Yes, but only if you're disciplined about separating client data, structure, and optimization signals. Here’s how to do it right:
Use a separate Meta Ad Account per client
Each brand should have its own ad account under its dedicated Business Manager. This keeps campaign data isolated and ensures accurate AI optimization within Meta's Advantage+ system.
Implement a unique Meta Pixel for every client
Never share pixels across websites. Each client’s site must fire its own events (like AddToCart or Purchase) for the AI to correctly map user behavior and train its algorithm.
Avoid data blending across clients
Don’t reuse creatives, audiences, or product feeds between accounts. Meta’s machine learning optimizes based on behavioral signals—mixing data can confuse the system and reduce performance.
Separate catalogs and Dynamic Creative assets
If using Catalog Sales or Dynamic Creatives, make sure each catalog is tied exclusively to the brand it represents. Cross-branding confuses the delivery algorithm.
Maintain privacy and compliance
From a legal and strategic standpoint, separating data protects client confidentiality and adheres to Meta’s platform policies.
Pro Tip: Keep your white-label systems modular and track performance per brand using third-party tools like Looker Studio, Supermetrics, or custom dashboards.