This page compiles published data on AI in email marketing, drawing on 2026 research from Knak, ALM Corp, Digital Applied, and SQ Magazine, with platform figures from Litmus, Klaviyo, and HubSpot.
The AI Behavior Index is the research arm of OneChat AI, an integrated multi-model AI platform. We compile and analyze data from primary research sources to make AI adoption and market trends more accessible to journalists, researchers, and decision-makers.
Why open-rate lift figures range so widely (21% to 95%): the lift depends heavily on the baseline. Brands with already-optimized subject lines see smaller gains (~21–35%); brands moving from generic subject lines see much larger ones (up to ~95%). We report the typical average (~21–26%) and note the wider baseline-dependent range. Many figures are vendor case studies and carry selection bias toward successful deployments.
Methodology notes: each chart cites its source. Use-case percentages are multiple-select and don’t sum to 100%. The revenue and open-rate lifts are largely self-reported or vendor-sourced — treat as directional, not independently audited. Crucially, open-rate-based metrics are increasingly unreliable post-Apple Mail Privacy Protection, which auto-loads tracking pixels for ~50% of recipients; we flag this on the relevant chart.
Sources used on this page:
- Knak — Email Creation & AI Statistics 2026
- ALM Corp — AI in Email Marketing 2026 (Litmus/Klaviyo/HubSpot baseline)
- Digital Applied — Email Marketing Statistics 2026
- SQ Magazine — Personalized Email Marketing Statistics 2026
- Digital Applied — Email AI Personalization Revenue Guide 2026
Corrections or suggestions: research@aibehaviorindex.org