Average Customer Return Time

Hi @Manal_Edd ,

I created a sample pbix file(see attachment) for you, please check whether that is what you want.

1. Create two measures as below

Datediff = 
VAR _selcust =
    SELECTEDVALUE ( 'Table'[lead_customer_id] )
VAR _seldate =
    SELECTEDVALUE ( 'Table'[closed_at] )
VAR _predate =
    CALCULATE (
        MAX ( 'Table'[closed_at] ),
        FILTER (
            ALLSELECTED ( 'Table' ),
            'Table'[lead_customer_id] = _selcust
                && 'Table'[closed_at] < _seldate
        )
    )
RETURN
    DATEDIFF ( _predate, _seldate, DAY )

average_orderTime = 
VAR _selcustid =
    SELECTEDVALUE ( 'Table'[lead_customer_id] )
VAR _count =
    CALCULATE (
        COUNT ( 'Table'[lead_customer_id] ),
        FILTER ( ALLSELECTED ( 'Table' ), 'Table'[lead_customer_id] = _selcustid )
    )
VAR _sum =
    SUMX (
        FILTER ( ALLSELECTED ( 'Table' ), 'Table'[lead_customer_id] = _selcustid ),
        [Datediff]
    )
RETURN
    IF (
        ISBLANK ( [Datediff] ),
        0,
        IF ( _count = 1, _sum, ROUND ( DIVIDE ( _sum, _count - 1 ), 0 ) )
    )

2. Create a table visual 

If the above one can't help you get the desired result, please provide more sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. You can refer the following link to upload the file to the community. Thank you.

How to upload PBI in Community

Best Regards