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Question

Any evidence through A/B etc of Pop up versus No Pop Up in driving prospect data?


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Hi

If one of your goals in order to drive return visitors to the site is to gain  prospective customer data from your website e.g. email/sms, is there any evidence from A/B testing or any other evidence based methods using

  1. Pop Up with an embedded newsletter form (or whatever you decided to call it)

  1. Just an embedded newsletter form

That A delivers more than B or vice versa or either approach delivers the same result 

Personally, I feel the triggered pop based on a certain threshold of engagement to the site being delivered is the most effective means - but do not have any evidence to substantiate the thought.

thanks,

J

 

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3 replies

TJ Mapes
Problem Solver I
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  • 7 replies
  • March 5, 2025

Hey there! I can’t cite any sources but would recommend you test them yourself since every site and business and customer base is different.

I also think each may serve a different purpose. The popup interstitial is rooted more on impulse (in the moment) and an embedded form is typically a long-term staple capture activation on your site.

Again, I’d test both, see what you find out and then come update us!


hani
Problem Solver I
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  • 2025 Champion
  • 14 replies
  • March 5, 2025

In my experience, a pop up allows you to serve the form when you think it’s got the highest probability to capture the customers data. To find when this probability is the highest you will have to do some testing on your own site, every audience and product is different.

I would encourage you to test multiple timings, designs, and data fields depending on the persona you’re trying to capture.


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A/B testing generally shows that pop-ups with embedded forms tend to capture more emails than static embedded forms alone, especially when triggered based on engagement (e.g., time on page, scroll depth, or exit intent). However, pop-ups can also negatively impact user experience if too intrusive. The effectiveness depends on timing, design, and audience behavior. If possible, running your own A/B test would provide the best data for your specific audience.