Additional tests with 99% reliability We recently ran tests of icons in iOS.
Usually they are done in two stages, but this case was an exception.
Let's tell you step by step.
1️⃣ We launched a test for 30% of traffic and got a positive result (pic. 1).
2️⃣ We relaunched the test with 50% traffic, but the result was negative. This seemed strange, as the app had more traffic from the brand (pic. 2). So we decided to wait for changes in the meta and test again.
3️⃣ We iterated on the meta change, after which the installations from generic requests increased by a multiple. The graph shows the growth of organic installs (pic. 3).
4️⃣ We ran the same test with 50% traffic again. This time we got the most reliable result (pic. 4).
Conclusion
➡️ always consider other factors, such as traffic sources. And, if necessary, make additional tests. #apple #ios
https://apps.apple.com/us/app/inview-feed-planner-for-insta/id1575507900
#aso #asocase #appstoreoptimization
Usually they are done in two stages, but this case was an exception.
Let's tell you step by step.
1️⃣ We launched a test for 30% of traffic and got a positive result (pic. 1).
2️⃣ We relaunched the test with 50% traffic, but the result was negative. This seemed strange, as the app had more traffic from the brand (pic. 2). So we decided to wait for changes in the meta and test again.
3️⃣ We iterated on the meta change, after which the installations from generic requests increased by a multiple. The graph shows the growth of organic installs (pic. 3).
4️⃣ We ran the same test with 50% traffic again. This time we got the most reliable result (pic. 4).
Conclusion
➡️ always consider other factors, such as traffic sources. And, if necessary, make additional tests. #apple #ios
https://apps.apple.com/us/app/inview-feed-planner-for-insta/id1575507900
#aso #asocase #appstoreoptimization
