Better size decisions. Better shopping experiences.

Zizr helps retailers give shoppers clearer guidance at the size selector. The result is a calmer product-page experience and a stronger foundation for better commercial outcomes.

Example product page showing a Zizr size recommendation near the size selector

Results start with the customer experience

Commercial outcomes improve when the size decision becomes easier. Zizr focuses on the moment where the shopper needs confidence, not another generic size chart.

More confident choices

Clear guidance helps shoppers choose size with less uncertainty before add-to-cart.

Fewer moments of hesitation

The recommendation appears where the decision happens, reducing the need to leave the product page to compare charts or reviews.

Better personalization signals

Where fit signals are available, Zizr can help stores build a more useful foundation for future product-page personalization.

What Zizr changes on the product page

Zizr is designed to make the size selector feel clearer without asking shoppers for intrusive body data.

Less guessing

Shoppers get guidance before they choose between sizes or leave the page to think.

Guidance near the selector

The recommendation sits close to the size decision instead of hiding in a separate guide.

No intrusive body data

The experience avoids weight, body photos, measuring tape steps and unnecessary body questions.

Item-level recommendations

Recommendations can vary by item or SKU because category, cut, fabric and size behaviour can differ.

Signals that can improve over time

Customer feedback, purchase history and return history can make future guidance more useful where those signals are available.

Responsible proof points

The following figures are reported from the existing Capone case-study material. They should be reviewed by the content owner before use in campaigns, paid media or investor material.

28%

Capone reported a reduction in return rates after using Zizr.

22%

Capone reported an increase in conversion rate in the existing case-study copy.

31%

Capone reported an improvement in customer satisfaction in the existing case-study copy.

A clearer before-and-after journey

The practical change is simple: the shopper gets better help at the exact moment size uncertainty normally appears.

01

Before

The shopper hesitates at the size selector, compares size charts and tries to infer fit from reviews.

02

With Zizr

The shopper sees clearer product-page guidance before choosing size, without weight, photos or measuring tape.

03

For the store

The retailer gets a more useful view of where fit uncertainty appears and which products need stronger guidance.

04

Over time

Where signals are available, product, purchase, return and feedback data can help improve recommendations.

Responsible outcomes follow better guidance

Zizr should not be measured as a promise to eliminate returns. It should be measured as a better product-page size experience that can support stronger business outcomes.

Customer confidence

A calmer size decision can make the buying journey feel more personal and less uncertain.

Conversion quality

Better guidance can support more confident add-to-cart decisions where the recommendation is useful.

Fewer wrong-size purchases

More precise choices can help reduce unnecessary size-related purchases, returns or exchanges.

Sustainability as a secondary benefit

When shoppers choose more precisely, stores can reduce avoidable shipping, handling and waste connected to wrong-size decisions.

Results FAQ

What kind of results can retailers expect?

Results depend on category, assortment, traffic, product data and available fit signals. Zizr is designed to improve the product-page size decision, and better commercial outcomes can follow from that.

How fast can we see customer experience signals?

Shopify stores can review the product-page experience quickly through the app path. Meaningful business impact should be measured over enough traffic and orders to be responsible.

Do you guarantee return reduction?

No. Zizr does not guarantee return reduction or perfect fit. It helps shoppers make clearer size decisions, which can reduce wrong-size purchases where the recommendation and data signals are useful.

What data do you need to measure impact?

Impact measurement can use product data, traffic, orders, selected sizes, returns, exchanges and customer feedback where those signals are available and appropriate.

Can results differ by category?

Yes. Results can vary by category, product type, size behaviour, fabric, cut and the quality of available fit signals.

How do you handle privacy?

Zizr uses a privacy-respecting approach and avoids weight, body photos, measuring tape steps and intrusive body questions in the shopper experience.

Can we start on Shopify?

Yes. Shopify is the fastest route for many stores. Zizr can also support custom platforms through integrations, API or scoped setup.

Review what better size decisions could mean for your store

Share your platform, catalog and goals. Zizr can walk through the product-page experience and the signals worth measuring.