Fit Consistency Report

How to access

The Fit Consistency Report is available under the “Reports” section on the Connect portal. Click “Reports > Fit Consistency”.

Who should use this report?

This report is designed for teams responsible for product fit, merchandising, and the shopper experience, including:

Merchandising
Buying
Product Development
Technical Design
Ecommerce
Customer Experience

When to use this report

Use this report to:

Evaluate whether new products are fitting as expected.
Identify products driving sizing confusion.
Prioritize products that may benefit from updated fit guidance or size charts.
Compare fit consistency across departments or categories.
Review historical sizing behavior before future product development.

How this dashboard works

The Fit Consistency Report analyzes anonymized shopper purchase behavior to understand how customers size across your assortment. Instead of relying on returns or product specifications alone, the report examines purchasing patterns to determine whether shoppers typically buy their usual size, size up, or size down for each product.

Results are grouped by body-measurement ranges, helping you identify fit patterns that may vary across shopper cohorts.

Understanding the Dashboard

1 - Filters

Use the filters at the top of the report to narrow your analysis.

Example use cases:

Review Women's Jackets across all brands.
Analyze a single product.
Compare sizing behavior within a specific category.

Available filters include:

Filters	Description
Brand	Switch between brands available in the platform
Department	Filter by department (e.g. Women's, Men's)
Category	Narrow to a product category (e.g. Bottoms, Tops)
Locale	Filter by regional locale if applicable (e.g. en_GB)
Search Product	Search by product name or code for a specific style
Trend	Filter the table by sizing trend (e.g. show only products where shoppers size up
in / cm toggle	Switch waist measurement display between inches and centimeters
Reset Filters	Clears all active filters and returns to the default view

2 - Summary Cards

These cards provide a high-level view of sizing behavior across all filtered products.

Total Products

Total Products: The number of products included after filters are applied.
Use this to: understand the scope of your analysis.

Size Down Rate

The percentage of products where shoppers most frequently purchased a smaller size than expected.
A higher value may indicate products that run large or opportunities to improve size guidance.

Usual Size Rate

The percentage of products where shoppers most frequently purchased their expected size.
Higher values generally indicate more consistent sizing across the assortment.

Size Up Rate

The percentage of products where shoppers most frequently purchased a larger size than expected.
Higher values may indicate products that run small.

Reading the Product Matrix

What you're seeing

Each row represents a product.
Each column represents a shopper body measurement.
Each colored tile shows how shoppers with that measurement typically sized when purchasing that product.

1 - Color Meanings

Color	Meaning
Green	Purchased usual size
Blue	Sized down
Light Blue	½ Size down
Yellow	½ Size up
Orange	Sized up

2 - Percentages

The percentage shown in each tile represents the share of shoppers in that body-measurement range who followed the indicated sizing behavior.
For example, a tile displaying 73% Usual Size means that 73% of shoppers in that body-measurement range purchased their expected size.

3 - Empty Cells

Empty cells, represented by a dash (--), indicate that there was not enough shopper data available for that body-measurement range.

4 - Trend Summary

The Trend column summarizes the dominant sizing behavior for each product based on the currently displayed shopper data.

Rather than reviewing each individual tile, use the Trend column to quickly identify the overall sizing pattern for a product.

Note: The Trend column reflects the overall sizing behavior of the product and does not represent changes over time.

Examples

Usual Size 55% — The majority of shoppers purchased their expected size.
Size Down 43% — Sizing down was the most common purchasing behavior across the product.
Size Up 62% — Shoppers most frequently purchased a larger size than expected.

Filter by Trend

Use the Trend filter above the table to quickly surface products with similar sizing behavior.

For example, filtering to Size Down allows you to focus on products where shoppers consistently purchase a smaller size, making it easier to identify assortment-wide patterns.

Viewing Shopper Distribution

For a deeper understanding of the data behind each fit insight, click any size label beneath a colored tile (for example, Small, Medium, or XL).

A popover will show how shoppers in that body-measurement cohort distributed their purchases across the available product sizes.

Why this is useful

The product matrix summarizes the most common sizing behavior, while the shopper distribution provides the underlying purchase counts that support that insight.

Use this view to:

Validate whether a sizing trend is supported by meaningful shopper volume.
Understand how shoppers are distributed across neighboring sizes.
Identify whether sizing behavior is concentrated or split across multiple sizes.
Build confidence before making merchandising or fit guidance decisions.

Example

If shoppers within a 36.5" chest measurement range purchased:

Medium: 3 shoppers
Large: 4 shoppers

the corresponding tile would indicate Size Up, since most shoppers in that cohort purchased the next size up.

Tip: The percentage identifies the dominant sizing behavior, while the shopper distribution reveals the underlying purchase counts that support that result.

How to interpret results

If you see...	Colored as...	This means...	Consider...	How True Fit can help…
High Size Up Rate across multiple products	Predominantly orange (and/or yellow) tiles across products or measurement ranges	Shoppers are consistently purchasing a larger size than expected, suggesting products may run small or fit more narrowly than intended.	Review garment specifications, fit notes, or size charts.	Turn on General Guidance to communicate how shoppers are buying the item. If this pattern is consistent across multiple products, evaluate whether Dynamic Size Charts should better align body measurement ranges with actual shopper purchasing behavior.
High Size Down Rate in larger sizes	Predominantly blue tiles in XL and above	Larger shoppers are consistently purchasing a smaller size, which may indicate excess garment ease or grading inconsistencies in extended sizes.	Investigate grading and garment ease for extended sizes.	Use General Guidance to help shoppers understand how the product fits. If this trend is consistent, review whether Dynamic Size Charts can better reflect shopper purchasing behavior for extended sizes.
High Usual Size Rate	Predominantly green tiles across nearly every body measurement range	Shoppers consistently purchase their expected size, indicating stable, predictable sizing across the product line.	Use as a benchmark for future product development.
Mixed behavior across body measurements	A mix of green, blue, yellow, and/or orange tiles across measurement ranges	Fit behavior varies by shopper body measurement, suggesting the product may fit differently across the size range rather than consistently running small or large.	Review fit consistency by size range rather than treating the product as uniformly "true to size."	General Guidance filters can provide additional context on how the product fits at each size, while Dynamic Size Charts may help improve body-measurement mappings if consistent trends emerge across shopper cohorts.

Best Practices

To get the most value from this report:

Look for patterns across multiple products rather than focusing on a single style.
Compare behavior across body measurement ranges.
Consider both the fit percentages and the shopper distribution before drawing conclusions.
Use category-level trends to identify broader sizing opportunities.

Frequenty Asked Questions

Why doesn't every product appear?

To be featured in the report, a product or style must meet a minimum shopper-data threshold of 10 sales.

Why do some body measurement ranges have no data?

There were not enough qualifying shopper purchases for that cohort.

Does this mean my product runs small or large?

Not necessarily. The report reflects shopper purchasing behavior, which should be considered alongside product specifications, intended fit, and other merchandising insights.

Can I export this report?

Yes, you can download as JSON Lines or CSV.

What does 'Usual Size Rate' mean?

It is the percentage of shoppers who purchased their typical size for a given product. A high usual size rate (e.g., 95%) indicates the product fits true to size, and customers are confident in their selection.

Why do some cells show a dash (—) instead of a percentage?

A dash indicates insufficient data for that size band — either no sales occurred in that measurement range or the sample size is too small to display a meaningful percentage.

What is the difference between Size Down and ½ Size Down?

Size Down means a shopper purchased a full size smaller than their usual size. ½ Size Down indicates a size deviation, suggesting the product may run slightly large but not enough for a full size change.

How is a shopper’s ‘usual size’ determined?

The usual size is derived from each shopper’s historical purchasing pattern across similar product categories. It represents the size they buy most consistently.

What does the Trend filter do?

The Trend filter lets you isolate products where shoppers are consistently sizing in a particular direction (e.g., all Size Up products). This is useful for quickly identifying styles that may need a fit review or updated size guidance.

How often is this data updated?

Fit Consistency data is updated on a daily basis.

What is the timeframe for sales considered in this report?

Sales data for the last one year has been taken into account for preparing this report.