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

Emfas is an AI-native product information management (PIM) platform that centralizes product data, media, and distribution, enabling brands and retailers to automate catalog enrichment, quality control, and multi-channel publishing. It offers integrations with major e-commerce platforms, supports workflow automation, and ensures consistent, on-brand, and SEO-optimized product content at scale for fast-growing businesses.

Klaviyo

Browse abandonment is your highest-volume flow, and a generic "still thinking it over?" wastes it. The products someone views tell you what they care about: sensitive skin, organic cotton, gluten-free. Klaviyo cannot read product metafields on events natively. Littledata is the no-code bridge that puts your PIM data to work in your flows.


Branch Klaviyo browse abandonment flows on product attributes

Optimise Meta Ads for a single brand with Emfas

Optimizing on all purchases trains Meta toward whoever converts cheapest and not necessarily the products you want to grow. Your Emfas data already defines which products matter: by category, margin tier, brand, or collection. Turn that catalogue enrichment into a training signal for Meta's algorithm to find buyers of the products worth selling more of.


Optimize Meta Ads for your winning products

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

Emfas Recipes

Connect Emfas 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

Emfas + Meta

Optimise Meta Ads for a single brand with Emfas

Optimize Meta Ads for your winning products

Emfas + Klaviyo

Branch Klaviyo browse abandonment flows on product attributes

How it works

What is Emfas?