Increase your sales by reaching out to your customers with personalized communication across your Adobe Commerce store.

Get more done with Tidio and ReSci Retention Science integration
Use ReSci Retention Science churn scores to decide who a Tidio conversation should reach.
No credit card required
Integration availability depends on your Tidio plan.
Category
Integration availability depends on your Tidio plan.
Use cases
What you can do with Tidio and ReSci Retention Science
Reach out before they lapse
A high churn score from ReSci Retention Science can open a conversation while it still matters.
Handle a valuable customer properly
Predicted value tells the agent when a small goodwill gesture is worth making.
Send chat outcomes back
A resolved complaint is a signal the model should have, not just an email metric.
Time an offer sensibly
Purchase likelihood decides whether an offer belongs in this conversation.
Overview
ReSci Retention Science predicts what a customer will do next: buy again, lapse, spend more. Those predictions usually end in an email. A conversation is the other option, and often the better one for the customers worth keeping. Reading ReSci Retention Science scores into Tidio lets you open a chat with a high value account before it lapses, and tells the agent who they are talking to when somebody writes in.
Key features
- Churn risk in the chat The agent knows whether this customer is about to lapse.
- Value in view Lifetime value changes how a complaint is handled.
- Outreach that is targeted Conversations opened with the accounts worth the time.
- Events back to the model What happened in chat becomes a signal to learn from.

ReSci Retention Science
Ecommerce
Tags
Ecommerce
Contact Sync
How it works
Connect ReSci Retention Science in minutes
1
Connect ReSci Retention Science and Tidio
Zapier, Integrately or Make can carry scores, or the Tidio API can accept them and return events.
2
Choose two or three scores
Churn risk and predicted value are enough. More numbers in a sidebar get ignored.
3
Send outcomes back
Conversation results become signals, so the model learns from more than email.
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Frequently asked questions





