Predictive Send Windows
Use historical engagement to forecast when each shopper is most receptive across channels. Combine device activity, session recency, and prior open times to shape windows, not rigid clocks. Refresh models weekly to avoid drift. Always respect caps and quiet hours first. Validate with incremental lift tests and real holdouts. Explain the benefit succinctly in settings, earning permission to personalize timing in ways that feel helpful, never invasive.