This is the second part of a two part deep dive guest post about using Multiple Custom Variables written by Allaedin Ezzedin from E-Nor , a Google Analytics Certified Partner in Northern California. Spanish version of the site, visited the men's department, bought an item during their visit, looked at suits and visited the wedding registry section.Sign in to your Google Analytics account Advanced Segments > Create a new advanced segment Add the following dimensions: 3. Viewing Reports If you're still with us to this point, you are now ready to conduct analysis based on customized segments. Let's apply the advanced segment we just created and compare it with another advanced segment:
Segment 1 : visitors who used the
Spanish version of the site, visited the
men's department,
bought an item during their visit, looked at
suits and visited the
wedding registry section.
Segment 2 : visitors who used the
English version of the site, visited the
men's department,
bought an item during their visit, looked at
suits and visited the
wedding registry section.
At first glimpse, the dashboard numbers confirm that the Spanish-speaking customers who visited the wedding registry and looked at suits is more likely to buy than the English-speaking customers who visited the same store sections! This is invaluable feedback to report back to your marketing team.
We can easily create additional segments/reports (or use Secondary Dimensions & Pivoting, or extract the data via the GA API) and have a much deeper understanding of user behavior on the site, and act on these findings.
What if you don't have an ecommerce site? No worries, the same concepts explained in the the above example are totally applicable to other types of sites. Lead generation sites, content sites and other types can definitely benefit from this powerful MCV feature. Just think of visitor segments & user actions that are important to you and then apply a similar implementation approach.
Now go out, segment, analyze and truly understand your users!
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Posted by Jeff Gillis, Google Analytics Team
