For many frustrated consumers, online clothes shopping is an art, not a science. We too often buy with uncertainty about whether we’re getting the right size and how the item will fit where. Finding the perfect fit is no easy feat — with inconsistent sizes found across brands — and that’s why customers often end up relying on trial and error.
It’s a pain point that leads to high return rates and miserable user experiences, but DreamIt Ventures grads Clothes Horse believes it has the solution. With a data-driven approach, Clothes Horse offers a white-label technology, which lets customers discover the best clothing sizes for their body type alongside product fit ratings.
We’ve kept tabs on Clothes Horse since its debut, and now the company is launching 12 additional retail partnerships, featuring Nicole Miller, Frank & Oak, Von Vonni and Ledbury.
In addition, Clothes Horse is announcing a partnership with tag management platform BrightTag allowing the company to further expand its distribution. BrightTag helps customers leverage their data collection from tags, and unify data across multiple marketing and analytics services. Clothes Horse will now be able to take advantage of BrightTag’s wide retail network by providing instant activation of its fit and sizing widget.
Beyond Clothes Horse’s core recommendations product, the company also offer real-time analytics to help retailers more efficiently plan, design, and produce clothing. This combination of additional insight and enhanced revenues has apparently led to a 10x ROI for the startup’s typical retail partner. To top it off, installation is free.
Brands use Clothes Horse to sell everything from dresses to dress shirts, and by providing greater consumer confidence on how a product will fit, Clothes Horse’s software can lead to fewer abandoned shopping carts and more satisfied customers. E-commerce, with much less compromise.
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