creatures. Net ix found that the biggest in uence for a user to pick a movie were the thumbnails. 🎬 More personalization on the visuals equals highest chances to watch any movie or series (even if it's not the best for you)
I think this way can make it easier for our users to choose a campaign to donate based on a personalized thumbnail. 🤔 To validate my hyphothesis let's run A/B Testing.
testing is a method of comparing two versions of a webpage against each other to determine which one performs better. A/B Testing is an experiment for comparing two solutions. Its main purpose is to con rm a hypothesis. A/B testing is Quantitative Research, means the more users test it, the better results you get!
Green Button V2 5.57% Baseline Baseline 77% 10.00% 12% -13.93% 21% 75% 4% 124 / 1,926 109 / 1,539 104 / 1,877 Variations Conversion Rate Improvement Probability to beat Baseline Probability to be Best Conversions / Visitors Control C 6.47% Blue Button V1 7.12% Green Button V2 5.57% Baseline Baseline 77% 10.00% 12% -13.93% 21% 75% 4% 124 / 1,926 109 / 1,539 104 / 1,877 Variations Conversion Rate Improvement Probability to beat Baseline Probability to be Best Conversions / Visitors
the hypothesis, define the page URLs, and configure the visitor segments Creating variations using Visual Editor / Code Adding conversion goals Goal conversion when users click on a link, visit pages, submit forms and so on 04 Finalizing your test
non-disurbing image will address more attention & conversion Non-disturbing image Disturbing image Urgent Butuh Operasi Karena Tak Bisa BAB https://kitabisa.com/campaign/bantuoperasianus C V1