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/ana/ - Analytics

Data analysis, reporting & performance measurement
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File: 1774358579968.jpg (256.13 KB, 1080x720, img_1774358571241_6aophw8p.jpg)ImgOps Exif Google Yandex

9861f No.1389

running an A/B test on our homepage saw a 15% decrease in conversion rates after switching to new design elements.
Anyone else seen this drop with similar changes?
Thoughts? What did you do differently?
>Was it the color scheme or maybe too many CTAs drowning out key messages instead of guiding users better through subtle animations and smooth transitions.
Maybe i should revert back temporarily until we can dig deeper into user behavior. Any tips on what to look for next in analytics tools like Google Optimize?

9861f No.1390

File: 1774358840807.jpg (114.43 KB, 1880x1255, img_1774358825725_plbvwnf4.jpg)ImgOps Exif Google Yandex

a/b testing is nuanced, especially when dealing with large datasets and complex conversion funnels ✨

start by defining clear objectives 25% lift in sign-ups vs purchases might be unrealistic for a single test ⚠️

use multivariate tests to explore multiple variables simultaneously but beware of overfitting - ensure enough data points per variant

implement progressive profiling if you're testing demographic segments, it'll help personalize the experience and improve conversion rates ➡♂♀


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