Why Every Platform Claims Credit for the Same Sale
Marketers running campaigns across search, social and programmatic are familiar with a frustrating pattern: the sum of conversions reported across individual dashboards routinely exceeds total actual sales, because each platform's attribution model is designed to claim credit generously.
Privacy Changes Have Made This Worse
Browser and platform-level privacy changes have further degraded the accuracy of last-click and even many multi-touch attribution models. The result is a measurement environment where platform-reported numbers are directionally useful at best.
What a More Reliable Framework Looks Like
We recommend a layered approach: server-side, first-party tracking as the foundation; incrementality testing to validate true causal impact; and unit-economics-based evaluation that ties spend directly to profitability.
Incrementality Testing Deserves More Attention
Measuring what actually changes when spend is paused or altered in a controlled way remains underused, largely because it requires more coordination than reading a dashboard. For brands spending meaningfully on paid media, it's one of the highest-value investments in measurement accuracy available.
The Practical Takeaway
Treat every platform's attribution numbers as directional, not definitive. Build a first-party measurement foundation, validate channel effectiveness periodically, and make budget decisions based on profitability.