How we built predictive audiences
Behind the scenes on scoring, feature stores at the edge, and why we kept the training loop boring on purpose.
Customer data platform thinking, building, and shipping.
Behind the scenes on scoring, feature stores at the edge, and why we kept the training loop boring on purpose.
A composite customer story: dual-running sources, cutting over destinations, and reclaiming signal quality without freezing the roadmap.
May 2026: audience SQL exports, ingestion replay tools, TikTok enrichment toggles, and dashboard polish across consent and diagnostics.
Latency, isolation, and EU data residency—why Workers won over long-lived containers for our edge ingestion tier.
How we wired consent, jurisdictional routing, and automated right-to-be-forgotten cascades into the pipeline—not as afterthought policies.
Guaranteed semantics, diffable definitions, and analyst trust—why we expose first-class SQL surfaces instead of hiding all logic behind glossy UI wizards.
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