Footwear Specification Table Setup Guide

A footwear specification table should keep construction facts separate from size advice. Use this setup for upper material, lining, closure, and the selected size label. Link to a measured size chart for fit decisions. TableFlow displays the values; your product team supplies the fit guidance.

Setup tutorial · TableFlow · Updated 2026-09-07 · By Activory

Try the storefront example

Select the three sample products. The first shows all six rows. The second has two empty fields, so those rows disappear. The third has no values, so the whole table disappears. You can also choose Missing variant values inside the example to hide only the selected variant’s missing rows.

Storefront example

Choose a sample product

The first product option shows all six specification rows.

Hide empty fields in your store

In the theme editor, open the TableFlow app embed and leave Empty value placeholder blank. These are sample products.

This example uses TableFlow storefront code with sample data and the settings below. Your theme’s fonts and available width can change the result. Example links show their destination; purchase controls use a sample cart. Use the checks below to confirm the finished setup in your store.

Build it in TableFlow

The images below show the TableFlow form code with local sample data, captured on 2026-09-07. Shopify navigation and action bars are outside the cropped area.

1. Prepare the metafields

In Shopify, open Settings → Custom data. Create the six definitions in Sample data and content as Single line text. Use Products for Lining, Closure, and Fit reference. Use Variants for Size label, Upper, and Measured weight. Reuse an existing definition if it stores the same information.

Open your test product and enter the sample values in the product and variant metafields. Add the product tag footwear-specifications to this test product, then save. We will use this tag to control where the table appears. For images of these Shopify controls, see the product metafield guide and variant metafield guide.

2. Name the specification table

In TableFlow, create a specification table. Enter Footwear Specification Table in Table name. This name is for your admin. Leave Table ranking at 1st. Set Status to Published when you are ready to save the finished setup.

TableFlow Table name set to Footwear Specification Table, Table ranking set to 1st, and Status set to Published — Table name identifies the table in TableFlow. The section title in the next step is the heading that shoppers see. Select the image to view it at full size.

3. Add the first row

Under Table content, enter Specifications in Section title. In the first row, enter Size label in Label and select Advance in Source. Then select Search metafields, above the Advance value field.

TableFlow Table content with Specifications as the section title, Size label as the label, and the Search metafields control above Advance value — Select Search metafields to connect this row to its variant value. Select the image to view it at full size.

4. Select the value and complete the six rows

In Search metafields, enter custom.size_label. Select Size label with the Variant - single_line_text_field description. Select Insert in the selection window. The Advance value field will contain ::custom.size_label.

Search metafields with custom.size_label entered and the Size label variant metafield selected — This image shows the search field and selected result. The Insert button is in the Shopify action bar outside this crop. Select the image to view it at full size.

Select Add row and repeat this process for the other five rows in Sample data and content. Keep Source set to Advance. Match the result to the Scope column for each row. A Product result supplies a value shared by the product. A Variant result supplies a value for the selected option. The stored product or variant value supplies the storefront text; do not type the sample measurement into Advance value.

Show the completed six-row setup

Completed Footwear Specification Table with six labels and their custom metafield references — Check the row order and metafield keys against this completed example. Select the image to view it at full size.

5. Choose which products show the table

Under Display condition, set Attribute to Tagged with and Condition to Match any. In Values, enter footwear-specifications and select the matching option to add the tag. Only apply this tag to products that should use this specification table. Use your test product first.

TableFlow Display condition with Tagged with, Match any, and the footwear-specifications tag selected — The tag must also be present on the Shopify product. This keeps the table limited to the intended products. Select the image to view it at full size.

6. Select the table location and save

Under Table locations, select Location 1. Leave the other locations clear for this example. Check the six rows, display condition, and Published status, then select Save in TableFlow.

TableFlow Table locations with only Location 1 selected — Use the same location number in the TableFlow app block in the next step. Select the image to view it at full size.

7. Add the table to the product template

Open the product template in the Shopify theme editor. Enable the TableFlow app embed. Clear Empty value placeholder so it is blank. This makes TableFlow hide rows with missing values and hide the whole table if every row is empty.

Add the TableFlow - Specification app block and select table location 1. Match the example settings, then save the theme. Open the tagged test product in your storefront and change its variant. Check the specification values, then clear one test value to confirm that its row disappears.

Example settings

This example uses 18 px title text, 14 px row text, 40% label width, row borders, and 5 px cell padding. Empty value placeholder is blank. Hiding starts after the storefront script loads; entering a dash in this setting keeps missing rows visible instead.
The custom-data definitions, scopes, and values below produce the example. The second sample variant has no variant metafield values.
Canvas trainer: all six fields use the sample values below.
Canvas low-top: leave Measured weight and Fit reference empty. Other changes: Size label = EU 42.
Canvas slip-on: leave all six mapped metafields empty. The table and its heading are hidden.

Sample data and content

Use these values for a test. Replace them with checked product data, published destinations, and offers that your store can supply.

Detail	Suggested metafield key	Scope	Metafield type	Example value
Size label	custom.size_label	Variant	Single line text	EU 40
Upper	custom.shoe_upper	Variant	Single line text	Canvas
Lining	custom.shoe_lining	Product	Single line text	Textile
Closure	custom.shoe_closure	Product	Single line text	Laces
Measured weight	custom.shoe_weight	Variant	Single line text	620 g per pair in EU 40
Fit reference	custom.fit_reference	Product	Single line text	See the measured foot-length chart

How should shoe size and weight be labelled?

State the size system beside the size number. Foot length and internal shoe length are different measurements, and neither should silently replace the other. If you publish weight, identify the measured size and whether the value describes one shoe or a pair.

Collect the size system and fit-chart method for the range. Keep the method visible wherever a size measurement appears.
Set colour-dependent materials and measured weights on variants. Leave weight blank for unmeasured sizes rather than guessing.
Map construction rows in TableFlow and place the full size-chart link nearby. Explain the chart’s unit and measurement method.
Preview two sizes and two colours. Check the upper material as well as the visible size label.

Read the TableFlow setup guide for the full app controls and placement options. Use the variant metafield guide for rows that change with an option.

Check the finished setup

Confirm that a pair weight is never labelled as the weight of one shoe.
Check that a size conversion table applies to this brand and range before linking it.
Verify that a material variation follows the colour option selected by the customer.

Common mistakes

Do not reuse a generic international conversion as verified brand fit guidance.
Do not infer waterproof or protective properties from the upper material.

Supported use

TableFlow displays the values you supply. It does not measure products or verify supplier claims. Use product fields for shared facts and variant fields for facts that change with the selected option. Confirm the app embed and table placement in your theme.

TableFlow features, current app plans, and Shopify metafield types and accepted values explain the supported setup.

Browse all TableFlow tutorials. Read how the examples are made or report a correction.