Which statement accurately describes last-click attribution versus data-driven attribution?

Which statement accurately describes last-click attribution versus data-driven attribution?

• A. Data-driven attribution uses machine learning to allocate credit across touchpoints.
• B. Data-driven attribution ignores the final click and only uses the first interaction.
• C. Last-click attribution distributes credit across all touchpoints.
• D. Attribution models do not affect bidding optimization.

Answer: (C)

Attribution models decide how credit for a conversion is assigned across the different interactions a user has with your ads. Data-driven attribution uses machine learning to analyze conversion data and distribute credit across multiple touchpoints based on their observed contribution to the sale. Last-click attribution, on the other hand, gives all credit to the final interaction before the conversion, ignoring earlier touches in terms of credit. So, the statement that data-driven attribution uses ML to allocate credit across touchpoints is correct, because it reflects the multi-touch, evidence-based approach. It’s not true that data-driven ignores the final click, since it weighs all relevant interactions rather than single out one. Likewise, last-click does not distribute credit across all touchpoints; it credits only the last one. And attribution models do influence bidding optimization, since the value assigned to each touchpoint affects which clicks and keywords are prioritized.

Attribution models decide how credit for a conversion is assigned across the different interactions a user has with your ads. Data-driven attribution uses machine learning to analyze conversion data and distribute credit across multiple touchpoints based on their observed contribution to the sale. Last-click attribution, on the other hand, gives all credit to the final interaction before the conversion, ignoring earlier touches in terms of credit. So, the statement that data-driven attribution uses ML to allocate credit across touchpoints is correct, because it reflects the multi-touch, evidence-based approach. It’s not true that data-driven ignores the final click, since it weighs all relevant interactions rather than single out one. Likewise, last-click does not distribute credit across all touchpoints; it credits only the last one. And attribution models do influence bidding optimization, since the value assigned to each touchpoint affects which clicks and keywords are prioritized.