What is LinkedIn's recommendation on combining experimentation tests?

LinkedIn recommends conducting one type of experimentation test at a time to ensure accurate and attributable results. Running multiple tests simultaneously can confound your data, making it difficult to determine which specific change led to observed performance shifts. For example, if you're A/B testing ad creatives while also running a campaign with different bid strategies, you won't be able to definitively say whether creative changes or bid strategy adjustments were responsible for improved metrics. While A/B testing is a common and valuable method, it's not always the first or only test to run; the specific test depends on your objective.