Use Calculated metrics inside segments

Hi,
Any update available?

I too would be interested in this feature becoming a reality

Upvote - Is there a status update?

Hi,

This feature is still not available.

This can be really useful

Moved back to New status because this is something that is on the backlog for future consideration. Investigation was done but it is not yet prioritized on our reporting engine's backlog.

It' still "investigating"?

This is something that we know is very important, and we often discuss how we can support this. Currently though, the way our reporting engine works prevents us from supporting calculated metrics in segmentation. A little more detail on why:

- Segmentation is done down at the visitor level - we look across all visitors and return the ones that match the segment criteria.

- Then, Calculated metrics are calculated across the returned visitors in aggregate.

- In order to support calculated metrics in segmentation, we would need to move calculations down to the visitor level (instead of doing them at the aggregate level).

Marking this one "For Future Consideration", but know that we are always discussing how to make this happen.

Here is my use case: working on Persona Development, want to create segments of visitors who mainly come from a certain channel and then do or do not add to cart. The calculated metrics involve entries form this channel as % of all entries, and % of visits from this channel resulting in a cart addition. Clearly need either to be able to use the calculated metric in creating a segment, or ability to create Math expressions and use logic functions in Segments.

This is very unfortunate as in future targeting and personalization being able to use segments for different personas based on complex calculations would be a great function!

Hi Gigazelle​! Any updates on this please? This would be a very useful feature and can avoid all my analytical contortions/hacks/workarounds.

Hi Gigazelle​ any update on this in 2019? Has it made it on the road map?

Thanks. 

I'll add another use case. For A/B testing, it's useful to be able to extract outliers for metrics such as Revenue. The ability to segment out automatically data points that are below the first quartile or above the third quartile would be extremely helpful.