What’s the benefit of running a true A/B test with campaign experiments?
- By testing multiple variables at a time, an A/B test gives advertisers information they can use to adjust their campaigns quickly based on insights.
- By revealing whether their trial campaign drove user action that wouldn’t have taken place otherwise, an A/B test gives insights into user behavior.
- By running a single campaign at a time, an A/B test allows for a true ramp-down period between each testing period so that results can be decluttered.
- By running concurrently with an original campaign, a trial campaign controls for external factors, like seasonality, that might otherwise bias results.
Related questions:
What’s the use in running a true A/B test with experiments?
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- 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 simultaneous to an original campaign, a trial campaign controls for external factors, like seasonality, that might otherwise introduce bias.
- 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.
What is the value of running a true A/B test with campaign experiments?
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- A/B tests can help marketers understand if their trial campaign drove user action that wouldn’t have occurred otherwise.
- In an A/B test, trial campaigns run at the same time as the original campaign, controlling for external factors (e.g. seasonality) that may otherwise bias results.
- An A/B test runs one campaign at a time, allowing a true ramp-down period between each testing timeframe to declutter results.
- An A/B test is designed to test multiple variables at one time, allowing advertisers to learn and quickly adjust their campaigns based on findings.