Google Data

The following post originally appeared on the Inside AdWords Blog.
Advertisers have a fundamental need to understand the effectiveness of their advertising. Unfortunately, determining the true impact of advertising on consumer behavior is deceptively difficult. This difficulty in measurement is especially applicable to advertising on non-brand (i.e. generic) search terms, where ROI may be driven indirectly over multiple interactions that include downstream brand search activities. Advertising effectiveness is often estimated using standard tracking processes that rely upon ‘Last Click’ attribution. However, ‘Last Click’ based tracking can significantly underestimate the true value of non-brand search advertising. This fact was recently demonstrated by lastminute.com, a leading travel brand, using a randomized experiment - the most rigorous method of measurement.


lastminute.com recently conducted an online geo-experiment to measure the effectiveness of their non-brand search advertising on Google AdWords.  The study included offline and online conversions.  The analysis used a mathematical model to account for seasonality and city-level differences in sales.  Cities were randomly assigned to either a test or a control group. The test group received non-brand search advertising during the 12 week test period, while the control group did not receive such advertising during the same period. The benefit of this approach is that it allows statements to be made regarding the causal relationship between non-brand search advertising and the volume of conversions - the real impact of the marketing spend.