Yes, the Product Data Check is 100% free and non-binding. No signup required - just enter your shop URL.

How are the scores calculated?

Our evaluation is based on 46 criteria across 7 dimensions, aligned with Google Merchant Center Requirements, schema.org Product Spec, Amazon Content Standards and E-Commerce UX Best Practices.

Which shop systems are supported?

The check works with all shop systems - Shopware, Shopify, WooCommerce, Magento, JTL, OXID and more. We analyze the publicly visible product pages, regardless of the backend.

What happens with my URL / my data?

Your URL is only used for the analysis. We don't permanently store product data and don't share data with third parties.

How good is your product data really?

Find out - free in 30 seconds.

No signup required. 100% free. Based on industry standards.

Industry anchor · GS1 Global Data Model · 30+ industry partners

What product-data care actually costs you today.

Type your real numbers - the annual effort updates live. Industry ranges sit under each field. Source: GS1 Global Data Model Business Case.

Total SKUs

products

Mid-market: 10,000 - 100,000

New SKUs per year

/ year

≈ 15 % of catalog is industry-typical

Active hours per new SKU

Industry consensus 2 - 5 h

Min per SKU / year for updates

min

Industry consensus 5 - 30 min/SKU/year

Platform

Systems with many mandatory fields and their own attribute logic cost more time per article. We apply a factor for that.

Effort per year

~€264,500 / year~5,290 hours · staff cost

Taking articles on≈ 3,600 h

1,800 new articles × 2 h

Ongoing upkeep≈ 1,000 h

12,000 articles × 5 min · 0.98 (catalog)

Platform complexity × 1.15 → 5,290 h

Calculated at €50 / h fully loaded staff cost.

Based on GS1 Global Data Model · 30+ industry partners →

Calculation based on your inputs. Industry anchor: GS1 Global Data Model Business Case.

Formula

Onboarding1,800 new · 2 h= 3,600 h

Updates12,000 SKUs · 5 min/year ÷ 60 · 0.98 (catalog)= 1,000 h

Total× 1.15 · €50/h≈ €264,500/year · 5,290 h

Platform factorShopware× 1.15 - custom fields + variant system raise effort (internal project experience)Hourly rate€50 / hB2B industry average for data-operations (DACH)Industry anchorGS1 Global Data Model Business Case - multi-partner study with 30+ industry partners (brand owners + retailers):

10 - 15 supplier interactions per new SKU
5 - 10 hours onboarding effort per brand partner
1,000+ new SKUs per year · 700 attributes · 500 formats
Industry range for active work: 2 - 5 h per new SKU
Updates / corrections / refreshes: 5 - 30 min per SKU/year (industry consensus)

Open GS1 Global Data Model →

Reality check

50,000 - 100,000SKUs in the assortment

€0.8 - 2mSpend per year

Brand owners and mid-market retailers of this size typically land in this range - spread across onboarding, updates and format translations.

Source: Forrester / Gartner benchmark

That's the status quo. Where does your shop stand?

Run the quality check - enter your URL ↑

How it works

Enter shop URL

Simply enter your online shop URL - we detect the system automatically.

Analyze 7 dimensions

We check 46 criteria based on Google, schema.org and e-commerce best practices.

Get your report

Receive your score with specific recommendations for each dimension.

What we check

7 dimensions based on industry standards

Google Merchant Center

Completeness

Are title, description, price, images and identifiers present?

Amazon IDQ Standards

Content Quality

Title length, description quality, feature lists and specifications

Google Shopping

Media Quality

Image count, alt text, og:image and structured image data

schema.org / Google Rich Results

Structured Data

schema.org Product markup, JSON-LD completeness and consistency

Google Search Guidelines

SEO & Discoverability

Meta tags, Open Graph, canonical URLs and breadcrumbs

E-Commerce UX Best Practices

Trust & Conversion

Visible price, availability, cart button, reviews and shipping

Core Web Vitals

Technical Health

HTTPS, load time, mobile viewport and mixed content

Based on industry standards

Google Merchant Center · schema.org · Amazon IDQ · Core Web Vitals

FAQ

We analyze publicly accessible product pages of your shop - titles, descriptions, images, prices, structured data (schema.org), SEO tags and technical aspects. We only access public pages that Google can see too.

Data quality is one thing. The effort behind it is another.

Your shop has the quality. The next question is how much work sits behind it - and how much of it can be automated away. FlowCraftDB delivers the same quality with ~2 fewer full-time roles - and onboards new suppliers in hours instead of weeks.

20 minutes. On your real supplier file. No strings attached.