---
title: "Product-Level Google Shopping Optimisation | Product Metrics"
description: "See which products to push, fix or pause in Google Shopping and Performance Max. Compare ad performance with journeys, competitor prices, margin and stock."
canonical: "https://www.productmetrics.io/"
pageType: home
language: en
publisher: "Product Metrics"
dateModified: 2026-10-21
image: "https://www.productmetrics.io/og/home.png"
---

> Content index: https://www.productmetrics.io/llms.txt

# 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.

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.

Illustrative data: Performance Summary by Product Segment, last 30 days (12,400 example Nike products). Revenue less ad spend excludes product costs and other variable costs.:

| 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% |

_Illustrative data. Revenue less ad spend excludes product costs and other variable costs. Example with 12,400 Nike products; Product Metrics is not affiliated with Nike, adidas or PUMA._

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

## Six segments for every product. Product Metrics ML segments your products by potential and profitability.

Volume is ad clicks. Return is ROAS or POAS against your target; here POAS, target 2.:

| Segment | Products | Share of products | Price ratio | Seasonality | Ad spend | Revenue | ROAS | POAS | custom_label_0 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Stars | 806 | 6.5% | 0.94 | High, 1.4× | €28,704 | €184,236 | 6.42 | 2.82 | stars |
| Question Marks | 1,254 | 10.1% | 1.06 | Medium, 1.2× | €35,182 | €113,748 | 3.23 | 1.42 | question_marks |
| Cash Cows | 622 | 5.0% | 0.97 | Medium, 1.0× | €5,289 | €38,871 | 7.35 | 3.23 | cash_cows |
| Dogs | 1,543 | 12.4% | 1.14 | Low, 0.8× | €25,652 | €43,612 | 1.7 | 0.75 | dogs |
| Drainers | 4,914 | 39.6% | 1.18 | Low, 0.7× | €8,208 | €2,808 | 0.34 | 0.15 | drainers |
| Ghosts | 3,261 | 26.3% | 1.12 | Medium, 1.0× | €0 | €0 | — | — | ghosts |

_Illustrative data. Example with Nike products; Product Metrics is not affiliated with Nike, adidas or PUMA._

- [POAS calculator](https://www.productmetrics.io/poas-calculator): Check what your advertising leaves after product and order costs.

### Stars

High volume, high return. Proven winners that draw clicks and beat your target.

- **Volume (ad clicks).** High
- **Return (POAS vs target).** Above target
- **Action.** Scale budget
- **Label.** custom_label_0: stars

### Question Marks

High volume, medium return. Plenty of clicks, return just under target.

- **Volume (ad clicks).** High
- **Return (POAS vs target).** Just under target
- **Action.** Test price & feed
- **Label.** custom_label_0: question_marks

### Cash Cows

Low volume, high return. Efficient products that lack reach.

- **Volume (ad clicks).** Low
- **Return (POAS vs target).** Above target
- **Action.** Protect & grow reach
- **Label.** custom_label_0: cash_cows

### Dogs

High volume, low return. They soak up clicks without paying back.

- **Volume (ad clicks).** High
- **Return (POAS vs target).** Below target
- **Action.** Lower priority / fix page
- **Label.** custom_label_0: dogs

### Drainers

Low volume, no return. Spend with nothing to show for it.

- **Volume (ad clicks).** Low
- **Return (POAS vs target).** No return
- **Action.** Exclude or pause
- **Label.** custom_label_0: drainers

### Ghosts

Inactive: no impressions, no clicks. Google is not showing them.

- **Volume (ad clicks).** No impressions
- **Return (POAS vs target).** Nothing to measure
- **Action.** Reactivate or clean feed
- **Label.** custom_label_0: ghosts

## Compare your products against your competitors. Review options and prices like your customers do.

Illustrative data: Nike Pegasus 42 through the same matching pipeline on two match keys:

| 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.

_Example using public list prices from nike.com/nl and eu.puma.com/nl, checked 30 Sep 2026; adidas prices marked ≈ are EU launch prices. Performance data is illustrative. Product Metrics is not affiliated with Nike, adidas or PUMA._

- [Explore Competitor Prices](https://www.productmetrics.io/competitor-prices)

## Server-side, adblocker-proof conversion tracking. Full Signal gets through every adblocker, and auto-rotates if its endpoint is ever blocked.

1. **Adblocker on.** Filter lists block the default Google Ads tag. Your unique endpoint on nike.com passes.
2. **Rotation on standby.** Auto-rotation swaps in a fresh endpoint only if this one is ever blocked.
3. **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._

- [See how Full Signal Tracking works](https://www.productmetrics.io/server-side-tracking)

## Leverage AI with product context. Get Prioritized actions based on Advertising, Web Analytics, Price, Margin and Inventory Data.

1. **Advertising performance.** On its own, Pegasus 42 is a Question Mark: 4,820 clicks at POAS 1.4 against a 2 target.
2. **Product journeys.** 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.
3. **Competitor prices.** 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.
4. **Margin & economics.** A 44% margin puts break-even ROAS at 2.27. At 3.18 today, every sale already makes money.
5. **Inventory.** 1,240 pairs, about 16 weeks of cover. Enough stock to carry more demand.

Nike Pegasus 42 (IB1873-007, €139.99) with all five layers:

| Layer | Value | Detail |
| --- | --- | --- |
| Advertising | POAS 1.4 vs target 2 | 4,820 clicks, €2,420 cost, last 30 days |
| Journeys | Entry product for socks and tops | Next buys: Everyday Cushioned socks, Miler top |
| Market | €10.01 above the €129.98 median | 4 comparable adidas and PUMA trainers, cheaper than 1 of 4 |
| Margin | 44% margin | Break-even ROAS 2.27, current ROAS 3.18 |
| Inventory | 1,240 pairs, ≈16 weeks of cover | Enough stock to carry more demand |

- **Decision.** Push, Star candidate
- **Why.** Enough stock for more demand. Every layer points the same way: push.
- **custom_label_0.** star_candidate
- **custom_label_2.** above_median

_Illustrative performance data. List prices from nike.com/nl and eu.puma.com/nl, checked 30 Sep 2026; adidas prices marked ≈ are EU launch prices. Product Metrics is not affiliated with Nike, adidas or PUMA._

## Get setup in 3 steps. Connect your accounts, review your products and choose what to act on.

Works with Shopify, WooCommerce, Magento, Lightspeed and Shopware 6.

### 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.

### See every product in context

Machine learning groups products by ad clicks and return. Check journeys, prices, margin and stock to understand the result.

### Push, fix or pause

Segments and rules become Merchant Center labels that your campaigns use.

## The only platform that connects segmentation, product journeys, competitor prices and stock in one workflow. Other tools see one slice.

Product Metrics compared with five kinds of alternatives:

| Capability | Product Metrics | Google Ads (native reporting) | Profit tools (POAS trackers) | Feed management tools | Custom scripts | Spreadsheets |
| --- | --- | --- | --- | --- | --- | --- |
| Product-level segmentation into six segments | Yes | No | No | Partly, with manual work | Partly, with manual work | Partly, with manual work |
| Machine learning, not static rules | Yes | No | No | No | No | No |
| POAS and LTV as metrics | Yes | Partly, with manual work | Yes | No | Partly, with manual work | Partly, with manual work |
| Labels to Merchant Center automatically | Yes | No | Yes | Yes | Partly, with manual work | No |
| Product journeys and cross-sell | Yes | No | No | No | No | Partly, with manual work |
| Competitor prices with own-brand matching | Yes | Partly, with manual work | No | Partly, with manual work | No | Partly, with manual work |
| Stock and inventory context | Yes | No | No | Partly, with manual work | Partly, with manual work | Partly, with manual work |
| Server-side tracking with auto-rotation | Yes | No | Partly, with manual work | No | No | No |
| Updates daily without maintenance | Yes | Yes | Yes | Yes | Partly, with manual work | No |
| Setup without dev work | Yes | Yes | Partly, with manual work | Yes | No | Yes |

_Based on what each kind of tool typically offers._

## Ad spend, in the language of profit. One number for your PPC team and your finance team.

### Contribution profit per product

Check product and order costs alongside ad spend to see what each sale leaves.

- [Explore Product Segmentation](https://www.productmetrics.io/product-segmentation)

### Less spend on Drainers

Lower priority on products that return nothing; increase it on Stars that pay back.

- [Explore Performance Max](https://www.productmetrics.io/performance-max)

### Capital not stuck in slow stock

Push what’s in stock; stop advertising what can’t ship.

- [Explore Inventory Insights](https://www.productmetrics.io/inventory-insights)

## 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.

- [View pricing](https://www.productmetrics.io/pricing)

### €50,000 Shopping spend per month

Worked example:

| Spend | Rate | Fee |
| --- | --- | --- |
| 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?

Yes. Competitor Prices matches own-brand products on style, colour and dimensions you define, with AI to help, and approve. You see your price position; Product Metrics never changes a price. Price Monitoring is an add-on at €0.004 per scrape.

### 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.

- [Book a demo](https://cal.com/berend-vrakking/demo)

## See which of your products to push, fix or pause. Start with your own products, or a 30-second estimate.

- [Analyse your products for free](https://app.productmetrics.io/): Free analysis, no credit card
- [Find your hidden profit](https://www.productmetrics.io/pricing#calculator): 30-second estimate, no login
- [Book a demo](https://cal.com/berend-vrakking/demo): a video call with Berend, then a demo account

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Published by Product Metrics (Berend Vrakking, founder).

HTML version: https://www.productmetrics.io/