Adobe Commerce (Magento) stores often struggle with complex product structures and fragmented feeds. This guide explains how to scale catalog ads through better feed control, structured creatives, automation rules, and testing frameworks.
Adobe Commerce (Magento) is built for flexibility and enterprise scale, but that flexibility often creates fragmentation when it comes to advertising.
Catalog ads rely heavily on structured product data, yet most setups struggle with inconsistent feeds, complex product hierarchies, and limited automation across campaigns.
The challenge is not creating catalog ads - it is keeping them structured and scalable over time.
Most issues come from how product data is managed across large catalogs.
Product attributes are often distributed across multiple systems, custom modules, or extensions. This makes it difficult to maintain consistency in product feeds.
As catalogs grow, feed logic becomes harder to manage, and small inconsistencies begin to impact ad delivery and performance.
Another issue is creative repetition. Even with a strong product catalog, many teams rely on static templates that do not reflect product segmentation or pricing structure.
Finally, campaign updates are often slow due to internal dependencies, which limits how quickly teams can react to performance changes or seasonal shifts.
For a deeper understanding of catalog structure and scaling principles:
https://www.campaignbuilder.io/blogs/the-complete-guide-to-dynamic-product-ads-that-actually-scale
https://www.campaignbuilder.io/blogs/catalog-ads-that-scale-your-product-marketing-automatically
In Adobe Commerce, scaling starts with feed consistency.
Rather than exporting raw product data, feeds should be structured with normalized attributes across the entire catalog.
This includes consistent naming conventions, standardized product attributes, and clearly defined category hierarchies.
Custom labels are especially important because they allow segmentation across large product sets, enabling better control over campaign structure and budget allocation.
A structured feed also reduces dependency on manual adjustments when product data changes.
Helpful resources:
https://www.campaignbuilder.io/help/connect-your-catalog-to-meta
https://www.campaignbuilder.io/help/set-up-dynamic-rules-and-fallbacks-in-your-product-feed
Most Adobe Commerce catalog ads rely on static layouts that do not adapt to product or performance differences.
To scale effectively, creatives need to reflect product structure dynamically. This includes adapting messaging based on product type, pricing signals, and availability.
Instead of treating all products equally, creative systems should highlight differences in value, urgency, and category relevance.
Campaign Builder’s catalog ad system is designed to support this type of dynamic structure:
https://www.campaignbuilder.io/products/catalog-ads
More context on catalog creative strategy:
https://www.campaignbuilder.io/blogs/creating-effective-catalog-ads-boost-product-marketing-at-scale
https://www.campaignbuilder.io/blogs/catalog-ads-optimization-tips-maximize-performance
In enterprise environments, testing often slows down due to internal processes.
However, without structured testing, scaling becomes guesswork.
Testing should focus on creative variations, product segmentation strategies, and messaging hierarchy across different catalog groups.
Even small changes in structure can lead to significant improvements in performance consistency across large catalogs.
Adobe Commerce catalogs often require frequent updates due to inventory changes, promotions, and seasonal campaigns.
Without automation, this creates a bottleneck in campaign performance.
Using dynamic rules and fallback logic allows campaigns to automatically adapt to changes in product data, ensuring ads remain relevant without manual intervention.
Campaign Builder supports rule-based automation for this type of setup:
https://www.campaignbuilder.io/help/set-up-dynamic-rules-and-fallbacks-in-your-product-feed
Scaling catalog ads requires alignment across three layers:
When these operate separately, scaling becomes inefficient and inconsistent.
When unified, Adobe Commerce stores can manage large catalogs with predictable performance outcomes.
More on scaling systems:
https://www.campaignbuilder.io/blogs/stop-managing-ads-in-silos-start-scaling-smarter
Start by auditing your product data structure and ensuring consistency across all attributes and categories.
Then connect your catalog properly to Meta:
https://www.campaignbuilder.io/help/connect-your-catalog-to-meta
Next, implement structured feed rules to ensure consistency across large product sets.
After that, transition from static catalog templates to dynamic creative systems.
Finally, introduce structured testing cycles and automate seasonal and pricing updates.
Adobe Commerce scaling depends heavily on feed structure and consistency.
Fragmented product data limits campaign performance.
Static creatives reduce differentiation across large catalogs.
Structured testing improves long-term performance stability.
Automation is essential for managing enterprise-level complexity.
Campaign Builder helps structure product feeds, generate dynamic catalog creatives, and automate campaign scaling across large and complex product catalogs.
