AislePilot AI

Customer support comparison

Intercom Fin vs Tidio Lyro for ecommerce

Start with the workload, not the chatbot demo. Fin is worth testing when you need an AI layer for an existing helpdesk or a connected shopping assistant. Lyro is worth testing when you want Tidio's support workspace and a conversation allowance you can budget around.

Facts checked 16 October 2026. This is a documentation-based comparison, not a hands-on benchmark. Recommendations are editorial judgment. We have not measured either product's resolution rate.

Neither vendor influenced this comparison. The links below are source links, not affiliate links.

The short answer

Your starting pointTest firstWhat to check
You already have a helpdesk you want to keep.Fin on your current helpdeskSupported integration, handoff behaviour and the minimum monthly commitment.
You want a Shopify storefront assistant that uses catalogue data and helps shoppers reach checkout.Fin for EcommerceProduct accuracy, cart behaviour and its web-channel limits. Do not confuse this with general Fin support coverage.
You want Tidio's human support workspace alongside FAQ automation and order-status lookups.Tidio with LyroThe human conversation allowance, separate Lyro allowance and setup needed for Actions.
You mainly need email or other off-storefront support.A channel-specific pilotVerify the exact product and channel. A storefront shopping demo does not prove email support fit.

Two comparisons hide inside this one

Fin can be purchased with Intercom's helpdesk or used on a supported existing helpdesk without Intercom seat costs. That makes an AI-layer decision different from a helpdesk replacement. Tidio lists Customer Service, Lyro AI Agent and Flows as separate products that can be bought individually or together.

There is another distinction: Fin for Ecommerce combines shopping assistance with support. Intercom documents native Shopify catalogue and order-data connections, product recommendations, cart updates and checkout guidance. It says full shopping functionality belongs in the web Messenger; email, social, voice and Slack are not currently supported by this ecommerce role. General Fin's broader channel claims should not be read as coverage for that specific role.

If your problem is repetitive delivery questions, test support automation. If it is helping shoppers choose products, test catalogue discovery and cart behaviour. Count those outcomes separately. A shopping interaction is not evidence that a support ticket disappeared.

Shopify actions: available does not mean configured

Fin for Ecommerce's Shopify setup includes connecting the store, enabling the Intercom app embed, training from store content and testing before deployment. Multiple stores require attention to catalogue audiences so shoppers see the right store's products.

Tidio's Shopify documentation describes order information and human-agent actions such as refunds, cancellations and shipping-address edits inside its panel. Those human features do not, by themselves, prove that Lyro can perform the same actions autonomously.

Lyro Actions can retrieve and send data through external APIs. Tidio supplies a Shopify order-status template, while custom actions depend on the external API and your configuration. Its documentation explicitly warns that it does not validate or roll back integrations. Treat identity checks, permissions and testing as implementation work, not a box already ticked by installing the widget.

Decision rule: Ask each vendor to demonstrate your actual workflow with safe test orders. Start with read-only status lookups. Keep refunds, cancellations and address changes behind explicit rules and a human escalation path until they have passed your tests.

Pricing: compare the billing event

Intercom's public pricing lists Fin from US$0.99 per outcome. On Intercom's own helpdesk, listed annual-billing seat prices start at US$29 for Essential, US$85 for Advanced and US$132 for Expert per seat per month. Fin on an existing helpdesk has no seat charge, but a minimum monthly commitment applies. Optional add-ons and some channels have separate charges.

An outcome is not a guaranteed labour saving. Intercom's pricing FAQ includes customer-confirmed resolution, no further help requested after a response, and completed Procedures including handoffs. Its ecommerce guide describes resolutions for shopping as well as support. Check the billable event for your deployment before using it as a saved-ticket count.

Tidio separates human-agent billable conversations from Lyro conversations. Its FAQ defines a Lyro conversation as an interaction with at least one Lyro reply, even if several replies follow. Human-agent conversation allowances count conversations with a human response; Lyro and Flows replies are excluded from that human allowance.

Tidio's pricing page displays plan and allowance selectors, with different billing choices and managed-service options. Rather than treating one displayed starting price as a complete quote, record the monthly total for your selected Customer Service plan, Lyro allowance and any Flows allowance. Confirm what happens when an allowance is exhausted and whether the proposed plan uses conversation or resolution billing.

A small worked example

If Fin produces 1,000 billable outcomes at US$0.99 each, the AI charge is US$990. Three Essential seats at the listed annual-billing rate add US$87 per month, making US$1,077 before add-ons, channel charges, tax and implementation. This is arithmetic, not a vendor quote or an ROI estimate.

For Lyro, price the allowance that covers your expected AI-touched conversations, not only the ones you expect it to solve. Compare both options against the same human workload after automation. A lower invoice can still be a worse investment if agents have to repeat the work.

Run a pilot that can fail honestly

Build a small test set from recent contacts: delivery status, returns policy, product fit, a changed address, a damaged order and an ambiguous request. Include incomplete order details, stale catalogue information and a request that should go to a human.

Run the same cases against both products. Neither a vendor's headline automation percentage nor an independent comparison's unsourced rate is a forecast for your store. We found no comparable, independently verified test that justifies ranking these two by resolution rate.

Our recommendation

Keep an existing helpdesk if it works and the missing piece is AI. Fin's separate deployment option is a reason to test before migrating. For a Shopify shopping use case, test Fin for Ecommerce against your catalogue and storefront, with its channel limits in view.

If you want Tidio's workspace and your first automation scope is policy questions plus read-only order information, Lyro is a reasonable shortlist candidate. Budget for its specific allowance and for configuring Actions. Do not buy either product on the promise that it will autonomously handle every order change.

Use the support ROI calculator to model a conservative payback range, and the AI support cost model to list costs outside the subscription. For a more ecommerce-native helpdesk comparison, read Gorgias vs Tidio. Our benchmark rules explain why we do not publish invented averages.

Sources and limits

Official pricing and documentation support the product facts below. Vendor comparisons are interested sources; independent articles are context, not verified performance evidence. Features, plan selectors and billing definitions can change. Confirm the final configuration with the vendor before buying.

  1. Intercom pricing: seat prices, Fin outcome charges and billing definition.
  2. Fin for Ecommerce explained: catalogue, shopping workflows, channels and charging.
  3. Fin's Shopify setup: store connection, app embed and testing.
  4. Tidio pricing: product separation and human/AI conversation definitions.
  5. Lyro Actions: API capabilities, setup and risk warnings.
  6. Lyro Action templates: Shopify order-status template.
  7. Tidio Shopify FAQ: human-agent order management and recommendations.
  8. Agent Whispers comparison: independent editorial context, not used to establish resolution rates or current pricing.

Method: public-source review on 5 October 2026. No paid placement, product trial or customer dataset was used.