Can a per-user send time optimization model improve push open rates by more than 15% and reduce opt-out rates below 3% per month by predicting individual fatigue windows?
Build a personalized send time model that accounts for individual fatigue patterns to maximize engagement while minimizing opt-outs
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Can a per-user send time optimization model improve push open rates by more than 15% and reduce opt-out rates below 3% per month by predicting individual fatigue windows?
Bruin connects to your CRM Platform, Data Warehouse, Telemetry and runs the analysis automatically.
It tracks Open rate improvement, opt-out rate reduction, model accuracy and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.
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