# Shopify Support Software Buyer's Checklist: 12 Questions Before You Sign > Before you sign any contract for Shopify support software, ask these twelve questions to uncover the hidden costs and capability gaps that vendors won't volunteer. Source: https://arbyn.app/blog/shopify-support-software-buyer-s-checklist-12-questions-before-you-sig Published: 2026-07-24 --- It’s the first Tuesday of the month, and the invoice is in. You stare at the number, doing the math for the third time, a knot tightening in your stomach. The base subscription for your Shopify support software is there, just as you expected. But below it are two other lines: a charge for ticket overages and another, larger one for "AI Resolutions." Your predictable monthly software cost, the one you sold to your finance team, is nearly double what you budgeted, and you have a sinking feeling this is the new normal. For stores navigating the crowded, often-confusing market of customer support tools, this moment is painfully common. The advertised price is rarely the real price. To avoid this surprise, you need a better evaluation process, a Shopify support software checklist that gets beneath the slick feature list and exposes the true cost and capability of any platform before you commit. The right questions don't just find a tool; they protect your margins from a thousand tiny cuts. 1. What is the actual billing model, beyond the sticker price? The most critical mistake stores make is assuming the advertised monthly fee is the final cost, a number they can plug into a spreadsheet and forget. Most support software pricing is designed to be deceptively simple upfront, but it’s engineered to scale in the vendor's favor, turning your growth into their revenue. The first two questions on your checklist must aggressively dissect this. Your goal is to build a cost model based on your store's actual ticket volume, not the vendor's idealized pricing tier, which often feels like a fantasy. The most common models you'll encounter are per-ticket, per-resolution, and per-seat, each with its own unique and often painful hidden costs. A per-seat model, common with tools like Zendesk, seems straightforward, you pay for each human agent using the software. But the real expense emerges with mandatory AI add-ons, which can run an additional $50 per agent per month paid yearly, plus a separate fee for each automated resolution that Zendesk does not publish at all. Suddenly, a five-agent team isn’t just paying for five seats; they’re paying for five seats plus five AI licenses, plus a variable usage fee that punishes you for successfully automating. Per-ticket and per-resolution models are where costs become truly unpredictable, especially for businesses with seasonal spikes. Gorgias, a popular choice for Shopify stores, uses a ticket-based model. A plan might include 2,000 tickets for a flat monthly fee, but any volume beyond that incurs overage charges, often around $0.36 to $0.40 per extra ticket. During a Black Friday sale, when ticket volumes can easily double or triple, it’s easy to generate thousands of extra tickets, turning a predictable bill into a major, margin-crushing expense. The problem is compounded by a practice some call "double-billing," where a single conversation resolved by AI can be counted twice: once as a billable helpdesk ticket against your plan's allowance, and a second time as a separate AI automation fee. That automation fee itself is a crucial detail. Both Gorgias and Intercom Fin charge for AI resolutions: Fin at $0.99 per outcome, and Gorgias at $1.50 per automated interaction past the allowance in your plan. Both rates were read first-party on 27 July 2026. If your AI automates 1,000 conversations, that is $990 on Fin, and on the Gorgias Pro plan it is 810 chargeable interactions at $1.50, or $1,215, on top of your base subscription and any human agent seat costs. Tidio operates similarly, with its Lyro AI chatbot billed as a separate add-on starting at $39 per month for a small number of AI conversations, a quota that is quickly exhausted by growing stores, forcing a steep upgrade. This brings us to the first two questions for your checklist: - Beyond the monthly subscription, what other variables am I charged for? (List them: per ticket, per AI resolution, per agent seat, overage fees, channel access fees, implementation fees.) - Is there a cap on conversations, tickets, or AI resolutions, and what is the exact per-unit cost for exceeding that cap? (Get the number. Is it $0.40 per ticket? $1.50 per AI resolution? Know the penalty before you scale.) 2. How does the "AI" actually work, and what can it do? The term "AI" is the most abused phrase in software marketing today, often used as a glittering generality to distract from technical limitations. In the context of Shopify support, it can mean anything from a glorified FAQ search bar to a truly autonomous agent that can take action within your store. Your next task is to force clarity on this point and cut through the marketing fluff. Many platforms advertise AI, but their technology can only "deflect" questions by suggesting help center articles. This isn't resolution; it's a redirection. The customer still has to do the work to find the answer themselves, and if they can't, the conversation still ends up with a human agent anyway. This model reduces the number of conversations that reach your team, but it often does so at the expense of customer satisfaction, turning a simple question into a frustrating scavenger hunt. True AI resolution means the software understands the customer's intent and uses deep integrations with Shopify to solve the problem directly within the conversation. This is the difference between telling a customer *how* to track their order and simply telling them, "Your order will arrive on Friday." The crucial capability to probe is the AI's ability to perform actions, not just provide answers. Can the AI agent change a shipping address, cancel an order before it ships, issue a pre-approved discount code for a service failure, or initiate a return based on your store's policy? Most cannot. Their "AI" is a large language model that can chat, but it lacks the backend integrations, the "hands", to make changes in your Shopify admin or other integrated systems like your warehouse management software. When a customer asks for one of these actions, the AI can only create a ticket and escalate it to a human. While this is better than nothing, it falls far short of true automation and fails to reduce the most expensive part of support: human labor. You are still paying for a human agent, who costs an average of $18-$19 per hour, to perform the final action. A truly advanced system can handle some of these actions autonomously and gate the more sensitive ones (like refunds over a certain dollar amount) for a one-click human approval, but the AI still executes the task. Understanding this distinction is fundamental to calculating the tool's real-world value and its impact on your operational costs. This leads to the next essential questions for your Shopify support software checklist: - Does your AI merely deflect questions with articles, or can it perform actions within my Shopify store? (Ask for a specific list of actions, such as "update shipping address," "process an exchange for a different size," or "initiate a return.") - Which specific Shopify actions can the AI perform without human approval, and which require it? (This reveals the true level of autonomy. If every action requires human intervention, the "AI" is primarily an escalation tool, not a resolution engine.) 3. What are the real limits on channels, training, and control? Once you understand the billing model and the AI's core capabilities, the next layer of inquiry should focus on operational realities. How does this tool fit into your existing workflow, and how much control do you really have over its behavior and cost? The first area is channel support. A vendor might claim to offer "omnichannel" support, but the devil is in the details, which are often buried in footnotes on the pricing page. Do they support email, live chat, Instagram DMs, Facebook Messenger, and WhatsApp out of the box? Are any of these channels considered premium add-ons that cost extra? For many platforms, including giants like Zendesk, core support for email and chat is included, but social media integrations or advanced voice and SMS capabilities come with separate fees or require a higher plan tier. For example, adding robust voice support often requires upgrading to a higher, more expensive plan tier and may incur additional usage-based fees. You need to map the channels your customers actually use to the vendor's price list to avoid surprises and ensure you're not paying for a suite of channels you'll never use. The second area is the AI's intelligence and adaptability, which is the difference between a helpful assistant and a robotic liability. An out-of-the-box AI knows nothing about your brand's unique policies, tone of voice, or specific product nuances. It needs to be trained. A key question is whether the AI can learn from your store's historical data. Can it analyze thousands of your past support emails, chat logs, and agent macros to automatically adopt your brand's voice and learn your policies on returns, shipping, and promotions? Some systems require you to build a knowledge base from scratch, a time-consuming manual process of writing and updating articles. Others offer more advanced calibration where the AI ingests your raw data and learns automatically. This single feature can be the difference between launching in a week versus a quarter. Equally important are the guardrails. You need precise control over when and how the AI escalates a conversation to a human. Can you set rules based on keywords (e.g., "legal," "angry," "unsafe"), customer sentiment analysis, or the number of times a customer asks the same question? Without robust escalation controls, you risk the AI trapping frustrated customers in automated loops, damaging your brand's reputation and turning a salvageable issue into a public complaint. These operational realities form the next three questions on the checklist: - What channels does the tool support out of the box, and which ones are billed as separate add-ons? - Can the AI be trained on my past support conversations and help center to automatically match my brand's tone and policies? - How are escalation rules configured? Can I define the specific keywords, scenarios, and customer sentiment that trigger an immediate handoff to a human agent? 4. Does this tool help me sell, or does it only solve problems? For decades, stores have been conditioned to view customer support as a cost center, a necessary expense to be minimized. This is an outdated and dangerously limiting perspective. Every support interaction is a high-intent moment with a customer who is already engaged with your brand and has demonstrated a willingness to connect. They are asking about a product, tracking an order, or considering a return. These are not just problems to be solved; they are rich opportunities to guide, reassure, and sell. A modern support platform should not only handle inbound issues but also function as a proactive, revenue-generating channel. This requires a fundamental shift in how you evaluate these tools. Instead of asking only "How much will this save me on support costs?" you should also be asking, "How much will this help me generate in new revenue?" and demanding features that make that possible. The features that enable this are specific and tactical, not vague promises of a better experience. Does the tool allow the AI or human agents to see a customer's cart, browsing activity, and purchase history directly in the conversation? Can it proactively engage customers who are lingering on a product page or have a high-value item in their cart with a contextual offer? More importantly, can it make intelligent, personalized product recommendations inside the chat? For example, if a customer asks if a particular dress comes in blue, a simple support tool answers "no." A sales-oriented support tool answers, "No, but we have a similar style in blue that other customers who bought this dress loved, or I can notify you the moment this one is back in stock." This proactive, helpful approach can turn a lost sale into a conversion or a back-in-stock subscription. The ultimate test of a tool's commercial impact is its ability to measure its own success. Can the platform track which conversations lead to a purchase and attribute the revenue back to the specific AI or agent interaction? Without this attribution, you are flying blind, unable to calculate the true ROI of your support function and justify its existence as anything more than a cost center. This reframing of support as a sales engine leads to the next two questions: - Does the tool have features to proactively engage customers and drive sales, like in-chat product recommendations or abandoned cart triggers? - Can the platform track revenue generated from support conversations to measure its ROI as a sales channel, not just its cost as a support channel? 5. What happens to my bill when my store grows? The final, and perhaps most important, set of questions on your Shopify support software checklist concerns scalability and cost predictability. A tool that seems affordable when you handle 300 tickets a month can become financially crippling when you reach 3,000. This is the fundamental flaw of usage-based pricing models that charge per ticket or per resolution. They punish you for growth. As your order volume increases, your support volume inevitably follows, often at a rate of 20-40 tickets per 100 orders depending on your product category. With a per-unit billing model, your support software bill scales right alongside it, eating directly into the margins of your new sales. A Black Friday sales spike that doubles your revenue could triple your support bill, thanks to overage fees and AI resolution charges that kick in when volumes surge 80-200% above normal. This creates a perverse incentive: you become hesitant to fully leverage automation because you know that every conversation the AI resolves adds a direct cost to your invoice. The better the AI performs, the more you pay, a model that feels fundamentally broken for any ambitious brand. This is where you must scrutinize the vendor's pricing tiers and the cliffs between them, because that is where the financial pain hides. Many platforms have a steep, unforgiving jump between their mid-tier and enterprise plans. Tidio, for instance, has a massive gap between its more accessible plans and its expensive top tier, leaving fast-growing businesses with no viable intermediate option and facing a sudden 10x price increase. You need to model your own growth trajectory against these tiers with brutal honesty. Ask the sales representative to calculate your total monthly cost at 2x, 5x, and 10x your current ticket volume, including all overages and AI fees. Their hesitation, or the complexity of their answer, will tell you everything you need to know. The ideal solution for a growing store is a predictable cost structure that doesn't penalize success. Does the vendor offer a clear path to a flat-rate plan where you can get unlimited conversations and resolutions for a single, fixed monthly fee? This model aligns the vendor's success with yours. They have an incentive to help you automate as much as possible, because it reduces their own server load without costing you extra. It allows you to grow without the fear of a surprise bill, transforming your support function from a variable cost into a fixed, predictable investment in customer loyalty. This brings us to the final three questions for any potential vendor: - Show me the math: What would my total monthly bill be if my ticket volume doubled, and then if it grew 10x? - Is there a path to a predictable, flat-rate monthly cost, or will my bill always be variable based on usage? - What is the process for cancelling my subscription, and are annual contracts paid upfront with no refunds? (This clarifies your exit path if the tool doesn't deliver on its promises.) Billing Model How It Works Primary Vendor Example(s) Risk at Scale Per Ticket + Overage A base fee includes a set number of tickets; exceeding the limit incurs a per-ticket fee. Gorgias Very high. Costs spike unpredictably during high-volume periods, punishing growth. Per Seat + Per Resolution A base fee per human agent, plus a separate fee for each conversation the AI resolves. Zendesk, Intercom High. The more you automate with AI, the more you pay in usage fees, creating conflicting incentives. Tiered by Conversations/Sessions Plans are tiered by the number of conversations or site sessions, with steep jumps between tiers. Tidio, Rep AI Moderate to High. You can hit a "pricing wall" where a small increase in volume forces a huge jump in cost. Flat Rate (Unlimited) A single, fixed monthly fee for unlimited conversations and resolutions. Arbyn Low. The cost is predictable and does not penalize you for growth or successful automation. In a landscape dominated by complex, variable pricing designed to confuse and extract maximum value, platforms like Arbyn are built on a different philosophy entirely. The Arbyn Agent plan offers unlimited conversations and unlimited AI resolutions for a flat $99 per month. The model is designed for predictability and alignment. It ensures that as your store grows, your success isn't taxed by your support software, allowing you to forecast costs accurately down to the dollar. You get the full power of an AI agent that can handle both complex support and proactive sales conversations, with the ability to take real, meaningful action in your store, all for one fixed cost. The focus immediately shifts from managing a volatile, unpredictable expense to leveraging a fixed asset for profitable growth. It's a fundamentally different way to think about the role of support in your business. Choosing your Shopify support software is one of the most significant decisions you'll make for your store's operational health and long-term profitability. The wrong choice, based on a misleading sticker price and a slick demo, can lead to spiraling, unpredictable costs that erode your margins precisely when you should be capitalizing on growth. It can turn your biggest sales month into your most expensive support month. The right choice, however, guided by a rigorous checklist like this one, provides a predictable, scalable foundation for delivering world-class customer experiences that build loyalty and drive revenue. Don't just watch a demo and glance at the pricing page. Ask the hard questions. Demand clarity on the total cost of ownership. The health of your P&L, and your own sanity, depends on it. --- ## Pricing - **Arbyn Starter** - $0/month, permanently free. 150 conversations / month. Resets 1st of each month. - **Arbyn Agent** - $99/month flat, unlimited conversations. Or $990/year (2 months free, saves $198, 17% off). - **There is no trial.** Billing starts immediately on the Agent plan. The free Starter plan is permanent. - The conversation cap is the only difference between plans. There is no feature gating. ## Channels Live today: **support email** and **on-site live chat**. That is the complete list. SMS, Instagram DMs, Facebook Messenger, WhatsApp and Voice are on the roadmap and are NOT live. Arbyn does not edit orders or change line items. Money-moving actions (cancel, refund, discount, gift card, reship, return) require the store owner's approval, and then Arbyn performs them. Running them fully autonomously is a beta authorization and is in development. Shipping address changes are already autonomous. ## What Arbyn does on a Shopify order - **Change the shipping address**: Live. Arbyn does this on its own. Arbyn updates the shipping address on the Shopify order itself, inside the conversation, and writes the change to the order timeline. - **Cancel an order**: Live. You approve it, then Arbyn cancels the order. Anything that moves money waits for the store owner's approval. That is a deliberate control, not a missing feature. Once you approve, Arbyn fires Shopify's order cancellation itself and confirms it to the customer. - **Issue a refund**: Live. You approve it, then Arbyn issues the refund. Arbyn prepares the refund against the original payment method and sends it to you. On approval it files the refund in Shopify. You can cap the value it is allowed to prepare, per channel. - **Apply a discount**: Live. Arbyn creates a real Shopify discount and applies it to the cart, handing the shopper a checkout with the code already on it. It can also issue a discount code on an order once you approve it. - **Send a gift card, or reship an order**: Live. You approve it, then Arbyn does it. Arbyn creates the gift card, or raises the replacement order, in Shopify once you approve. - **Start a return**: Live. You approve it, then Arbyn opens the return. Arbyn opens the return in Shopify on your approval. - **Look up a gift card or store-credit balance**: Live. Arbyn does this on its own. "Do I have store credit left?" is a question most support tools answer with a human. Arbyn reads the balance itself, for a verified customer or from the code they give you, and reports the masked card, the balance and the expiry. If there is no card, it says so rather than guessing. - **Handle a subscription question**: Live. You choose what it does. Arbyn knows which of your products are sold as a subscription, shows that on the product card in the conversation, and sends a subscriber to their subscription management page to pause, skip or cancel. It answers how your subscriptions work from your own knowledge, but it does not read an individual customer's contract, so it will not state their renewal date or status. Most cancels are a customer with product piling up, and the fix is getting them to the page where they can slow the cadence down. Reading the contract itself is on the roadmap. - **Answer support email and live chat**: Live. Arbyn reads every inbound support email and every chat, works out the intent, pulls the live Shopify context, and replies in your brand voice. Money-moving actions (cancel, refund, discount, gift card, reship, return) require the store owner's approval, and then Arbyn performs them. Running them fully autonomously is a beta authorization and is in development. Shipping address changes are already autonomous.