Autoplaying Hero Video vs Static Image A/B Test Idea

Three signals make the case here: repeated support questions about the product's basic workings, survey responses saying its purpose is unclear, and sessions that end right after the hero area. When the video does its job, visitors who get it keep moving down the page and complete the defined action more often. If the page is already slow, fix speed first; load the video outside the critical loading path and use a player visitors can pause and dismiss.

Primary action completion rate

Compare completion of the target action to see whether video changes behavior.

Also track

• Video engagementMeasure starts and meaningful watch time separately; autoplay does not demonstrate interest.
• Page load timeTrack the video's impact on page load time.
• Page exit rateCompare exits among visitors assigned to the hero video.

• MediaReplace the static hero image with one predefined silent promotional video.
• Keep constantKeep headline, CTA, hero size and surrounding content unchanged.
• PlaybackUse the same playback behavior in both arms. If autoplay is unavailable or reduced motion is enabled, show a static alternative; provide captions and a text equivalent.
• EngagementUse watch behavior to explain the conversion result, not to choose a winner.
• Separate testTo compare autoplay with click-to-play, use the same video in both arms.

1. 1More video starts or longer watch time are not a win, because autoplay does not show interest. Judge the arms by primary action completion rate; if the action does not change, more views are no reason to ship. Also check whether the page exit rate rises in the video arm.
2. 2The result measures this video and autoplay together; it does not isolate the effect of how the video plays. If page load time grew in the video arm, that cost is part of the variant's result, and separating the media from speed takes a different design.
3. 3If no clear gap appears between arms, make sure the measurement is sound first, because a heavy video can delay the tracking code in some sessions and lose visitors from one arm. Check that visitor counts per arm match the planned split (sample ratio mismatch). If the split holds, compare primary action completion rates with the A/B test significance calculator and report the difference with its p-value.