I created the rule for checking some number which is anomaly. the alerte show this message
Daily Visits was 4,015 which was 3,494% above expected. This is statistically significant. The filters applied were : xxx
i would like to know how to calulate the percentage from?
attached for raw as well.
3/11/2023 | 0 |
3/12/2023 | 0 |
3/13/2023 | 0 |
3/14/2023 | 0 |
3/15/2023 | 0 |
3/16/2023 | 0 |
3/17/2023 | 0 |
3/18/2023 | 0 |
3/19/2023 | 0 |
3/20/2023 | 2 |
3/21/2023 | 81 |
3/22/2023 | 83 |
3/23/2023 | 65 |
3/24/2023 | 113 |
3/25/2023 | 90 |
3/26/2023 | 68 |
3/27/2023 | 90 |
3/28/2023 | 108 |
3/29/2023 | 95 |
3/30/2023 | 111 |
3/31/2023 | 177 |
4/1/2023 | 149 |
4/2/2023 | 133 |
4/3/2023 | 119 |
4/4/2023 | 114 |
4/5/2023 | 159 |
4/6/2023 | 140 |
4/7/2023 | 111 |
4/8/2023 | 120 |
4/9/2023 | 105 |
4/10/2023 | 4015 |
4/11/2023 | 3767 |
thanks for support
Solved! Go to Solution.
Views
Replies
Total Likes
It depends on the condition and threshold amount you select in the alert builder. Also, if you select the one of the anomaly condition and the % of threshold in the alert builder, then the alert you get is depend on the anomaly and the daily visits for that specific day.
Views
Replies
Total Likes
It depends on the condition and threshold amount you select in the alert builder. Also, if you select the one of the anomaly condition and the % of threshold in the alert builder, then the alert you get is depend on the anomaly and the daily visits for that specific day.
Views
Replies
Total Likes
Hey @pigpig - if you are asking as to where the 3494% comes from, it looks like it is the percent change for the daily visits that day (4,015) from the average in the last 20 days (which is what you may have set your alert granularity to).
As @Krishna_Musku said, the anomalies are triggered based on the threshold amount (whether it is by standard deviation, a specific percent increase, or a set value) and the granularity for the training period.
You can find additional resources here:
https://experienceleague.adobe.com/docs/analytics/analyze/reports-analytics/alerts.html?lang=en