Hi @nastya 
So your chart will output the downloaded users as per the most recent value of their free_trial_group property during the selected chart time frame. To verify the expected behavior, you should see that these downloaded users should have the free_trial_group column value as 7_days since you are picking this from the most recent event.

Based on how user properties work in Amplitude, here’s what I think could be happening - these users could have been in the photos_count = 0 segment atleast once sometime during the chart’s time frame. Their most recent event could have the value for photos_count updated to something apart from 0, which is what is shown in the csv.

You can try picking some of these users ids and see how many times their photos_count property got updated during the time frame vs this value of their latest event.

Hope this helps.

@Saish Redkar thanks for the answer! Now I get it.
So I tried to get this data with segmentation and still the same behaviour

Could you advice on what instrument should I use to get the result I want?

What’s the exact question you are trying to answer here?

@Saish Redkar how many users have 0 or none photos_count in each free_trial_group. Ideally in a pie chart

@nastya 

If I understand this correctly, then you could try reversing your user composition chart -

composition by “photos_count” ( Most recent value ) against your trial segments : free_trial = 7 days and free_trial = 30 days. With this approach as well, you need to be aware of the time period of the chart. If the photos count is a property which gets updated quite frequently, then you will get the results accordingly. You can also try using the cross-property values clause to see how many users have had multiple values for this property.

Hopefully this works out.