I am wondering if anyone knows exactly how the error threshold in the audience estimator is calculated? I understand that it reflects the variance between your audience estimate sample and the overall profile population. How would that be calculated?
Thanks,
Nick
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@Tof_Jossic @ReenaJohn @Prateek-Garg @Hitaprem @Ankit_Chaudhary Request you to please look at this question and share your thoughts.
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Hi, following up on this. Still wondering how this is calculated. Is it a reflection of the variance in profiles between your sample population and the actual population in your profile store?
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@_Manoj_Kumar_ @nnakirikanti @AtulChavan @Indra @Hitaprem @brekrut @ccg1706 @abhinavbalooni @Kumar_Saurabh_ @GigiCotruta @akshaykapil23 Kindly take a moment to review this question and share your valuable insights. Your expertise would be greatly appreciated!
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Hello @NickMannion
The sample size of the scan depends on the overall number of entities in your Profile store. These sample sizes are represented in the following table:
Less than 1 million | Full data set |
1 to 20 million | 1 million |
Over 20 million | 5% of total |
Hi thanks for the response,
Yes, so from my understanding, I know that the sample data is a reflection of 5% of our total profile store and that data is only refreshed when there is a 5% increase or decrease in the number of profiles in our profile store. What I want to understand more is how that error threshold in the estimated profiles is calculated. You know how if you click on the i next to the estimated profiles, it will show you the estimate's error threshold? I don't see any documentation on how that threshold is calculated. We've seen a few instances recently where the actual profile size is way outside of estimated error threshold so I want to understand how that is calculated
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