Overview
Send time optimization is the most context-dependent email variable. The optimal send time for a consumer list is different from a B2B list, different for a promotion than a newsletter, different for a Monday than a Thursday. Most send time tests produce a local optimum that gets generalized into a rule ("always send Tuesday at 10am") that gradually degrades as audience behavior shifts.
The Send Time Optimization A/B Test designs a test that produces a contextually valid result — for this list, this campaign type, this audience's daily rhythm — with a protocol for when to retest as conditions change.
What you get: - Audience timing model: the specific daily and weekly behavior patterns that should influence send time for this list - 3 time slots with behavioral rationale (not generic "best time" industry statistics) - Test design that controls for day-of-week confounding - Result interpretation calibrated to the specific metric that matters for this campaign type - Seasonal decay model: when this result will need to be updated - Application protocol: how to apply the winning send time across the campaign type
Built for: email marketers, CRM teams, and growth managers wanting timing insights that last more than one campaign cycle.