Conversion Tables

Available on Premium & Growth Plan


The new Conversion Tables feature in Clean Size Charts enables online retailers to offer dual sizing metrics for their products, enhancing the shopping experience for a global audience. With this feature, retailers can input size information in inches or centimeters, and the system will automatically generate the conversion in the opposite metric. Shoppers can seamlessly toggle between standard (inches) and metric (centimeters) units when viewing product size charts.


Table of Contents


How the Conversion Tables Work

Setting Up Conversion Tables in Clean Size Charts

How Shoppers Use Conversion Tables

Benefits of the Conversion Tables Feature

What's Next?


How the Conversion Tables Work


At its core, the Conversion Tables feature leverages an algorithm to convert measurements between inches and centimeters. The precise conversions are based on the universally accepted metric where:


1 inch = 2.54 cm.


Setting Up Conversion Tables in Clean Size Charts


  1. Log in to the Clean Size Charts dashboard
  2. Select a size chart or create a new size chart
  3. Navigate to the Contents tab
  4. Select IN —> CM or CM —> IN within the Conversion table dropdown menu
  5. Publish

You will need to edit your table if you have both IN and CM in the table currently.

We use AI to convert your tables. This allows ultimate flexibility. It can take several seconds for AI to convert the table. Please be patient.


How Shoppers Use Conversion Tables


When browsing product listings:


  1. Shoppers will view the size chart regularly.
  2. An option will be available to switch between standard and metric measurements.


Benefits of the Conversion Tables Feature


  • Enhanced User Experience: Shoppers can view size charts in their preferred measurement system, reducing confusion and potential returns.
  • Time Savings: Retailers no longer need to manually create two separate size charts.
  • Global Market Readiness: Ready to cater to both standard and metric measurement systems, making your online store more accessible to a global audience.

What's Next?

  • Automatically detecting metric based on users location
  • Addition of additional metrics (feet —> yards, yards —> feet, etc)

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