

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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TL;DR:
In 2025, chat’s growth outpaced email by 2.5x quarter over quarter. Chat has become our most powerful customer experience tool for how shoppers discover products, ask questions, and decide to buy.
We knew it needed an upgrade, so we reimagined the entire experience from the ground up.
The result is 36% more engagement with product recommendations, nearly 2.25x more shoppers add-to-cart, and 7.3% more customer engagement.
In this post, we'll walk you through our thinking, what’s new in Chat, and how brands are already seeing big gains.
Chat has outpaced email support. Today’s shoppers prefer the speed of quick chat conversations over email. And when shoppers make a new move, we watch, listen, and move with them.
This behavioral shift isn’t happening in isolation. It aligns with the rise of conversational commerce and proves a universal move toward real-time conversations in ecommerce.
In fact, the signals were already there. Two years of building AI Agent showed us just how much design shapes behavior. The interface is the experience, and we knew that pushing chat experiences to closely resemble human interactions would transform how shoppers engage.
Our new and updated chat brings that vision to life. We believe that shopping is moving from static pages to conversations. This new update is built for how people actually want to shop.
The new design turns live chat into an interactive shopping surface made for modern shoppers. We've brought together multiple ways for shoppers to jump into chat, added clickable replies instead of typing, browsable product cards right in the conversation, and quick cart access.
Let's walk through what's new.
Chat now comes in a softer color palette that adapts to your store’s branding. We removed message bubbles in favor of an airy design that brings in the familiarity of speaking to your favorite conversational AI assistant. Every interaction now has the breathing room for deeper conversation and personalization.

It’s now easier for shoppers to get an answer with quick reply buttons and suggested questions in Chat. This replaces the tree-based flows of the previous Chat, removing the need to follow a fixed path. Shoppers can find answers faster without typing text-heavy explanations.

Browsing and buying within Chat is now possible. Previously, it only supported product links that would open in a new page. With the upgrade, you can view item details without leaving the conversation. Shoppers can browse, compare products, and add to cart in one place.

We’re keeping the context by removing the external redirects. The new interface lets shoppers browse product recommendations right in chat. View key product details, images, descriptions, variants, and pricing without opening a new tab.

Chat adds clickable questions on product pages — like “Is this true to size?” or “What’s the difference between shades?” — designed to match what a shopper is likely wondering in the moment. These context-aware prompts help remove buying hesitation before shoppers even think to ask.

Chat adds instant access to shopper actions, like a cart button and an orders button for returning customers. Shoppers can jump straight to their cart or check on an existing order without waiting for an agent to give them a status update.

Every update in Chat drives performance. We didn’t simply give it a makeover, we also fine-tuned its underlying mechanics.
When product suggestions are easy to browse, shoppers interact with them more. The new product cards make shopping feel natural, allowing customers to explore items at their own pace. That convenience led to a 36% increase in engagement with recommended products.
Chat keeps the entire shopping journey inside the conversation, from browsing and asking questions, to adding to cart and checking out. This new layout removes the usual tab-switching between chat and the website. Less friction has led to more than double add-to-cart actions than before the redesign.
Chat's cleaner design and contextual entry points make it easier for shoppers to start a conversation. With suggested questions on product pages and quick reply buttons, more visitors are choosing to engage earlier in their journey. This has resulted in a 7.3% lift in chat engagement.
Conversational commerce has moved from concept to reality. Chat makes it part of the everyday shopping experience, letting shoppers browse, ask questions, compare products, and check out in one interaction. It brings the ease of the in-person shopping experience into the digital world.
We built Chat to redefine the shopping experience. We hope you see it reflected in your customers’ journeys.
Book a demo to see what's possible with the new experience.
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TL;DR:
Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.
Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse.
In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.
Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.
Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:
"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."
The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.
What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.
Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:
"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."
A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.
The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:
"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."
Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.
One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.
"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate."
Here's Cornbread’s three-phase approach:
Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.
Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment
Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.
Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand.
"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.
Katherine adds another crucial element: tone consistency.
"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."
As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.
Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.
Read more: How to Write Guidance with the “When, If, Then” Framework
The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.
Over the peak season, Cornbread saw:
Katherine breaks down what made the difference:
"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."
During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.
Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.
One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.
With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.
Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."
That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.
Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."
Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.
Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.
Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.
The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.
Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.
As Katherine puts it:
"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."
Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers.
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TL;DR:
Your AI sounds like a robot, and your customers can tell.
Sure, the answer is right, but something feels off. The tone of voice is stiff. The phrases are predictable and generic. At most, it sounds copy-pasted. This may not be a big deal from your side of support. In reality, it’s costing you more than you think.
Recent data shows that 45% of U.S. adults find customer service chatbots unfavorable, up from 43% in 2022. As awareness of chatbots has increased, so have negative opinions of them. Only 19% of people say chatbots are helpful or beneficial in addressing their queries. The gap isn't just about capability. It's about trust. When AI sounds impersonal, customers disengage or leave frustrated.
Luckily, you don't need to choose between automation and the human touch.
In this guide, we'll show you six practical ways to train your AI to sound natural, build trust, and deliver the kind of support your customers actually like.
The fastest way to make your AI sound more human is to teach it to sound like you. AI is only as good as the input you give it, so the more detailed your brand voice training, the more natural and on-brand your responses will be.
Start by building a brand voice guide. It doesn't need to be complicated, but it should clearly define how your brand communicates with customers. At minimum, include:
Think of your AI as a character. Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, described their approach as building an AI persona:
"I kind of treat it like breaking down an actor. I used to sing and perform for a living — how would I break down the character of Rhoback? How does Rhoback speak? What age are they? What makes the most sense?"
✅ Create a brand voice guide with tone, style, formality, and example phrases.
Humans associate short pauses with thinking, so when your AI responds too quickly, it instantly feels unnatural.
Adding small delays helps your AI feel more like a real teammate.
Where to add response delays:
Even a one- to two-second pause can make a big difference in a robotic or human-sounding AI.
✅ Add instructions in your AI’s knowledge base to include short response delays during key moments.
Generic phrases make your AI sound like... well, AI. Customers can spot a copy-pasted response immediately — especially when it's overly formal.
That doesn't mean you need to be extremely casual. It means being true to your brand. Whether your voice is professional or conversational, the goal is the same: sound like a real person on your team.
Here's how to replace robotic phrasing with more brand-aligned responses:
|
Generic Phrase |
More Natural Alternative |
|---|---|
|
“We apologize for the inconvenience.” |
“Sorry about that, we’re working on it now.” (friendly) |
|
“Your satisfaction is our top priority.” |
“We want to make sure this works for you.” (friendly) |
|
“Please be advised…” |
“Just a quick heads up…” (friendly) |
|
“Your request has been received.” |
“Got it. Thanks for reaching out.” (friendly) |
|
“I will now review your request.” |
“Let me take a quick look.” (friendly) |
✅ Identify your five most common inquiries and give your AI a rewritten example response for each.
One of the biggest tells that a response is AI-generated? It ignores what's already happened.
When your AI doesn't reference order history or past conversations, customers are forced to repeat themselves. Repetition can lead to frustration and can quickly turn a good customer experience into a bad one.
Great AI uses context to craft replies that feel personalized and genuinely helpful.
Here's what good context looks like in AI responses:
Tools like Gorgias AI Agent automatically pull in customer and order data, so replies feel human and contextual without sacrificing speed.
✅ Add instructions that prompt your AI to reference order details and/or past conversations in its replies, so customers feel acknowledged.
Customers just want help. They don't care whether it comes from a human or AI, as long as it's the right help. But if you try to trick them, it backfires fast. AI that pretend to be human often give customers the runaround, especially when the issue is complex or emotional.
A better approach is to be transparent. Solve what you can, and hand off anything else to an agent as needed.
When to disclose that the customer is talking to AI:
For more on this topic, check out our article: Should You Tell Customers They're Talking to AI?
✅ Set clear rules for when your AI should escalate to a human and include handoff messaging that sets expectations and preserves context.
We're giving you permission to break the rules a little bit. The most human-sounding AI doesn't follow perfect grammar or structure. It reflects the messiness of real dialogue.
People don't speak in flawless sentences every time. We pause, rephrase, cut ourselves off, and throw in the occasional emoji or "uh." When AI has an unpredictable cadence, it feels more relatable and, in turn, more human.
What an imperfect AI could look like:
These imperfections give your AI a more believable voice.
✅ Add instructions for your AI that permit variation in grammar, tone, and sentence structure to mimic real human speech.
Human-sounding AI doesn’t require complex prompts or endless fine-tuning. With the right voice guidelines, small tone adjustments, and a few smart instructions, your AI can sound like a real part of your team.
Book a demo of Gorgias AI Agent and see for yourself.
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TL;DR:
You’ve chosen your AI tool and turned it on, hoping you won’t have to answer another WISMO question. But now you’re here. Why is AI going in circles? Why isn’t it answering simple questions? Why does it hand off every conversation to a human agent?
Conversational AI and chatbots thrive on proper training and data. Like any other team member on your customer support team, AI needs guidance. This includes knowledge documents, policies, brand voice guidelines, and escalation rules. So, if your AI has gone rogue, you may have skipped a step.
In this article, we’ll show you the top seven AI issues, why they happen, how to fix them, and the best practices for AI setup.
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AI can only be as accurate as the information you feed it. If your AI is confidently giving customers incorrect answers, it likely has a gap in its knowledge or a lack of guardrails.
Insufficient knowledge can cause AI to pull context from similar topics to create an answer, while the lack of guardrails gives it the green light to compose an answer, correct or not.
How to fix it:
This is one of the most frustrating customer service issues out there. Left unfixed, you risk losing 29% of customers.
If your AI is putting customers through a never-ending loop, it’s time to review your knowledge docs and escalation rules.
How to fix it:
It can be frustrating when AI can’t do the bare minimum, like automate WISMO tickets. This issue is likely due to missing knowledge or overly broad escalation rules.
How to fix it:
One in two customers still prefer talking to a human to an AI, according to Katana. Limiting them to AI-only support could risk a sale or their relationship.
The top live chat apps clearly display options to speak with AI or a human agent. If your tool doesn’t have this, refine your AI-to-human escalation rules.
How to fix it:
If your agents are asking customers to repeat themselves, you’ve already lost momentum. One of the fastest ways to break trust is by making someone explain their issue twice. This happens when AI escalates without passing the conversation history, customer profile, or even a summary of what’s already been attempted.
How to fix it:
Sure, conversational AI has near-perfect grammar, but if its tone is entirely different from your agents’, customers can be put off.
This mismatch usually comes from not settling on an official customer support tone of voice. AI might be pulling from marketing copy. Agents might be winging it. Either way, inconsistency breaks the flow.
How to fix it:
When AI is underperforming, the problem isn’t always the tool. Many teams launch AI without ever mapping out what it's actually supposed to do. So it tries to do everything (and fails), or it does nothing at all.
It’s important to remember that support automation isn’t “set it and forget it.” It needs to know its playing field and boundaries.
How to fix it:
AI should handle |
AI should escalate to a human |
|---|---|
Order tracking (“Where’s my package?”) |
Upset, frustrated, or emotional customers |
Return and refund policy questions |
Billing problems or refund exceptions |
Store hours, shipping rates, and FAQs |
Technical product or troubleshooting issues |
Simple product questions |
Complex or edge‑case product questions |
Password resets |
Multi‑part or multi‑issue requests |
Pre‑sale questions with clear, binary answers |
Anything where a wrong answer risks churn |
Once you’ve addressed the obvious issues, it’s important to build a setup that works reliably. These best practices will help your AI deliver consistently helpful support.
Start by deciding what AI should and shouldn’t handle. Let it take care of repetitive tasks like order tracking, return policies, and product questions. Anything complex or emotionally sensitive should go straight to your team.
Use examples from actual tickets and messages your team handles every day. Help center articles are a good start, but real interactions are what help AI learn how customers actually ask questions.
Create rules that tell your AI when to escalate. These might include customer frustration, low confidence in the answer, or specific phrases like “talk to a person.” The goal is to avoid infinite loops and to hand things off before the experience breaks down.
When a handoff happens, your agents should see everything the AI did. That includes the full conversation, relevant customer data, and any actions it has already attempted. This helps your team respond quickly and avoid repeating what the customer just went through.
An easy way to keep order history, customer data, and conversation history in one place is by using a conversational commerce tool like Gorgias.
A jarring shift in tone between AI and agent makes the experience feel disconnected. Align aspects such as formality, punctuation, and language style so the transition from AI to human feels natural.
Look at recent escalations each week. Identify where the AI struggled or handed off too early or too late. Use those insights to improve training, adjust boundaries, and strengthen your automation flows.
If your AI chatbot isn’t working the way you expected, it’s probably not because the technology is broken. It’s because it hasn’t been given the right rules.
When you set AI up with clear responsibilities, it becomes a powerful extension of your team.
Want to see what it looks like when AI is set up the right way?
Try Gorgias AI Agent. It’s conversational AI built with smart automation, clean escalations, and ecommerce data in its core — so your customers get faster answers and your agents stay focused.

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:
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:
If you're evaluating Help Scout, you're likely wondering how it stacks up against AI-powered alternatives built for ecommerce.
We reviewed G2 and Capterra reviews, along with competitive analyses, to answer that question.
Help Scout remains a strong choice for email-first support teams, but its limited multichannel automation and analytics depth may not serve high-volume ecommerce brands.
This review covers Help Scout's core strengths, known limitations, and five alternatives that prioritize conversational AI and revenue-driving support. By the end, you'll know whether Help Scout fits your team or if an alternative is the way to go.
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Help Scout is a shared inbox platform built for email-first support teams. It uses a Gmail-like interface instead of numbered tickets, built around three core components:
G2 reviewers consistently praise its clean UI, collision detection, and saved replies. AI features including Drafts, Summarize, and Assist are included in paid plans at no extra cost.
The consensus: Help Scout delivers on simplicity but sacrifices automation depth and multichannel sophistication. It positions itself as a relationship-building platform rather than a traditional helpdesk without overwhelming configuration.
Help Scout has usage-based pricing, charging per user with unlimited contacts (customers that receive your replies).
Plan breakdown:
AI features (Drafts, Summarize, Assist) are included in all paid plans at no extra cost, a notable advantage over Intercom's Fin AI (separate add-on pricing) or Zendesk's Advanced AI (requires higher tiers).
Compared to competitors: Help Scout's Standard plan at $25/user is cheaper than Zendesk Suite Team ($55/agent/month) but more expensive than Freshdesk Growth ($18/agent/month).
The value depends on your contact volume — teams supporting 1,000+ contacts/month may find per-contact pricing less favorable than per-agent models.
Note: All plans include a 15-day free trial with no credit card required.
Jump to a feature:
Help Scout's shared inbox replaces traditional ticket numbers with conversation threads that look like email. The interface supports:
For ecommerce teams: Inbox management works well for email-dominant workflows but lacks omnichannel depth of the top helpdesk solutions out there.
Help Scout offers workflows for conditional automation (if/then logic) and AI features to accelerate responses:
Help Scout's Docs knowledge base and Beacon widget enable customer self-service:
Competitor comparison: Note that Beacon works for static FAQ content but doesn't integrate with Shopify for dynamic order tracking or personalized product recommendations like Gorgias’s Shopping Assistant.
Help Scout provides productivity metrics and customer satisfaction (CSAT) tracking, with known limitations in analytics depth:
Competitor comparison: Custom reporting is less flexible than Zendesk Explore or Gorgias's revenue statistics (which track sales from support, conversion rate, and total sales attributed to support).
Reviewers on G2 and Capterra consistently rate Help Scout 4.5+/5 for ease of use, citing the clean conversation view and familiar email-like interface as key strengths. The dashboard prominently surfaces unassigned conversations, with filtering options that update without needing to refresh the page.
UX highlights from user reviews:
Competitor comparison: Help Scout works out-of-the-box with minimal setup, unlike Zendesk, which requires configuration of Views, triggers, and automations before use. New agents typically onboard in under an hour.
Teams familiar with Gmail may experience a brief learning curve around Help Scout's unique terminology, such as conversations vs. tickets, saved replies vs. canned responses.
Help Scout emphasizes no dev support required for setup and migration, contrasting with Zendesk's partner marketplace dependency. The onboarding process involves:
Help Scout is partnered with Import2, allowing users to import their data from another platform for free. Import2 transfers conversations, customers, and attachments while preserving timestamps and agent assignments. The migration typically completes within 48-72 hours.
Setup steps for email forwarding:
Note: Some reviewers find the email forwarding setup time-consuming compared to IMAP-based systems. Initial configuration requires touching each team member's email account.
Help Scout offers 80+ native integrations and a REST API for custom connections:
Key integrations for ecommerce teams:
REST API is available on all paid plans, with webhooks for real-time event notifications. Developers can build custom apps using the Beacon SDK (JavaScript API for widget customization) or Chrome extension API (for browser-based integrations).
Competitor comparison: Unlike Gorgias's native Shopify integration (which enables order editing, subscription management, and revenue attribution directly from the helpdesk), Help Scout's Shopify integration requires third-party apps and only surfaces basic order data. Ecommerce teams needing deeper platform integration should evaluate alternatives.
Help Scout offers mobile apps for iOS and Android, enabling on-the-go replies and basic inbox management:
Reviewers note the mobile app is functional for basic support but lacks the full feature set of the desktop interface.
Help Scout maintains a 99.99% uptime SLA, with transparent incident reporting via their public status page. The platform has experienced minimal downtime in recent years, with most incidents resolved within 30 minutes.
Performance highlights:
Help Scout provides productivity metrics and CSAT tracking, but reviewers consistently note gaps in custom reporting depth and analytics accuracy.
Reporting categories:
Competitor comparison: Custom reporting lacks the flexibility of Zendesk Explore or Gorgias's revenue statistics, which track sales from support, conversion rate, and total sales attributed to support interactions.
For ecommerce teams prioritizing revenue attribution and custom analytics, Help Scout's reporting may feel limiting compared to alternatives.
Help Scout consistently earns praise for support quality, with a G2 rating of 9.1/10 for customer service — higher than Zendesk (8.5/10) and Freshdesk (8.7/10):
Support channels and resources:
Competitor comparison: Help Scout includes email and chat support for all paid customers, compared to Zendesk which restricts phone support and faster SLAs to enterprise plans. Plus, the Help Scout support team uses Help Scout themselves, demonstrating product expertise and empathy for customer workflows.
Help Scout serves SMBs, SaaS support teams, and email-first organizations that prioritize simplicity over enterprise-scale automation:
|
Ideal for |
Not ideal for |
|---|---|
|
SMBs and startups with 5-50 agents managing primarily email support |
High-volume ecommerce brands handling 1,000+ tickets/day across multiple channels |
|
SaaS support teams needing shared inbox and knowledge base without Zendesk's complexity |
Data-driven teams requiring revenue attribution, custom reporting, and advanced analytics |
|
Email-first organizations where 70%+ of inquiries arrive via email with limited social or SMS volume |
Enterprise organizations needing complex routing, SLA management, and multi-brand support |
If you're running a high-volume ecommerce operation with multichannel support needs, the next section compares Help Scout to AI-powered alternatives purpose-built for online retail.
The table below compares Help Scout to five alternatives prioritizing AI automation, multichannel support, and ecommerce integrations. Gorgias (highlighted) is purpose-built for ecommerce, with native Shopify sync and conversational commerce features Help Scout lacks.
Platform |
Pricing Model |
AI Automation |
Multichannel Support |
Ecommerce Integrations |
Analytics Depth |
Best For |
|---|---|---|---|---|---|---|
| Help Scout | Per user, unlimited users | AI Drafts, AI Summarize, AI Assist (agent-reviewed) | Email, chat (Beacon), phone (third-party) | Shopify (basic, third-party app) | Productivity metrics, CSAT (limited custom reporting) | SMBs, SaaS, email-first teams |
| Gorgias | Per ticket (50–3,000+) | AI Agent (autonomous), Shopping Assistant, automation Rules, Macros | Email, chat, SMS, social (unified inbox) | Shopify (native two-way sync), BigCommerce, Magento | Revenue statistics, conversion tracking, custom reports | Ecommerce brands, Shopify merchants, high-volume support |
| Zendesk | Per agent (Suite tiers) | Advanced AI (higher tiers), bots, triggers | Email, chat, phone, social, messaging | Shopify (Marketplace app), 1,000+ integrations | Zendesk Explore (custom dashboards, advanced analytics) | Enterprises, complex routing, multi-brand |
| Intercom | Per seat + Fin AI add-on | Fin AI (paid add-on), Resolution Bot, product tours | Chat, email, in-app messaging | Shopify (basic), HubSpot, Salesforce | Custom reports, conversation analytics | Product-led growth, chat-first SaaS |
| Freshdesk | Per agent (tiered) | Freddy AI (basic), canned responses, automations | Email, chat, phone, social | Shopify (Marketplace), Zapier integrations | Analytics dashboard, custom reports (higher tiers) | Budget-conscious SMBs, ticketing-focused teams |
| Tidio | Per operator + Lyro AI add-on | Lyro AI (conversational chatbot), triggers, automations | Chat, email, Messenger, Instagram | Shopify (native), WooCommerce, BigCommerce | Basic analytics, Lyro conversation insights | Small ecommerce stores, chat-first support |
We ranked these alternatives based on AI automation depth, multichannel support, ecommerce platform integration, and total cost of ownership for high-volume online retailers. Gorgias tops the list as the only platform purpose-built for ecommerce conversational commerce.
Gorgias is an ecommerce-first helpdesk that treats customer support as a revenue channel, not a cost center. Unlike Help Scout's shared inbox model, Gorgias unifies all customer interactions in a single thread per customer, with native Shopify sync that enables order editing, subscription management, and revenue attribution directly from the helpdesk.
The platform's AI Agent autonomously resolves common ecommerce questions without agent intervention, handling 20-60% of repetitive inquiries for brands like Obvi and Steve Madden. Its Shopping Assistant combines live chat with product recommendations, enabling customers to browse, ask questions, and complete purchases without leaving the conversation.
Compared to Help Scout's agent-reviewed AI Drafts, Gorgias's AI Agent takes action automatically — canceling orders, updating addresses, processing returns — based on your store's policies.
Main features:
Ideal for:
Pricing:
Are you a Help Scout user looking to switch? Join Gorgias's buyout program to get full access to premium features and migrate your data with dedicated support.
Zendesk Suite is the enterprise standard for helpdesk software, offering deep customization, advanced routing, SLA management, and multi-brand support. It serves Fortune 500 companies and high-complexity support operations that Help Scout's simplicity can't accommodate.
The platform provides granular control over ticket workflows, with triggers, automations, and macros that power sophisticated routing rules. Zendesk Explore (analytics) offers custom dashboards and historical trend analysis that far exceed Help Scout's reporting depth. However, this power comes with complexity — new users often require days or weeks of training, and implementation typically involves Zendesk partners or internal developers.
Compared to Help Scout: Zendesk is overkill for small teams but necessary for enterprises managing multiple brands, languages, and SLA tiers across thousands of agents.
Main features:
Ideal for:
Pricing:
Intercom is a chat-first platform designed for product-led growth companies that prioritize in-app messaging, product tours, and proactive engagement. It's ideal for SaaS teams supporting logged-in users but less suited for ecommerce brands managing anonymous shoppers across email, SMS, and social.
The platform's Resolution Bot and Fin AI (paid add-on) handle common questions conversationally, with escalation to human agents when needed. Product tours and targeted messages drive onboarding and feature adoption — use cases Help Scout doesn't address. However, Intercom's pricing is among the highest in the category, with seat-based fees plus separate charges for Fin AI.
Compared to Help Scout: Intercom offers deeper product engagement tools but costs 2-3x more and focuses on chat over email.
Main features:
Ideal for:
Pricing:
Freshdesk is an affordable ticketing system for budget-conscious SMBs that need multichannel support without enterprise pricing. It offers email, chat, phone, and social in a single platform, with basic AI (Freddy AI) and automations included at lower price points than Zendesk or Help Scout.
The platform's strength is value — teams get essential ticketing features (assignment, SLA, canned responses, reporting) starting at $15/agent/month. However, support quality and product polish lag Help Scout's highly-rated customer service and clean interface. Reviewers note Freddy AI is less sophisticated than Gorgias's AI Agent or Intercom's Fin, handling only simple keyword-based routing.
Compared to Help Scout: Freshdesk is cheaper but sacrifices support quality, ease of use, and AI sophistication.
Main features:
Ideal for:
Pricing:
Tidio is a chat-first platform for small ecommerce stores, with Lyro AI (conversational chatbot) and native Shopify integration. It's designed for solo operators and teams under 10 agents who want automated chat support without Help Scout's email-focused complexity.
Lyro AI handles common ecommerce questions (order tracking, return policies, product questions) conversationally, with accuracy comparable to Gorgias's AI Agent for basic scenarios. The platform integrates natively with Shopify, WooCommerce, and BigCommerce, displaying order data in the chat widget. However, Tidio lacks the omnichannel depth, automation Rules, and revenue analytics of Gorgias — it's a chat widget, not a full helpdesk.
Compared to Help Scout: Tidio is cheaper and easier to set up but limited to chat and basic email (no phone, SMS, or advanced social integrations).
Main features:
Ideal for:
Pricing:
Help Scout suits small teams handling email support primarily. But weak multichannel automation, shallow Shopify integration, and no revenue attribution may create more work for support teams.
Ecommerce brands that want more should consider Gorgias. Its AI Agent autonomously resolves up to 60% of repetitive tickets, Shopping Assistant enables product discovery and checkout within conversations, and native Shopify sync offers two-way order management Help Scout can't match.
Book a demo to see how Gorgias works with your store's data, or join the buyout program to migrate from Help Scout with full access to premium features.
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You might be assuming that there’s really nothing you can do to change this outside of overworking your team, or hiring more people.
This is completely normal, but there’s no need to panic. That’s because with Gorgias you can now integrate Loop in your ecommerce store. In case you’re wondering, Loop is an on-demand portal that allows customers to get the product they want, with less support touchpoints.
Using Loop, there are many ways you can reduce one of the biggest and more time-consuming support-related requests… returns. Plus, they do this while still giving your customers a seamless experience.
So, let’s dive in.
Did you know that 40% of support tickets are order related, with 5% being about returns? It might not seem like something worth looking into, or too problematic, but it is.
Though these customers returning items do deserve a great level of customer care (everyone does), it’s not the most valuable way to actually use your support team’s skills.
Why? Glad you asked.
It’s always good to remember that your support team is juggling a lot more than you think because there’s so many different types of requests that come through. One of those requests that takes a lot of time is, you guessed it, return requests. While these are important, they don’t exactly require a human touch since they’re very straightforward and focus heavily on process.
If your support team isn’t able to address other requests in a timely manner, that could mean losing new customers or returning ones because of those support tickets.
Luckily, return-requests can be easily automated.
It may come as a surprise to hear that your customers don’t actually want a high touch support experience for returns from your team. They actually want to be the ones to choose where and when they want to engage with support teams.
Since customers want a more on-demand experience when it comes to returns and something that happens fast, automation doesn’t hurt in these scenarios since it can be quick.

Bringing Loop and Gorgias together for a seamless customer experience that saves your team time is like a dream come true.
But how exactly, can this address the issues we’ve been discussing?
First off, this partnership will allow your support team to use that extra time in valuable ways that make sense and benefit the business. For example, focusing more on new customers, shipping issues and more.
Secondly, it benefits your customers since it allows them to take control of their returns and do things on their own time. This makes it more seamless and makes them feel like the return process is easier than ever.

Using both Loop and Gorgias together will create a better environment all around, decreasing stress both within your support team and customers so that your team can focus on conversions instead of returns.
Whether you’ve been looking for a way to reduce your support requests related to returns, or if it’s something new on your radar, it’s worth thinking about. Thankfully, you can sign up for a free 7-day trial with Gorgias and add in the Loop integration to see just how much time it can save.

TL;DR:
Zendesk's pricing starts at $19/agent/month for basic ticketing and scales to $169/agent/month for enterprise omnichannel support. But advertised rates rarely tell the full story, as add-ons and implementation costs push total ownership higher.
This guide breaks down Zendesk's plan tiers and true costs so you can budget accurately. We'll also show you where transparent, ecommerce-focused alternatives might be a better fit.
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Zendesk uses per-agent pricing across 2 main product lines: Support (ticketing only) and Suite (omnichannel). Plans range from $19 to $169/agent/month depending on features and channels.
Each person on your support team needs a paid seat. As you hire, your software costs scale directly with headcount. This means a 10-person team pays 10 times what a single agent pays, and a 50-person team pays 50 times that amount.
Annual billing saves roughly 20% compared to monthly. For example, Suite Team costs $55/agent/month annually versus $69/agent/month on monthly billing. The model itself is straightforward:
Support plans focus on ticketing for email and social channels (X, Facebook). They lack phone, chat, and Help Center capabilities.
Suite plans bundle ticketing with live chat, voice, messaging, and a self-service help center. This is Zendesk's omnichannel option.
Choose Support if you only need email ticketing. Choose Suite if customers contact you across multiple channels.
Per-agent pricing means your bill grows with your team. A 10-person team on Suite Professional pays $1,150/month. A 50-person team pays $5,750/month. Understanding the marginal cost of customer service becomes critical at this scale.
Annual billing reduces costs by roughly 20%. Suite Team drops from $69/month to $55/month per agent. Monthly billing costs more but lets you test Zendesk before committing. Useful for seasonal hiring or pilot programs.
Customer Service plans provide ticketing, automation, and reporting for email and social channels. They're Zendesk's entry point but lack phone, chat, and Help Center.
Price: $19/agent/month (annual) or $25/agent/month (monthly)
Features:
No phone, chat, or Help Center. Best for very small teams handling email only.
Price: $55/agent/month (annual) or $69/agent/month (monthly)
No phone, chat, or Help Center. Best for very small teams handling email only.
Price: $115/agent/month (annual) or $149/agent/month (monthly)
Features:
Still lacks voice and chat channels. Requires Suite upgrade for omnichannel.
Price: $169/agent/month (annual) or $219/agent/month (monthly)
Features:
Maximum Support tier but still email-focused. Consider Suite for full channel coverage.
Employee Service plans include ticketing plus live chat, voice, messaging, and a help center in one package. These plans are designed for scaling teams.
Each tier includes a set number of Help Centers (1, 5, or 300). Multi-brand businesses may hit this limit.
Price: $29/agent/month (annual) or $39/agent/month (monthly)
Features:
Single Help Center limits multi-brand setups. Basic AI only.
Price: $59/agent/month (annual) or $79/agent/month (monthly)
Features:
Still limited to basic AI. Advanced AI requires $50/agent/month add-on.
Price: $115/agent/month (annual) or $149/agent/month (monthly)
Features:
Good for mid-market but still requires add-ons for full AI capabilities.
Price: Hidden, must speak to sales for a quote
Features:
Highest tier but add-ons still required for full AI, WFM, and security features.
Base plans don't include all AI and specialized features. Add-ons cost $25-50/agent/month each and compound quickly across your team.
A 10-agent team adding Advanced AI ($50) and WFM ($25) pays an extra $750/month beyond base plan costs.
Price: $50/agent/month
Must purchase for all agents. No selective assignment.
Example: 10 agents = $500/month additional cost
Price: $35/agent/month for conversation analysis, agent coaching, and performance tracking
Available across all plan tiers. Useful for larger teams managing schedules and quality.
Price: $25/agent/month for scheduling, forecasting, and capacity planning
Available across all plan tiers. Useful for larger teams managing schedules and quality.
Price: $50/agent/month
Available across all plan tiers. Useful for larger teams managing schedules and quality.
Ideal for regulated industries like healthcare and finance.
Price: $50/agent/month
Powered by Amazon Connect, this add-on allows teams to manage calls, contacts, recordings, and transcriptions.
Advertised prices rarely reflect the true cost. Implementation, training, and add-ons push total cost of ownership higher. This ultimately impacts your customer service return on investment (ROI).
Hidden costs include:
Small team (5 agents): Starts with Suite Team ($55/agent/month = $275/month). Adds Advanced AI ($50/agent) for holiday rush. Total jumps to $525/month, nearly double.
Mid-market team (20 agents): Needs Suite Professional ($115/agent) plus AI ($50) and WFM ($25). Total: $3,800/month or $45,600/year.
Enterprise (50 agents): Full add-on stack (Suite Enterprise $169 + AI $50 + WFM $25 + QA $35 + Data Privacy $50). Total: $329/agent/month or $197,400/year.
Optimal plan varies by team size, channel needs, and budget. Here's what makes sense for different segments.
Recommended: Support Team ($19/agent) if email-only. Suite Team ($55/agent) if you need chat or phone.
Considerations:
Recommended: Suite Professional ($115/agent) for omnichannel, SLAs, and analytics
Considerations:
Recommended: Suite Enterprise ($169/agent) with full add-on stack
Considerations:
Zendesk's per-agent pricing with add-ons can exceed alternatives that include more features in base plans.
Freshdesk starts at $15/agent/month with omnichannel included. Transparent pricing, no hidden add-ons.
HappyFox starts at $29/agent/month with unlimited agents on higher tiers. Better for scaling teams.
Kustomer uses session-based pricing instead of per-agent. Better for high-volume, lower-complexity support.
Ecommerce brands often choose Gorgias for Shopify-native features, transparent pricing, and included AI capabilities without per-agent add-ons.
Pricing models compared:
When Zendesk makes sense:
When to consider alternatives:
Zendesk's pricing works for large organizations with complex needs and dedicated budgets. But the per-agent model with mandatory add-ons pushes total costs higher than many teams expect. For ecommerce brands, platforms built specifically for online retail often deliver better value with clearer pricing.
Still looking for a helpdesk? See how Gorgias delivers transparent pricing and ecommerce-specific features. Book a demo.
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A quick look into BigCommece, and you'll quickly see one of the main advantages about
As eCommerce-Aholic says in their YouTube video: 5 reasons to choose BigCommerce over Shopify, when deciding whether a SaaS ecommerce platform is right for you, you have to consider APIs.
Because more often than not, you don’t have access to the underlying code fuelling your ecommerce website.
This is where APIs come into their own.
In short, API stands for 'Application Programming Interface.' This enables two apps to communicate with each other. As such, this is what allows you to extend the overall functionality of your chosen ecommerce platform.
With that in mind, let’s delve into this subject a little deeper.
BigCommerce's API coverage is incredibly impressive. As is the number of API calls that BigCommerce can process per second. In fact, it can handle 100 times more API calls per second than Shopify Plus!
Shopify limits you to just two API requests a second, or four API per second if you’re a Shopify Plus user. Whereas BigCommerce can handle a whopping 400 API calls per second!
Let’s take synchronizing your entire stock list with BigCommerce’s Catalog API as an example. This API enables you to integrate your BigCommerce store with your POS and multiple online sales channels...so that you can handle everything from a single platform. Needless to say, this makes selling on popular third-party platforms like Amazon, Walmart (Jet), Wayfair, Best Buy, Houz, etc. a breeze!
So, suppose you’re running a large enterprise and have thousands of items to synchronize (or have tons of different product options). In that case, 25,000 products could take over four hours to sync on Shopify! Whereas, with BigCommerce, that same volume of merchants would take around a minute.
Following this same logic, if you're syncing multiple systems with your ecommerce store, you’ll be thankful that BigCommerce handles so many API calls per second. After all, there are only so many hours in the day!
The biggest perk?
But, that isn't the best thing about BigCommerce's APIs. In fact, it's the real-time information your shipping and logistics partners feedback to your store that's of the most value.
Of course, this also has a knock-on effect on the quality of your customer support. Slow and unreliable API calls adversely impact your store's inventory levels and shipping updates for customers.

While we're on the topic of customer service, just think of the kind of high-quality customer support you could provide, using one of your many APIs to connect your BigCommerce store with Gorgias.
You'll be able to offer all the following at lightning speed:
On top of the obvious benefits listed above, you can also use BigCommerce's API points to create mobile apps using data retrieved from your online store. Not only does this make app development much easier, but ultimately, it'll also provide a seamless experience for the end-user. Win-win!
For the sake of ease, we've listed some of the different kinds of BigCommerce APIs you can use and how they could benefit your online store. Hopefully, this provides some much-needed inspiration for making the most out of your abundance of APIs.
Storefront APIs: This enables you to manage customer carts and checkouts (from the client's side and your back end). For instance, you can add products to a shopper’s cart, gather and display customer order info, update billing addresses, and erase current e-shopping trolleys.
GraphQL Storefront API: Similar to above, you can also use this API to access your customer's product info and modify customer details and orders. But more unique to this API, you can build frontend apps. This permits you full control over the look and feel of your brand.
Scripts API: You can insert any scripts for analytics, single-click apps, live chat, support plugins, and theme extensions for any apps or integrations you’ve downloaded, so you'll no longer have to manually paste code into your control panel.
Widgets API: Here, you can create modular blocks of content to reuse wherever you want. Similarly, you can also develop tools to empower non-techy users to manage your content. Trust us, your team will thank you for not making them go to the trouble of modifying the theme files.
Payments API: As its name so aptly suggests, this API facilitates the acceptance of customer payments. You can create custom checkouts either using a Server-to-Server Checkout API Orders endpoint or via the V2 Orders endpoint.
First off, you need to obtain the API credentials.
From there, you can experiment with your APIs using BigCommerce's in-built 'Request Runner.' Here, you just copy and paste your store_hash, client_id ID, and access_token.
Then once you've done that, hit 'Send.'
Alternatively, you can use the REST Client extension to make API requests, using the Visual Studio Code. Once you've installed this extension, you'll need to create a new file called BigCommerce.http.
Then you'll need to paste the following:
@ACCESS_TOKEN = your_access_token
@CLIENT_ID = your_client_id
@STORE_HASH = your_store_hash
###
GET https://api.bigcommerce.com/stores/{{STORE_HASH}}/v3/catalog/products
X-Auth-Token: {{ACCESS_TOKEN}}
X-Auth-Client: {{CLIENT_ID}}
Content-Type: application/json
Accept: application/json
Now, hit 'Save.'
This should trigger a 'send request' link to display above GET. Click 'send request,' and the API response will appear in a split window.
There are other ways to start using BigCommerce APIs, but we don't have time to go through them all in this article. Hopefully, this has been enough to help steer you in the right direction. For more information, take a look at BigCommerce’s API documentation.
We hope having read this article, you have a better idea of what you could achieve with BigCommerce's generous API allowance. The BigCommerce API lets you sync inventory across channels, and locations, connect to apps, and offer exceptional customer support. How have you used the BigCommerce API?


