Optimise Meta Ads for a single brand with Emfas

Send Emfas data to Meta with Littledata's server-side tracking.

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.

  1. Emfas logo

    A brand-filtered conversion event

    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.

  2. Meta logo

    A campaign trained on buyers of that 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.

The Emfas data you can target

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
The data layer for Shopify
Littledata unifies browser and server events into one consistent data layer across all your marketing channels, including Shopify Markets, subscriptions, and metafields.
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The data layer for Shopify
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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 →