Methodology posts on prospect scoring, deliverability lessons, and the occasional teardown of why a campaign worked or didn't.
A 3.6% reply rate vs the industry's typical 0.9%, and what specifically about per-prospect generation drives the gap.
From product catalog depth to checkout pixel presence, the signals we feed our scoring model and which ones turned out to be noise.
Llama-3-70B on g5.12xlarge vs Bedrock pay-per-use. Why managed inference wins until you hit a very specific scale.
Google's bulk-sender rules, Microsoft's tenant scoring shifts, and the warmup pattern we use to keep new sending domains above 99% inbox placement.