What makes up the ideal creative for your client?
We'll walk you through how you can answer this question using AdWords reporting and the Display Ad Builder, a tool that allows you to quickly and easily customize display ads and to run measurable experiments. Experimentation is not new to advertising, although the theories and ideas that inspired campaigns have evolved over time.
For example, in the early 20th century, the prevailing sentiment in the ad industry was that information made a creative effective. The car ad below sums up the thinking of the time:
National Motor Vehicle, Inc. advertisement (1907) retrieved on 21.1.2010 from http://commons.wikimedia.org/wiki/File:National-advertisement_1907.jpg
Theories eventually emerged suggesting that consumers weren't always need-oriented, but advertisers were baffled by how to measure seemingly subjective behavior. Mid century a study was released that put data to consumer responses. It showed that three factors - the size of the ad, the size of the illustration and the numbers of colors - together could help explain some of the readership difference between a magazine's ads.
Today, you can find out the the factors that trigger the strongest response by using the data in Ad Performance Reports in AdWords, which provide relevant statistics for ad variations, such as text ads, image ads, video ads, and local business ads, and run experiments with Display Ad Builder. Here are two creatives developed with Display Ad Builder for a hypothetical online travel company:
When creating the ads, populate the "Ad Name" field in Display Ad Builder with the ad's elements. We'll call the first "day_scene_cta" and the second "night_people_question." Launch the ads on even rotation to ensure a good sample. Then you can construct a chart like the one below from your Ad Performance Report by adding up the clicks and impressions for each ad component:
Sample data set from internal account independent of example creatives.
In this example, the effectiveness measure is clickthrough rate (CTR), but this can be substituted for conversion rate or cost-per-acquisition (CPA). The chart shows the elements of the ad that had the greatest impact on CTR, benchmarked against the performance of the whole ad group.
You can tweak the reporting to show the impact of relationships as well. Do people prefer images of scenery or people at night? With a well-designed ad experiment, you can use basic data-mining principles to find these results. However you choose to experiment, continue to measure your results so you can find the best creative.
