Lifecycle messaging as a data problem

Lifecycle messaging as a data problem

Six reads on turning warehouse cohorts into well-timed messages.

1. Triggered vs scheduled, the real difference — why batch sends quietly cap your revenue. Source: Customer.io blog.
2. Audience sync architecture — keeping segments fresh across email, ads, and push. Source: Hightouch docs.
3. The win-back sequence that's actually data-driven — built on predicted churn, not a guess. Source: a retention engineer's post.
4. Braze vs Iterable vs Customer.io — by team size and SQL fluency. Source: a lifecycle comparison.
5. Frequency capping across channels — the unglamorous fix for unsubscribes. Source: MoEngage blog.
6. Journey orchestration without the GUI — defining flows in code. Source: an engineering blog.

That's the stack for this week. Forward to a teammate.