Hi GB team, we have a continuous metrics and we wa...
# ask-questions
f
Hi GB team, we have a continuous metrics and we want to measure it . The closest that we find is revenue. How do we integrate continuous metrics and monitor it ?
h
Choosing "count" should work given that I believe we just work with summing the
value
of the metric by user.
Under the hood, revenue and count will be very similar, but they will render differently in the front end.
What is your datasource?
f
We are using Big Query !!!
h
Yeah, so if you choose count it should just sum up continuous metrics and should work fine!
f
@helpful-application-7107 when we pick count metric it does not show posterior distribution and same goes for revenue metric?
@helpful-application-7107 count is a discrete metrics where as revenue is a continuous metric, so how is it same? When we take it as Count it does not show posterior distribution (violin plot).
h
Under the hood in the experiment queries, we just use
SUM
for both count and revenue. If you change the type to revenue, do you see the posterior distribution?
f
We have changed the type to revenue and we are not able to see the posterior distribution.
h
Is it possible that the total are too small or the percent change is outside your max range? Could you share a screenshot of the row where you expect to see results? Feel free to DM me if you prefer.