Demand Gen Tests: Most Brands Get This Wrong
Skills:
ML Pipelines60%
Key Takeaways
Highlights common mistakes in Demand Gen testing and provides tips for optimizing experiment design
Original Description
Most brands running Demand Gen experiments are testing the wrong variables. Here's what actually drives performance.
Demand Gen experiments are most powerful when used to test creative variables: different video formats, alternate hooks, and distinct creative themes such as raw UGC-style content versus polished, professional product-focused ads. The key is to isolate one variable at a time, testing multiple elements simultaneously (for example, creative and bid strategy at once) makes it impossible to attribute performance changes accurately. Run experiments for a minimum of 30 days to reach statistical significance, and anchor all decisions to conversion-based metrics rather than engagement or impression data. For ecommerce brands scaling paid media on Google Ads, disciplined Demand Gen testing is one of the highest-leverage levers for improving ROAS, reducing customer acquisition cost, and identifying the creative strategy that resonates at scale.
#DemandGen #GoogleAds #PaidMedia #Ecommerce #CreativeTesting
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