Asset Group Structure for Multi-Category Retailers
When you sell furniture and fashion, electronics and home decor, a single asset group can't serve every audience. But too many fragments your data.
The Structure Problem
Multi-category retailers face a fundamental tension in PMax: consolidation gives the algorithm more data to learn from, but relevance requires category-specific creative and audiences.
A furniture lifestyle image makes no sense when Google shows it to someone searching for electronics. But splitting into too many asset groups starves each one of the conversion data needed for effective learning.
The Balance
Each asset group needs enough conversion volume to learn effectively (roughly 30+ per month). But creative and audience signals need to be coherent enough that the algorithm can optimise delivery.
The Consolidation Trap
Google recommends consolidation, and it's often the right advice for small advertisers. But for multi-category retailers, pure consolidation creates problems:
- Irrelevant creative shown to category-specific audiences
- Audience signals that confuse rather than clarify intent
- Budget allocation that favours high-volume categories at the expense of profitable niches
- Reporting that obscures category-level performance
The Over-Consolidation Signal
If your PMax campaign's product performance is wildly uneven, with some categories getting all the impressions while others get none, over-consolidation may be suppressing profitable segments.
Segmentation Approaches
There are several ways to segment asset groups:
- By product category: Furniture, electronics, fashion each get their own asset group with category-specific creative.
- By customer intent: Gift buyers, self-purchasers, and B2B customers may respond to different messaging regardless of product.
- By price tier: Premium and value segments often need different creative approaches and audience targeting.
- By margin profile: High-margin and low-margin products may need different bidding targets and budget allocation.
Most multi-category retailers start with product category segmentation, then layer in margin-based differentiation as they scale.
Practical Structure
For a typical multi-category retailer, this structure works:
- One PMax campaign to allow budget fluidity across categories
- 3-5 asset groups based on major product categories
- Category-specific creative in each asset group (images, video, headlines that make sense for that category)
- Listing groups that map products to the appropriate asset group
Listing Group Alignment
Every product should be in exactly one asset group's listing group. Overlapping products between asset groups causes internal competition and makes performance analysis unreliable.
Managing Complexity
As you add asset groups, management complexity increases. Keep it sustainable:
- Use naming conventions that make reporting clear
- Schedule regular reviews of underperforming asset groups
- Consolidate asset groups that consistently underperform due to low volume
- Document the logic behind segmentation so it can be maintained over time
The Minimum Threshold
If an asset group consistently generates fewer than 20-30 conversions per month, consider consolidating it with a related group. The relevance benefit is outweighed by insufficient learning data.
Next Steps
Structure should follow strategy. Define your category priorities and margin requirements first, then build asset group structure that supports those goals.