Your Attribution Is Lying to You: A Practical Guide to Measuring What Works

Last-click attribution credits whatever touchpoint happened to be last — usually branded search or direct, channels that harvest demand rather than create it. Meanwhile the podcast ad, the LinkedIn post, or the recommendation in a Slack community that actually started the journey gets zero credit.

Platform-reported conversions have the opposite bias: every platform claims credit for conversions it merely witnessed. Add up Meta's, Google's, and TikTok's reported conversions and you'll often exceed your actual sales by 40% or more.

Triangulate instead of trusting any single source. Blend three lenses: platform data for tactical optimisation (which creative, which audience), your own first-party analytics for funnel behaviour, and top-level efficiency metrics — like marketing efficiency ratio (total revenue over total marketing spend) — for budget decisions.

Run incrementality tests where the stakes justify it. Pausing a channel in matched geographic regions for a few weeks tells you more truth about its real contribution than a year of attribution reports.

And ask customers. A simple 'how did you first hear about us?' field, honestly analysed, routinely reveals channels your analytics never saw — dark social, word of mouth, communities.

Perfect attribution is gone and it isn't coming back. The goal is decision-grade confidence: knowing which channels to fund, which to fix, and which to kill. Triangulated measurement gets you there. False precision from a single dashboard doesn't.