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Data-driven attribution works in which of the following ways?

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  • By prioritizing specific touchpoints and applying static logic to assign a constant value to a touchpoint along a conversion path.
  • By using country- or region-specific data to credit several consistent ad touchpoints across the Search network, specifically.
  • By leveraging an account’s historical data to credit the most impactful ad touchpoints across Search, YouTube, and Display.
  • By crediting on an arbitrary basis and potentially impacting optimizations, particularly when leveraging automated bidding data.

The Correct Answer is: By leveraging an account’s historical data to credit the most impactful ad touchpoints across Search, YouTube, and Display.

Explanation: Data-Driven Attribution (DDA) is a powerful tool within Google Ads that uses an account’s historical data to assign credit to impactful ad touchpoints across various platforms like Search, YouTube, and Display. DDA is unique because it uses conversion data to calculate the true contribution of each ad interaction throughout the conversion path. By contrasting the paths of customers who convert with those who don’t, DDA identifies patterns in ad interactions leading to conversions and assigns more credit to these valuable interactions.

Reference: https://school4seo.com/google-ads-tips-and-tricks/enhancing-conversion-tracking-understanding-and-using-attribution-models-in-google-ads/

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