I recently discovered a very odd mechanic inside the journey builder when it comes to decision splits and i am uncertain how to solve this issue. The example journey:
What i want to do is the following: I got a decision split inside a journey that should route contacts that bought something into a different path than those that did not buy something.
To make this possible I created two DataExtensions which I connected to the contactmodel via datadesigner. Some Aspects:
- [CENTRAL-SUBSCRIBER-TABLE] relates to subscriberkey on contactmodel
- the PURCHASED_CLEANED.customer-number relates to customer-number from [CENTRAL-SUBSCRIBER-TABLE]
- Every customer-number can have one to multiple subscribers.
- The relationship is defined as ONE to ONE (in normal databases that would be wrong because you would have one to many here [just a foreign key]).
Below is a screenshot from the relationship:
Since I wanted to remove any complex aspects I created a query that cleans all the real purchases dataextension from customers that only the latest purchase of a customer remains. The result is inside [PURCHASED_CLEANED]
Now lets come to the odd stuff:
I defined the decision split like Journey-DataExension customer-number
compares to attribute [PURCHASE_CLEANED].customer-number
. If is this is true the contact counts as "has bought" in the following UpdateContact Activity, if not he counts as "has not bought".
It works for most of the contacts but there is one standing out. Although he has ONE record in the PURCHASE_CLEANED dataextension he counts as "has not bought".
I watched on the dataextensions involved and the subscriber model, this contact is similar/equal to the other ones. Except for the following fact: The purchase dataextension (not the cleaned) has two purchases for this contact and every other customer has only one(test dataset). Only one gets transferred to the PURCHASE_CLEANED dataextension though (and i am 100% certain this works correct- I use a select with a another select that uses rownumber and partition by and i only get the first rownumber, with descending eventdate on purchases).
Do you have ANY idea why this particular contact would count as "has not bought", while it works on all other contacts?
Input Dataextension:
Subscriber|customer-number
100|111
101|111
102|111
201|222
202|222
203|222
304|333
PURCHASE:
purchase-id|customer-number|eventdate (i leave the values out here)
1|111|...
2|111|...
3|222|...
PURCHASE_CLEANED:
purchase-id|customer-number|eventdate (i leave the values out here)
2|111|...
3|222|...
Output:
subscriber | datasplit-string
100|"has not bought"
101|"has not bought"
102|"has not bought"
201|"has bought"
202|"has bought"
203|"has bought"
304|"has not bought"
Another really questionable thing: Why does the comparison only works in the following direction:
Compare JourneyData-Attribute to DataDesigner-Dataextension-Attribute
and not
Compare DataDesigner-Dataextension-Attribute to Journey-Attribute
The Output with DataDesigner-Dataextension to Journey-Attribute:
subscriber | datasplit-string
100|"has bought"
101|"has bought"
102|"has bought"
201|"has not bought"
202|"has not bought"
203|"has not bought"
304|"has bought"
When I do this it also inverts the outcome of the decision splits that all contacts who bought, now count as "has not bought" and everyone else (and the odd one) count as "has bought". I really do not understand this behaviour.
Journey History for this history does not deliver any deeper insight.