QUESTION

In a data-driven attribution model, how can an advertiser understand the impact of any given keyword in a conversion path?

Take two paths that look exactly the same apart from one keyword; compare conversion rates to determine the uplift from that one keyword

Take an AdWords campaign with at least 30 conversions in two weeks; remove the keyword in question and re-run the campaign for two weeks

Take all the keywords in an AdWords account and rank them by click volume; use static rules to assign credits to touchpoints

Take one individual click path; look at the conversion rate of the last clicked keyword to determine how it performs for any given auction

The correct answer is:

Take two paths that look exactly the same apart from one keyword; compare conversion rates to determine the uplift from that one keyword

In a data-driven attribution model, how can an advertiser understand the impact of any given keyword in a conversion path?
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In a data-driven attribution model, how can an advertiser understand the impact of any given keyword in a conversion path?