Branch Klaviyo browse abandonment flows on product attributes
Send Emfas data to Klaviyo with Littledata's server-side tracking.
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.
A product-enriched Viewed Product event
Littledata's Event Editor reads the viewed product's Emfas metafield values from Shopify and attaches them to the Viewed Product event sent server-side to Klaviyo at the moment of the view.
A Klaviyo flow that branches on product attributes
Split your browse abandonment flow on the product attribute in the event payload. A shopper who viewed a sensitive-skin moisturizer gets a message that speaks to sensitive skin. A shopper who viewed organic cotton gets a message about materials. Other shoppers get the standard flow.
The Emfas data you can target
Emfas syncs rich product attributes to Shopify as metafields. Littledata can read them on every event and turn them into a segmentation signal.
| Data points you can target |
|---|
| Product attributes |
| Product taxonomy |
| Product information |
The data layer for Shopify
What is 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.
Visit the Emfas website →