+1Or will I need to add a clause to exclude contacts from that first sample?
Asking because I have a list of about 30,000 contacts and I want to stagger distribution up to a maximum of 2,000 contacts without adding an exclusion clause to each sample.
TIA
Best answer by CarolK
Qualtrics will tend to avoid sending a duplicate message to the same person if the individuals are in multiple segments, receiving the same message and inviting them to the same survey but on a timed stagger.
However, if the different segments are receiving different messages (A/B message testing, etc) or you need the groups to be the same size, then I would suggest that you set each successive segment definition to include a clause that the contents NOT include anyone in the prior segment(s).
Eg Segment 2 excludes Segment 1, Segment 3 excludes Segments 1 & 2, and so on.
I tend to default to adding the criteria, just to be certain of the behavior (because sometimes technololgy gets updated and specs change), but I understand that’s tiresome when your list is large and there will be many segments.
+42Qualtrics will tend to avoid sending a duplicate message to the same person if the individuals are in multiple segments, receiving the same message and inviting them to the same survey but on a timed stagger.
However, if the different segments are receiving different messages (A/B message testing, etc) or you need the groups to be the same size, then I would suggest that you set each successive segment definition to include a clause that the contents NOT include anyone in the prior segment(s).
Eg Segment 2 excludes Segment 1, Segment 3 excludes Segments 1 & 2, and so on.
I tend to default to adding the criteria, just to be certain of the behavior (because sometimes technololgy gets updated and specs change), but I understand that’s tiresome when your list is large and there will be many segments.
+38I agree with
If you can, I recommend using Excel or another external product to assign an embedded variable that can be used to create the sample. I’ve often used rand() functions and pivot tables to see that I’ve hit my sampling criteria when splitting a large file into smaller samples.
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