Having A Poor Signal Results In Poor Measurement

The attribution waterfall prioritizes the click with the highest fidelity, that is nearest the time of install.
  • Subscribe to the Global Fraud Blacklist: If we see the traffic violate thresholds across multiple accounts, we add the device, sub-publisher (site) or IP address to the Blacklist, and we won’t attribute from those sources.
  • Use the Fraud Console to curate your own Blacklist. You may observe bad behavior specifically against your apps. Blacklist sub-publishers , IPs, or device IDs directly from the console.
  • Employ frequency capping using Traffic Verifier: Cap impressions or clicks globally, by network or by site.
  • Establish thresholds across our anti-fraud algorithms to automatically block sources that violate your custom thresholds. Typically for this exercise, you’d work with our Client Insights team to analyze recent trends and identify appropriate thresholds. This will assist you in reviewing data flagged by the console. By having baseline measurements, you can compare when flagged data is deemed unreasonable.

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Former Head of Retail Analytics at Oracle Data Cloud. Currently Head of Client Analytics at Kochava. Your data speaks volumes if you know how to listen.

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Grant Simmons

Grant Simmons

Former Head of Retail Analytics at Oracle Data Cloud. Currently Head of Client Analytics at Kochava. Your data speaks volumes if you know how to listen.

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