Engineering & Strategy
Deep-dives on privacy-first targeting, post-IDFA mobile advertising, real-time CDP architecture, and on-device ML — from the team building it.
On-Device ML vs Server-Side Targeting: Latency, Privacy, and Performance Compared
Server-side targeting has a privacy problem and a latency problem. On-device ML solves both — but how does it actually work? A technical comparison of architectures, latency profiles, and conversion outcomes.
GDPR-Compliant Behavioral Targeting: A Technical Guide for 2025
Most behavioral targeting architectures are structurally incompatible with GDPR. This guide explains why — and what a compliance-native targeting stack actually looks like technically.
How to Unify Customer Data from Multiple Sources Without a Data Warehouse
Traditional CDPs unify data by moving it to a central warehouse — introducing hours of latency and significant compliance risk. Here's a stream-first alternative that gives you unified behavioral profiles in under 500ms.
Post-IDFA Mobile Advertising in 2025: What Still Works (And What Doesn't)
Apple's ATT framework wiped out 80-95% of mobile targeting accuracy overnight. Two years later, most teams are still patching holes. Here's what the architecture of effective post-IDFA advertising actually looks like in 2025.
How to Recover Cart Abandonment in Real-Time: Why Batch CDPs Are Costing You Revenue
Cart abandonment costs e-commerce businesses $18 billion annually. The difference between recovering a sale and losing it permanently often comes down to a single variable: how quickly your system responds. We break down the math — and the architecture.