Beyond the Data Label: The Next Phase of Data Assessment

This past summer, the IAB Tech Lab launched a much-needed transparency initiative in the form of its Data Transparency Standard, establishing baseline statistics on the objective attributes of a given data segment, such as refresh cadence, ID types, and segmentation criteria. The Data Label should be a big relief to data buyers, including agencies and advertisers, that are trying to wrap their heads around audiences, but it’s still only the starting point when it comes to assessing digital audiences. 

For as much as the Data Label injects transparency into audience construction, it only addresses objective attributes, and not the qualitative aspects of the data segment. To get the most value out of their data investments, advertisers and agencies need to go further and develop their own standards for evaluating data, especially when it comes to quality.

How the Newest 5 Features from Google will Change the Role of UA Managers

Facebook and Google still haven’t figured out how to automate creative. They can’t really even automate creative testing yet. So, take all the time you used to spend with bids and budgets and media buying and shift it to creative. Odds are, you aren’t spending even 2-3 hours a week monitoring and analyzing your competitors’ ads. Shift from bid edits and go do that. Or even better, spend 4-8 hours a week monitoring and analyzing competitor’s ads, and even ads from outside your industry. This research can result in blockbuster new creative concepts — the type of 100x ads that rocket ROAS.