Two purpose-built prediction tools: one forecasts how an email campaign will perform before you send it, the other flags which customers are at risk of churning while there's still time to act.
Enter your subject line, send time, audience segment, and past performance. The model forecasts open rate, CTR, conversion rate, and ROI before the campaign goes out, so you can catch a weak send while it's still editable.
Feed in login activity, support tickets, payment delays, and contract type. A sequence model trained on customer behavior scores churn risk and explains exactly which factors are driving that score.
No switching platforms or re-entering customer data to move between the email and churn tools.
Every prediction ships with the specific factors driving it, using SHAP-based explainability under the hood.
Both tools return plain-language next steps alongside the numbers, so a prediction turns into a decision.
Deeper look at what drives each prediction, and how to act on the results.
Try either product with your own campaign or customer data.
