Churn Rate calculation - Last 30 days / 31 st Day value - Redshift












0















Hi any help is appreciated in giving some ideas



Churn Rate :
current date minus 30 days lost user
——————————————————————————



New Users count 31 days ago



We have data as follows:
Note: on a same date we can have Users Lost and new users, the User ID is a distinct ID.



UserID, Date,User Type, Column4,Column5,Column6
5123 ,11/14/2018, Lost

612312 ,11/14/2018 ,New

51241 ,11/13/2018 ,New

241 ,11/12/2018 ,Lost

.

.

.

.

123 10/18/2018 Lost

3451 10/17/2018 New

512321 10/16/2018 New

21323 10/15/2018 Lost

213132 10/14/2018 Lost

123256 10/13/2018 Lost

780303 10/12/2018 New



Expected outcome:




  1. Group by Dates

  2. User Type Column is split by 2 Columns - Last 30 Days Lost Users(A) New Users 31 days Ago(B)

  3. Last 30 days Lost Users - is the Count of Users Lost between Current Date - 30 days

  4. New Users 31 days Ago - is the count of User on -31st day from the current date.

  5. Churn .. A / B


enter image description here










share|improve this question





























    0















    Hi any help is appreciated in giving some ideas



    Churn Rate :
    current date minus 30 days lost user
    ——————————————————————————



    New Users count 31 days ago



    We have data as follows:
    Note: on a same date we can have Users Lost and new users, the User ID is a distinct ID.



    UserID, Date,User Type, Column4,Column5,Column6
    5123 ,11/14/2018, Lost

    612312 ,11/14/2018 ,New

    51241 ,11/13/2018 ,New

    241 ,11/12/2018 ,Lost

    .

    .

    .

    .

    123 10/18/2018 Lost

    3451 10/17/2018 New

    512321 10/16/2018 New

    21323 10/15/2018 Lost

    213132 10/14/2018 Lost

    123256 10/13/2018 Lost

    780303 10/12/2018 New



    Expected outcome:




    1. Group by Dates

    2. User Type Column is split by 2 Columns - Last 30 Days Lost Users(A) New Users 31 days Ago(B)

    3. Last 30 days Lost Users - is the Count of Users Lost between Current Date - 30 days

    4. New Users 31 days Ago - is the count of User on -31st day from the current date.

    5. Churn .. A / B


    enter image description here










    share|improve this question



























      0












      0








      0








      Hi any help is appreciated in giving some ideas



      Churn Rate :
      current date minus 30 days lost user
      ——————————————————————————



      New Users count 31 days ago



      We have data as follows:
      Note: on a same date we can have Users Lost and new users, the User ID is a distinct ID.



      UserID, Date,User Type, Column4,Column5,Column6
      5123 ,11/14/2018, Lost

      612312 ,11/14/2018 ,New

      51241 ,11/13/2018 ,New

      241 ,11/12/2018 ,Lost

      .

      .

      .

      .

      123 10/18/2018 Lost

      3451 10/17/2018 New

      512321 10/16/2018 New

      21323 10/15/2018 Lost

      213132 10/14/2018 Lost

      123256 10/13/2018 Lost

      780303 10/12/2018 New



      Expected outcome:




      1. Group by Dates

      2. User Type Column is split by 2 Columns - Last 30 Days Lost Users(A) New Users 31 days Ago(B)

      3. Last 30 days Lost Users - is the Count of Users Lost between Current Date - 30 days

      4. New Users 31 days Ago - is the count of User on -31st day from the current date.

      5. Churn .. A / B


      enter image description here










      share|improve this question
















      Hi any help is appreciated in giving some ideas



      Churn Rate :
      current date minus 30 days lost user
      ——————————————————————————



      New Users count 31 days ago



      We have data as follows:
      Note: on a same date we can have Users Lost and new users, the User ID is a distinct ID.



      UserID, Date,User Type, Column4,Column5,Column6
      5123 ,11/14/2018, Lost

      612312 ,11/14/2018 ,New

      51241 ,11/13/2018 ,New

      241 ,11/12/2018 ,Lost

      .

      .

      .

      .

      123 10/18/2018 Lost

      3451 10/17/2018 New

      512321 10/16/2018 New

      21323 10/15/2018 Lost

      213132 10/14/2018 Lost

      123256 10/13/2018 Lost

      780303 10/12/2018 New



      Expected outcome:




      1. Group by Dates

      2. User Type Column is split by 2 Columns - Last 30 Days Lost Users(A) New Users 31 days Ago(B)

      3. Last 30 days Lost Users - is the Count of Users Lost between Current Date - 30 days

      4. New Users 31 days Ago - is the count of User on -31st day from the current date.

      5. Churn .. A / B


      enter image description here







      churn






      share|improve this question















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      edited Nov 15 '18 at 6:09









      Zain Farooq

      1,9942928




      1,9942928










      asked Nov 15 '18 at 5:37









      sunnygudsunnygud

      32




      32
























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