best way to remove duplicates between two measures (two different base tables)

[gjensen]

I have two measures that both look for the same logic just in two seperate tables. There is no way to combine the tables to just rely on one measure. 

My goal is to combine the results and only return a DISTINCT count of the customers referenced between both measures. 

Below you can see the measures flagging various customers, but like for the first customer number referenced they show up for both measures/tables. What would be the best approach in combining them and only returning a distinct count of customer #s?

Here are the two queries below. As mentioned before they have the exact same functionality but are just referencing different tables.

New Go Customers SOs = 
    CALCULATE( DISTINCTCOUNT('New Custs SO Sign Ups'[BI_CUST_NBR]),
         FILTER(Campaign, Campaign[Campaign_Reason__c] = "Acquisition – Residential"),
        'New Custs SO Sign Ups'[BI_OPEN_DT] >= SELECTEDVALUE(Campaign[StartDate]),
       'New Custs SO Sign Ups'[BI_OPEN_DT]<= SELECTEDVALUE(Campaign[EndDate]),
        Campaign[Campaign_Reason__c] = "Acquisition – Residential")

New Go Customers = 
    CALCULATE( DISTINCTCOUNT(Charges[Charge Cust#]),
         FILTER(Campaign, Campaign[Campaign_Reason__c] = "Acquisition – Residential"),
        Charges[CHG_DATE] >= SELECTEDVALUE(Campaign[StartDate]),
        Charges[CHG_DATE] <= SELECTEDVALUE(Campaign[EndDate]),
        Campaign[Campaign_Reason__c] = "Acquisition – Residential",
        Charges[ACTION_FLAG] = "START")

Any help is appreciated. I will try and provide any additional information requested. 

[Greg_Deckler · Accepted solution]

@gjensen Perhaps some kind of Complex Selector like: The Complex Selector - Microsoft Power BI Community. Something along the lines of:

Selector Measure = 
  IF( [New Go Customers SOs] = 1 && [New Go Customers] = 1, 1, 0 )