Tyra vs Respond.io

Respond.io covers more channels and ships a more elaborate workflow builder; Tyra goes narrower and deeper on the channels European Shopify brands actually sell on, with EU hosting and an AI agent that reads your live catalog.

Choose Tyra if

Your customers reach you on WhatsApp, Instagram, Facebook Messenger, and SMS, and you run the business on Shopify. You want data stored in Ireland under EU law without a Standard Contractual Clauses paper trail, and you want your AI agent to answer "do you have the 38 in stock?" with the actual variant rather than a polite hedge. You would rather have one company on the hook for WhatsApp delivery (Tyra is a Meta BSP directly, not through a reseller) than a chain of providers. You value being live in an afternoon over having a workflow canvas that takes a quarter to master. Most of the brands we onboard fit this shape: 20 to 500 SKUs, one to fifteen agents, Shopify checkout, a real WhatsApp install base in Germany, France, Spain, the Nordics, or Italy.

Choose Respond.io if

Your customers are on channels we do not support, and that gap is structural rather than aspirational. LINE in Japan and Thailand, Telegram in Eastern Europe and the Gulf, Viber in parts of Central Europe, WeChat in China; if any of those is a real revenue channel, Respond.io has direct integrations and we do not. Their visual workflow builder is genuinely more capable than ours: branching, parallel paths, async waits, and a level of conditional logic that suits ops teams with a dedicated automation owner. If you run a large support floor (twenty-plus agents across multiple departments) their role and permission model is more granular, and their reporting dashboards are more customisable. None of this is faint praise; it is where they have invested for years and it shows.

EU hosting vs Hong Kong hosting

Respond.io is headquartered in Hong Kong and runs on global cloud infrastructure with region selection. For European brands this means Standard Contractual Clauses, a non-EU primary entity, and a data protection conversation that ends with "it is compliant, but." For a DPO at a German cosmetics brand or a French DTC food company, "but" is not a good word.

Tyra is incorporated in the EU, hosts core message processing in AWS Ireland, and uses EU sub-processors for the parts of the stack that touch message content. There is no transatlantic transfer to argue about for the message body, the customer profile, or the order context the agent reads from Shopify. It is the same WhatsApp, the same Meta rails, but the operator of record sits inside the GDPR perimeter.

This matters less if you are a global business with a Hong Kong or Singapore parent. It matters a lot if you are a European brand and procurement, legal, or your retail partners ask where the data lives.

Horizontal breadth vs Shopify-vertical depth

Respond.io is built to be the inbox for any channel anywhere. That is a real product strategy and it serves their largest customers well. The cost is that every channel is a connector among many, and depth on any single one is bounded by what the most generic abstraction can express.

Tyra picks the channels European Shopify brands actually run revenue through (WhatsApp, Instagram, Facebook Messenger, SMS) and builds the surface area that matters underneath them. WhatsApp gets product carousels rendered from your live Shopify catalog, single-use discount codes generated on demand, abandoned checkout recovery wired to Shopify's checkout events, and order status replies that read from the actual fulfilment record. Instagram DM threads carry the same context. Facebook Messenger lives in the same inbox with the same customer timeline rather than as a bolt-on.

If your roadmap requires LINE or WeChat, none of this depth helps you. If your roadmap is "sell more on WhatsApp in Germany next quarter," depth is the thing.

Workflow builder vs catalog-grounded LLM agent

Respond.io's workflow builder is the centre of gravity in their product. You compose triggers, branches, conditions, AI nodes, and human handoffs into a canvas that can model most support and sales flows. It is powerful and it rewards investment.

Tyra leans the other way. We ship event-triggered automations for the common cases (welcome flows, abandoned cart, post-purchase, review requests, ticket routing) and put the intelligence in an AI agent that is grounded in your Shopify catalog at query time. It reads stock, price, variants, collections, and the customer's order history, and answers in your brand voice. When a shopper asks "is the linen blazer still in the sand colour, size M?", it checks the variant, confirms, and offers to send a checkout link. When they ask "where is my order?", it pulls the tracking from the fulfilment record.

Neither approach is universally better. A team with a dedicated automation engineer and complex non-commerce flows will get more out of Respond.io. A team that wants the agent to handle the long tail of "is this in stock, how do I return it, when will it ship" without anyone hand-authoring branches will get more out of Tyra.

Pricing model

Respond.io publishes a tiered SaaS plan (Starter, Growth, Advanced, Enterprise) priced per workspace with contact caps and feature gates, plus per-channel costs and, on some channels, a markup on top of the underlying carrier or Meta fee. The Enterprise tier is custom and sales-led.

Tyra publishes a per-seat price with Meta WhatsApp conversation fees passed through unchanged, no markup on Meta charges, and no contact-count gate. Shopify and the WhatsApp Business API are included in every plan rather than locked behind a higher tier. Whether this is cheaper for you depends on your seat count, contact volume, and channel mix; for most European Shopify brands in the 1,000 to 50,000 monthly conversations range it works out lower, but the honest answer is run the numbers against your own volume.

Frequently asked questions

Is Respond.io a worse product than Tyra?: No. They are older, broader, and have invested heavily in a workflow canvas and channel coverage that we have not matched. They are a better fit than us for businesses whose channel mix sits outside Meta plus Facebook Messenger and SMS, or whose ops team wants a deep visual builder. We win in a specific segment: European Shopify brands who want depth on the channels they actually use and EU data residency without caveats.
Can I keep my WhatsApp number if I move from Respond.io to Tyra?: Yes. Both companies are direct Meta BSPs, so the number transfer goes through Meta's BSP-to-BSP process without a third party in the middle. Templates re-approve under our BSP, typically within a day. The slowest part is usually rebuilding workflows you authored in Respond.io, since visual canvases do not export cleanly between vendors.
Does Tyra support Telegram, LINE, Viber, or WeChat?: No. We support WhatsApp, Instagram, Facebook Messenger, and SMS. If any of those four are essential revenue channels for you, Respond.io is the correct choice and you should not switch.
How does Tyra's AI agent compare to Respond AI?: Respond AI is a general-purpose LLM layer you can train on documents and slot into workflow nodes. Tyra's agent is purpose-built for commerce: it reads the Shopify catalog and order graph at query time rather than relying on a static knowledge base, so answers about stock, price, variant availability, and order status are always current. For non-commerce support use cases the two are closer; for commerce-specific replies Tyra's grounding tends to produce better answers with less configuration.
We are a large support org with twenty-plus agents. Is Tyra a fit?: We have customers in that range, but Respond.io's permission model and reporting customisation is more mature for organisations with multiple departments and complex access requirements. If your structure demands fine-grained role design across many teams, evaluate both honestly; if your team is up to roughly fifteen agents on a single brand, Tyra's standard roles cover the common cases.
How long does onboarding take?: Most Tyra customers are live in under an hour for the inbox and within a day for the agent and core automations. Respond.io's depth means a typical implementation takes two to four weeks if you use the workflow builder seriously. Neither timeline is wrong; they reflect different product philosophies.
Where is my data stored?: Tyra stores message content and customer data in AWS Ireland with EU sub-processors. Respond.io is Hong Kong-headquartered and runs on global cloud infrastructure with region selection and Standard Contractual Clauses for EU customers. If EU data residency is a procurement or DPO requirement, the difference is material.

Ready to see Tyra in action?

Book a 30-min demo and we'll show you how Tyra handles customer conversations for European Shopify brands.