Marketing
Consent Mode v2 and TCF 2.2: How We Manage Modeling Loss
Technical guide explaining the tradeoff between GDPR-compliant measurement and signal loss through real scenarios. The engineering reality of consent modeling.
marketing
Performance marketing, strategy and growth.
26 posts
Marketing
Technical guide explaining the tradeoff between GDPR-compliant measurement and signal loss through real scenarios. The engineering reality of consent modeling.
Marketing
Build creative testing architecture for Performance Max and Advantage+ that feeds correct signals to AI: dimension-based variation, creative fatigue rotation, and incrementality validation.
Marketing
Robyn, Meta Lift, geo experiments — which tool for which question? New layers of marketing impact measurement in the post-cookie era.
Marketing
ATT, SKAdNetwork 4, and modeled conversions reshape mobile performance marketing. How to architect measurement in the post-lookback maturity phase.
Marketing
Skip the waiting period of frequentist tests. Use sequential testing, posterior probability, and dynamic sample sizing to accelerate A/B tests by 3x.
Marketing
Post-iOS privacy changes: implement Meta CAPI and sGTM architecture with event match quality, deduplication, and signal strategies to recover attribution signal.
Marketing
How signal architecture, server-side measurement, and engineering discipline are transforming performance marketing in the post-cookie era.
Marketing
Unite user journeys with identity graphs. Map lifecycle events and use hold-out groups to measure each channel's true contribution.
Marketing
Navigate Google's consent modeling architecture and TCF 2.2 integration to minimize GDPR-compliant measurement loss with real-world implementation scenarios.
Marketing
The creative variation volume, test velocity, and signal density architecture required for algorithm learning in Performance Max and Advantage+ campaigns.
Marketing
ATT, SKAdNetwork 4, modeled conversions: How mobile attribution architecture evolved post-iOS 17, which signal sources are reliable, why incrementality testing became mandatory?
Marketing
Learn sequential decision-making with Bayesian methods instead of frequentist fixed sample requirements. Speed up testing cycles and make data-driven decisions faster.
Marketing
GDPR compliance + measurement loss tradeoff guide using Google Consent Mode v2 and TCF 2.2. Modeling accuracy, signal gaps, and practical solutions.
Marketing
Creative testing architecture for Performance Max and Advantage+. Algorithm feeding rhythm, variation taxonomy, and cross-channel creative data infrastructure.
Marketing
Robyn, Meta Lift, and geo experiments — which method works when? A technical guide to rebuilding attribution in the post-cookie era.
Marketing
SKAdNetwork 4, modeled conversions, and post-install lookback windows. Practical measurement architecture for iOS marketing in 2026.
Marketing
Replace rigid frequentist sample size rules with Bayesian sequential testing. Update posterior distributions in real time, make confident stopping decisions earlier.
Marketing
Identity graph, lifecycle event mapping, and hold-out groups are now essential for measuring channel contribution. How to architect orchestration in the cookie-less era?
Marketing
Engineering approach to improving modeled conversion reliability in GDPR-compliant consent architecture — reducing legal risk without signal loss.
ppc
How to architect creative variation for Performance Max and Advantage+ campaigns. Practical framework from 400+ tested creatives.
ppc
Robyn, Meta Lift, geo experiments — which method, when? A practical decision tree for post-cookie attribution.
Marketing
Rebuilding iOS attribution with SKAdNetwork 4, modeled conversions, and incrementality tests: practical strategy for post-lookback maturity era.
Marketing
Escape the fixed sample size trap of frequentist tests. Bayesian sequential monitoring and early stopping compress test cycles by 40-60% without sacrificing statistical rigor.
Marketing
Creative testing architecture in Performance Max and Advantage+ campaigns: generating signals for algorithms, building variation systems, scaling winners.
Marketing
Break free from frequentist test constraints. Sequential testing logic, dynamic sample sizing, and Bayesian A/B testing enable performance marketing decisions in days, not weeks.
Marketing
Complete guide to sGTM + Conversion API architecture, event match quality optimization, deduplication strategies, and first-party data pipelines for post-iOS 17 attribution.