Outliers can severely skew the accuracy of any analysis conducted on a data set, and can lead to potentially incorrect conclusions.
planned
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Jorge Arboleya
Outliers are often excluded from the analysis with a Outlier filtering/detection such as do A/B testing platforms handle outliers, example:
Optimizely: https://help.optimizely.com/Measure_success%3A_Track_visitor_behaviors/Outlier_filtering_in_Optimizely_X
Dynamic Yield:
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Hubert Wassner
I agree that this is something we should have.
Which is also linked to another topic: currency handling.
Today the platform is not handling currency and assume that all the payment are done in the same currency. So any payment done in a currency with a low value compared to the expected currency will have the same effect as a extreme value.
These to topic should be handled together. I know Léon Roibu made prototype I don't know if there is a plan to make a proper implementation.
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Corentin Gilles
Adding Charles Hibon Baptiste Deroche David Chreng in the loop as they are owners of this topic 🙂
Charly Lemmons
Hi Corentin Gilles, love seeing that this is planned, as I feel like this is something that our luxury retail clients in particular run into. For example, the AOV for a jewelry client's website might be $1,000, but there are $80,000 products that can be purchased, which is a significant difference. While clients can use our reporting filters to remove revenue outliers, it would be great to have this as a potential default setting.
Is there an update on if this is still planned? Let us know if there's any additional information or use cases that we can provide that would be helpful.
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Corentin Gilles
planned
@Corentin Gilles this is not planned