
The myth of cold email A/B testing
Most cold email A/B test lifts are sample-size theater. The timing variable swamps copy variance. Here's what's actually testable in 2026.

Most cold email A/B test lifts are sample-size theater. The timing variable swamps copy variance. Here's what's actually testable in 2026.

Cold email didn't die in 2019. It died in February 2024 when Google and Yahoo rewrote sender rules. Here's what survived, the reply-rate math you can plan against, and where the trigger has to come from.

AI reply generators face a dilemma: fast and cheap is templated-with-extra-steps, slow and personalized is barely better. The third mode no one is building.

HN's Who's Hiring thread is a buying-signal goldmine. Full workflow: scrape, parse stack, identify fit, send a 3-line cold email referencing the JD.

Reddit username to verified work email in 90 seconds. The exact enrichment pipeline, the realistic hit rate, and the fallback branch when there's no LinkedIn.

Contextual cold message playbook: how to reference a specific Reddit post in outbound without being creepy, with two annotated samples and a four-part anatomy.

The reply rate math broken down input by input: 500 templated cold emails versus 20 contextual messages. Per-message ROI is 60x. Here's the calculation.

Volume outbound is dead: reply ceilings on templated blast collapsed past 0.5%. The math, the inbox-filter cause, and what intent-based replaces it with.