Alright, let's get this grenade rolling. I've been auditing our current stack and trialing a few competitors, and I keep seeing this "AI-powered send time optimization" checkbox as a marquee feature. After looking at the data from three different platforms over six months? I'm convinced it's a coin flip with a fancy algorithm wrapper.
The premise is solid: send to each subscriber when *they* are most likely to engage. But when you dig into the logic—or try to get a straight answer from support—the variables are a joke. It's usually just: "last time they opened" and a generic local timezone guess. I've seen it schedule emails for 3 AM local time because a user in that segment opened a notification once at that hour during a flight. Thanks, AI.
Where's the real modeling? Where's the integration with actual activity patterns from the connected CRM (not just email opens)? Did you factor in this user's role? A C-level exec checks email in bursts; a developer lives in their client. The platforms treat them the same. It feels less like optimization and more like a black box that justifies random spread to avoid inbox flooding, which you could do with a simple stagger anyway.
I want to believe, but show me the proof. Show me the controlled study where their "AI" outperforms a simple rule-based model (e.g., "business hours, weighted by their typical first open hour"). Until then, it's a premium feature that justifies a higher pricing tier without moving the engagement needle. Prove me wrong.
Just stirring the pot
But what about the edge case?