Marketing measurement, attribution, dashboards, and data-driven decisions.
10 articles
Most marketing dashboards report activity instead of guiding decisions. Learn how to build KPI dashboards for acquisition, retention, attribution, and executive reporting.
As cookies disappear and platform reporting becomes less reliable, Marketing Mix Modeling (MMM) is making a comeback. Here's how to build a modern MMM practice, what it can and can't tell you, and how to use it alongside incrementality testing.
Most marketing teams run random tests. High-performing teams run systematic experiments. Here's the complete framework for building a testing culture that compounds over time—with methodology, velocity metrics, and prioritization models that actually work.
CRO is the highest-leverage growth tactic most companies ignore. Here's the systematic framework we use to identify bottlenecks, prioritize tests, and ship winning experiments—without needing a data science team.
Attribution is broken. Third-party cookies are dead. But incrementality testing gives you definitive proof of what drives revenue—no tracking pixels required. Here's how to run tests that actually matter.
A practical guide to multi-touch attribution: model types, when to use each, and common mistakes that distort budget decisions.
How AI reshapes marketing operations in 2026: creative generation, bidding, segmentation, and reporting with clear guardrails.
CAC is the single most important marketing metric. Learn how to calculate it correctly, benchmark it against industry standards, and optimize it for sustainable growth.
Impressions and clicks don't pay the bills. Here are the 15 metrics that actually predict revenue growth—and how to track them without drowning in data.
Running campaigns across Meta, LinkedIn, Google, TikTok, and more doesn't have to be chaos. Here's a complete framework for building a coordinated, data-driven multi-channel strategy that scales.
We don't just write about AI-powered marketing—we do it every day.