Hi,
my goal is to calculate the number of retained customers per month.
So let's say our timerange starts in 2015-11 and 100 customer logged in during this month. Then I want to know how many of these 100 customers logged in in 2015-12 as well. And so on...
In general: How many users logged in month n and in month n-1?
The final table would look like this
month | active customers | retained customers from previous month
2015-11 | 100 | -
2015-12 | 500 | 25
2016-01 | 1000 | 90
I'm using a search with timerange from 2015-11 to 2016-01 that ends up in correct results.
sourcetype=logins
| bucket span=1mon _time
| stats count BY account_id, _time
| eventstats values(_time) AS login_months BY customer_id
| eval month=round(relative_time(_time, "@mon"), 0)
| eval month_1=round(relative_time(_time, "-1mon@mon"), 0)
| timechart span=1mon dc(eval(if(_time=month, customer_id, null()))) AS customers,
dc(eval(if(_time=month AND login_months=month_1, customer_id, null()))) AS returning_customers
But using an earlier start date (2015_07 - 2016_01) is also changing the number of retaining customers in 2015-12. This does not make sense and I can't figure out which part of the search is causing this issue.
Thanks in advance
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