Product Enrichment

This guide helps you implement product data enrichment directly on the server side, adding business value to your feeds without impacting performance.

1. Business Value: Why enrich your product feeds?

Server-side product enrichment allows you to reconcile a simple identifier (SKU, product ID) captured on the site with rich attributes stored in your catalogue (margin, category, stock level).

• Maximum Web Performance: You lighten your client DataLayer, the addition of details (name, price, category) is done on the server side.

• Profitability-driven management (POAS): By injecting the actual margin in real time, you optimise your advertising bids based on the profit generated rather than on gross revenue.

• Confidentiality & Security: Sensitive data (margins, stock levels) is never exposed in the user's browser.

2. Implementation methodology in Platform X

Step A: Preparing the product data source

Make your product catalogue accessible to the platform to serve as a lookup database.

• Documentation: Product catalogue

Step B: Configuring Event Enrichment

Link the product identifier received in the event (e.g. product_id) to the attributes in your catalogue.

• Documentation: Configure Event Enrichment..

Step C: Normalisation with Data Cleansing (Optional)

Use this module to format the enriched data or perform last-minute calculations before sending.

• Documentation: Use Data Cleansing to transform your data.

Step D: Destination Configuration

For enrichment to be useful, you must configure the connector that will receive this data (e.g. Meta CAPI, Google Ads, TikTok).

Choose your connector from the Destinations Catalogue and link it to your server-side source.

• Documentation: Destination Catalogue | Commanders Act X

Step E: Validation via the Event Inspector

Check in real time that the enriched properties are present in the outgoing flow to your destination.

• Documentation: Destination Event Inspector

3. Typical use cases

1. Optimising POAS (Profit on Ad Spend): Send the sum of the margins of the products purchased rather than the gross turnover. This helps algorithms (Meta/Google) target the most profitable buyers.

2. Dynamic Media Stock Management: Add the stock level to your product views. If stock is critical, trigger an emergency purchase or cut off advertising to avoid paying for out-of-stock items.

3. Advanced merchandising analysis: Retrieve the complete category hierarchy (e.g. Sport > Running > Shoes) to automatically segment your advertising audiences by product universe.

Need help with implementation?

Our experts are here to assist you with configuring your product enhancements. Contact our support team: [email protected]