Complexity Specialists
Google Ads for 10,000+ SKU catalogues
Generalist agencies run from high-SKU accounts. We built systems specifically for them. When you have thousands of products, you need automation with constraints, not just automation.
The core challenge is not managing more products - it is deciding which products deserve attention and which should be left alone. That is a commercial decision, not a technical one.
10k+
SKUs Managed
47%
Avg Waste Reduction
2.3x
Avg POAS Improvement
£320k
Annual Profit Lift
SKU Profit Distribution
Real-time SKU segmentation by contribution margin
2
£22.8k
1
£11.4k
1
£1.4k
2
£-560
| SKU | Revenue | Profit | Margin | Action |
|---|---|---|---|---|
| SKU-001 | £45.0k | £9.0k | 20% | Scale |
| SKU-002 | £38.0k | £11.4k | 30% | Protect |
| SKU-003 | £28.0k | £1.4k | 5% | Recover |
| SKU-004 | £22.0k | £-1.1k | -5% | Pause |
| SKU-005 | £55.0k | £13.8k | 25% | Scale |
| SKU-006 | £18.0k | £540 | 3% | Pause |
Updated in real-time from your feed data. Segments based on contribution margin thresholds.
The 80/20 Problem
The 80/20 problem in high-SKU accounts
In nearly every large catalogue account we audit, the distribution follows a predictable pattern. Understanding this pattern is the foundation of high-SKU management.
| Tier | SKUs (of 10k) | Revenue % | Profit % | Action |
|---|---|---|---|---|
| Top 5% | 500 | 35% | 55% | Scale aggressively - these are your profit engines. Maximise impression share and bid for position. |
| Next 15% | 1,500 | 30% | 30% | Protect - profitable and stable. Maintain current targets, monitor for decline, but don't over-invest. |
| Middle 30% | 3,000 | 25% | 12% | Recover - marginally profitable or break-even. These need margin improvement or bid reduction to become sustainable. |
| Bottom 50% | 5,000 | 10% | 3% | Pause from paid - these products consume 40% of your budget but generate 3% of your profit. They should exist on your site but not in your ad account. |
The Problem
Why high-SKU accounts fail with generalist agencies
Most agencies optimise for simplicity. High-SKU accounts require embracing complexity - and building systems that manage it.
Feed Management at Scale
With 10,000+ SKUs, manual feed management is impossible. You need automated systems that still allow strategic control - rules that promote profitable products and suppress losers without human intervention for every decision.
Algorithm Dilution
Google's algorithms spread budget too thin across thousands of products. High performers get starved, low performers waste spend. A 10,000 SKU account with no segmentation gives each product an average of £1.50/day - not enough data for any product to optimise properly.
Multi-Currency Complexity
Selling across markets means currency fluctuations, regional pricing, and feed localisation challenges. A product profitable at £45 in the UK may be loss-making at €52 in Germany after VAT, shipping, and returns adjustments.
Category Cannibalisation
Similar products compete for the same queries. Without category-level strategy, you are bidding against yourself. Ten black dresses from different brands all targeting 'black midi dress' means you pay auction inflation on your own inventory.
Worked Example
Home & Garden Retailer - 12,400 SKUs
What happens when you stop advertising every product and start advertising the right products.
Before: Flat Structure
After: Tiered Architecture (Month 3)
The Insight
By reducing the active catalogue from 12,400 to 3,800 SKUs and concentrating spend on profitable products, total revenue dropped 8% but profit increased by £18,200/month. The 8,600 paused products continued selling through organic traffic - they just stopped consuming ad budget.
Our Capabilities
How do you manage Google Ads for 10,000+ SKUs?
Four core capabilities that make high-SKU accounts profitable.
- SKU-level profit segmentation - Tag every product with contribution margin for intelligent bidding.
- Automated feed governance - Rules-based systems that promote winners and suppress losers.
- Category-level strategy - Different approaches for different product categories.
- Real-time monitoring - Dashboards surfacing actionable insights from thousands of data points.
SKU-Level Profit Segmentation
Every product tagged with contribution margin via custom labels. Products are assigned commercial roles (Scale, Protect, Recover, Pause) and bid targets are calibrated to each product's break-even ROAS.
Automated Feed Governance
Rules-based systems that promote winners, suppress losers, and flag anomalies. Products that drop below margin thresholds are automatically demoted. Stock-outs trigger instant suppression. New products enter a testing tier.
Category-Level Strategy
Different approaches for different product categories - not one-size-fits-all. Your accessories strategy (high margin, high volume, low AOV) should look nothing like your furniture strategy (low margin, low volume, high AOV).
Real-Time Performance Monitoring
Dashboards that surface actionable insights from thousands of SKU data points. Automated alerts flag when products shift tiers, when CPAs spike, or when conversion rates drop below category benchmarks.
Sector-Specific
High-SKU management by sector
Different catalogue structures require different approaches. What works for fashion does not work for home furnishings.
Fashion & Apparel (5,000-50,000 SKUs)
The Challenge
Seasonal rotation means 30-40% of your catalogue changes every 3 months. New products have no conversion data. Old products carry historical data that's no longer relevant. Variant sprawl (same product in 8 colours × 6 sizes = 48 SKUs) fragments your data.
Our Approach
Automated seasonal tier rotation with new product testing budgets. Variant-level consolidation in reporting (aggregate performance by style, not by individual variant). Fast-track testing for new season products using category-level benchmarks as starting targets.
Home & Living (2,000-15,000 SKUs)
The Challenge
Extreme price range spread (£5 candle vs £3,000 sofa) means a single ROAS target is meaningless. Delivery costs vary wildly by product size. Long consideration cycles on high-value items mean attribution windows miss most conversions.
Our Approach
Price-band campaign isolation with margin-adjusted targets. Delivery cost integration into POAS calculations. Extended attribution modelling for high-AOV categories with 30+ day consideration windows.
Multi-Brand Retail (10,000-100,000 SKUs)
The Challenge
Brand-level conflicts where the same search term could serve products from 5 different brands in your catalogue. Vendor co-op budgets create perverse incentives to advertise brands that fund ads, not brands that generate profit.
Our Approach
Brand-level profit analysis separating organic brand strength from paid incrementality. Vendor co-op budget isolation so subsidised advertising doesn't cannibalise profitable organic sales. Cross-brand cannibalisation modelling to prevent bidding against yourself.
Specialisms
Technical complexity keywords we own
How do you manage Google Ads for brands with 10,000+ SKUs?
TLDR: Automated margin-based segmentation with rules that promote profitable SKUs and suppress losers.
High-SKU advertising requires automated feed governance with strategic override. Products are tagged with contribution margin via custom labels and assigned commercial roles (Scale, Protect, Recover, Pause). Rules-based systems promote winners, suppress losers, and flag anomalies - products below margin thresholds are automatically demoted, stock-outs trigger instant suppression.
- Avg. budget per SKU (unsegmented):
- £1.50/day(JudeLuxe)
- SKU performance improvement:
- 35-60%(Client data)
Why does algorithm dilution happen with large product catalogues?
TLDR: Without segmentation, each SKU gets too little data. Margin banding concentrates spend on winners.
Google's bidding algorithms spread budget too thin across thousands of products. A 10,000-SKU account with no segmentation gives each product an average of £1.50/day - not enough data for any product to optimise properly. High performers get starved while low performers waste spend. Category-level strategy and margin-banded segmentation concentrate budget where it generates profit.
Frequently Asked Questions
Managing large catalogues profitably
Case Study
Multi-Brand Retailer: 15,000+ SKUs
15,000+ SKUs across multiple brands with no unified view of which products deserved spend. We built custom product scoring and segmented into 5 commercial tiers.
£320k
Annual profit lift
2.3x
Margin improvement
47%
Waste reduction
Managing 5,000+ SKUs?
Book a catalogue assessment. We will show you which SKUs are making money, which are wasting it, and what to do about it - with worked numbers for your specific catalogue.
Book Catalogue Assessment