Multi-brand retailers run one Shopify store but sell many brands, and Meta sees only a generic Purchase event, so it optimises for any buyer. When you want to grow one brand specifically, there is no way to tell Meta which purchases count. Emfas already holds your brand attribution. Littledata carries it into the conversion signal, so Meta trains on buyers of the brand you actually want to grow.

Create a new event based on the Purchase event and configured on the Emfas brand metafield. This event fires only when an order contains products from your target brand.

Set the new event as your campaign's optimisation goal, and Meta builds its audience model on buyers of your target brand instead of all purchasers.
Emfas syncs brand attribution to Shopify as metafields and Littledata can read and turn it into a brand-specific conversion signal.
| Data point you can target |
|---|
| Product attributes |
| Product taxonomy |
| Product information |


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 →