quantilope's A/B Pre-Roll Test measures advertisement performance in digital environments by tracking metrics like view-through rates and identifying specific moments when viewers choose to skip ads.
Should I test different video lengths or different creative hooks in an A/B Pre-Roll Test?
It's usually more strategic to keep the length identical—such as two 15-second spots—and vary only the first 3–5 seconds to isolate which "hook" prevents viewers from hitting the skip button.
How do I ensure my A/B Pre-Roll test results are valid and statistically significant?
Most testing tools use a split-audience setup to ensure that unique users only see one version of the ad, preventing bias and ensuring the data reflects true preference.
Does the call-to-action (CTA) need to be identical in both versions of an A/B Test?
Unless the CTA itself is the variable being tested, it should remain consistent so that differences in performance are attributed solely to the visual or narrative content of the ad.
What happens if the results are "flat" with no clear winner?
A neutral result suggests that the variables tested weren't distinct enough, signaling a need to test more polarized creative directions in the next round of testing (A/B Testing is often an iterative process).
Should I segment an A/B test by device type, such as mobile vs. desktop?
Yes, because viewing habits differ wildly by platform; a "mobile-first" edit with larger text may outperform a cinematic edit on phones, even if the content is identical.
