Target always displays 95% confidence intervals. The confidence interval is a range of estimates within which the true value of the metric can be found at a given confidence level. Confidence IntervalĬurrently, the confidence interval is calculated only for binary metrics. The confidence rounds up to 100.00% when the confidence is greater than or equal to 99.995%.īefore making any business decisions, try to wait until your sample size is large enough and that the four bars of confidence on one or more experiences stays consistent for a continuous length of time to ensure the results are stable. Put more simply, higher confidence indicates that the data is less consistent with the assumption that the the control and non-control offer/experience have equal conversion rates. In terms of p-values, this confidence displayed is 1 - p-value. The confidence of an experience or offer that is displayed is a probability (expressed as a percentage) of obtaining a result less extreme than the one that is actually observed, if the null hypothesis is true, (in essence, if there is no difference in conversion rates between that experience or offer, and the control experience/offer).
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For more information, see “Performing Offline Calculations for Analytics for Target (A4T)” below. You can perform offline calculations for Analytics for Target (A4T), but it requires a step with data exports in Analytics. Confidence Level and Confidence Intervalįor each experience, the confidence and confidence interval are displayed. Retail DataĪOV, RPV, and Sales data are displayed for each experience if you inserted a Place Order ( orderConfirmPage) mbox and selected it as the conversion mbox. If control is 0, there is no percentage lift. Lift = (Experience CR - Control CR) / Control CR LiftĬompares the conversion rate for each experience against the control experience.
Currently, the confidence interval is calculated only for binary metrics.
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