Question: After five days of a store listing experiment, one of your variants outperforms the current version. Why should you continue to run your experiment for at least seven days even though you think that you have enough data now?
- You should run as many variants as possible before you make a decision.
- You must run the experiment for at least seven days to see a recommendation in the results column.
- You need to see an accurate reflection of weekday and weekend behavior.
- You must run the experiment for at least 7 days to see a recommendation in the metrics-used column.
Explanation
A store listing experiment should run long enough to capture normal traffic variation across the week. User behavior can differ between weekdays and weekends, so stopping after only a few days can produce misleading results. Google Play recommends running experiments for at least seven days before evaluating the outcome. This gives the store listing experiment more reliable data before applying a winning variant.
Why the other options are incorrect
As many variants as possible More variants do not fix incomplete timing and can reduce result clarity.
Results column recommendation The reason for seven days is traffic-pattern accuracy, not simply unlocking a recommendation field.
Metrics-used column recommendation Google Play does not define the seven-day best practice around a metrics-used column.
Source for verification
https://support.google.com/googleplay/android-developer/answer/9859152
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