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What is True Fit?

True Fit is an advanced platform that specializes in utilizing data-driven personalization for retailers in the footwear and apparel industries, skillfully analyzing each consumer's unique style, fit, and size preferences for both shoes and clothing. It boasts the most comprehensive Fashion Genome, representing an extensive database in the nearly $2 trillion global apparel and footwear market. By amalgamating manufacturing design details from numerous prominent brands, anonymized purchasing data from various leading retailers, and individual preference insights from millions of True Fit users, as well as data from hundreds of millions of anonymous shoppers, it expertly links the specific style, fit, size, and other technical attributes of diverse clothing and footwear items to the intricate style preferences and buying behaviors of a vast array of consumers. Through the use of APIs, proprietary software, and cutting-edge intelligence powered by this unmatched dataset, retailers can significantly improve their personalization strategies, providing both themselves and their software collaborators with valuable, actionable insights to enhance customer service. This groundbreaking approach not only transforms how retailers think about personalization but also builds a stronger rapport with their customers, ultimately improving the overall shopping experience and increasing customer loyalty over time.

What is Fit Predictor?

A simple survey with two or three questions can effectively pinpoint the ideal size for users. Fit Predictor harnesses customers' historical purchasing data to formulate a customized Fit Profile that adapts as shopping behavior evolves. This innovative tool provides personalized sizing recommendations for every user, even those without a Fit Profile. In mere seconds, Fit Predictor determines the most appropriate size for a customer by analyzing existing data, thereby removing the necessity for manual measurements. For newcomers who lack previous shopping history, the service can predict the best fit by comparing the customer’s size with those of other brands. At present, Fit Predictor is used by over 40 million individual users each month and is available in ten countries, including the United States. It serves a diverse range of over 7,000 brands, enjoying a robust user community. Significantly, this cutting-edge technology has proven effective in boosting conversion rates while also reducing return rates, rendering it an indispensable tool for retailers. As Fit Predictor continues to evolve, it aspires to enhance the personalization of the shopping experience even further, ensuring that every customer finds their perfect fit seamlessly. Ultimately, the goal is to create a more satisfying and efficient shopping journey for all users.

Media

Media

Integrations Supported

Shopify

Integrations Supported

Shopify

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

True Fit

Date Founded

2009

Company Location

United States

Company Website

www.truefit.com/About-Us/What-We-Do

Company Facts

Organization Name

Secret Sauce

Date Founded

2010

Company Location

United States

Company Website

secretsaucepartners.com/fitpredictor

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

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