+------------+----------+-------+
|    date    |  status  | count |
+------------+----------+-------+
| 1-May-2019 | active   |     0 |
| 1-May-2019 | inactive |     0 |
| 1-May-2019 | risky    |     1 |
| 2-May-2019 | active   |     1 |
| 2-May-2019 | inactive |     0 |
| 2-May-2019 | risky    |     1 |
| 3-May-2019 | active   |     1 |
| 3-May-2019 | inactive |     0 |
| 3-May-2019 | risky    |     1 |
| 4-May-2019 | active   |     1 |
| 4-May-2019 | inactive |     0 |
| 4-May-2019 | risky    |     1 |
| 5-May-2019 | active   |     3 |
| 5-May-2019 | inactive |     0 |
| 5-May-2019 | risky    |     1 |
| ...        | ...      |   ... |
+------------+----------+-------+

--create date table (not sure if usable)
CREATE TABLE #dates ([date] date)
DECLARE @dIncr DATE = '2019-05-01'
DECLARE @dEnd DATE = dateadd(day,-1,getdate())
WHILE (@dIncr <= @dEnd)
BEGIN
  INSERT INTO #dates ([date]) VALUES (@dIncr)
  SELECT @dIncr = DATEADD(day,1,@dIncr)
END
GO

-- ID + Subscribed Date (starts active at joindate)
create table #t1 (id int, [subdate] date)
insert into #t1 values
(9, '2019-01-01'),
(1, '2019-05-02'),
(2, '2019-05-05'),
(3, '2019-05-05'),
(4, '2019-05-10')
GO

-- ID + Latest activity date
create table #t2 (id int, [status] varchar(max), [datestatus] date)
insert into #t2 values
(9,'risky', '2019-03-01'),
(1, 'active', '2019-05-02'),
(2, 'inactive', '2019-05-13'),
(3, 'active', '2019-05-14'),
(4, 'risky', '2019-05-15')
GO

-- ID + Activity Logs Date
create table #t3 (id int, [statuschange] varchar(max), [datechange] date)
insert into #t3 values
(9,'inactive', '2019-01-01'),
(9,'active', '2019-02-01'),
(9,'risky', '2019-03-01'),
(2, 'risky', '2019-05-08'),
(2, 'inactive', '2019-05-13'),
(3, 'inactive', '2019-05-08'),
(3, 'active', '2019-05-14'),
(4, 'inactive', '2019-05-15'),
(4, 'risky', '2019-05-15')
GO