What I'm trying to do:
I am trying to see which custom links on many pages are driving to a specific page. From what I can see, you can see custom link paths and you can see page paths, but you can't easily see the combination. I have access to Data Warehouse/Ad hoc/Workspace/Analytics.
For example:
Page A has Link W and Link X that drive to Page C.
Page B has Link Y and Link Z that drive to Page C.
I am looking for a way to see the proportion of Link W, X, Y and Z that drive to Page C.
I was thinking that I could create a segment that says:
Give me HITS for Visits who were not on Page C but within 1 hit landed on Page C -- but I get every link they clicked on for visits that match
There is also the before/after sequence I can apply to a container but I am really looking for what happens within the container.
Any ideas?
Thanks!
Solved! Go to Solution.
Do you have activity map implemented? If so, you should be able to use the dimension 'activity map link' and use a segment where next page equals Page C.
We've implemented an eVar that on each href click collects a concatenation of current URL + destination URL + link text/title/name, then we split those out into 3 classifications with the classification rule builder. So I can easily break down all links driving to and from any specific page on our site.
Views
Replies
Total Likes
This doesn't help you with your current data, but an implementation technique that we've successfully applied in a number of scenarios is to capture a "navigation tracking" value on the destination page.
The basic steps are:
You will have a value that can easily be used to break down page views by the different internal (within your site) navigation methods that were used to reach it. With the type of concatenation described by @nickhomer, the variable's value can contain a lot of other valuable information once classified.
Views
Replies
Total Likes
So in general, it sounds like there isn't a relatively easy way to do this with the existing data? The team found a way to make two pulls to the data warehouse and matches the steps of the users via the marketing ID. Not a perfect system but gives us a reasonable read on how links are performing.
Any other ideas on less than ideal ways to pull this data?
Views
Replies
Total Likes
It sounds like what will help you the most is just using internal tracking IDs.
You can then set a unique ID for each link and have every ID then easily segementable.
A few caveats, the IDs visitor interaction will change as each new ID from a new URL is clicked.(lasted ID will override the previous one)
You can then create pathing analysis based on one or more IDs.(workspace will then allow for very deep page analysis based on the IDs you have specified)
For deeper pages look at total IDs accessing that page etc...
Also IDs can then be associated with success events and even activity map for further data correlations.
good luck
Views
Replies
Total Likes
Do you have activity map implemented? If so, you should be able to use the dimension 'activity map link' and use a segment where next page equals Page C.