Affiliate disclosure: The link to Gorgias on this page is an affiliate link. If you sign up through it, we may earn a commission at no extra cost to you. Our review reflects an independent evaluation of the tool against ecommerce-specific use cases; the affiliate relationship does not change our assessment, our pricing breakdown, or the tradeoffs we flag.
Gorgias is the customer-support helpdesk built specifically for ecommerce, and for shops past the small-team threshold it is the obvious default. Where Tidio, Crisp, or Help Scout serve the broader market, Gorgias narrows in on the operator running a Shopify or BigCommerce shop with real support volume — and that focus shows up in every part of the product, from the order-context panel to the AI Agent’s understanding of returns and refunds.
What it actually does for ecommerce sellers
Gorgias is a unified inbox that pulls customer conversations from email, live chat, Facebook Messenger, Instagram DMs, SMS, WhatsApp, and customer reviews into a single workspace. The Shopify, BigCommerce, and Magento integrations push order data, customer history, subscription status, and product details into the agent’s view of every conversation, so when a customer asks “where’s my order” the agent has the tracking link, the SKU, and the order date one click away. The agent can refund, cancel, edit, or duplicate the order from inside the ticket without alt-tabbing to the shop admin — that single capability is what makes the tool feel native rather than bolted on.
The AI Agent layer (formerly called Auto, now branded Gorgias AI) is where the platform has invested heaviest in 2024-2025. It auto-resolves repetitive tickets — order status, returns, refunds, address changes, sizing questions — at deflection rates that real shops report at 30-60% depending on category. Crucially, it takes action on the agent’s behalf: actually issuing the refund, actually editing the address, actually cancelling the subscription, with brand-specific guardrails (refund only if order placed within 14 days, etc.) configured in the rule engine. For shops where customer support is genuinely a bottleneck rather than a side concern, that capability changes the operating model.
Macros, automation rules, intent detection, sentiment analysis, and SLA tracking round out the platform. The native Shopify integration is the deepest in the category — multi-store support, tag-based segmentation, and customer lifetime value visibility are wired in.
Best for
- Shopify and BigCommerce shops doing 1,000+ monthly support tickets across email, chat, and social.
- Mid-market DTC brands with a dedicated support team of 2-15 agents.
- Subscription commerce (consumables, beauty, supplements) where ticket volume is high relative to revenue.
- Multi-store operators running several brands or geographies on Shopify Plus.
It is overkill for shops with under 200 monthly tickets — the price is real, the setup time is real, and Tidio or Crisp covers the use case for less. It is also less suited for non-ecommerce support contexts (SaaS, services, B2B); the ecommerce-native data model is the strength but it is also the boundary.
Pricing breakdown
Three published tiers as of 2026: Starter at roughly £8 per month (50 tickets, basic chat — useful for trials and very low-volume shops), Basic at £45 per month for 300 tickets, Pro at £290 for 2,000 tickets, Advanced at £790 for 5,000 tickets, and Enterprise with custom pricing. The AI Agent is priced separately by AI resolution count, with shops typically adding £400-£2,000 per month depending on deflection volume.
The right way to size Gorgias spend: count your monthly billable tickets (email, chat, social DMs combined), pick the tier that covers them with 20% headroom, and budget AI Agent on top once the foundational helpdesk is in place. Annual billing knocks 20% off, and Shopify Plus partner pricing is available through Gorgias’s partner programme for qualifying merchants.
Where it falls short
The pricing structure is the most-cited friction. The per-ticket cap creates a tension every operator runs into: spend more on Gorgias by upgrading the tier, or spend more on agents because tickets are being held in the queue. Shops with seasonal volume spikes (Q4, BFCM) particularly feel this — exceeding the ticket cap incurs overage fees that can surprise the finance team if not budgeted.
The AI Agent’s accuracy depends heavily on the quality of the help centre content, the macros, and the rule engine. Shops that treat AI Agent as a switch they flip get inconsistent results; shops that invest two to four weeks in tuning the knowledge base and configuring the action rules see deflection rates climb to the 40-60% range. The configuration overhead is real and small teams sometimes underestimate it.
Reporting is solid but the dashboards skew toward operational metrics (response time, resolution rate, agent productivity) rather than customer-experience or revenue-impact metrics. Teams that want to attribute support to revenue lift end up exporting data to a BI tool or Looker rather than analysing in-platform.
Finally, multi-channel coverage is genuinely good but the WhatsApp and TikTok DM integrations lag the Meta and email channels in feature depth. For shops where those channels are primary, expect to verify capability rather than assume parity.
Compared to the alternatives
The realistic competitive set: Tidio is the down-market alternative for shops doing under 1,500 monthly conversations — cheaper, simpler, and capable of handling the workload until per-agent pricing becomes the better deal. Zendesk is the legacy enterprise option, deeper on workflow customisation but generic on ecommerce data — the right answer for hybrid SaaS-plus-ecommerce businesses, the wrong one for a pure DTC brand. Re:amaze is the closest direct competitor and Shopify-focused, but its AI features have slipped behind Gorgias through 2024-2025. Help Scout has the best inbox UX in the category but a thinner ecommerce integration story. Front handles multichannel inboxes well for teams that lean on shared email but isn’t built around order data the way Gorgias is.
For Shopify or BigCommerce shops above the conversation-volume threshold where AI deflection and order-context macros pay back, Gorgias remains the obvious default. The realistic downgrade is Tidio; the realistic upgrade is Zendesk only when SaaS-style support tickets start to dominate the queue.
Our take
For Shopify or BigCommerce shops with real support volume, Gorgias is the right answer with very few caveats — the ecommerce-native data model, the AI Agent’s action-taking capability, and the helpdesk fundamentals are the strongest combination on the market for this use case. The transition trigger is when ticket volume reaches the point that agents are spending meaningful time alt-tabbing to the shop admin or where AI deflection of repetitive enquiries would free a meaningful headcount of hours. Below that, Tidio or Crisp covers the basics for less. Above it, the productivity gain pays back the price difference within a quarter — measured properly, with attention to first-response time, resolution rate, and agent time saved per resolved ticket.
FAQ
Does Gorgias integrate with Shopify natively?
Yes — the Shopify integration is the deepest in the category. Order data, customer history, subscription status, and product details flow into the helpdesk view, and agents can refund, edit, duplicate, or cancel orders from inside the ticket without leaving Gorgias. Multi-store Shopify Plus deployments are supported.
How does Gorgias AI Agent compare to Tidio’s Lyro?
Both deflect repetitive questions, but Gorgias AI Agent’s differentiator is action-taking — it actually issues refunds, edits addresses, and cancels subscriptions inside Shopify, with brand-specific rules. Tidio’s Lyro answers questions but stops short of taking real shop actions on most plans. For shops where deflection means resolution (not just answer), Gorgias is the deeper option.
Is Gorgias worth it for a shop with 500 monthly tickets?
Borderline. The Basic tier covers it numerically, but the ticket-based pricing model and AI Agent costs make the maths tighter than at higher volumes. If support is a strategic differentiator for the brand or if the team is already at capacity, yes. If it is currently manageable in a shared inbox, defer until volume or growth justify the upgrade.