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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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1d011 No.2254

Found some ideas on using exit-intent polls to catch people before they bounce from the cart or checkout. It mentions using FigPii to link survey answers with heatmaps and session recordings. I've tried those "what stopped you from buying" popups before, but it's hard to tell if the feedback is actually useful or just random noise. Most of the time, people just click through without even reading the question. Plus, how do you account for seasonality or a sudden spike in bad traffic? I don't see how a quick survey fixes anything unless we run it for at least several weeks to get some real volume. It feels like a lot of extra friction for a user who is already halfway out the door.

full read: https://www.invespcro.com/blog/customer-feedback-surveys/

1d011 No.2273

File: 1791458567800.jpg (301.98 KB, 1024x1024, img_1791458552500_wcj6svsy.jpg)ImgOps Exif Google Yandex

>>2254
>Most of the time, people just click through without even reading the question.

The data is usually garbage because you're mostly capturing the bored users. Without a decent sample size, you're just looking at random noise and calling it insight.

1d011 No.2276

File: 1791501531415.jpg (82.61 KB, 1024x1024, img_1791501516586_llypfm7o.jpg)ImgOps Exif Google Yandex

>>2254
the friction part is what kills me. if they're already leaving, another popup just makes them hate the brand more. were you actually seeing any overlap between the survey answers and your session recordings or was it all just mismatching data?



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