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Competitor assortment tracking across marketplaces, Google Shopping and web shops
Competitor catalogue assortment tracking shows which products rivals sell, when they add or remove SKUs, and where your range is thin or strong. It covers marketplaces, Google Shopping and direct web shops (retailers and D2C brand sites). Used well, it reveals overlap, white space and new-in momentum so you can act early and grow profitably.
Table of content
What is assortment tracking in plain terms?
You monitor the exact products that named competitors sell, SKU by SKU, across channels. You compare their range to yours and look for three things: overlap you must defend, white space you can enter, and trend shifts such as rapid new launches or quiet exits. Repeat this weekly or monthly so you do not miss turning points.
Channels to include
- Marketplaces: Amazon, Zalando, Cdiscount, OTTO, eBay, Bol, Allegro and others.
- Google Shopping: product ads and free listings that expose catalogue breadth by country.
- Web shops: retailer and brand D2C sites. Track category (PLP) and product (PDP) pages.
When should you use it?
- Category expansion: identify subcategories, brands or price bands to add next.
- Range rationalisation: retire slow lines and double down on proven winners.
- Seasonal planning: see which variants competitors launch for peak and how fast they scale.
- Supplier negotiations: evidence gaps or exclusivity opportunities with facts.
Data you need
- Accurate product matching: prefer GTIN/MPN or identical attributes. Avoid near matches.
- Normalised taxonomy: shared brand and category trees across channels.
- Channel signals: availability and price band by marketplace, Shopping and web shop.
- Web shop structure: PDP/PLP URLs, canonical tags, and schema.org/Product JSON-LD (title, brand, GTIN, offers, availability) to improve identification.
- Timestamps: when SKUs appear, disappear or return by channel and country.
Metrics that matter
| Metric | What it means | How to calculate |
|---|---|---|
| Assortment overlap rate | Share of your SKUs that at least one key competitor also sells | Overlapping SKUs ÷ Your active SKUs |
| White space count | Competitor SKUs you do not carry | Competitor active SKUs − Your active SKUs (matched) |
| Channel presence matrix | Where competitors list: marketplace only, web shop only, both | Count SKUs by channel type and compare shares |
| Depth on hero lines | Variant coverage versus market (size, colour, capacity) | Your variants ÷ Variants offered in market |
| New-in rate | How fast a competitor adds range | SKUs first seen in period ÷ Active SKUs |
| Exit rate | How fast SKUs disappear from a competitor’s range | SKUs that went inactive ÷ Active SKUs |
| Price ladder coverage | Presence across entry, mid and premium bands | SKUs per band ÷ Total SKUs |
Methods that work across channels
- Exact matches first: use GTIN or identical attributes before any fuzzy logic.
- Normalise names: unify brand and category naming to avoid false gaps.
- Web shop parsing: extract PDP JSON-LD (schema.org/Product) and respect canonical URLs to reduce duplicates.
- PLP sampling: crawl paginated category pages to reveal full range, then reconcile with PDPs.
- Change detection: track new in, back in stock, out of stock and discontinued events by channel.
- Price context: map each SKU to a band so you do not chase gaps with weak margin.
- Compliance: use publicly available data, follow robots.txt and site terms, and apply sensible request rates.
Alert rules you can use from day one
| Trigger | Condition | Action | Why |
|---|---|---|---|
| Competitor launches 5+ SKUs on their web shop | You lack those SKUs on any channel | Evaluate supplier shortlist and add 1 starter line | Enter emerging demand early |
| SKU listed on web shop but not on Shopping/marketplaces | D2C only for 14 days | Prepare content and request distribution or exclusivity | Secure access before rivals |
| Overlap above 80% in entry band | Thin margins | Rationalise tail variants and shift budget to mid band | Avoid me-too range with poor ROI |
| Depth below 50% on a hero line | Competitors cover sizes/colours you lack | Add top missing variants first | Win incremental units without full relaunch |
Use cases by team
- Buying and merchandising: build a white space roadmap by subcategory and brand across channels.
- Pricing and revenue: align price bands and promo depth with true market coverage.
- Performance marketing: push Shopping and retargeting to SKUs with unique coverage or deeper variants.
- Marketplace and web shop ops: prioritise attribute enrichment and images for the next 100 SKUs to launch.
10-day plan to operationalise assortment tracking
- Day 1: pick one country and two channels (for example Amazon plus top competitor web shop). Choose 200 SKUs with clear competitor overlap.
- Day 2: confirm product matching at GTIN level and normalise brands and categories.
- Day 3: compute overlap rate, white space count and channel presence matrix.
- Day 4: measure depth for your top 10 hero lines and list missing variants.
- Day 5: tag price bands and identify mid-band gaps with healthy margin.
- Day 6: set alert rules for new-in bursts on web shops and exits on marketplaces.
- Day 7: shortlist two brands or ranges to add and one tail to retire.
- Day 8: prepare content and attributes for the first 50 new SKUs.
- Day 9: launch and monitor diagnostics. Fix rejections quickly.
- Day 10: review results and update the roadmap for the next subcategory.
Common pitfalls to avoid
- Comparing near matches: different packs or bundles distort overlap and pricing.
- Ignoring web shop variants: regional variants and exclusive colours can hide gaps.
- One-off audits: run a monthly or weekly cadence, not a single snapshot.
- Messy taxonomy: inconsistent brand and category names hide real gaps.
Next steps
👉 Learn more about competitor assortment analysis 👉 See product matching for accurate comparisons 👉 Explore competitive intelligence 👉 Request a demo
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