Insights on email deliverability, engagement analytics, and industry best practices.
The first hint that something was off didn't come from a dashboard I was staring at. It came from the system quietly flagging an issue on its own. No panic, no "everything is on fire" messaging — just a restrained observation.
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Dashboards show you numbers. An AEIP thinks about what they mean. We asked one question and watched the platform investi...
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From Roman carrier pigeons to Victorian pneumatic mail to autonomous AI—humans have always faced the same messaging prob...
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We analyzed 50 million email events to understand Gmail deferral patterns. What we found challenges common assumptions a...
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A narrative case study walking through a real detection: from normal Tuesday morning to crisis averted. How autonomous A...
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Why threshold-based monitoring is failing email teams—and what comes next. A look at how autonomous AI investigation cha...
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Why did we build agentic AI instead of another dashboard? What does it mean for AI to "think" like a consultant? The Eng...
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Every ESP calculates metrics differently. "Delivered" can mean 5 different things. After 27 years of email consulting, h...
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Why do enterprises use 3-7 ESPs? It's not incompetence—it's reality. Here's why "just consolidate" is bad advice and wha...
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Apple Mail Privacy Protection broke open rates in 2021, yet most platforms still report them as gospel. Here's why 40% o...
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A technical deep dive into the email journey: from API call to inbox in under a second. What can go wrong at each stage,...
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