Hi there.
I want to create a monthly report that shows me some KPI's, from the data pulled from our database about the players.
I have this Table called IAPs (In App Purchases)
In this table I have all the players that bought, in the "Player" Collumn.
The "Player date created" column shows when the player entered the game.
"DATECREATED" Shows when was the purchase made.
"Id" Shows the purchase Id, wich is the unique field in this table, all the other ones repeat.
Month cohort is the datediff between "Player date created" and "DATECREATED".
I want to make a cohort analysis that watches the players that keep buying trhough months. Thats what the selected table means in the second picture. The formula is as follows:
Conversion rate = divide([buyers per month], [New Players Month])
buyers per month =
CALCULATE(DISTINCTCOUNT([Player]),ALLEXCEPT(IAPs,IAPs[player date created (bins)]),IAPs[month cohort] >= EARLIER(IAPs[month cohort]))
New Players Month = Calculate(countrows('Player Master'), ALLEXCEPT('Player Master','Player Master'[DateCreated (bins) 2]))
New Players month is all correct, I double checked. The problem is in buyers per month.The thing is Buyers per month distinct counts players buying in months cohort that already passed when I refresh the report!
(player created: November; cohort : 1; purchase month: december) This player can never buy again once december 2016 has passed, but when I resfresh the report, the conversion rate for this conditions change!
Either I invented the time machine or I'm missing something.
Can someone help?