Product Metrics
Product Metrics is a Dutch SaaS platform that segments e-commerce catalogues for Google Shopping and Performance Max, blending Google Ads, GA4, margin, stock, returns and competitor pricing into product labels that steer budget toward genuinely profitable items.
What is Product Metrics?
Product Metrics is a Dutch software-as-a-service platform built around one conviction: Google Shopping and Performance Max have become black boxes that hand budget to whichever product generates clicks rather than whichever product generates profit. Its answer is segmentation at SKU level.
The engine is called the Labelizer. It pulls performance data from Google Ads and GA4, combines it with information Google never sees, namely gross margin, competitor pricing, delivery times, return rates and stock health, then sorts the catalogue into performance classes borrowed from the BCG matrix: Stars, Cashcows, Question Marks, Dogs, plus what the vendor calls Drainers. Where rival tools read only historical ad performance, Product Metrics claims to follow a product from ad click through to purchase.
Four modules sit on top. Product Segments handles the segmentation itself and lets you set performance windows, minimum data thresholds and category logic instead of accepting fixed rules. Product Score compresses margin, price competitiveness, delivery speed, return rate and inventory health into a single 0 to 100 ranking. Product Rules adds a conditional layer, with AND/OR conditions on any connected data column, so a high-margin item can be pushed above a pure ROAS winner and a heavily returned SKU quietly demoted. Product Potential forecasts the additional revenue available from raising impression share on the best segments, and the projected cost of capturing it. A fifth view, PMax Insights, decomposes Performance Max by placement and channel.
Everything ends in the same place: labels written back into the product feed, where they drive bidding, budget allocation and campaign structure. A live preview shows the effect across the whole catalogue before anything is applied.
The company is young. The domain was registered in May 2025, the first web archive capture dates from January 2026, and it was founded by Berend Vrakking, previously at Reprise Digital, KINESSO NL and Omnicom Media Nederland. The headline claims are ambitious: 25% more ROAS from machine-learning segmentation and 20% from a Conversion Booster, neither backed by a published methodology. A free break-even ROAS calculator sits on the site, usable without an account.
What it does
- Segments an entire product catalogue into performance classes: Stars, Cashcows, Question Marks, Dogs and Drainers
- Scores every product from 0 to 100 on margin, price competitiveness, delivery speed, return rate and stock health
- Applies conditional business rules that can override pure ROAS ranking
- Synchronises the resulting labels back into the product feed
- Breaks Performance Max down by placement, channel and product market share
- Forecasts the extra revenue available on the best products and the cost of capturing it
- Flags where Google is spending budget on products that do not earn it
When to use Product Metrics / When not to
A quick filter to help you decide if Product Metrics is the right fit.
When to use Product Metrics
- E-commerce advertisers running significant Google Shopping or Performance Max budgets across large catalogues
- Performance and paid media specialists who suspect a healthy blended ROAS is hiding loss-making SKUs
- Retailers sitting on first-party margin, return rate, delivery time and stock data they cannot currently feed into Google Ads
- Agencies and freelance PPC consultants handling several advertiser accounts, since account linking is unlimited even on the free plan
- Merchandisers and category planners who want budget priority to follow business value rather than click volume
When not to use Product Metrics
- Advertisers working outside Google, as nothing here touches Meta, Amazon, TikTok or marketplace advertising
- Search or Display campaigns without a product feed, since every feature reasons at SKU level
- Businesses with no Google Ads account and no Merchant Center feed to connect
- Buyers expecting a managed service: support is self-service and the vendor never touches your ad accounts
- Small advertisers spending under 25,000 euros a month, for whom the free tier already covers the useful ground
How to use Product Metrics
A typical end-to-end flow, from setup to results.
- Open app.productmetrics.io and sign in with Google; there is nothing to install, and the product pages advertise no credit card at this stage
- Link your Google Ads accounts and your Merchant Center feed, with no limit on the number of accounts even on the free plan
- Run the free analysis of the whole catalogue to see the Stars, Cashcows, Question Marks and Dogs, and where budget is leaking
- Import or synchronise enriched first-party data by CSV, feed or SFTP: margin, return rate, delivery time, stock levels, competitor price
- Map your own columns onto the metrics the platform expects
- Tune the segmentation with performance windows, minimum data thresholds, category logic, seasonality and strategic priorities
- Weight the Product Score across price competitiveness, margin, delivery speed, return rate and inventory health
- Write Product Rules combining AND/OR conditions on attributes, metrics, score or any connected column, and set Category Priority to high, medium or low
- Preview the result across the entire catalogue before applying anything
- Generate the optimised feed, the step that starts billing on the Pro plan, then rebuild campaign structure and ROAS floors around the synced labels
Pros & Cons
Pros
- A genuinely usable free plan: the whole catalogue analysed, unlimited accounts linked, no credit card advertised
- Feeds Google the signals it lacks, from margin and returns to stock, delivery time and competitor pricing
- Opens up the Performance Max black box by placement, channel and product market share
- Pricing indexed to ad spend, with nothing to pay below 25,000 euros a month and a rate that falls as spend rises
- Billing only starts when you actually generate an optimised feed
- The live preview lets a rule be checked across the catalogue before it reaches live campaigns
- EU publisher under Dutch law, with a designated DPO and explicitly stated GDPR rights
Cons
- Google only: no Meta, Amazon, TikTok or marketplace coverage
- No public API, no developer documentation, no mobile app and no browser extension
- No DPA published or offered, and no subprocessor list
- No hosting country or region disclosed; Supabase is named as a technology, without a location
- Nothing published on whether customer data is used to train models, and no opt-out mechanism
- The Pro price is never shown as an amount: it is computed in the browser from an ad-spend slider
- A very young and very small publisher, reachable through a single email address hidden behind Cloudflare protection, with no contact page and no social profiles
Pricing & Plans
Product Metrics operates a freemium model priced in euros. A permanent free plan costs 0 EUR per month and covers analysis of an unlimited number of products across an unlimited number of linked Google Ads accounts. The Pro plan carries no fixed price: it displays 0 EUR per month until an optimised feed is generated, after which it is billed as a percentage of monthly Google Shopping ad spend. Nothing is charged below 25,000 EUR of monthly spend; above that threshold a tiered rate applies, starting at 0.60% and falling to 0.05% at the highest volumes, with advertisers above 10 million EUR per month directed to sales. A 30-day free trial is available on Pro and requires a valid payment method.
- 0 EUR per month
- permanent
- with unlimited product analysis
- unlimited Google Ads account linking
- identification of Stars
- Cashcows
- Question Marks and Dogs
- product category analysis
- everything in Free plus Conversion Booster
- machine-learning product segmentation
- unlimited product-level insights
- use of margin and return data
- prioritisation by stock level or days in stock
- first-party data segmentation and competitor price benchmarking
- billed as a percentage of monthly Google Shopping ad spend once an optimised feed is generated
- with a 30-day free trial
- for advertisers spending more than 10 million EUR per month on Google Shopping
Data, GDPR & hosting
A consolidated view of how Product Metrics handles your data.
GDPR overview
The commitments are explicit rather than certified. The privacy policy states that personal data is processed in accordance with the GDPR on the basis of explicit consent or another valid legal basis, and lists the rights available: access, rectification, erasure, restriction, objection and withdrawal of consent at any time. A Data Protection Officer is designated and reachable at support@productmetrics.io, the same address as general support. Deletion requests are honoured promptly and explicitly extend to data obtained through the Google APIs and stored in connected systems, subject to legal retention duties. The publisher is established in the Netherlands, so no Article 27 representative is required and none is named; Dutch law governs and disputes go to the Amsterdam courts. No effective date appears on the policy, and neither a DPA nor a subprocessor list is published.
Who owns the data?
The terms leave ownership with the customer and grant Product Metrics only a limited, non-exclusive, royalty-free licence to access and process that data strictly in order to deliver the service. Customers may not withdraw that access while the agreement runs if doing so prevents delivery. Platform data is treated as confidential and is not shared with third parties without explicit consent, and the privacy policy adds that no personal Google account data is stored or shared beyond what service delivery requires. One reservation deserves attention: the vendor may use your logo and brand name in customer listings and marketing materials unless you object in writing.
Reuse rights
Reuse runs the other way here. The customer supplies the data and keeps it, while Product Metrics takes only the working licence it needs to run the service. Nothing in the terms restricts what customers do with the segments, scores and labels the platform produces, and those outputs are written straight back into the merchant's own product feed and campaign structure. Inbound access is deliberately narrow: the Google Ads API for campaign performance, the Content API for Shopping for Merchant Center listings, and Google profile and email data for authentication, all through OAuth2 and limited to the scopes required. Aggregated, non-personal statistics such as most-searched products or average session time may be shared with partners or advertisers; personally identifiable data is not, absent explicit consent or a legal obligation.
Data retention & training
Hosting summary
No hosting country or region is disclosed anywhere on the site. The only technical statement appears in the privacy policy: Supabase is used with Row-Level Security and JSON Web Token protections to control access to stored data. That names a technology rather than a location, and Supabase itself operates across several regions. What can be established is jurisdictional rather than physical. The publisher is a company registered in the Netherlands, at Tsjerkepaed 1 in Deinum, and the terms place the agreement under Dutch law with disputes heard in Amsterdam. Data therefore falls under EU law and the GDPR whatever the physical location of the servers. No security certification is claimed, neither SOC 2 nor ISO 27001, and there is no trust or security page. The marketing site itself runs on Framer behind Cloudflare, which says nothing about where application data is stored. Organisations with data residency requirements should ask before connecting a Merchant Center feed, since nothing published allows the question to be answered.
Things to keep in mind
Risks and trade-offs to weigh before adopting Product Metrics.
- The product pages repeat "No Creditcard required" while the terms require a valid payment method to start the 30-day trial: read both before signing up
- The trial converts automatically into a paid subscription unless cancelled, and no refunds are issued afterwards or for partial periods
- A failed payment triggers a 25 EUR administration fee, and service and data access can be suspended after 30 days of non-payment
- Total liability is capped at the amount paid over the past 12 months, up to a maximum of 1,000 EUR
- The vendor may use your logo and brand name in its customer listings and marketing materials unless you object in writing
- Handing margin, return and stock data to a third party deserves a moment's thought when no DPA, subprocessor list or hosting location is published
- Automated labels can turn into a habit: a score is only as sound as the data mapped into it, and a preview is no substitute for understanding why a product was demoted
Setup & Integrations
Technical difficulty
Low to start, moderate to exploit. Signing in with Google takes a moment and the first catalogue analysis needs no configuration at all. The work begins afterwards: enriched data has to arrive by CSV, feed or SFTP and its columns mapped onto the expected metrics, then performance windows, score weightings and AND/OR rules have to be set deliberately. The live preview lowers the risk considerably. Acting on the output still means reworking your Google Ads campaign structure. Support is self-service, with 24-hour Slack support advertised on the free plan.
Deployment
Integrations
Behind Product Metrics
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
Which advertising channels does Product Metrics work on?
Is there a free plan, or only a trial?
How is the paid plan billed?
What does the 30-day free trial commit me to?
What data do I need to supply?
What does the platform actually produce?
Can I test a segmentation before applying it?
Is there an API or a mobile app?
Who is behind the tool, and under which law does it operate?
How do I exercise my GDPR rights?
Should you pick Product Metrics?
Product Metrics is a deliberately narrow tool, and that is its strength. It attacks a single problem, namely how Google Shopping and Performance Max allocate budget across individual products, and it attacks it with information Google does not have: gross margin, return rates, stock health, delivery speed and competitor pricing. For a retailer whose blended ROAS looks acceptable while a quarter of the catalogue quietly loses money, that is exactly the gap worth closing.
The commercial design is unusually fair. The free plan is not a teaser: it analyses the entire catalogue across unlimited linked accounts, and billing only starts when you generate an optimised feed. Above that threshold the price is a shrinking percentage of ad spend, so the tool costs roughly what it is worth to the size of advertiser using it.
What you accept in return is a young and very small publisher. The domain dates from May 2025 and a single web archive capture exists, from January 2026. The paperwork reflects that: no DPA, no subprocessor list, no stated hosting country, and no position on whether customer data is used to train models. Contact runs through one email address hidden behind Cloudflare protection, with no contact page and no social presence. The headline promises, 25% more ROAS from segmentation and 20% from the Conversion Booster, are vendor claims with no published methodology behind them.
The practical verdict is straightforward. If you spend meaningfully on Google Shopping and hold first-party margin and returns data you cannot currently act on, the free tier costs nothing to evaluate and will tell you quickly whether the premise holds for your catalogue. If you need contractual guarantees on data processing, or advertise anywhere other than Google, look elsewhere.
- Choosing a selection results in a full page refresh.
- Opens in a new window.