High-SKURetail
Feed complexity. Spend concentration. PMAX black-box risk. Inventory drag. When you have thousands of products, the decisions that matter happen at a level most agencies cannot see.
This is what we see. This is how we think about it.
Sector Reality
What we observe in high-SKU accounts.
What breaks in this sector
- Feed complexity creates thousands of products competing for attention
- Spend concentrates on a fraction of SKUs while the rest starve
- Performance Max becomes a black box you cannot audit
- Inventory drag: promoting products that are out of stock or overstocked
Where Google Ads misleads
- ROAS calculated at account level hides SKU-level losses
- Smart Bidding favours easy conversions, not profitable ones
- Shopping campaigns default to best-sellers, ignoring long-tail margin
- Impression share metrics ignore inventory reality
Why ROAS lies here
- High-ROAS products often have the lowest absolute margin
- Promotional SKUs inflate metrics while training the algorithm wrong
- Cross-sell and upsell attribution masks true product profitability
- Feed quality issues create invisible leakage across thousands of products
Common agency failure
Manages at campaign level when the real decisions happen at SKU level. Lets Performance Max consolidate before understanding product-level contribution. Reports on aggregate ROAS while individual product lines bleed. No connection between feed optimisation and commercial priority.
What big agencies optimise
- • Account-level ROAS and CPA
- • Feed completeness and attribute coverage
- • Impression share on category terms
- • Campaign structure for automation
This weakens the business over time because it treats all products as equivalent. Spend concentrates on whatever Google finds easiest to convert, not what the business needs to sell. Inventory builds on slow movers. Margin erodes on fast movers.
Commercial Decisions That Matter
What we constrain, protect, and let scale.
What we constrain
- Spend on low-margin high-volume SKUs
- PMAX consolidation before SKU-level signal clarity
- Promotional dependency that trains the algorithm wrong
- Feed automation that ignores inventory and margin data
What we protect
- Long-tail margin contribution from slow-burn products
- Inventory turnover alignment with ad spend
- SKU-level profitability visibility
- Feed quality as commercial infrastructure
What we let scale
- Products with proven margin and inventory velocity
- Categories with clearance needs and promotional budget
- Search terms with validated SKU-level profitability
- Shopping campaigns with clear contribution hierarchy
Signals We Look For
What tells us risk is rising. What triggers intervention.
Risk indicators
- Top 20 SKUs taking more than 60% of spend
- Inventory aging while best-sellers go out of stock
- PMAX conversion value increasing but margin declining
- Feed errors accumulating without commercial triage
- Return rates spiking on high-spend products
Intervention triggers
- SKU-level ROAS variance exceeds 3x across the catalogue
- More than 15% of spend on out-of-stock products
- Promotional orders exceed 40% of volume
- Feed match rate drops below 85% of active inventory
Fit Assessment
Who this is and is not for.
This applies if
- ✓Monthly spend above £50k with 500+ active SKUs
- ✓Commercial maturity to share margin and inventory data by product
- ✓Decision ownership sits with someone who understands catalogue economics
- ✓Willingness to segment spend by commercial priority, not just ROAS
This does not apply if
- ✗Brands with fewer than 200 active products
- ✗Teams without inventory and margin data at SKU level
- ✗Organisations that cannot update feeds with commercial inputs
- ✗Anyone seeking volume growth without product-level scrutiny
Related Sectors
Related Resources
Further reading for high-SKU retailers.
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