Free guide for clothing and shoe stores

Help customers choose the right size online.

Customers do not want to measure themselves, upload body photos or answer personal questions before they buy. They just want to know which size fits best in this exact product.

Zizr helps online stores show clear size guidance directly on the product page, based on the item, model and how customers actually experience fit.

No weight. No body photos. No measuring tape.

Why customers hesitate before buying

When customers are unsure about size, the buying journey slows down. They open the size chart, look for reviews, compare models, add several sizes to cart or leave the page.

Will this fit me?

Size charts are often too general.

Does this brand run large or small?

The brand alone says too little about each model.

Do I need to measure myself first?

Extra steps create friction.

What if I choose wrong?

Uncertainty weakens purchase confidence.

This is what we mean by item-level size guidance.

Size is not just about the brand. It is about the item.

Most merchants already know this: two products from the same brand can fit completely differently.

A pair of trousers can be small in the waist. A dress can feel tight across the hip. A blazer can be narrow across the shoulders. A shoe can feel different because the shape, width or material is different.

That is why it is not always enough to ask which size the customer usually wears in a brand. Good size guidance must understand the product the customer is looking at right now.

Same customer. Same brand. Different recommendation.

A customer does not have one fixed size. The right size can vary with model, cut, fabric, category and how the customer likes the product to fit.

Slim-fitting dress Recommended size: 38

Why: Closer cut through waist and hip

Relaxed knit Recommended size: 36

Why: Looser fit and more stretch

Structured blazer Recommended size: 40

Why: Narrow shoulder and less flexible fabric

The example is illustrative. Actual recommendations depend on product data and the customer's fit signals.

Old size guidance asks the customer to do more. Zizr removes friction.

Old way

  • Ask the customer for height, weight or body shape
  • Send the customer to a general size chart
  • Use averages and brand-level logic
  • Add more steps before purchase
  • Leave the difficult decision to the customer alone

Zizr way

  • Show size guidance directly on the product page
  • Work without weight and body photos
  • Understand differences between products and models
  • Learn from real fit signals
  • Give customers more confidence before purchase

What you get in the guide

The guide gives a simple, practical explanation of why customers become unsure about size online, and what better size guidance should do.

Why size charts are not enough

Learn why the same brand can fit differently from model to model.

Why customers do not want to measure themselves

Understand why weight, body photos and personal questions can create friction.

How item-level size guidance works

See why the right recommendation must account for product, cut, fabric and the customer's preferences.

How better guidance looks on the product page

See how size recommendations can support the purchase without interrupting the customer.

What to look for in a sizing tool

Use a simple checklist when evaluating solutions for your online store.

Less measurement theatre. More useful size guidance.

Many solutions try to make size choice more precise by asking the customer for more data. More questions do not necessarily mean better guidance.

Good size guidance should not make the customer feel measured or judged. It should help the customer choose the right size with as little friction as possible.

Zizr uses product data, fit signals and learning from actual purchases to provide item-level guidance.

Customers are not averages.

Two customers can have similar body measurements and still prefer completely different fits. The guide explains why averages are not enough when customers choose size.

What technically fits does not always feel right.

A garment can fit on paper and still feel wrong. Fit is also about comfort, style, occasion, fabric and preference.

How Zizr works differently

Zizr combines product data, fit signals and learning from actual purchases to recommend size at item level.

Shopify App Store

Using Shopify?

Zizr is available in the Shopify App Store for clothing and shoe stores that want to get started faster with size recommendations.

Get the free guide

Learn why customers hesitate on size online, why ordinary size charts are often not enough, and how better size guidance can give customers more confidence before purchase.

Inside the guide

  • Why customers become unsure before purchase
  • Why size charts and averages are not enough
  • How item-level recommendations work
  • What to look for in a sizing tool

You can unsubscribe or ask for deletion at any time. See our privacy policy.

Use your work email so we know which store you represent.

FAQ

Is the guide relevant for small stores?

Yes. The guide is made for clothing and shoe stores that sell online, from Shopify stores to larger online stores.

Do customers need to provide body measurements?

No. Zizr can provide size guidance without asking customers for weight, body photos or detailed body measurements.

Does Zizr only work with Shopify?

No. Shopify is the fastest path for many stores, but Zizr can also work with other ecommerce platforms and custom setups.

What will I learn in the guide?

You will learn why customers become unsure about size, why size charts are often not enough, and how item-level size guidance works.

What does item-level size guidance mean?

It means the recommendation accounts for the exact product the customer is viewing, not only the brand or the customer’s usual size.

Can I see Zizr in the Shopify App Store?

Yes. You can see Zizr here:

Shopify App Store