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Problem:
I need to count how many matching ID numbers make it from Table 1 (Stage 1) to Table 2 (Stage 2) in order to calculate the conversion rate from Stage 1 to Stage 2.
Table 1 (Stage 1)
| ID Value (string) | Stage |
| 123A | Stage 1 |
| 456B | Stage 1 |
| 789C | Stage 1 |
Table 2 (Stage 2)
| ID Value (string) | Stage |
| 123A | Stage 2 |
| 999D | Stage 2 |
| 789C | Stage 2 |
In this example I would like to figure out my conversion rate from stage 1 to stage 2. How can I count that two ID's from Stage 1 made it to Stage 2 (123A and 789C)? Once I get the count which would be 2 in this case, I can take that and divide over the total ID count in Stage 2 to get a 2/3 or 66% conversion rate.
Solved! Go to Solution.
You can use INTERSECT to see which ID's are in both tables, then COUNTROWS of the table resulting from the INTERSECT
Measure = COUNTROWS(INTERSECT(VALUES(Table1[ID Value]),VALUES('Table2'[ID Value])))
Your conversion rate would then be
Conversion Rate = DIVIDE([Measure], COUNTROWS('Table2'))
Regards
Phil
Proud to be a Super User!
You can use INTERSECT to see which ID's are in both tables, then COUNTROWS of the table resulting from the INTERSECT
Measure = COUNTROWS(INTERSECT(VALUES(Table1[ID Value]),VALUES('Table2'[ID Value])))
Your conversion rate would then be
Conversion Rate = DIVIDE([Measure], COUNTROWS('Table2'))
Regards
Phil
Proud to be a Super User!
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