I Tracked Every Location Separately.Then I Lost the Plot.
Setting up Google Analytics for a multi-location client on the Space Coast, I created separate properties for Titusville, Melbourne, and Cocoa Beach. It felt organized.
It turned into a mess. Comparing locations meant switching between three dashboards, and I couldn't see which location actually drove revenue without manually stitching data together.
The better move was one property with location-based segments and filters. Google's GA4 documentation shows you can tag every conversion with location data through custom dimensions or UTM parameters, then slice reports by location without losing the unified view.
I switched to a consistent UTM convention, utm_source=google, utm_medium=cpc, utm_campaign=titusville-lsa, so it was the same property, clean separation, one source of truth.
Now a single report shows total revenue, location-by-location breakdown, and conversion patterns across all three at once. Our analytics setup builds this structure from day one, because fragmented data leads to fragmented decisions.
Our Florida Local Search Index works the same way, consistent structure across markets is what makes the comparisons meaningful instead of noisy.
If you track multiple locations in separate analytics properties, consolidate into one with location tagged via UTM parameters or custom dimensions. One source of truth lets you compare locations in a single report instead of stitching three dashboards together by hand.
