Hi,
I'm having an issue when pulling data from the Data Warehouse. I am pulling two files, one with visits broken down by week, the other broken down by week and tracking code. In the second file, I am seeing more visits than in the first, even though I'm using the same date range.
Why would this be?
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Hi paulr44860813,
It makes sense that the visit count is higher when you look break it down by tracking codes. A visit can easily have more than one tracking code. Example:
the user goes to google, searches for product A, find your paid advertisement and click through to your website, the tracking trigger campaign A in AA and registers 1 visit. The user is not interested in the product and goes back to the google search result page and searches again, not another paid ad shows up which has campaign B tracking code. If the user clicks through on this paid ad as well, then you will also have 1 visit registered to that campaign.
In your first data extract (without the campaign tracking code), you will just see 1 visit, because the user had 1 visit within the 30 minute window. When you break it down with campaign code, you will see more visits as there is 1 registered for each campaign code.
Hope the above makes sense.
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Need a bit more info.
What do column of each data warehouse look like(are metrics the same)?
Is any segment part of the data pulls?
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Columns for pull #1:
Week
Sessions (Visits)
Orders
Revenue
Unique Visits
All Visits
Columns for pull #2:
Week
Tracking Code
Sessions (Visits)
Orders
Revenue
Unique Visits
All Visits
There is a filter being applied to both of these on the tracking code dimension.
Everything about the two pulls is exactly the same except one includes tracking code as a dimension and the other does not
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Hi initially looks like it should be good.
I am suspecting the dimension tracking code may be wrong. Double check for a similar named item, Tracking Code (evar1) or something like it depending on number of your tracking code. May just be its the incorrect version selected.
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Hi paulr44860813,
It makes sense that the visit count is higher when you look break it down by tracking codes. A visit can easily have more than one tracking code. Example:
the user goes to google, searches for product A, find your paid advertisement and click through to your website, the tracking trigger campaign A in AA and registers 1 visit. The user is not interested in the product and goes back to the google search result page and searches again, not another paid ad shows up which has campaign B tracking code. If the user clicks through on this paid ad as well, then you will also have 1 visit registered to that campaign.
In your first data extract (without the campaign tracking code), you will just see 1 visit, because the user had 1 visit within the 30 minute window. When you break it down with campaign code, you will see more visits as there is 1 registered for each campaign code.
Hope the above makes sense.
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Replies
Total Likes