The Next Era of Attribution

Predictive, Transparent and Sensible Ad Measurement

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Attribution Revolution

Media attribution has been stuck in a cycle of declining accuracy and increasing complexity. As pixel blocking erodes data quality, traditional models have only grown more convoluted, trying to estimate the true impact of each ad or campaign. It’s time to break free from guesswork and unnecessary complexity—it’s time for an attribution revolution.

The purpose of an attribution model is straightforward: to guide your decisions on where to invest for maximum future returns. Its true value lies in its predictive power. At Edgemesh®, we returned to first principles:

  1. Capture 100% of the data—no pixels required.
  2. Understand how real customer actions—not just clicks—drive revenue.
  3. Recognize that an ad’s value extends beyond realized revenue to include potential revenue (like items left in carts).

This is Edgemesh® Attribution—a model with no settings, no guesswork, and no data loss. Experience unmatched precision with our Markov model, which harnesses complete and accurate data to predict your return on ad spend.

More Predictive, More Accurate

Compared to the market-leading model - Edgemesh® Attribution showed consistent 33.78% better predictive power over a 30 day period. This translates to more precise, actionable insights that empower smarter, more profitable decisions.

  • Dynamic model that is built using your own 1st Party Web Data, and updates regularly
  • Unlimited look-back period to measure true 1st touch, and full customer journey
  • Holistic Ad Performance Measurement that does not overvalue a single touch point

Unlock the full potential of your data with Edgemesh® Attribution and elevate your decision-making to new heights.

See your data like never before

Any dimension, any metric, any segment. Zero Sampling.
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