adobe target sample size calculator


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  • What is auto-allocate and the Adobe target sample size calculator?

    This article contains information about Auto-Allocate activities and the Adobe Target Sample Size Calculator to help you ensure that your activity has enough visitors to achieve your goals. It is tempting to stop an activity if one of the offers performs better or worse than the others in the first few days of the activity.

  • How can Adobe Target help you achieve your conversion goals?

    Adobe Target provides tools to help ensure that your activity has a large enough sample size to achieve your conversion goals: Auto-Allocate. An Auto-Allocate activity is a type of A/B test that identifies a winner among two or more experiences.

  • What are the statistical requirements for attribute sample sizes?

    The calculations for attribute sample sizes require product lots to be somewhat large. The statistical requirement is that n × p > 5 and also that n (1 – p) > 5. Entering different values for p shows that the smaller the percent defective, the larger the sample size must be for these statistical approaches to remain valid.

  • What is the target sample size calculator?

    If you choose to use a manual A/B Test activity rather than Auto-Allocate, the Target Sample Size Calculator helps you determine the sample size needed for a successful test. A manual A/B test is a fixed horizon test, so the calculator is helpful.

Auto-Allocate

An Auto-Allocateactivity is a type of A/B test that identifies a winner among two or more experiences. An Auto-Allocate test automatically reallocates more traffic to the winner to increase conversions while the test continues to run and learn. Standard A/B tests have an inherent cost. You must spend traffic to measure performance of each experienc

Adobe Target Sample Size Calculator

If you choose to use a manual A/B Test activity rather than Auto-Allocate, the Target Sample Size Calculator helps you determine the sample size needed for a successful test. A manual A/B test is a fixed horizon test, so the calculator is helpful. Using the calculator for an Auto-Allocate activity is optional because Auto-Allocate declares a winner

Correction For Comparing Multiple Offers

Each time you compare two offers the chance of getting a false positive (observing a statistically significant difference even when there is no difference in conversion rate) is equal to the significance level. For example, if five offers are present, A/B/C/D/E, and A is the control offer, then four comparisons are done (control to B, control to C,

Conclusion

By using an Auto-Allocate activity, Target identifies a winner among two or more experiences and automatically reallocates more traffic to the winner to increase conversions while the test continues to run and learn. Auto-Allocate makes it easy to achieve your conversion goals while removing the guess-work. By using the sample size calculator (link

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