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The Optimization Overview page shows how your portfolio has performed over time. It helps you understand the impact of your budget decisions and guides you in making data-driven adjustments to improve future results.
Adoption measures how closely you follow the budget allocation recommendations:
  • 100% adoption means you followed the recommendations exactly.
  • 0% adoption means you kept the same budget distribution as before.
  • Negative adoption (down to -100%) means you made changes opposite to the recommendations.
  • The total budget amount does not affect adoption — only the distribution matters.
Prediction Accuracy shows how well the system predicts future campaign performance:
  • 100% accuracy means the predictions were perfect.
  • 0% accuracy means the predictions were completely opposite to reality.
  • The calculation compares the system’s predictions to the best and worst possible scenarios based on actual performance data.
Prediction Accuracy can be low due to:
  1. Insufficient conversions — Very few conversions can make predictions unreliable.
  2. Major external or internal changes — Competitor activities, seasonal changes, or other factors.
  3. Approaching optimal state — When campaigns perform similarly, small changes can have large impacts.
Actual gain can increase with negative adoption when:
  1. Prediction accuracy is low, and not following recommendations leads to better results.
  2. You take higher risks than recommended (for example, increasing a budget by 50% instead of the recommended 15%).
  • Gain/Loss — The actual impact of your budget changes compared to making no changes.
  • Potential Gain — What could have been achieved if you fully followed the recommendations.
  • Missed Opportunity — The difference between your potential gain and actual gain.