't diminished. It's expanded to encompass the most meaningful work an analyst can do: driving outcomes and ensuring those decisions can achieve them.

Our business support model has changed, too. Instead of embedding analysts and dedicated engineers within functional teams, we align capacity to the highest-impact company objectives and move fluidly across them. This model works even better because Decision Intelligence brings together both analytics and engineering teams under one roof.
Elliot Trabac leads our Data, Context and AI Engineering teams. The Decision Engine, Cortex, GAIA, and the platforms I've described exist because of the infrastructure his team innovated and built from the ground up. Noemie Happi Nono leads our Decision Strategy and Operations team, driving decision outcomes with stakeholders, advancing the development of Cortex skills and capabilities, and pushing into new areas of analysis every day.
Together, they're shaping what a modern data function looks like when AI becomes a standard building block for how a company operates.
The question of ROI is long gone. AI has opened the floodgates to more trusted and meaningful signals than ever. The natural next evolution is Proactive Intelligence, signals surfaced toward what you need to know, before you ask. And we're already building this because our architecture is designed to support it.
In the coming weeks, members of the Decision Intelligence team will go deeper into themes I've touched on here. Yochan Khoi, a Senior Analytics Engineer on our team, recently published a technical walkthrough of our context layer and will go further into building context strategies that scale. Others will cover infrastructure, analytical partnerships, evolving data assets into decision assets, and the cost and efficiency gains that make sustained AI investment viable.
AI hasn't changed the most important element of data and analytics functions — delivering outcomes — but it has raised the bar for what it looks like and how far we can take it. We’re just getting started.
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TL;DR:
The page-based shopping experience dominated for decades. Customers would search, browse, compare, abandon, get retargeted, return, and eventually buy (sometimes).
That journey is no longer the only option.
Shoppers are turning to chat, messaging, and AI-powered tools to find what they need. Instead of clicking through product pages or reading static FAQs, they ask questions, have back-and-forth conversations, and get answers that move them closer to a purchase in real time. The path to checkout has changed, and the brands that recognize this are pulling ahead.
Read our 2026 State of Conversational Commerce Report to learn more about conversation commerce trends from 400 ecommerce decision-makers and 16,000+ ecommerce brands using Gorgias.
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The traditional shopping journey was a solo experience. A shopper had a need, searched for options, browsed across sessions, and eventually made a decision — often days later, after being retargeted multiple times. Support only entered the picture after the purchase.

The conversation-led journey collapses that timeline:
What used to take days now takes minutes. Discovery, evaluation, and purchase happen in a single thread.
79% of brands agree that AI-driven conversational commerce has increased sales and purchase rates in their business. When brands were asked to rank the highest-return areas:
Those numbers reflect something important: the value of conversation compounds. Faster support reduces friction. Better retention raises lifetime value. More confident shoppers buy more often and spend more per order.
The brands seeing the biggest returns aren't just using AI to deflect tickets. They're using it to create one-to-one shopping experiences at scale.
Looking at AI-only influenced orders across key verticals like Apparel and Accessories, Food and Beverages, Health and Beauty, Home and Garden, and Sporting Goods, the growth across a single year was significant.





Across industries, ecommerce brands saw AI step into conversations, reduce shopper hesitation, and drive higher QoQ conversion rates.
Learn more about AI-powered revenue generation in the full 2026 Conversational Commerce Report.
84% of brands say the strategic importance of conversational commerce is higher than it was a year ago. 82% agree it will be mainstream in their sector within two years.

That shift is registering at the leadership level because of what conversational commerce does to the buying experience. Creating one-to-one touchpoints earlier in the journey drives higher AOV, shorter buying cycles, and stronger purchase rates. Shoppers who get real-time answers to their questions are more confident.
TUSHY, known for eco-friendly bidets and bathroom essentials, is a useful example of what happens when you take conversational commerce seriously.
Bidets aren't an impulse purchase. Shoppers have real questions about fit, compatibility, and installation. Those questions used to go unanswered until the CX team could respond, often after the customer had abandoned the cart.
TUSHY used Gorgias's AI Agent and shopping assistant capabilities to automate pre-sales support. AI Agent engaged shoppers in real-time conversations, addressed their concerns directly, and built confidence at the moment of highest intent.
This resulted in a 190% increase in chat-based purchases, a 13x return on investment, and twice the purchase rate of human agents.
You don't need to overhaul your entire operation to start seeing results. The most effective approach is to start where the impact is clearest and expand from there.
A few places to begin:
Want to see the full picture of where conversational commerce is headed in 2026? Read the full report to explore the data, trends, and strategies shaping the next era of ecommerce.
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TL;DR:
A year ago, ecommerce brands were still debating whether AI was worth the investment. That debate is over. Today, nearly every ecommerce professional uses AI to do their job.
The shift isn't just about adoption. It's about what AI is used for and how brands measure its impact. Support automation was the entry point. Now, AI is embedded across the full operation, from product recommendations to inventory control to real-time shopping conversations.
In our 2026 State of Conversational Commerce Report, we break down trends on AI usage among 400 ecommerce decision-makers and 16,000+ ecommerce brands using Gorgias.
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If we rewind 12 months ago, the industry was still split on AI. Some ecommerce professionals were excited, but most were still hesitant. In 2024, 69% of ecommerce professionals used AI in their roles. By 2025, that number reached 77%. In 2026, it hit 96%.

The confidence numbers back it up. 71% of brands say they are confident using AI for ecommerce, and 73% are satisfied with its business impact.
In early 2025, only 30% of ecommerce professionals rated their excitement for AI at 10/10. Today, zero percent of respondents describe themselves as hesitant about AI.

Using AI in ecommerce is not new. In fact, it dates back to the 1980s with the invention of algorithms and expert systems. And if you’ve ever leveraged similar product recommendations or chatbots, you’ve already integrated AI into your ecommerce stack.
Modern AI is far more sophisticated.
With the rise of agentic commerce and conversational AI, brands began leveraging AI agents to automate the processing of repetitive support tickets. That’s still happening today, but the scope has expanded beyond the support queue.

Ecommerce brands are deploying AI across every layer of their operation:
When brands were asked which channels contribute most to their AI success, conversational channels dominated. Social media messaging led at 78%, followed by SMS at 70%, and website live chat at 51%. Shoppers want fast, personal conversations, and AI is the best way to deliver that at scale.
Learn more about AI adoption, perception, and use case trends in the full 2026 Conversational Commerce Report.
For decades, customer support success meant fast response times and high satisfaction scores. Those are still important indicators of success, but leading brands are adding revenue-focused metrics to their dashboards.
91% of brands still track CSAT as a measure of AI's impact. But 60% now include AOV as a top indicator, and higher-revenue brands earning $20M+ are focusing on metrics like total operating expenses, cost per resolution, incremental revenue, and one-touch ticket rate.

AI can now start a conversation, ease customer doubts, sell, upsell, and recover abandoned carts in a single conversation. When you’re only measuring CSAT, you’re ignoring the real ROI of conversational AI investment.
Virtual shopping assistants now proactively engage shoppers, adapt to their needs in real time, and offer contextual product recommendations and upsells. When the moment calls for it, they can close the deal with a targeted discount.
Gorgias brands using AI Agent's shopping assistant capabilities nearly doubled their purchase rates and converted 20–50% better than those using AI Agent for support only.
Orthofeet, the largest provider of orthopedic footwear in the US, is a concrete example of this in practice. Using Gorgias, they achieved:
The data tells a clear story: AI has evolved beyond a tool for handling tier 1 support tickets. It’s a core part of your revenue generation strategy.
57% of brands are already using AI for 26–50% of all customer interactions, and 37% expect that share to rise to 51–75% within the next two years. The brands building toward that range now are the ones who will have the operational advantage when it matters most.
The practical question isn't whether to invest in AI. It's where to focus first. Based on where brands are seeing the most impact, three priorities stand out:
Want to go deeper on the full 2026 conversational commerce trends? Read the complete report for data across every major AI use case in ecommerce.
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TL;DR:
The way shoppers buy online has shifted and customers are at the center.
They no longer want to scroll through product pages, dig through FAQs, or wait 24 hours for an email reply. They open a conversation, ask a specific question, and expect a useful answer in seconds. Brands that can’t deliver these experiences at scale are seeing customer hesitation turn into abandoned carts and lost revenue.
This shift has a name: conversational commerce. It's the practice of using real-time, two-way conversations as your primary sales channel, through chat, AI agents, messaging apps, and voice.
What started as an experiment for early adopters has become a key growth lever, with 84% of ecommerce brands treating conversational commerce as a strategic pillar this year vs. last year.

We surveyed 400 ecommerce decision-makers across North America, the U.K., and Europe to understand how conversational commerce and AI are reshaping the ecommerce landscape. These findings are complemented by aggregated and anonymized internal Gorgias platform data from 16,000+ ecommerce brands.
The State of Conversational Commerce in 2026 trends report breaks down all of the findings, including five key trends shaping the ecommerce landscape.
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A few years ago, adding an AI chatbot to your site that could provide tracking links and Help Center article recommendations was a differentiator. Today, it's table stakes. McKinsey found that 71% of shoppers expect personalized experiences, and 76% get frustrated when they don't get them.
Right now, most ecommerce professionals use AI, with 93% having used it for at least 1 year. Enthusiasm is accelerating quickly, with only 30% of ecommerce professionals rating their excitement for AI at 10/10 in April 2025. Similarly, while AI adoption rose steadily year over year, it reached a clear peak in 2026.

The use cases driving this adoption are practical and high-volume:

These are the tickets that flood brands’ inboxes every day. AI agents resolve them instantly, without pulling teams away from conversations that actually require human judgment.
Explore AI adoption and use case data in more depth in the full report.
The traditional ecommerce funnel, visit site, browse products, add to cart, check out, is losing ground. Shoppers now discover products on Instagram, ask questions via direct message, and complete purchases without ever visiting a website.

Conversational AI is actively increasing revenue, with 79% of brands reporting that AI-driven interactions have increased sales and conversion in their business.

The practical implication is that every channel is becoming a storefront. Creating personalized touchpoints with customers earlier in the journey, through proactive engagement, is impacting the bottom line.
Read the full report to explore how AI conversions have increased QoQ by industry.
Pre-purchase hesitation is one of the biggest conversion killers in ecommerce. A shopper lands on your product page, has a question about sizing or compatibility, can't find the answer quickly, and leaves. That's a lost sale that had nothing to do with your product.
Conversational AI changes that dynamic. When a shopper can ask a question and get an accurate, personalized answer in real time, the friction disappears.
Brands using Gorgias saw this play out at scale in 2025. When AI Agent recommended a product, 80% of the resulting purchases happened the same day, and 13% happened the next day.

Brands are further accelerating the buying cycle through proactive engagement. On-site features such as suggested product questions, recommendations triggered by search results, and “Ask Anything” input bars drove 50% of conversation-driven purchases during BFCM 2025.
Explore how AI is collapsing the purchase cycle in Trend 3 of the report.
There's a persistent narrative that AI is making CX teams redundant. The data tells a different story. 62% of ecommerce brands are planning to grow their teams, not cut them. But the scope of those teams is changing.

New roles are emerging around AI configuration and quality assurance. Teams are investing in technical members to write AI Guidance instructions, develop tone-of-voice instructions, and continuously QA results.
CX teams are also bridging the gap between support goals and revenue goals, as the two functions increasingly overlap.

The result is CX teams that are more technical than they were before. Agents who once spent their days answering repetitive tickets are now spending that time on higher-value work: complex escalations, VIP customer relationships, and improving the AI systems and knowledge bases that handle the volume.
Learn more about the evolution of CX roles in Trend #4.
Despite increasing AI adoption, data shows that ecommerce brands shouldn’t strive for 100% automation. Winning brands are building systems in which AI handles repetitive tier-1 tickets, and humans handle complex, sensitive cases.

AI handles speed and scale. It resolves order-tracking requests at 2 a.m., processes return-eligibility checks in seconds, and answers the same shipping question for the thousandth time without compromising quality.
Human agents handle conversations that require context, empathy, or decisions that fall outside the standard playbook. There are several topics where shoppers still prefer human support.

Successful hybrid systems require continuous iteration, meaning reviewing handover topics, Guidance, and reviewing AI tickets on a weekly basis.
Discover how leading brands are balancing human and AI systems in Trend #5.
The 2026 trends are about expansion and standardization. The 2030 predictions are about what comes next.

Voice-based purchasing is the biggest bet on the horizon. Only 7% of brands currently use voice assistants for commerce, but 89% expect it to be standard by 2030. The vision is a customer who can reorder a product, check their subscription status, or manage a return entirely over the phone.
Proactive AI is the other major shift. Rather than waiting for a customer to reach out, AI will anticipate needs based on browsing behavior, purchase history, and where someone is in their relationship with your brand. Think of it as the digital equivalent of a sales associate who remembers what you bought last time and knows what you're likely to need next.
Explore where ecommerce brands are allocating their AI budgets in the full report.
The brands winning in 2026 are creating smart, scalable systems where AIhandles volume and humans handle nuance. They’re treating every conversational channel as an opportunity to serve and sell.
The data is clear: AI adoption is accelerating, customer expectations are rising, and the revenue impact of getting this right is measurable.
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Eli Weiss, OLIPOP’s CX team. OLIPOP is a drink that is a healthier alternative to soda and has taken the beverage industry by a storm. It has achieved great accomplishments such as generating $10,000 of sales, without any discounts, in less than 15 minutes and has over 2,500 subscribers, making up 35% of their business. Working at the frontlines of customer experience, Weiss emphasizes that a good customer service team is the key to a successful business and he imparts two important takeaways in the podcast. Subscribe to Hello Gorgias on Apple, or listen below.
It's also worth nothing that we're able to get results like these, because of our integration with Postscript for SMS marketing.
Want to try Gorgias? Use Eli's special link, and we'll send you a free case of OLIPOP.
As a special bonus, anyone who listen's to Eli's podcast episode and does a trial of Gorgias using his special link will receive a free 12 pack variety case of OLIPOP.
Customers want to feel like they are an important part of a brand – that they are helping to build the company and that they are not just going through a revolving door. They want to know that they are cared for and not just seen as a walking and talking wallet. By adding a little bit of individuality in each message, even by doing something as simple as referring to them by their first name in an email, it shows the care and consideration that the customer service team has for their clients. Although problems such as shipping estimates and an unsatisfactory drink flavour are out of the team’s control, the customer’s satisfaction is. After all, it is five to ten times easier and cheaper to retain an existing customer than it is to acquire a new one, so it is essential to keep the client base happy.
Asides from making them feel like they are an important part of the company, it is also essential to develop a long-term relationship with them and SMS is a perfect tool to do so. A lot of brands have started to abuse SMS, sending out marketing messages so frequently and without any personal touch that it pushes interested parties away. SMS is an intimate tool, allowing companies to jump into a person’s cellphone, so when it is taken for granted, customers tend to leave. Brands should not always think about the fastest way to make money and bring in customers because, in the end, it can do the exact opposite. By growing at a slower but steady pace, people will begin to follow. They will appreciate the freedom and flexibility and remember this in the long-term.
At the end of the day, everyone is human – especially the customers. They may seem like just another order or a small percentage of the total revenue, but no one wants to be viewed as a ticket number or a computer. It is important to view everyone as an individual and by making each message personal and different for each customer, it demonstrates exactly that. Rather than sending an email that simply says, “here is your refund”, make it unique by acknowledging that the customer is heard and felt. Therefore, while it is good to have a solid macro, it is also important to make it flexible for the team to adjust it.
This also applies to macros for negative experiences. Just as it is important to keep the customers happy, the CX team needs to be content as well. When employees are not valued, they become burnt out, exhausted, and contribute to a high turnover rate. They will not interact with the customers in the way that the company needs so having a macro that they can refer to, it allows for interactions to flow the way they are supposed to. Furthermore, it saves their mental health by letting them take a step back.
Customer service is built on empathy and integrity. A long-term relationship with a client base is impossible if they are not treated properly, but it is also impossible if the customer service team does not get the proper support that they need. Just as marketing needs a large budget for the brand to be successful, customer service needs one as well to thrive. Weiss has seen this experience first-hand and cannot emphasize enough how important it is to remember that everyone behind a computer screen is still a human being.
To speak to Weiss and hear about his enthusiasm for his customers and Gorgias, he can be reached via Twitter at @eliweisss.

No matter what product or service you sell, customer support is always one of the highest priorities. If you don’t give your customers the best support and experience possible, a few things can happen:
The good news is, if you’re here you’re already thinking in the right way -- you want to enhance your support so that it’s seamless for both the customer, and your team.
That’s why all BigCommerce store owners can now integrate with Gorgias to deliver an outstanding customer support experience to consumers.
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Gorgias is all about the customer-first model and this aligned vision with BigCommerce stores can bring your business to the next level.
We touched on that a little bit already, but let’s dive in more on why support actually matters.
Countless business owners view the support side as a cost centre, but when you look at it as more than that, this is when you really start seeing success. By improving satisfaction overall, you’re able to maintain loyal customers, which is key to growing your store. On top of that, you can increase engagement on-site and also across social channels because when people have a good experience with a brand, they love to share the story.
Of course, at the end of the day, it also heavily contributes to sales. Using live chat and other means of customer support channels you can advise people quickly on what the best product for them is. When you create those loyal customers, word of mouth can be one of your strongest driving forces.
Nowadays your audience and customers are everywhere. On top of that, they want the same experience across all channels which can sound very overwhelming. That being said, it is possible to make everything from social media to live chat, phone and beyond (we’ll talk about that in a little bit) work together seamlessly. By making all these channels easier to check on and respond on, it’ll help immensely with organization and responsiveness.
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We all know that the faster you respond the happier the customer will be. The issue is, countless stores have a low response time, and this offers a big opportunity for those who can do better. Not only does it lead to higher customer satisfaction, but it can lead to more sales too.. For instance, if someone is asking your support team about a particular product, there’s a good chance they have other stores open in other tabs, and if you can answer that customer first they may be more likely to go with your product over another.
Lastly, don’t forget that sounding robotic isn’t cool and customers can usually read right through it. By being human, you’re able to have a more personal relationship with customers as opposed to something strictly transactional. By personalizing answers, your customer will truly feel like you care and know them, making it far more likely that they’ll purchase from your store again.
Well, let’s start with a couple words from Iris Schiefer, Sr. Strategic Partnerships Manager, EMEA at BigCommerce. She knows what Gorgias can do to help shop owners out, saying that it “allowsBigCommerce merchants to offer an exceptional support experience and deepen relationships with customers.”
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This is fairly broad, and that’s because there’s lots of ways Gorgias can benefit your BigCommerce store. By using Gorgias, you can actually cut your customer support first response times and ticket resolution time without losing that precious human touch element.
Gorgias allows BigCommerce merchants to offer an exceptional support experience and deepen relationships with their customers. We are strongly aligned in terms of both our values and dedication to providing best-of-breed solutions to our merchants - We couldn't be happier to have Gorgias on board as a BigCommerce partner.
We understand, it sounds too good to be true, but it is possible. So, let’s dive into a few things you’ll be able to do if you integrate Gorgias into your BigCommerce store.
You can connect BigCommerce along with all your communication channels including email, social media, phone, live chat and more to Gorgias. This centralizes everything into one platform so that it's all in one place. This allows you to not miss any requests, and handle responses much faster.
With Gorgias, you can view your customer’s order history easily from the BigCommerce backend. This way, you can ensure speed and accuracy in responses as opposed to switching between tabs or cutting and pasting.
Personalization becomes easy and far less time consuming as well. With Gorgias, you can integrate data provided by BigCommerce like first name, shipping address and much more. This gives you the opportunity to send automatic and accurate messages for a personalized customer experience.
Repetitive questions can get frustrating, but Gorgias also has a function to get to these quickly and easily. You can automate answers to common questions to save valuable time for your team, that way they can focus on new customers and those with more complicated requests.
When you integrate Gorgias, you’re also using advanced machine learning to detect the intent, along with sentiment of each and every message. This means that by learning about tracking updates, return policies and urgency, Gorgias helps set priorities and categorize tickets based on what they’re all about.
Just like every other area of your business, tracking customer support performance is essential. Using Gorgias you can track KPIs to ensure you and your team are on track to delivering incredible support.
By integrating Gorgias, you’ll be able to also integrate with some of the biggest Apps in the BigCommerce Marketplace including Klaviyo, Omnisend, Smile.io and many more.
Now, how do you get started? It’s easier than you might think:
You can find a more detailed step by step guide here.
Are you building out your ecommerce tech stack and seeking more app recommendations for BigCommerce? Check out our lists of:
By the way, if you haven’t already signed up for Gorgias, you can start off by getting a free, 7-day trial to test it out on your BigCommerce store!

The fact is that content marketing can help an eCommerce brand immensely, given that content is a foundational element for visibility in the SERPs, social media engagement, the cultivation of thought leadership and industry authority, lead generation, customer self-service, and other vital business activities.
But the reality is that most blogs fail, and for a variety of different reasons. One of the most prevailing is that it doesn’t generate immediate results, ultimately discouraging future content creation.
However, there are various tactics that merchants can use to cultivate traffic to blogs and boost conversions as a result of those visits.
For merchants who want to take advantage of the benefits that content marketing has to offer, here are seven ways to boost conversions with eCommerce blog content.
One of the best ways to gain more site visitors who turn into paying customers is to create content that targets the intent of the user.
Of course, “user intent” is the reason behind the individual’s Google search. It is the outcome they aim to achieve.
For instance, if a consumer searches "best Bluetooth headphones," the intent behind the user's search is to obtain information that will narrow down their purchase options to just a couple of products.
When looking at how people search, there are three main types of user intents, often referred to as “Do, Know, Go.” Those intents are:
When creating content for a blog, merchants will likely be targeting information queries. These types of searches will result in a consumer finding high-ranking materials that relate to their search for knowledge.

Alternatively, a transactional search will often lead shoppers directly to product pages.
However, this isn’t to say that sellers shouldn’t link to their item listings within information blogs, assuming that the product is relevant to the piece. This can actually be a great way to pull a shopper from the top of the funnel down to deeper stages. More on this momentarily.
The sales funnel model is something that marketers use to delineate the path to purchase that consumers take. While there are numerous iterations of this model, the basics are that:
The job of site owners is to get consumers to move through the entirety of the brand’s sales funnel. Since awareness and research are highly dependent on the content offerings available to shoppers, merchants must craft quality content that targets top-of-funnel prospects.
Optimizing top-of-funnel content relies on uncovering and integrating long-tail keywords into various pieces. Since long-tail phrases are highly-specific and generate less search volume (and more conversions) than broad-head keywords, these phrases are a must.
Fortunately, a variety of tools such as Answer the Public, Keyword Tool, Ubersuggest and many others are geared specifically towards this task.
While all of these tools are extremely useful, Answer the Public is a favorite as it provides long-tail keywords questions that consumers are searching, thereby cluing in retailers even further as to what precisely potential buyers want to know.
In addition to these tools, sellers can also mine incredibly useful information about consumer queries from sites like Quora, Reddit and similar boards.
Speaking of answering questions, we also recommend you host an FAQ page on your website to help customers. Check out our free FAQ template to get started.
While this idea was touched upon slightly with targeting long-tail terms and phrases, there is a lot more to optimizing content for conversions than just plugging in a few keywords.

For retailers to get the visibility required to earn clicks and conversions, it is necessary to optimize blog posts according to Google’s SEO ranking factors. Some tactics that merchants will want to utilize include:
Additionally, while meta descriptions have no bearing on SEO performance, they do influence clicks, which does impact rankings. Therefore, crafting a concise, alluring and accurate meta description is also a necessity.
Linking to a product within a piece of content is a simple yet effective tactic for driving clicks to product pages and earning conversions.
However, the key thing to remember here is that the item must be relevant to the content. If sellers create a blog centered on ways to remedy plantar fasciitis and then include a link to great running shoes, that link will generate very few clicks and even fewer sales.
Alternatively, if a seller talks about and links to shoes or inserts for plantar fasciitis, it is far more likely that the content will earn sales as a result of the internal link.
The point of the post is to solve the reader's problems. If merchants have a product that can achieve that goal, then it is vital to include a link to the item. That said, do not promote products that are not relevant to the piece just for the sake of promotion. Doing so could damage a store’s credibility in the consumer’s eyes.
Social proof has become a necessity in the eCommerce industry. With all the shady dealings that are happening online, consumers want to know that what they are getting is the real deal.
Therefore, including social proof within content and on product pages is a powerful strategy for increasing conversions and encouraging that elusive second purchase.
Some excellent forms of social proof that can be deployed in content or on product pages include:

By providing the evidence that other customers love their purchase, others are more likely to follow the same path.
Visuals are a critical element for content.
Including images throughout blogs dramatically increases the readability of the piece and helps consumers to retain more of the information contained therein. The fact is, nobody likes reading massive walls of text.

Therefore, several ways that merchants can increase the readability of a piece and keep it engaging include:
There are a slew of tools out there for creating such visuals, including Canva, Pablo, Easil and many others.
If merchants are looking to create content that converts, visuals are a must.
No matter if merchants are looking to drive traffic to product pages, get readers to share a post or simply generate comments, including a clear, direct call-to-action is vital to meeting that goal.
The fact is that if a merchant wants to achieve something with their content, they often must make it explicit by letting consumers know what step they should take next.

By including a call-to-action at the end of a piece for visitors to check out a product page or other content, retailers are far more likely to generate conversions than if they were to leave consumers to their own devices.
For retailers who employ tracking pixels, those who visit their site can be retargeted to on Google, through social media and other popular online destinations.
Retargeting is an essential tactic for earning more conversions as consumers have already shown interest in a brand’s offerings–be they content or products.
While some consider retargeting to be an off-putting practice, looking at the facts about retargeting shows that this strategy is extremely useful in reaching consumers, generating sales and optimizing conversion rates.
In today’s attention economy, merchants must remain top-of-mind. Retargeting adverts help them achieve that end.
Creating eCommerce content that drives conversions is critical for merchants to compete in the increasingly crowded online retail industry. Moreover, by targeting user intent with such pieces, sellers can reel in new readers and bolster their customer base while still catering to existing shoppers.
For other ways to grow your ecommerce store, check out our list of ecommerce growth tactics.
Utilize the strategies listed above to help ensure that your company’s content earns the visibility it needs to generate clicks and conversions from shoppers–new and old. Don't have enough time to start a blog? Check out our ecommerce customer service automation guide to see how you can save time by automating many of the repetitive tasks that go into running an online store.

TL;DR:
Re:amaze pricing follows a per-user model that starts at $29 per month for the Basic plan. The platform offers three main tiers: Basic, Pro, and Plus. Each tier adds features like SMS support, advanced reporting, and team management tools.
Annual billing reduces costs by roughly 10%, and enterprise options are available for brands with custom needs. Understanding what you get at each tier helps you decide if Re:amaze fits your support strategy and budget. This guide breaks down each plan and compares Re:amaze to platforms built for ecommerce.
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Re:amaze uses per-user pricing, also called per-seat pricing, where you're charged based on the number of team members using the platform. The three main tiered plans—Basic, Pro, and Plus—each build on the previous tier's features. Annual billing saves you 10% compared to monthly pricing.
A flat-rate Starter plan exists for teams handling fewer than 500 responded conversations per month, offering unlimited users for $59 USD/month. Enterprise custom pricing is available for high-volume brands or those requiring specialized implementation.
|
Plan |
Monthly |
Annual (10% off) |
|---|---|---|
|
Basic |
$29/user |
$26.10/user |
|
Pro |
$49/user |
$44.10/user |
|
Plus |
$69/user |
$62.10/user |
|
Enterprise |
Custom |
Custom |
Re:amaze offers a 14-day free trial with access to all Plus plan features and no credit card required. Billing options include monthly, annual, and volume-based pricing for the Starter plan.
Each tier builds on the previous plan's features, adding functionality as you move up. The Basic plan covers core helpdesk capabilities, while Pro and Plus add multi-brand support, advanced reporting, and team management tools.
The Basic plan costs $29/user/month ($26.10/user billed annually) and includes core helpdesk features for teams just getting started with structured support.
Core features included:
What's not included: multi-brand support, SMS and voice channels, advanced reporting, team management features.
Best for solo support agents or very small teams testing helpdesk software without significant channel or reporting needs.
The Pro plan costs $49/user/month ($44.10/user billed annually) and adds multi-brand capabilities and communication channels beyond email and chat.
Everything in Basic, plus:
What's not included: team management features, satisfaction surveys, co-browse and video calls.
Best for growing brands managing multiple stores or needing SMS and voice support alongside email and chat.
The Plus plan costs $69/user/month ($62.10/user billed annually) and adds team management, performance tracking, and advanced collaboration tools.
Everything in Pro, plus:
Note: The 14-day trial includes all Plus plan features, so you can test team management and advanced reporting before committing.
Best for established teams needing full team management, performance tracking, and collaboration features like screen sharing.
Enterprise pricing is custom and starts around $899/month based on volume and contract terms. This tier is for high-volume brands or those signing annual contracts.
It includes customizable features, volume-based or annual pricing discounts, dedicated implementation, and priority support. Contact Re:amaze's sales team for a quote tailored to your needs.
Re:amaze groups features into categories that matter for support operations: channels, automation, reporting, and team management. Understanding how these features stack across plans helps you compare Re:amaze against ecommerce-specific platforms.
Brands like SkyBell use Re:amaze to manage support across multiple channels, but the platform's strengths lean toward general helpdesk functionality rather than deep ecommerce integration.
Re:amaze offers a unified inbox for email, live chat, and social media channels including Facebook, Instagram, and Twitter. SMS and voice support are available in Pro and Plus plans through integrations with Twilio, RingCentral, and similar providers.
A Shopify integration is available and allows you to view customer order data within tickets. However, this help chat Shopify integration isn't as deeply embedded as purpose-built ecommerce platforms that let you edit, cancel, or refund orders directly from the support interface.
Channels supported:
Re:amaze includes chatbots in all plans, with both prebuilt bots for common queries and custom workflows. Workflow automation (called Macros in Re:amaze) is available across all tiers, along with response templates and proactive messages (Cues).
Automation features available:
AI capabilities focus on tagging and suggestions rather than autonomous resolution. Re:amaze doesn't offer an AI agent that fully resolves and closes tickets without human intervention.
Reporting capabilities increase as you move up tiers. Basic plans include volume, response time, and first response rate metrics. Pro and Plus add satisfaction ratings, tag analytics, and workflow performance tracking.
What's available at each level:
Re:amaze offers limited ecommerce-specific metrics compared to platforms built for online stores. You won't find gross merchandise value (GMV) tracking or detailed revenue attribution beyond basic Shopify order data.
Team management features are concentrated in the Plus plan. Departments allow you to assign conversations to specific team groups, while custom staff roles let you control permissions at a granular level. Staff shifts and vacation tracking help you manage coverage.
Plus plan team management features:
Basic and Pro plans include basic user permissions but lack the structured team management suitable for larger support organizations.
Other platforms to consider include Gorgias, Zendesk, Help Scout, Intercom, Freshdesk, Kustomer, and Tidio. Each platform positions differently: some focus on ecommerce (Gorgias, Kustomer), while others target broader markets (Zendesk, Intercom). Comparing features at similar price points helps clarify what you're gaining or losing.
At comparable per-user pricing, Gorgias offers features purpose-built for ecommerce brands. The platform is a Shopify Premium Partner, meaning it has the deepest possible integration with Shopify's order management, customer data, and checkout systems.
|
Feature |
Re:amaze |
Gorgias |
|---|---|---|
|
Starting price |
$29/user/month |
Similar per-user pricing |
|
Shopify integration |
Available (view orders) |
Premium Partner (edit, cancel, refund in-ticket) |
|
AI capabilities |
Tagging, intent detection |
AI Agent (resolves tickets and drives revenue) |
|
Order management |
View orders |
Edit, cancel, refund directly in tickets |
|
Revenue tracking |
Basic Shopify orders |
GMV tracking, revenue attribution |
|
Built for |
General helpdesk |
Ecommerce-specific |
Gorgias's AI Agent autonomously resolves support tickets and converts browsers into buyers, tracking the revenue impact of every conversation. Order management capabilities let agents edit shipping addresses, cancel orders, or process refunds without leaving the support interface. This level of ecommerce integration reduces resolution time and improves the customer experience during critical moments like order issues or returns.
Evaluating helpdesk software means testing it with real conversations and integrations. Re:amaze's trial gives you access to Plus plan features, which helps you assess team management and reporting before deciding.
Follow these steps to evaluate Re:amaze effectively:
If you're looking for a helpdesk built specifically for ecommerce, book a demo with Gorgias to see how our platform handles support and revenue in one place.
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TL;DR:
Re:amaze works well for basic omnichannel support, but ecommerce brands quickly outgrow its limitations. The platform struggles with limited AI, pricing, and a steep learning curve.
This guide covers 10 Re:amaze alternatives built for ecommerce. We break down their features, pricing, and best-fit use cases to help you choose the right platform for your brand.
Re:amaze is an omnichannel help desk designed for ecommerce and SaaS companies. It brings together email, live chat, social media, and SMS into one inbox, giving teams a place to manage customer conversations. The platform includes a knowledge base for self-service, a chatbot called Cue for basic automation, and native integrations with ecommerce platforms like Shopify, BigCommerce, and WooCommerce.
For small teams managing simple support workflows, Re:amaze does the job. It covers the essentials: a ticketing system, customer timeline views, FAQ automation, and basic reporting. You can handle conversations from multiple channels, including email, chat, SMS, and social, without hopping between tools.
The platform positions itself as an entry-level solution for ecommerce brands that need more than Gmail but aren't ready for enterprise-grade systems. Pricing starts at $29 USD per agent per month.
This list includes both full help desk platforms and specialized AI tools, each evaluated on AI capabilities, Shopify integration depth, omnichannel support, and pricing transparency. We're using Re:amaze as the baseline to show where these alternatives excel.
Gorgias is the best Re:amaze alternative for Shopify brands that want AI automation combined with revenue-driving support. We built Gorgias specifically for ecommerce. Its deep integrations let you manage customer conversations and order operations from one place.

Best for: Shopify-native brands that want AI automation and revenue-driving support
Key features:
Pricing: Starts at $10/month for 50 tickets; scales with ticket volume, not agent count
Limitations:
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Zendesk is the enterprise-grade alternative with extensive customization options and a massive ecosystem of integrations. It's built for medium to large businesses with complex support needs and dedicated IT resources to manage setup and ongoing optimization.

Best for: Medium to large businesses with complex support needs and dedicated IT resources
Key features:
Pricing: Starts at $19/agent/month; most popular plan is $149/agent/month
Limitations:
Intercom is best for product-led growth and SaaS companies that blend support with sales and customer onboarding. The platform excels at proactive messaging and in-app communication, but it's not built specifically for ecommerce workflows.

Best for: SaaS and product-led businesses that blend support with sales and onboarding
Key features:
Pricing: Starts at $39/seat/month; Fin AI charged per resolution ($0.99 each)
Limitations:
Freshdesk is an affordable option that brings enterprise features to growing teams without enterprise pricing. It's a solid middle-ground choice for brands that need automation and analytics but aren't ready to pay premium rates.

Best for: Growing teams that need automation and analytics without enterprise pricing
Key features:
Pricing: Free plan available; paid plans start at $12.02/agent/month
Limitations:
Richpanel focuses on reducing ticket volume through aggressive self-service automation. The platform's Amazon-like customer portal lets shoppers track orders, process returns, and cancel subscriptions without contacting support.
Best for: Ecommerce brands that want to deflect tickets with a self-service portal
Key features:
Pricing: Starts at $100/month for up to 1,000 orders
Limitations:
Frenchie, a pet accessories brand, reduced ticket volume by 50% using Richpanel's self-service portal to handle routine inquiries automatically.
Kustomer is a CRM-style help desk built for enterprise ecommerce brands that want custom setup and people-focused support. The platform organizes conversations by customer timeline rather than individual tickets, giving agents full context for every interaction.

Best for: Enterprise ecommerce brands that want custom setup and people-focused support
Key features:
Pricing: Custom quotes; starts at $29/user/month
Limitations:
Gladly focuses on building customer relationships rather than resolving ticket volume. The platform uses a radically customer-centric approach that shows conversation history across all channels in one continuous thread.

Best for: Brands that prioritize relationship-building over ticket volume metrics
Key features:
Pricing: $150-$180/agent/month (10-seat minimum)
Limitations:

Help Scout is user-friendly and reliable for small to mid-size teams that want simplicity over feature complexity. The platform does the fundamentals well without overwhelming users with excessive configuration options.
Best for: Small to mid-size businesses that want simplicity and ease of use
Key features:
Pricing: Starts at $20/user/month
Limitations:
Tidio is best for live chat and chatbot automation with an emphasis on real-time customer engagement. The platform excels at proactive chat-based support but lacks depth in email and phone channels.

Best for: Ecommerce stores that prioritize live chat and chatbot-driven support
Key features:
Pricing: Free plan available; paid plans start at $29/month
Limitations:
DelightChat is built for WhatsApp-first support, making it ideal for international ecommerce brands with high social media and messaging volume. The platform treats WhatsApp as a first-class channel with broadcast capabilities.

Best for: Ecommerce brands with high WhatsApp and social media support volume
Key features:
Pricing: Starts at $49/month for 1,000 tickets/month
Limitations:
The right platform depends on your specific needs, but there are universal criteria that matter for ecommerce brands.
Start by evaluating Shopify integration depth. Can you edit orders, process refunds, and recommend products directly in the help desk? Platforms like Gorgias offer this natively, while others require custom workflows or third-party apps.
Next, check AI automation capabilities. What percentage of tickets can the AI resolve on its own? Is it trained on your historical data to maintain brand voice? Generic chatbots that can't handle nuanced requests end up creating more work, not less. Look for platforms that report actual AI resolution rates, not just "AI-powered" features.
Consider the pricing model carefully. Per-agent pricing penalizes growth and creates budget unpredictability. Per-ticket or flat-rate models scale more naturally with your business. Calculate your total cost of ownership over 12-24 months, factoring in team growth and projected ticket volume.
The best choice depends on your brand's size, priorities, and tech stack. Here's how the top options stack up for different scenarios when migrating from Re:amaze.
Gorgias is the best overall alternative for Shopify brands that want deep platform integration, AI automation, and revenue reporting in one package. The combination of Shopify integration, AI Agent automation (up to 60% ticket resolution), and revenue reporting makes it purpose-built for ecommerce.
Book a demo to see how Gorgias automates support and drives revenue for Shopify brands.
Zendesk is best for enterprise brands with complex needs that require extensive customization, scalability, and a massive integration ecosystem—but it demands IT resources to manage properly.
Intercom is best for product-led growth and SaaS companies that blend support with onboarding. Fin AI, in-app messaging, and proactive support excel for software, but the platform isn't built for ecommerce workflows.
Ready to switch? Join our buyout program to get full access to Gorgias at no cost until your contract runs out.

TL;DR:
Help Scout's per-seat pricing is straightforward on the surface, but the true cost depends on your team size, support volume, and which features you actually need.
For ecommerce brands, understanding the full pricing picture — tiers, AI add-ons, and integration limitations — is the difference between choosing the right tool and switching platforms six months later.
This guide breaks down every tier, surfaces the additional costs, and compares Help Scout to alternatives so you can make a confident decision.
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SaaS startups and small businesses use Help Scout to manage customer support. The platform combines shared inbox management, a knowledge base, and live chat tools to help teams handle customer inquiries.
Help Scout uses per-seat pricing across three tiers:
Annual billing saves 15-20% compared to monthly. AI Answers is billed separately at $0.75 per resolution.
Help Scout connects with 50+ third-party tools, including Jira, Salesforce, HubSpot, Slack, and Zapier. It also integrates with Shopify and WooCommerce, though these lack the depth of ecommerce-specific helpdesks.
Help Scout's three tiers scale from small teams to enterprise, with each plan adding capacity, features, and integrations. Here's what each level includes.
Feature |
Standard |
Plus |
Pro |
|---|---|---|---|
| Pricing (annual) | $25/user/month | $50/user/month | $65/user/month |
| User limit | Up to 25 | Up to 50 | Unlimited (minimum 10) |
| Shared inboxes | 2 | 5 | 10 |
| Docs sites | $10/user/month add-on | Unlimited included | 5 included |
| Workflows | 150 | 500 | Unlimited |
| Reporting history | 2 years | Unlimited | Unlimited |
| Application programming interface (API) access | Not included | Included | Included |
| Live chat | Not included | Included | Included |
| Advanced integrations | Basic only | Salesforce, Jira, HubSpot | All integrations |
| Single sign-on (SSO) / Security Assertion Markup Language (SAML) | Not included | Add-on | Included |
| Health Insurance Portability and Accountability Act (HIPAA) compliance | Not included | Not included | Included |
The Standard plan suits small teams with straightforward support needs. You get access to 2 shared inboxes, basic workflows (up to 150), and standard integrations with services like Slack and Zapier. Reporting history extends back 2 years.
Key limitations at this tier:
For teams that need a knowledge base, the Docs add-on increases the effective per-seat cost to $35/user/month on annual billing, adding to the hidden costs of limited AI capabilities.
The Plus plan is the most popular tier for growing ecommerce teams. It removes many Standard limitations and includes features that matter for scaling support operations.
What you get with Plus:
Plus represents the best value for teams that need knowledge base functionality, live chat, and advanced integrations. The jump from Standard to Plus doubles the per-seat cost but removes the Docs add-on fee and unlocks substantially more capability.
The Pro plan targets enterprise teams, healthcare organizations, and financial services companies that require advanced security and compliance features.
Pro builds on Plus with:
The Pro tier makes sense for organizations with strict regulatory requirements, complex team structures, or support operations spanning multiple brands or products. The 30% price increase over Plus primarily buys compliance features and advanced security controls.
Beyond the base per-seat pricing, Help Scout charges separately for AI-powered automation and other optional features. These costs can add up quickly if you're not tracking usage or planning for add-ons from the start.
AI Answers is Help Scout's conversational AI feature that automatically resolves customer questions by pulling from your knowledge base. Unlike the base platform, AI Answers uses usage-based pricing at $0.75 per resolution.
What counts as a resolution:
What doesn't count as a resolution:
Help Scout offers a 3-month free trial of AI Answers for new accounts. After the trial, Help Scout bills for usage in arrears each month. You can set spending caps to avoid surprise bills if AI usage spikes unexpectedly.
|
AI Resolutions per Month |
Help Scout Cost |
Gorgias Cost |
|---|---|---|
| 100 | $75 | $29 |
| 500 | $375 | $145 |
| 1,000 | $750 | $290 |
| 2,000 | $1,500 | $580 |
For comparison, Gorgias AI Agent charges $0.29 per resolution, making it 61% cheaper than Help Scout's AI Answers at similar volumes.
Beyond AI usage charges, Help Scout has several add-on costs that affect total cost of ownership:
The most common surprise cost comes from Docs on the Standard tier. A 15-person team needs to budget $35/user/month ($25 base + $10 Docs), not the advertised $25/user/month rate. Over a year, that's an extra $1,800 that doesn't appear in the initial pricing page.
Beyond capacity limits and pricing, the three Help Scout tiers differ in features that matter for ecommerce teams. The feature matrix below focuses on capabilities relevant to online retail operations.
Feature |
Standard |
Plus |
Pro |
|---|---|---|---|
| Shared inboxes | 2 | 5 | 10 |
| Docs knowledge base sites | $10/user/month add-on | Unlimited | 5 |
| Workflows (automation rules) | 150 | 500 | Unlimited |
| Round robin routing | Not included | Included | Included |
| Load-balanced routing | Not included | Included | Included |
| Reporting history | 2 years | Unlimited | Unlimited |
| Custom fields | Included | Included | Included |
| Saved replies | Included | Included | Included |
| Live chat (Beacon widget) | Not included | Included | Included |
| API access | Not included | Included | Included |
| Ecommerce integrations | Basic (Shopify, WooCommerce) | Basic (Shopify, WooCommerce) | Basic (Shopify, WooCommerce) |
| Salesforce integration | Not included | Included | Included |
| Jira integration | Not included | Included | Included |
| HubSpot integration | Not included | Included | Included |
| SSO/SAML | Not included | Add-on | Included |
| HIPAA compliance | Not included | Not included | Included |
For ecommerce teams, the most significant limitation across all Help Scout tiers is the basic Shopify and WooCommerce integrations. Help Scout connects to these platforms through third-party apps, but lacks native features like order management in the ticket sidebar, discount code creation, product recommendations, or self-service order tracking.
Help Scout's published pricing represents list rates. Actual costs vary based on billing cycle, team size, contract term, and negotiation. Understanding these variables helps you avoid overpaying or running into limits that require expensive upgrades.
Help Scout offers both annual and monthly billing options. Annual prepayment saves 15-20% compared to paying month-to-month. For example, a 15-user Plus team pays:
The savings increase with team size. A 50-user Plus team saves $6,000 per year by prepaying annually instead of paying monthly.
Help Scout offers volume-based discounts that aren't published on the pricing page. Discounts typically start at 20+ seats and increase at higher thresholds (50+ seats, 100+ seats).
Typical volume discount ranges:
Volume discounts stack with annual billing savings, making large team deployments significantly cheaper than the published per-seat rates suggest.
2- or 3-year contract commitments unlock 10-20% additional discounts beyond annual pricing. A 3-year contract for a 30-user Plus team might reduce the effective per-seat rate from $50/month to $35-40/month.
The trade-off: you're locked in for the full term with limited flexibility to downgrade or cancel. Multi-year terms work best for stable teams with predictable support needs and low risk of platform switching.
Common surprise costs that increase total spend:
The best time to negotiate add-on costs is during the initial contract. Bundling extra inboxes, Docs sites, or onboarding into the base agreement often results in lower effective rates than adding them mid-contract.
Help Scout competes in a crowded market with platforms offering different trade-offs between features, pricing, and ecommerce focus. Understanding the alternatives helps you evaluate whether Help Scout's pricing represents good value for your specific needs.
|
Alternative |
Price |
Best For |
Limitation |
|---|---|---|---|
| Zendesk | $55/user/month | Enterprise-grade ticketing and reporting | Higher setup complexity and total cost of ownership |
| Freshdesk | $49/user/month | Budget-conscious teams wanting comparable features | More dated interface; similar feature set to Help Scout |
| Intercom | $75-$100/user/month | Teams needing proactive outbound messaging and AI bots | 50–100% more expensive than Help Scout Plus |
| Front | $59/user/month | Collaborative inbox management with shared drafts | No native knowledge base; requires third-party integrations for self-service content |
For ecommerce brands running on Shopify, Gorgias offers an alternative built specifically for online retail. The platform costs less than Help Scout while delivering deeper ecommerce integration and features designed to turn support interactions into revenue opportunities.
|
Feature / Pricing |
Help Scout |
Gorgias |
|---|---|---|
| Starting price | $25/user/month (Standard) | $10/user/month (Starter) |
| Mid-tier price | $50/user/month (Plus) | $60/user/month (Pro) |
| AI automation cost | $0.75 per resolution | $0.29 per resolution |
| Shopify integration | Basic (third-party) | Native with two-way sync |
| Order management | Not included | Included (sidebar view, edit, refund) |
| Discount code creation | Not included | Included |
| Product recommendations | Not included | Included |
| Revenue attribution | Not included | Included |
| Knowledge base | Unlimited (Plus and Pro) | Included (all tiers) |
Gorgias Starter costs $10 per seat per month compared to Help Scout Standard at $25 per seat per month. For small teams, that's 60% lower cost for comparable shared inbox and ticketing features.
At the mid-tier, Gorgias Pro costs $60 per user per month compared to Help Scout Plus at $50 per user per month. The 20% price difference buys substantially more ecommerce-specific functionality.
For AI automation, Gorgias AI Agent costs $0.29 per resolution compared to Help Scout AI Answers at $0.75 per resolution. A team handling 500 AI resolutions per month pays:
The savings compound at higher volumes. At 2,000 AI resolutions per month, Gorgias costs $580 compared to Help Scout's $1,500.
Gorgias is built for ecommerce from the ground up, with Shopify-native features that Help Scout can't match through third-party integrations:
Help Scout's Shopify integration connects through third-party apps like Zapier, which requires manual workflow configuration and lacks the real-time sync and sidebar features that make Gorgias faster for ecommerce teams.
Gorgias positions itself as a conversational commerce platform, not just a helpdesk. Support agents can turn conversations into revenue opportunities through:
TUSHY, a bidet brand, boosted conversion rate by 190% with Shopping Assistant. The support team doesn't just solve problems — they actively drive sales through personalized recommendations and strategic discount offers.
Help Scout delivers value for specific use cases. The interface is clean, pricing is predictable for stable teams, and the knowledge base functionality is strong. For small businesses with straightforward support needs, Help Scout removes complexity and delivers reliable shared inbox management.
The limitations become clear when you're running an ecommerce business. Help Scout lacks native Shopify features, charges more for AI automation, offers limited revenue-driving capabilities, and add-on costs (especially Docs on Standard tier) increase total spend beyond the advertised per-seat rates.
Help Scout is a good fit for:
Consider alternatives if you:
If you're in the second camp, Gorgias is built for exactly this. See how it compares to Help Scout firsthand — book a demo to explore what an ecommerce-centric platform looks like in practice.
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TL;DR:
Freshdesk's pricing looks straightforward at first glance. Per-agent plans start at $15/month for basic ticketing.
But the real cost becomes clear once you add omnichannel support, AI automation, and the integrations your team actually needs.
Session limits expire monthly, collaboration costs scale per seat, and many essential features live behind higher-tier paywalls.
This guide breaks down what you'll actually pay for Freshdesk in 2026, from core ticketing plans to AI add-ons and hidden costs. We'll also show you how Gorgias delivers predictable pricing with ecommerce-native automation built in.
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Freshdesk uses a modular pricing model that splits support tools into separate products. Per-agent licensing means you pay for each support team member who uses the platform, and costs increase as your team grows.
The company offers four main modules:
Each module is priced separately, though some bundles exist. Annual billing saves 15-20% compared to monthly payments.
|
Module |
Starting Price (Annual) |
Starting Price (Monthly) |
Core Use Case |
|---|---|---|---|
|
Freshdesk Ticketing |
$15 USD/agent/month |
$18/agent/month |
Email support and basic ticketing |
|
Freshdesk Omni |
$29/agent/month |
$35/agent/month |
Unified multichannel inbox |
|
Freshchat |
$19/agent/month |
$23/agent/month |
Live chat and messaging |
|
Freshcaller |
$15/agent/month |
$18/agent/month |
Phone support system |
The costs stack when you combine modules. A team using Freshdesk Pro ticketing ($49/agent) plus Omni ($29/agent) pays $78 per agent per month before AI add-ons.
Freshdesk's core ticketing platform offers three paid plans: Growth, Pro, and Enterprise. A free plan exists but lacks fundamental features like advanced automation and multichannel support, making it impractical for most teams.
|
Plan |
Price/Agent/Month (Annual) |
Best For |
Key Features |
|---|---|---|---|
|
Growth |
$15 |
Small teams with basic needs |
Email ticketing, one SLA, basic automation, standard reports |
|
Pro |
$49 |
Growing teams needing routing & analytics |
Multiple SLAs, custom dashboards, multilingual, 500 AI sessions |
|
Enterprise |
$79 |
Large teams requiring security & compliance |
Audit logs, skill-based routing, sandbox, IP whitelisting |
Growth costs $15/agent/month when billed annually. Growth fits small teams needing basic ticketing with simple workflows.
What's included:
Key limitations: Growth doesn't include advanced routing options, multiple SLAs, or multilingual conversation support. You also miss out on custom dashboards and AI Agent sessions. Upgrade to Pro when your team needs more sophisticated automation or serves multiple product lines or regions.
Pro costs $49/agent/month when billed annually. Pro fits growing teams needing advanced routing, multilingual support, and stronger analytics.
Everything in Growth plus:
What's still missing: Enterprise security features like audit logs and IP whitelisting, sandbox environments for testing, and skill-based routing. Freddy Copilot costs extra even on Pro.
Enterprise costs $79/agent/month when billed annually. Enterprise fits large teams requiring advanced automation, security, and global support operations.
Everything in Pro plus:
Note that Freddy Copilot still costs $29/agent/month extra, even at the Enterprise tier.
Freshdesk's core ticketing plans focus on email support. If you need live chat, social media, SMS, or phone support, you'll purchase separate omnichannel modules. Each module is priced per agent, and costs stack when you combine them.
Freshdesk Omni ($29/agent/month) provides a unified inbox that consolidates conversations from email, WhatsApp, SMS, Facebook, Instagram, and other channels. It includes IntelliAssign for intelligent routing and custom portals for different customer segments.
Freshchat ($19/agent/month) focuses specifically on live chat and messaging. It includes chatbot capabilities, proactive messaging, and campaign tools. Teams using this alongside core ticketing pay for both seats.
Freshcaller ($15/agent/month) adds cloud phone system capabilities with call routing, IVR, call recording, and voicemail. Like other modules, it's billed per agent who needs phone access.
|
Module |
Starting Price |
Key Features |
Best For |
|---|---|---|---|
|
Freshdesk Omni |
$29/agent/month |
Unified inbox, WhatsApp, SMS, social media routing |
Teams needing full omnichannel support |
|
Freshchat |
$19/agent/month |
Live chat, chatbots, proactive messaging, campaigns |
Teams prioritizing real-time chat |
|
Freshcaller |
$15/agent/month |
Cloud phone, call routing, IVR, recording |
Teams offering phone support |
The modular approach means flexibility, but total costs add up quickly. A team using Pro ticketing ($49) plus Omni ($29) pays $78 per agent per month. Add Freshcaller ($15) and you're at $93 per agent before AI costs.
Freshdesk offers two AI products: Freddy Copilot and AI Agent. Both are add-ons that cost extra beyond base ticketing plans.
Freddy Copilot is an agent-assist tool priced per user. It helps human agents write better responses with AI suggestions, ticket summaries, and tone adjustments.
AI Agent handles customer conversations autonomously using a session-based pricing model. Sessions are purchased in packs and expire monthly with no rollover.
|
Feature |
Freddy Copilot |
AI Agent |
|---|---|---|
|
Pricing |
$29/agent/month |
$100 per 1,000 sessions |
|
Billing Model |
Per agent subscription |
Session packs with expiration |
|
Core Purpose |
Agent assistance |
Autonomous resolution |
|
Key Capabilities |
Reply suggestions, summaries, tone adjustment |
Auto-resolve conversations, perform actions |
|
Limits |
40 translations per license/month |
Sessions expire end of billing cycle |
|
Availability |
Add-on (included in Pro ticketing) |
Add-on (500 sessions included in Pro) |
Freddy Copilot costs $29/agent/month. You don't need to purchase it for every agent. Only purchase it for those who want AI assistance.
Capabilities included:
The main limitation: Copilot includes only 40 translations per license per month. Teams supporting multiple languages may find this restrictive.
Freddy Copilot is available as a paid add-on for Growth and Enterprise plans. It's included with Pro ticketing plans at no extra cost.
AI Agent sessions cost $100 per 1,000 sessions. A session is one complete customer conversation from start to resolution, regardless of how many messages are exchanged.
How sessions work:
Pro plans include the first 500 AI Agent sessions per month. Beyond that, you purchase additional packs at $100 per 1,000 sessions.
The expiration policy means unused sessions provide no value. A team that purchases 1,000 sessions but only uses 600 loses the remaining 400 at month-end.
Freshdesk's listed prices don't tell the full story. Several non-obvious cost drivers can significantly increase your actual spend.
AI session packs expire monthly with no rollover. If you don't use all 1,000 sessions in a pack, those sessions disappear at billing cycle end. Auto-recharge can surprise teams when it triggers at 400 remaining sessions, adding $100 to your bill.
Freddy Copilot is per-agent, so costs grow with your team. Ten agents with Copilot means $290 extra per month beyond base ticketing costs.
Example: A 10-agent team on Pro ($49/agent = $490) adding Copilot for everyone ($29/agent = $290) plus 2,000 AI Agent sessions ($200) pays $980/month instead of the advertised $490.
Per-agent pricing means every support team member costs money. Adding seasonal or part-time agents increases your bill immediately.
Simple math: Growing from 5 agents to 10 agents doubles your base cost. On the Pro plan, that's jumping from $245/month to $490/month.
Collaborators (view-only users) are free but limited to 5,000. Most teams won't hit this limit, but it exists.
Many essential features live on Pro or Enterprise tiers only. Growth users can't access:
Some integrations require higher tiers or incur separate fees. Application programming interface (API) rate limits exist but aren't publicly documented for paid plans, creating uncertainty about integration costs.
Freshdesk works well for specific use cases, particularly traditional business-to-business (B2B) or business-to-consumer (B2C) support teams with standard ticketing needs.
Freshdesk fits when you need:
Consider alternatives if you're:
For ecommerce businesses, platforms like Gorgias offer better alignment with Shopify workflows, revenue attribution, and predictable pricing.
Unlike Freshdesk's modular approach, Gorgias is purpose-built for ecommerce. The platform integrates directly with Shopify, enabling support teams to manage orders, process returns, and drive revenue without switching tools.
|
Feature |
Freshdesk |
Gorgias |
|---|---|---|
|
Base Pricing |
$15/agent (Growth), modules extra |
Ticket-based, omnichannel included |
|
Omnichannel |
Separate Omni module ($29/agent) |
Included in all plans |
|
AI Automation |
Session-based, expires monthly |
Built-in, up to 60% automation |
|
Ecommerce Integration |
Basic via marketplace apps |
Native Shopify integration |
|
Revenue Features |
None |
Upsells, recommendations, attribution |
Gorgias is built for ecommerce, not generic support. Deep Shopify integration means agents can cancel orders, process refunds, modify subscriptions, and update shipping addresses directly inside tickets—no tab-switching required.
AI Agent automates common ecommerce intents like where is my order (WISMO), return requests, and order modifications.
AI Agent automates common ecommerce intents like where is my order (WISMO), return requests, and order modifications. Instead of deflecting customers to Self-service, it resolves their issues automatically.
Revenue features turn support into a profit center:
Example: A customer asks about sizing. Instead of just answering, your agent recommends a complementary product and applies a bundle discount—all within the same ticket. Support becomes a revenue channel, not just a cost center.
Up to 60% of repetitive tickets can be automated with Gorgias AI Agent. The system learns your brand voice, policies, and common scenarios, then handles conversations that match those patterns.
Unlike Freshdesk's session-based AI, Gorgias AI Agent performs real actions:
The Guidance system gives you control over AI behavior. Set rules for when AI should escalate to humans, which actions require approval, and how to handle edge cases. Your AI stays on-brand and follows your policies automatically.
Gorgias includes omnichannel support—email, live chat, SMS, Instagram, Facebook, voice—in base plans. No separate modules, no per-channel fees, no surprise add-ons.
Predictable pricing means you know what you'll pay:
Implementation takes days, not months. Ecommerce-focused onboarding teams understand Shopify workflows, peak season preparation, and common automation patterns. You get dedicated support from people who've worked with hundreds of online stores.
Selecting the right Freshdesk plan depends on your team size, channel requirements, automation needs, and security posture. Here's how to decide.
Growth fits small teams with simple needs and email-first support models.
What you get:
What you don't get:
Upgrade to Pro when you need sophisticated automation, serve multiple product lines, or require custom analytics.
Pro fits mid-sized teams managing multiple products, regions, or customer segments with different service requirements.
Everything in Growth plus:
What you still miss: Enterprise security controls like audit logs, IP whitelisting, sandbox environments, and skill-based routing.
Upgrade to Enterprise when compliance requirements demand audit trails or when your routing needs become highly specialized.
Enterprise fits large teams with complex routing requirements, strict compliance needs, or global operations requiring advanced governance.
Everything in Pro plus:
Note that Freddy Copilot still costs $29/agent/month extra if you're on the Enterprise Omni or other non-ticketing plans.
Consider alternatives like Gorgias if you're an ecommerce brand that doesn't need enterprise-level security but wants predictable pricing with built-in automation.
Omnichannel modules are separate purchases that significantly increase total cost. Add them only if:
Example cost impact: Pro ticketing ($49/agent) + Omni ($29/agent) = $78/agent/month. For a 10-agent team, that's $780/month instead of $490/month.
Gorgias includes omnichannel in base pricing without separate module fees.
Freshdesk offers standard billing options with modest discounts for annual commitments.
Key billing facts:
Billing cycles start on your purchase date. AI Agent sessions expire at cycle end with no rollover, so plan usage carefully to avoid waste.
Gorgias delivers predictable omnichannel pricing with AI automation built for Shopify brands. See how our platform reduces ticket volume, drives revenue, and scales with your team without hidden costs or session limits. Book a demo to compare Gorgias and Freshdesk side by side.{{
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TL;DR:
Kustomer has a lot going for it. Unified customer data, omnichannel support, and a CRM-powered ticket view that gives agents real context before they even type a word.
But it comes at a cost. Implementation is complex, pricing isn't transparent, and reporting limitations become apparent as your team grows.
If you're looking for an alternative, you probably want everything Kustomer promises without the headaches. This guide compares the top 10 Kustomer alternatives so you can find the right fit for your support volume, channel strategy, and growth plans.
Pricing gets unpredictable. Kustomer starts at $89/user/month, and that's before AI charges kick in at $0.60 per engaged conversation. During peak seasons, those costs add up fast and become hard to forecast.
Reporting lacks depth. Custom reports lack the granularity to cross-reference customer, conversation, and message data. Most teams end up exporting data just to build a basic dashboard.
Implementation takes longer than promised. What's pitched as a quick setup often stretches into months of configuration and training.
As one customer put it after switching: "We were spending too much time trying to work around Kustomer's limitations instead of solving customer problems."
Ecommerce workflows fall short. Native Shopify integration is limited, order management requires workarounds, and agents end up switching tabs to process refunds or check order history. That friction adds up every single day.
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Teams typically switch from Kustomer due to:
Platform |
Best For |
Starting Price |
AI Included |
Shopify Integration |
Omnichannel Support |
Gorgias |
Ecommerce brands |
$10/month* |
✓ |
Native |
✓ |
Zendesk |
Enterprises |
$19/agent/month |
✓ |
Via app |
✓ |
Freshdesk |
Small teams |
$15/agent/month |
✓ |
Via app |
✓ |
Intercom |
SaaS companies |
$29/seat/month |
Add-on fees |
Via app |
✓ |
Gladly |
Retail brands |
Custom |
✓ |
Via app |
✓ |
Salesforce Service Cloud |
Large enterprises |
$25/user/month |
✓ |
Via app |
✓ |
Zoho Desk |
Zoho users |
€7/user/month |
✓ |
Via app |
✓ |
Help Scout |
Email-first teams |
$20/user/month |
Limited |
Via app |
Limited |
Kayako |
Unified view |
$79/month |
✓ |
Via app |
✓ |
HubSpot Service Hub |
HubSpot users |
Free–$360/month |
✓ |
Via app |
✓ |
*Prices reflect annual billing; monthly billing may be higher. AI consumption fees may apply.
Gorgias is a conversational commerce platform built specifically for ecommerce brands. It combines a helpdesk, AI Agent, and revenue-driving tools in one system designed to turn support conversations into sales opportunities.

Best for: Shopify brands that want to turn support conversations into sales opportunities
Limitations: Less suited for B2B or non-ecommerce use cases
Key features:
Pricing: Starting at $10/month for basic plans; custom pricing for enterprise
Zendesk is a comprehensive customer service platform with advanced AI, reporting, and workforce management capabilities. It scales from small teams to global enterprises with features designed for high-volume, complex operations.

Best for: Large ecommerce operations that need enterprise features, global support, and deep customization
Limitations: Higher cost and complexity than alternatives; can feel over-engineered for smaller teams
Key features:
Pricing: Starting at $19/agent/month (Support Team); Suite plans start at $55/agent/month
Freshdesk is a cloud-based helpdesk that balances affordability with automation. It offers AI-powered bots, omnichannel ticketing, and a free plan for small teams looking to scale without breaking the budget.

Best for: Small to mid-sized ecommerce teams that want simple, effective support tools without high costs
Limitations: Fewer native ecommerce integrations compared to Gorgias; requires third-party apps for order management
Key features:
Pricing: Starting at $15/agent/month (Growth plan); free plan available
Intercom is a conversational support platform that combines live chat, AI bots, and in-app messaging. It excels at proactive engagement and onboarding, making it popular with SaaS companies and digital-first brands.

Best for: SaaS and digital-first ecommerce brands that prioritize proactive communication and in-app support
Limitations: Higher cost than alternatives; less ecommerce-specific functionality compared to Gorgias
Key features:
Pricing: Starting at $29/seat/month; additional AI feature fees apply
Gladly is a customer service platform that organizes conversations by people, not tickets. It provides a continuous timeline of every customer interaction across channels, prioritizing personalization over traditional ticket management.

Best for: Retail and lifestyle brands that prioritize personalized, high-touch support
Limitations: Gladly does not have public pricing. It also has less ecommerce-specific automation compared to Gorgias.
Key features:
Pricing: Custom pricing; contact sales for quote
Salesforce Service Cloud is an enterprise customer service platform that integrates directly with Salesforce CRM. It offers AI-driven case management, omnichannel routing, and field service tools for organizations already invested in the Salesforce ecosystem.
Best for: Large enterprises that already use Salesforce CRM and need unified customer data across sales and service
Limitations: Expensive and complex; requires Salesforce expertise to implement and maintain
Key features:
Pricing: Starting at $25/user/month (Starter); Enterprise plans start at $165/user/month
Zoho Desk is a cloud-based helpdesk that integrates with Zoho CRM and other Zoho products. It offers AI assistance, multi-channel ticketing, and affordable pricing for teams already using the Zoho ecosystem.

Best for: Teams already using Zoho CRM or other Zoho apps that want seamless integration
Limitations: Fewer ecommerce-specific integrations; UI feels less modern than alternatives
Key features:
Pricing: Starting at €7 EUR/user/month, with a free plan available for up to three agents
Help Scout is a customer service platform designed for teams that prioritize email support and collaboration. It offers a shared inbox, knowledge base, and simple automation for teams that want straightforward tools.

Best for: Small teams that handle most support via email and want straightforward collaboration tools
Limitations: Limited omnichannel capabilities; lacks advanced AI and ecommerce integrations
Key features:
Pricing: Starting at $20/user/month (Standard plan)
Kayako is a customer service platform that provides a unified view of the customer journey. It combines email, chat, and social support with contextual customer information in one timeline.
Best for: Teams that want a complete interaction history without complex CRM setups
Limitations: No public pricing; fewer integrations than alternatives
Key features:
Pricing: $79/month (single plan); contact sales for details
HubSpot Service Hub is a customer service platform that integrates with HubSpot's marketing and sales tools. It offers ticketing, automation, and customer feedback in one ecosystem designed for teams already using HubSpot CRM.

Best for: Teams already using HubSpot CRM that want unified customer engagement across marketing, sales, and service
Limitations: Can become expensive as team grows; less ecommerce-specific than Gorgias
Key features:
Pricing: Free plan available; Starter at $45/month, Professional at $360/month
As a CX leader, your helpdesk affects how fast your team resolves issues, how much your agents can handle, and whether support drives revenue or just costs money. Here's what to evaluate.
Start by mapping where your customers contact you most. If Instagram DMs and SMS drive significant volume, prioritize platforms with native social and messaging support. Ask: does the platform consolidate all channels into one inbox and maintain context when a conversation moves from Instagram to email?
Your helpdesk should connect directly to your ecommerce platform, not through fragile third-party apps. Test whether agents can view order history, process refunds, and update shipments without switching tabs. For high-volume stores handling hundreds of order-related inquiries daily, this directly impacts handle time and productivity.
General-purpose AI needs heavy configuration to handle order-specific inquiries. Look for AI that comes pre-trained on WISMO, returns, and product recommendations — and check whether it can perform actions like canceling orders or just answer questions. Also ask: is AI included in base pricing or charged per conversation?
You need reporting that connects support to revenue. That means looking at what's driving ticket volume, which channels are underperforming, and what impact support is having on sales. Look for platforms that offer revenue attribution and granular filtering out of the box.
Look beyond per-agent pricing to include AI consumption fees, implementation costs, and integration expenses. Platforms with transparent pricing make budgeting easier than those requiring custom quotes. Calculate the all-in monthly cost at your current agent count and model how it scales as you grow.
Switching helpdesks means migrating ticket history, training agents, and updating workflows. Ask whether the vendor offers migration support and a realistic implementation timeline. The faster your team reaches full productivity, the sooner you see ROI.
The right platform depends on what you need most. Here's the smartest way to think about it:
Before you decide, take stock of your order volume, channel mix, and whether you need conversational commerce or straightforward ticketing. Those three factors will narrow it down fast.
Want to see Gorgias in action? Book a demo to see how it turns support into a revenue driver.
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