Converting query with aggregate functions to a group by - sql

Question

What I am trying to do is extract what and how many orders are ordered by customers.
I am able to get all the data but what I want is to group it based on a TrackingID unique to each customer, and thus get only one row per customer, regardless of how many items ordered.
The Code I currently have is
Select OT.TrackingID As FW_ID
,( Select
SUBSTRING(CT.Name, 1, CHARINDEX(' ', CT.Name) - 1)
Where LEN(CT.Name) - LEN(REPLACE(CT.Name, ' ', '')) > 0
) As Forename
,( Select
SUBSTRING(CT.Name, CHARINDEX(' ', CT.Name) + 1, 8000)
Where LEN(CT.Name) - LEN(REPLACE(CT.Name, ' ', '')) > 0
) As Surname
,( Select CAST(1 as VARCHAR) + ' p1 male'
Where OT.ArticleNr = 1
And CT.GroupNr IN (2,5)) As Amount_male_t1
,( Select CAST(1 as VARCHAR) + ' p1 female'
Where OT.ArticleNr = 2
And CT.GroupNr IN (2,5)) As Amount_female_t1
,( Select CAST(1 as VARCHAR) + ' p2 male'
Where OT.ArticleNr = 1
And CT.GroupNr IN (3,6)) As Amount_male_t2
,( Select CAST(1 as VARCHAR) + ' p2 female'
Where OT.ArticleNr = 2
And CT.GroupNr IN (3,6)) As Amount_female_t2
From OrderTable As OT
JOIN CustomerTable As CT
ON OT.CustomerNr = CT.CustomerNr
JOIN CampaignTable As CT
ON OT.TrackingID = CT.TrackingID
Where CT.GroupNr IN (2,3,5,6)
And OT.NewOrder = 1
An example of what I can get from this is
FW_ID Forename Surname Amount_male_t1 Amount_female_t1 Amount_male_t2 Amount_female_t2
101 John Doe 1 p1 male NULL NULL NULL
101 John Doe NULL 1 p1 female NULL NULL
102 Steve Boss NULL NULL 1 p2 male NULL
102 Steve Boss NULL NULL 1 p2 male NULL
And what I want is
FW_ID Forename Surname Amount_male_t1 Amount_female_t1 Amount_male_t2 Amount_female_t2
101 John Doe 1 p1 male 1 p1 female NULL NULL
102 Steve Boss NULL NULL 2 p2 male NULL
Problem is that when I use Group By on OT.TrackingID I get an error when using MAX() on the names due to them being aggregated already and errors when trying to turn the package counters into COUNT() funktions.
Help would be most appreciated.
The joined tables looks something like this
OrderTable:
TrackingID CustomerNr OrderNr ArticleNr NewOrder OrderDate
101 10054 25 1 1 2014-06-09
101 10054 24 2 1 2014-06-09
102 10036 23 1 1 2014-06-08
102 10036 22 1 1 2014-06-07
103 10044 21 2 0 2014-06-06
CustomerTable
CustomerNr Name Adress ZipCode CustomerCreatedDate
10054 John Doe Upstreet 123456 2013-05-18
10036 Steve Boss Downstreet 234567 2014-06-07
10044 Eric Cartman Sidestreet 345678 2014-02-21
CampaignTable
TrackingID GroupNr ProductDescription
101 2 Group 2 & 5 are offered package 1
102 3 Group 3 & 6 are offered package 2
103 5 Group 2 & 5 are offered package 1
NOTE: If someone could give advice as to why my question is downvoted that would be most appreciated. I don't quite know what I've done wrong.

Answer 1

One approach would be to use a view, as mentioned. You can do this in-line in the query, and it doesn't need to be saved in the schema.
I've made a demo to show how this can be done with the sample table data you provided. From here if you wanted to change the representation of the data to a single line, you can just pivot it as shown here.
SELECT SplitNames.Forename, SplitNames.LastName FROM CustomerTable
INNER JOIN
(
SELECT CustomerNr,
SUBSTRING(CT.Name, 1, CHARINDEX(' ', CT.Name) - 1) As Forename,
SUBSTRING(CT.Name, CHARINDEX(' ', CT.Name), LEN(CT.Name) - 1) As LastName
FROM CustomerTable CT
) SplitNames ON CustomerTable.CustomerNr = SplitNames.CustomerNr
In general you should try to use as few subqueries in the select statement as possible, as it makes it impossible to properly aggregate any of your results.

Answer 2

You could use your query as a view and then use that view for a new query using distinct and count clauses.
I'm sorry, I understand this is not the best solution since it has two steps and maybe could be solve in a better way, but I can't find anything better, at moment, without any example data on a my db.