How are your brand’s Data Health and Product Completeness Score calculated?

How are your brand’s Data Health and Product Completeness Score calculated

A brand’s Data Health score (0-100%) is the average of the completeness scores of all individual product data sheets (PDSs) of the respective brand in the Icecat PIM or Free Vendor Central. Currently, we only include PDSs with Quality=Icecat in this calculation. In addition, we consider limiting the Brand Data Health score calculation to only a brand’s active products.

How is the Completeness Score calculated?

To interpret a brand’s Data Health score, one must first understand the meaning of the completeness score on the product level. In the Icecat Vendor Central, we visualize each product completeness score as a 0-100% bar. A product completeness score below 50% means that a product data sheet does not meet minimum requirements, and a score below 20% indicates that only logistical data is present. A score of 51-75% means that a product data-sheet is sufficiently informative. A 75-100% score means that a product data sheet is excellent as it contains many additional, nice-to-have information and rich media. In other words, the score is originally a content health indicator for (brand) editors on the PDS level, which we now aggregated on Brand-level.

In a pop-up – visible after a user clicks on the score bar – we show the break-down of the completeness score on the digital asset or attribute level.

An attribute or asset that contributes to the score changes color from red to green.

Optional fields are only included after all the Obligatory fields are filled in first. Below are the details for each asset and its value in the total product score.

How to improve Data Health?

The only way to improve the overall Brand Data Health score is thus to improve the score of individual PDSs. The best PDSs in our database score close to 97%. Therefore, the practical maximum of a brand with only great multimedia PDSs is around 97%. Many major brands score close to 55% on average, given their broad and deep portfolios. For most products, it’s sufficient to have a 50% completeness score, which means that all mandatory fields and media are included. Over time, the number of mandatory specifications increases as retailers up their requirements. Therefore, good PDSs might get a lower completeness score over time because new retailer requirements are not met. This naturally depresses also the overall score.

Nevertheless, an e-commerce-focused brand must improve on its Data Health score. In the case of small portfolios, it’s sufficient to look through the individual PDSs and determine which ones to complete. In the case of larger portfolios, a more structural approach is needed. Can a product feed be pushed to Icecat? A structured brand feed generically contributes to better data sheets, more rich media assets, more language-specific content, a higher chance that mandatory specs are filled in, and thus a higher overall Data Health score. Depending on the focus on certain channel partners, markets, and products, it’s good to improve respective individual product data sheets.

Is there an ideal Data Health score? No, there is not. But, it provides an indication of how much can be improved to satisfy complete e-commerce requirements.

Obligatory elements

What are the obligatory elements in the Product Complete Score? And, how much do they contribute?

  • Brand: 10%
  • Brand Product Code: 10%
  • Category: 5%
  • Product model description: 5%
  • Image: 10%
  • Full product name in all mandatory languages/at least English: 5%
  • Marketing text in all mandatory languages/at least English: 5%

The total of all obligatory elements is thus 50%

Optional elements

What are the optional elements in the Product Complete Score? And, how much do they contribute?

  • GTIN: 2%
  • All searchable filled and other mandatory specs filled: 5%
  • At least 30% of other key specs are filled: 0,5%
  • At least 75% of other key specs are filled: 0,5%
  • Family (if any): 1%
  • Series (if any): 1%
  • Multiple images, at least 5: 5%
  • High-res main image of at least 1000×1000 px: 2%
  • PDF leaflet: 5%
  • PDF manual: 5%
  • Alternatives: 3%
  • Options (X-sell): 3%
  • Video, at least 1: 5%
  • Reasons To Buy (RTB), at least 5: 5%
  • 3D tour: 4%
  • Feature logos applied, at least 3: 1%
  • Super-editor quality (Approved by QA): 1%
  • Approved by Brand User: 1%

The total of all obligatory and optional elements is thus 100%.

As a brand editor, you can log in or register to access your products in the Icecat PIM or Vendor Central.

Chief Operating Officer at Icecat

Leave a Reply

Your email address will not be published. Required fields are marked *

Icecat xml

Open Catalog Interface (OCI): Manual for Open Icecat XML and Full Icecat XML

This document describes the Icecat XML method of Icecat's Open Catalog Inte...
 November 3, 2019

Manual for Icecat Live: Real-Time Product Data in Your App

Icecat Live is a (free) service that enables you to insert real-time produc...
 June 10, 2022
Manual for Icecat CSV Interface

Manual for Icecat CSV Interface

This document describes the manual for Icecat CSV interface (Comma-Separate...
 September 28, 2016
 October 4, 2018

How to Create a Button that Opens Video in a Modal Window

Recently, our Icecat Live JavaScript interface was updated with two new fun...
 November 3, 2021
Addons plugins

Icecat Add-Ons Overview. NEW: Red Technology

Icecat has a huge list of integration partners, making it easy for clients ...
 October 27, 2023

Manual for Open Icecat JSON Product Requests

JSON (JavaScript Object Notation) is an increasingly popular means of trans...
 September 17, 2018
 January 20, 2020
New Standard video thumbnail

Autheos video acquisition completed

July 21, Icecat and Autheos jointly a...
 September 7, 2021

Manual Personalized Interface File and Catalog from Icecat

With Icecat, you can generate personalized or customized CSV or Excel files...
 May 3, 2022