- By letting marketers know whether or not a trial campaign drove user action that wouldn’t have otherwise taken place, it gives marketers a fuller understanding of user behavior.
- By running individual campaigns one-after-another, an A/B test gives room for enough of a ramp-down period between tests that results can be decluttered.
- By testing more than one variable at a time, an A/B test provides advertisers with information they can use to quickly adjust their campaigns.
- By running simultaneous to an original campaign, a trial campaign controls for external factors, like seasonality, that might otherwise introduce bias.
The correct answer is: By running simultaneous to an original campaign, a trial campaign controls for external factors, like seasonality, that might otherwise introduce bias.
Explanation: Running a true A/B test with experiments is crucial for unbiased and effective campaign performance analysis. By having a trial campaign run concurrently with the original campaign, it allows you to control for external factors such as seasonality that could potentially skew the results. This simultaneous approach provides an accurate understanding of whether proposed changes can lead to improvements in campaign performance, thereby enabling informed decision-making for campaign optimization.