Ad Platform Split Testing: What the Auction Breaks
Ad platform split testing: cookie or search split, shared budget, optimized delivery, and how to read the result without fooling yourself.
Complete, honest guides on CRO, A/B testing and experimentation: statistics, sample size, test design and what to do with the results. No fluff. (page 2 of 24)
Ad platform split testing: cookie or search split, shared budget, optimized delivery, and how to read the result without fooling yourself.
Message match: why comparing landing pages by ad misleads, how to design the right factorial test, and what to measure after the click.
Brand lift study: how the survey experiment works, the biases it carries, and why the industry reports the result at 80 percent confidence.
Modeled conversions dilute A/B test results: why a model blind to your variant shrinks measured lift, how much power it costs, and what to measure instead.
Charm pricing A/B testing: what field evidence shows about 9 endings, how to separate the digit effect from the discount effect, and which metric to use.
Landing page video A/B testing: what the 80 percent claim hides, the cost in LCP, what autoplay allows, and a worked three-arm example with real numbers.
Long copy vs short copy in A/B testing: why the question is badly framed, how to isolate length from everything else, and a worked example read by segment.
Incrementality testing with holdouts: measure the true lift of paid ads, iROAS and cost per incremental conversion instead of trusting attributed ROAS.
Trust badges A/B testing: where to place them in checkout and SaaS, what to measure, why results vary, and how not to credit a famous logo for a win.