Segment-tailored pop-in for lingering visitors: +55.18% kit submits
Commentary byLiftArchiveOur analysis, not theirsA pop-in tailored to emotional segments, shown to visitors who lingered without acting, raised kit submits by 55.18% among the targeted segments.
A North American health and life insurance company ran this test using AB Tasty's EmotionsAI.
It was published as an AB Tasty case study that now sits on Wingify's site.
- Kit submits: +55.18% among the targeted segments.
- The case study does not say what the "kit" is, so the exact action being counted is unclear.
- No sample size, test length or confidence level was published.
The change
Lingering visitors get a pop-in tailored to their emotional segment.
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
Visitors who stayed on the page without taking the next step saw no prompt.
Variant
Those visitors saw a pop-in whose message was tailored to their emotional segment, such as safety, comfort, community, immediacy or notoriety.
Why it likely won
Our reading of the result, not the practitioner's claim.
- Visitors who linger but don't act are often interested but unsure. A timely prompt gives them a clear next step.
- Tailoring the message to what each segment cares about likely made the prompt feel more relevant than a generic one.
- Only lingering visitors saw it, so people already acting were not interrupted.
Caveats: Measured only among targeted segments, and the "kit" is not defined. No sample size, duration or significance was shared, and the case study is vendor-published.
Who ran it
AB Tasty ran this test for a North American health and life insurance company and published the results (AB Tasty / Wingify case study). The numbers are theirs; the summary and commentary on this page are ours.
Read the original case study on AB Tasty →
How to run this test on your site
- Hypothesis
- If we show visitors who linger without acting a prompt that speaks to what they care about, then more will take the next step because it addresses their main hesitation.
- Primary metric
- Submissions of the offer in the prompt (here, kit submits)
- Guardrails
- Main application or lead submissions
- Pop-in close rate
- Bounce rate
- Who should test it
- Lead-gen businesses with enough traffic to split visitors into segments and a soft offer to promote, like an info kit or guide. Without segmentation, test one strong message first. It won't help if few visitors linger.
Questions
What is emotional segmentation?
It groups visitors by what seems to drive them, such as a need for safety or for speed, based on how they behave.
Messages can then be matched to each group.
Is a tailored pop-in better than a generic one?
This test compared a tailored pop-in with no pop-in at all, so it doesn't prove tailoring beats a generic message. Test both if you want to know.
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