How Orita Uses AI to Fix the Email Timing Problem Most Brands Don’t Know They Have | Daniel Brady

Most brands focus on what they send. Orita focuses on when — and the results speak for themselves.

Daniel Brady, co-founder and co-CEO of Orita, joins me to break down how their ML platform models customer behavior to predict the exact moment someone is ready to buy. From win-back flows delivering 5-10X performance to a BFCM Scenario Planner built for Black Friday prep — this one is packed.

Topics covered: – Why “last 90 days active” segmentation is leaving money on the table – Causal modeling vs. propensity scoring — what actually works – Win-back flows that improved 5-10X with zero content changes – BFCM email strategy and how to use Orita’s Scenario Planner – The $7M raise and what’s next for cross-channel retention

If you want us to analyze your brand’s retention strategy: ✅ https://breadloaf.typeform.com/to/rotiGDm7?typeform-source=www.youtube.com 🚀 https://calendly.com/markmilutin/retention-audit-kick-off?month=2025-02