Log in with GoogleContribution profit per product
Check product and order costs alongside ad spend to see what each sale leaves.
The operating system of ecommerce
Maximise product performance. Grow your ecommerce profit.
See what each product earns in Google Shopping and Performance Max. Check its journeys, competitor prices, margin and stock before deciding what to push, fix or pause.
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Step 1 of 4: Segment
Interactive: click to explore
1. Segment. Product Metrics ML segmented 12,400 products. Return: POAS, target 2. 2. Product. Nike Pegasus 42: 4,820 clicks, POAS 1.4 against a 2 target. On ads data alone, the playbook says lower its priority. 3. Context. Context says: Star candidate. Ads alone said: lower priority. Journeys, margin and stock say push. Price position is labelled, never changed. 4. Action. Rules run after segmentation and write labels to your Merchant Center feed. Rule “Promote Star candidates”: when POAS ≥ 1.4, margin ≥ 40% and stock cover > 8 weeks, set custom_label_0 to star_candidate.
| Product Segment | Products | Price Ratio | Seasonality | Spend | Impressions | Imp. Share | CPM | Clicks | CPC | CTR | Conversions | Revenue | CVR | ROAS | Revenue less ad spend | % of Total Revenue | % of Total Spend | % of Total Products |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Stars | 806 | 0.94 | High, 1.4× | €28,704 | 2,601,300 | 71.8% | €11.03 | 62,431 | €0.46 | 2.40% | 2,247 | €184,236 | 3.60% | 6.42 | €155,532 | 48.07% | 27.86% | 6.50% |
| Question Marks | 1,254 | 1.06 | Medium, 1.2× | €35,182 | 3,682,400 | 64.2% | €9.55 | 71,806 | €0.49 | 1.95% | 1,723 | €113,748 | 2.40% | 3.23 | €78,566 | 29.68% | 34.15% | 10.11% |
| Cash Cows | 622 | 0.97 | Medium, 1.0× | €5,289 | 806,120 | 58.3% | €6.56 | 12,902 | €0.41 | 1.60% | 555 | €38,871 | 4.30% | 7.35 | €33,582 | 10.14% | 5.13% | 5.02% |
| Dogs | 1,543 | 1.14 | Low, 0.8× | €25,652 | 3,429,500 | 61.5% | €7.48 | 58,302 | €0.44 | 1.70% | 641 | €43,612 | 1.10% | 1.7 | €17,960 | 11.38% | 24.90% | 12.44% |
| Drainers | 4,914 | 1.18 | Low, 0.7× | €8,208 | 2,700,150 | 42.7% | €3.04 | 21,601 | €0.38 | 0.80% | 39 | €2,808 | 0.18% | 0.34 | -€5,400 | 0.73% | 7.97% | 39.63% |
| Ghosts | 3,261 | 1.12 | Medium, 1.0× | €0 | 0 | N/A | €0.00 | 0 | €0.00 | 0.00% | 0 | €0 | 0.00% | 0 | €0 | 0.00% | 0.00% | 26.30% |
ProductsProduct overview
Trusted by ecommerce teams running Google Shopping at
- DocHorse
- Rajapack
- Soundimports
- FDX.com
- beterwitgoed.nl
- snackje.nl
- 1M+ products analysed
- €750K+ monthly Shopping spend under management
- Founder's work nominated at the Dutch Search Awards: Best Measurement Campaign 2023 · Best Use of Data 2024
Product Segmentation
Six segments for every product. Product Metrics ML segments your products by potential and profitability.
Interactive: click to explore
OptimiseProduct Segmentation
Product Segmentation
Volume is ad clicks. Return is ROAS or POAS against your target; here POAS, target 2.
12,400 products segmented
| Segment | Products | POAS |
|---|---|---|
| Stars | 806 | 2.82 |
| Question Marks | 1,254 | 1.42 |
| Cash Cows | 622 | 3.23 |
| Dogs | 1,543 | 0.75 |
| Drainers | 4,914 | 0.15 |
| Ghosts | 3,261 | — |
Stars
806 productsVolume: ad clicksHighReturn: POASAbove targetHigh volume, high return. Proven winners that draw clicks and beat your target.
What to doScale budgetcustom_label_0: starsQuestion Marks
1,254 productsVolume: ad clicksHighReturn: POASJust under targetHigh volume, medium return. Plenty of clicks, return just under target.
What to doTest price & feedcustom_label_0: question_marksCash Cows
622 productsVolume: ad clicksLowReturn: POASAbove targetLow volume, high return. Efficient products that lack reach.
What to doProtect & grow reachcustom_label_0: cash_cowsDogs
1,543 productsVolume: ad clicksHighReturn: POASBelow targetHigh volume, low return. They soak up clicks without paying back.
What to doLower priority / fix pagecustom_label_0: dogsDrainers
4,914 productsVolume: ad clicksLowReturn: POASNo returnLow volume, no return. Spend with nothing to show for it.
What to doExclude or pausecustom_label_0: drainersGhosts
3,261 productsVolume: ad clicksNo impressionsReturn: POASNothing to measureInactive: no impressions, no clicks. Google is not showing them.
What to doReactivate or clean feedcustom_label_0: ghosts
Check what your advertising leaves after product and order costs. POAS calculator.
Competitor Prices
Compare your products against your competitors. Review options and prices like your customers do.
Interactive: click to explore
MarketMatching pipelineIB1873-007
Match on
Event lognike.com/nl · example run
- 09:12ProductIB1873-007 · Nike Pegasus 42 · €139.99 list price
- 09:12Dims6 approved · use, cushioning, drop, plate, weight, colour
- 09:13Scanadidas.nl · own-brand daily trainers · 3 candidates
- 09:13Scaneu.puma.com/nl · own-brand daily trainers · 3 candidates
- 09:14Match4 comparable (≥75% of dimensions) · 2 near-miss
- 09:14Positionposition 4 of 5 · ratio 1.08 · difference +€10.01 vs median €129.98
- 09:14LabelIB1873-007 · custom_label_2: above_median
Pegasus 42 · marketContext added
Match key6 dimensions
Sites scanned2 of 2
Comparable4 of 6
Price position4 of 5
Price difference+€10.01
Price position becomes a Merchant Center label your rules can use.
| Step | Match on GTIN | Match on your dimensions |
|---|---|---|
| Product | Start from the Nike Pegasus 42 at its €139.99 list price. | Start from the Nike Pegasus 42 at its €139.99 list price. |
| Match key | Match on GTIN: the Pegasus barcode is Nike’s own. | Match on the dimensions you approved, not on a barcode. |
| Scan sites | Both sites are scanned. No product carries the Pegasus GTIN. | adidas.nl and eu.puma.com/nl are scanned for own-brand daily trainers. |
| Match | Zero matches. GTIN tools stop here for every own-brand product. | Comparable trainers are matched. Near-misses stay visible with the reason. |
| Position & label | No price position, so no market context reaches Google Ads. | Price position becomes a Merchant Center label your rules can use. |
Price position 4 of 5: 3 of 4 comparable trainers cost less. Price ratio 1.08, price difference +€10.01 against the €129.98 median. Context for performance; the pricing call stays yours.
Full Signal Tracking
Server-side, adblocker-proof conversion tracking. Full Signal gets through every adblocker, and auto-rotates if its endpoint is ever blocked.
Interactive: click to explore
WorkspaceTrackingFull Signal active
Flow A: default tag
- 12:04googletagmanager.com, Google Ads tag loaded200 OK
- 12:06googletagmanager.com, ERR_BLOCKED_BY_CLIENTBlocked
- 12:06No fallback: the purchase never leaves the browserNo path
- 12:09Order 10482, €139.99, never reaches Google AdsLost
Product Metrics: Full Signal Tracking
- 12:04POST /x7Kq2mVd9RtB4wLp, gclid Cj0KQ…x7Rw kept200 OK
- 12:06Purchase to your unique endpoint, adblocker onPassed
- 12:06Auto-rotation: fresh endpoint only if ever blockedStandby
- 12:09Google Ads: Purchase, order 10482, €139.99Delivered
Flow A loses the Pegasus 42 order. Flow B delivers it with value, order ID and click ID.
- Adblocker on
- Filter lists block the default Google Ads tag. Your unique endpoint on nike.com passes.
- Rotation on standby
- Auto-rotation swaps in a fresh endpoint only if this one is ever blocked.
- Signal kept
- The default tag loses the Pegasus 42 order. Full Signal Tracking delivers it with value, order ID and click ID.
Illustrative data. Example with Nike products; Product Metrics is not affiliated with Nike, adidas or PUMA. Endpoint paths and click IDs are examples.
Product Context
Leverage AI with product context. Get Prioritized actions based on Advertising, Web Analytics, Price, Margin and Inventory Data.
On its own, Pegasus 42 is a Question Mark: 4,820 clicks at POAS 1.4 against a 2 target.
From ad click to purchase, per product. Sessions that land on Pegasus 42 go on to buy Everyday Cushioned socks and the Miler running top. Last-click POAS misses that basket.
Matched on use, cushioning, drop, plate, weight and colour: PUMA Electrify NITRO 4 €99.95, PUMA Velocity NITRO 5 €129.95, adidas Adizero SL2 ≈ €130.00 and adidas Supernova Rise 3 ≈ €150.00. Pegasus 42 sits €10.01 above the €129.98 median, cheaper than 1 of 4.
A 44% margin puts break-even ROAS at 2.27. At 3.18 today, every sale already makes money.
1,240 pairs, about 16 weeks of cover. Enough stock to carry more demand.
Inventory. 1,240 pairs, about 16 weeks of cover. Enough stock to carry more demand.
Interactive: click to explore
ProductsNike Pegasus 42Star candidate
Nike Pegasus 42IB1873-007, €139.99
Product Context5 of 5 layers
- Advertising
- POAS 1.4 vs target 24,820 clicks, €2,420 cost, last 30 days
- Journeys
- Entry product for socks and topsNext buys: Everyday Cushioned socks, Miler top
- Market
- €10.01 above the €129.98 median4 comparable adidas and PUMA trainers, cheaper than 1 of 4
- Margin
- 44% marginBreak-even ROAS 2.27, current ROAS 3.18
- Inventory
- 1,240 pairs, ≈16 weeks of coverEnough stock to carry more demand
Decision
Push, Star candidate
Enough stock for more demand. Every layer points the same way: push.
- custom_label_0
- star_candidate
- custom_label_2
- above_median
How it works
Get setup in 3 steps. Connect your accounts, review your products and choose what to act on.
- Step 1
Log in and connect your accounts
Sign in with Google and connect Google Ads, Merchant Center and your shop. GA4 is optional. No credit card.
- Step 2
See every product in context
Machine learning groups products by ad clicks and return. Check journeys, prices, margin and stock to understand the result.
- Step 3
Push, fix or pause
Segments and rules become Merchant Center labels that your campaigns use.
Compare
The only platform that connects segmentation, product journeys, competitor prices and stock in one workflow. Other tools see one slice.
Compare Product Metrics with
Google Ads native reporting
| Capability | Product Metrics | Google Ads |
|---|---|---|
| Product-level segmentation into six segments | Yes | No |
| Machine learning, not static rules | Yes | No |
| POAS and LTV as metrics | Yes | Partly, with manual work |
| Labels to Merchant Center automatically | Yes | No |
| Product journeys and cross-sell | Yes | No |
| Competitor prices with own-brand matching | Yes | Partly, with manual work |
| Stock and inventory context | Yes | No |
| Server-side tracking with auto-rotation | Yes | No |
| Updates daily without maintenance | Yes | Yes |
| Setup without dev work | Yes | Yes |
Profit tools POAS trackers
| Capability | Product Metrics | Profit tools |
|---|---|---|
| Product-level segmentation into six segments | Yes | No |
| Machine learning, not static rules | Yes | No |
| POAS and LTV as metrics | Yes | Yes |
| Labels to Merchant Center automatically | Yes | Yes |
| Product journeys and cross-sell | Yes | No |
| Competitor prices with own-brand matching | Yes | No |
| Stock and inventory context | Yes | No |
| Server-side tracking with auto-rotation | Yes | Partly, with manual work |
| Updates daily without maintenance | Yes | Yes |
| Setup without dev work | Yes | Partly, with manual work |
Feed management tools
| Capability | Product Metrics | Feed management tools |
|---|---|---|
| Product-level segmentation into six segments | Yes | Partly, with manual work |
| Machine learning, not static rules | Yes | No |
| POAS and LTV as metrics | Yes | No |
| Labels to Merchant Center automatically | Yes | Yes |
| Product journeys and cross-sell | Yes | No |
| Competitor prices with own-brand matching | Yes | Partly, with manual work |
| Stock and inventory context | Yes | Partly, with manual work |
| Server-side tracking with auto-rotation | Yes | No |
| Updates daily without maintenance | Yes | Yes |
| Setup without dev work | Yes | Yes |
Custom scripts
| Capability | Product Metrics | Custom scripts |
|---|---|---|
| Product-level segmentation into six segments | Yes | Partly, with manual work |
| Machine learning, not static rules | Yes | No |
| POAS and LTV as metrics | Yes | Partly, with manual work |
| Labels to Merchant Center automatically | Yes | Partly, with manual work |
| Product journeys and cross-sell | Yes | No |
| Competitor prices with own-brand matching | Yes | No |
| Stock and inventory context | Yes | Partly, with manual work |
| Server-side tracking with auto-rotation | Yes | No |
| Updates daily without maintenance | Yes | Partly, with manual work |
| Setup without dev work | Yes | No |
Spreadsheets
| Capability | Product Metrics | Spreadsheets |
|---|---|---|
| Product-level segmentation into six segments | Yes | Partly, with manual work |
| Machine learning, not static rules | Yes | No |
| POAS and LTV as metrics | Yes | Partly, with manual work |
| Labels to Merchant Center automatically | Yes | No |
| Product journeys and cross-sell | Yes | Partly, with manual work |
| Competitor prices with own-brand matching | Yes | Partly, with manual work |
| Stock and inventory context | Yes | Partly, with manual work |
| Server-side tracking with auto-rotation | Yes | No |
| Updates daily without maintenance | Yes | No |
| Setup without dev work | Yes | Yes |
Based on what each kind of tool typically offers. “-” means possible with manual work, extra tools or code you maintain; “—” means not available.
For owners and CFOs
Ad spend, in the language of profit. One number for your PPC team and your finance team.
Less spend on Drainers
Lower priority on products that return nothing; increase it on Stars that pay back.
Capital not stuck in slow stock
Push what’s in stock; stop advertising what can’t ship.
Pricing
Your first €10K of Shopping spend is free, every month. Above that, a graduated share of your rolling 30-day spend.
The rate drops as you grow. No minimum, no seats. Prices excl. VAT.
The free analysis needs no card; the 30-day trial does.
Agencies: every client account gets its own free €10K.
Worked example
€50,000 Shopping spend per month
| First €10,000 | free | €0.00 |
|---|---|---|
| Next €15,000 | × 0.65% | €97.50 |
| Next €25,000 | × 0.60% | €150.00 |
| Per month, excl. VAT | €247.50 | |
Questions buyers ask first. Anything else? Ask Berend.
How does Product Metrics decide a product’s segment, and do segments stay stable?
Machine learning places each product in one of six segments by volume (ad clicks) and return (ROAS or POAS against your target). Minimum-click thresholds keep segments stable from week to week. Product rules and your own Product Score (0–100) keep you in control.
Do I need margin data?
No. Product Metrics works on ROAS right away. Connect your margins to switch to POAS.
What do I connect, and how much setup is it?
Connect your own Google account, or your MCC. Product Metrics reads your data and writes only the labels you approve. Works with Shopify, WooCommerce, Magento, Lightspeed and Shopware 6, for 500 to 50,000 products on Performance Max and standard Shopping.
How is this different from feed-label tools, feed rules, scripts or building it ourselves?
Labels are one output. Product Metrics connects ML segmentation with journeys, competitor prices, stock and margin, so you see why a product performs. Labels reach Merchant Center without feed rules to maintain.
Can I trust my tracking and GA4 data?
Default tags lose conversions to adblockers and privacy rules. Full Signal Tracking gets through every adblocker, and auto-rotates its endpoint if it is ever blocked. It is included in Pro, not billed separately.
Can I compare competitor prices without a shared GTIN?
What does it cost, and what is free?
A graduated share of your rolling 30-day Google Shopping spend, excl. VAT, no minimum. The first €10K is free; €50,000 a month costs €247.50. The free analysis needs no card; the 30-day trial does, and cancelling during the trial costs nothing. Each agency client account gets its own free €10K.
Is Product Metrics an attribution tool?
No, Product Metrics is not an attribution tool. It explains product performance: what each product sells after the click, next to its competitor prices, margin and stock.
See which of your products to push, fix or pause. Start with your own products, or a 30-second estimate.
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