Adidas asked us to test whether automated Google Text Ads could perform as well as (or better than) manually built campaigns.

Adidas is one of the largest sports brands in the world and sells products in hundreds of markets worldwide. With dozens of advertising accounts in Europe and thousands of campaigns, scalability is essential to their digital strategy.
adidas's European marketing team managed more than 40 Google Ads accounts in different languages. Campaigns, ad groups and keywords were largely built by hand, while product stock was constantly changing. The challenge: automate without sacrificing performance.
We chose a test approach: a clear A/B split between manual campaigns and feed-driven Google Text Ads. For this, we used DataFeedWatch to dynamically generate ads based on the live product feed. What made this approach unique was the use of regression analysis via SA360 to genuinely isolate the effect on ROAS and revenue.

Methodology:


DGTLbase helped us combine scalable automation with performance marketing – without sacrificing creativity or control.
We connected the product feed directly to the Google Ads account with smart rules for ad copy and targeting. Thanks to this automation, we were able to:
We also carried out statistical analyses (95% confidence) to measure exactly what the new campaigns contributed.

+13% extra revenue during the test period
€18% extra ROAS compared with manual campaigns
Less time spent on campaign management
Greater scalability across multiple countries
– No out-of-stock products
– Unique keywords and text ads with their own ad groups
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