Google Analytics

Use clean, controlled taxonomy from Emfas for your reporting in Google Analytics so that they are always accurate and don't become unreliable over time due to category names drifting over time.


Accurate category reports in Google Analytics with clean Emfas taxonomy

Do organic-certified products convert better? What is the view-to-purchase rate by material? Which ingredient drives the highest AOV? Connect product attributs data from Emfas to Google Analytics as custom dimensions and you can slice your GA4 reports and explorations by the attributes that matter to your business.


Analyze product attribute performance in Google Analytics

Shopify has no category hierarchy. You can see that "Apparel" drives revenue, but GA4 can't tell you whether it's Menswear or Womenswear, let alone which subcategory within each. Emfas stores your full taxonomy path (for example, Apparel > Men > Shirts > Oxford) as product metafields. Littledata maps each level of that path to GA4's built-in `item_category` through `item_category5` parameters, giving you up to five levels of drill-down in standard reports and explorations, with no custom dimensions needed.


Drill down by subcategory from Emfas in Google Analytics

Emfas

Connect Google Analytics with your Shopify store using Littledata's server-side tracking.

Google Analytics Recipes

Connect Google Analytics with your Shopify store using Littledata's server-side tracking. Follow the recipes below.

Emfas + Google Analytics

Accurate category reports in Google Analytics with clean Emfas taxonomy

Analyze product attribute performance in Google Analytics

Drill down by subcategory from Emfas in Google Analytics

How it works