Convert Case Study: Tangiblee
Eliad Inbar is the Director of Sales & Marketing and Founder of Tangiblee, a Size & Context solution for online retailers. “We help online retailers communicate product size and context for Jewelry, Handbags, Wallets, Luggage, Furniture and Home Decor that is similar to an in-store shopping experience”.
Tangiblee utilizes A/B testing from Convert Experiences to prove the value of their solution. Their online Sizing & Context experience helps to increase online retailers’ Conversions, Revenue, Time On Site and RPV while decreasing Returns.
The idea first came about when Inbar was online, buying earrings for his wife. When they arrived, they were much larger than expected – so much so that he returned them. He encountered many stories of people buying a variety of items online that were not the right size or fit. As a result, the concept of Tangiblee was born and subsequently proven within Techstars 2014 accelerator class in Chicago. Since then Tangiblee has catapulted to support top retailers such as: Shop Direct Group, Signet Jewelers, Z Gallerie, Living Spaces, Rebecca Minkoff, Ashford, Titan, Shane Co.,Bellroy, Bling Jewelry, Carat Lane, HipVan and more with an online Sizing & Context solution.
Tangiblee increases Conversion Rate Revenue and Revenue-Per-Visitor (RPV) for online retailers and uses A/B testing as a fundamental part of the sales and implementation process. Their previous A/B testing platform did not offer the flexibility that Tangiblee needed to continuously test their solution on retailers’ websites. Additionally, because Tangiblee delivers new releases and improvements to their platform on a weekly basis, typically running its solution on a subset of the retailer’s catalog, it needed a platform that can easily spawn new tests and support complex rules for dynamically activating the A/B experiment.
How Convert Helped
Familiarity and trust being paramount, we find it is best to use the analytics tool with which the client already works with. This eliminates any potential friction when explaining Convert reports. The client’s own data acceptance is faster from their own analytics tool than any report we can present with Convert Experiences, so we hardly use that for our conclusions.