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Iterable × GreenFi

Iterable x GreenFi, AI send-time doubles engagement across the board

2x open, click, and conversion rates

Shocked skepticism to astonishment at results

Why it works

The case study earns its headline number by tying a specific mechanism, Send Time Optimization powered by machine learning, directly to a named, attributable outcome. The 27% open-rate lift from the controlled journey experiment adds a second, methodologically credible data point. The Head of CRM quote carries genuine information, expressing surprise at the magnitude of lift rather than generic enthusiasm.

Steal this

Run a controlled experiment (STO vs. control group) inside a re-engagement journey and report the percentage lift separately from campaign results. It gives you two distinct, credible proof points instead of one.

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  • Vendor Iterable
  • Customer GreenFi
  • Industry Fintech / Payments
  • Trigger Manual send-time testing could not personalize at scale across hundreds of thousands of users
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page