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Completeness score: measure and improve your product listing quality

A catalogue completeness score objectively measures the quality of each product listing. How to calculate, interpret and use it to prioritise AI enrichment.

ProductsManager Team · 28 mars 2026

A "complete" product listing on Amazon is not the same as a complete listing for a B2B reseller. The completeness score is the tool that allows you to objectively measure the quality of each product listing according to its target channels — and to identify exactly what is missing.

Why measure catalogue completeness?

Most retailers intuitively know that their product listings are “incomplete”. But without measurement, it is impossible to prioritise, delegate or track progress. The consequences of a poorly populated catalogue are clear:

  • Reduced conversion rates— shoppers abandon listings without descriptions, dimensions or high-quality images
  • Marketplace rejections— Amazon, Mirakl and most marketplaces reject products where mandatory attributes are missing
  • Poor search ranking— without a structured title or key attributes, products do not appear in the platforms’ internal search results
  • Customer returns— missing or inaccurate information (incorrect dimensions, unspecified materials) leads to costly returns

The ProductsManager Completeness module transforms this vague issue into an actionable dashboard.

How the completeness score works

The score is calculated per listing, based on the rules you define for each channel or catalogue segment. It takes three factors into account:

  • Presence— is the attribute filled in? (title, description, EAN, brand, category, price, stock)
  • Quality— does the value comply with the defined constraints? (minimum title length, description > 150 characters, at least 3 images, dimensions in millimetres rather than centimetres)
  • Channel compliance— are the attributes specific to the target channel present? (ASIN for Amazon, GTIN for Google Shopping, EPREL ID for household appliances sold in the EU)

Each attribute can be assigned a weighting in the score calculation — a missing EAN carries a heavier penalty than a missing second image.

Define your completeness rules by channel

This is where the module’s power really shines. You can configure different completeness profiles according to your channels and segments:

  • Amazon profile— title between 80 and 200 characters, minimum of 5 bullet points, 7 images including 1 with a white background, valid ASIN, mapped Amazon category, weight and dimensions mandatory
  • B2C shop profile— long description > 300 words, minimum of 3 images, technical specifications with key technical attributes, canonical URL
  • B2B PDF catalogue profile— manufacturer’s reference, precise dimensions in mm, weight in grams, customs code, country of origin, available certificates
  • EU compliance profile— CE declaration, WEEE marking where applicable, REACH safety data sheet, EPREL ID for household appliances

The same product may score 95% for the B2B profile and only 60% for the Amazon profile — which tells you exactly what to enhance before launching a campaign on the marketplace.

The completeness dashboard

ProductsManager displays completeness at several levels to facilitate prioritisation:

  • Overview— average catalogue score by channel, trends over time, breakdown by bracket (0–50%, 50–80%, 80–100%, 100%)
  • Category view— the most incomplete categories appear first, so the team can focus its efforts where the impact is greatest
  • Supplier view— compares the quality of data received by supplier, useful for supplier performance reviews
  • View by product code— for each product, a detailed attribute-by-attribute breakdown of what is present, what is insufficient and what is missing

Block the publication of incomplete product sheets

The Completeness module integrates with the publication workflow. You can configure minimum thresholds below which a record cannot be published on a given channel:

  • Score < 70% → record blocked with status "To be enriched", not visible on the channel
  • Score 70–90% → record published but marked "To be improved", included in weekly alerts
  • Score > 90% → listing published and validated

These thresholds can be configured per channel. You can set higher standards on Amazon (threshold 85%) than on your internal shop (threshold 60%) depending on your business priorities.

AI enrichment and completeness

ProductsManager links the completeness score directly to the AI enrichment engine. From the product view, clicking "Enrich with AI" automatically generates the missing attributes as a priority:

  • Short and long descriptions generated from the title, brand, category and existing technical attributes
  • Automatic translation of descriptions into target languages (FR, EN, DE, ES, IT, NL…)
  • Category and tag suggestions based on semantic analysis of the product
  • Completion of missing technical attributes via web search or Icecat where available

The score is recalculated in real time after each update, allowing you to see the impact of each action immediately.

Alerts and automated reporting

Catalogue teams cannot manually monitor thousands of product listings. ProductsManager sends automatic completeness reports:

  • Weekly email report listing the X most incomplete SKUs for each active channel
  • Immediate alert when a supplier import introduces SKUs with a score below the configured minimum threshold
  • Monthly report on changes in the average score by category and by supplier, for performance reviews

Case study: electronics retailer, 15,000 SKUs

A consumer electronics distributor with 15,000 active SKUs and 20 suppliers:

  • Initial score at launch: 52% on average on the Amazon profile, 71% on the B2C shop profile
  • After 6 weeks of AI enrichment on the 3,000 priority SKUs (score < 60%): average Amazon score at 78%, B2C at 88%
  • Measured impact: Amazon acceptance rate rose from 67% to 94%, return rate reduced by 18%
  • Enrichment time: 3 hours for 1,000 SKUs using AI vs 3 weeks manually

Which plans include the Completeness module?

The Completeness module is included in all paid plans (Starter, Growth, Scale). Customised completeness profiles by channel and automated reports are available from the Starter plan onwards. Real-time alerts and integration with the publishing workflow are available from the Growth plan onwards.

Pilotez la qualité de vos fiches produits

Scores par canal, alertes de complétude, blocage publication — dès le plan Starter.

Découvrir le module Complétude

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