Sidecar Raises $8M

What does Sidecar do?

Sidecar, is an e-commerce marketing technology. It is a machine learning technology which leverages big data for delivering programmatic marketing decisions for e-commerce companies. This machine learning technology connects e-commerce products to the right consumers, across key marketing channels with precision. The company programmatically connects retailers products to the most relevant consumers. It solves the complex and data intensive process of consumer connections to relevant retail products, in all pain marketing channels where the consumers do shopping. This company is taking relevance to the next level, enabling retailers to display the right product advertisements to the customers most likely to buy them at the right moment.
How much Sidecar was funded?

Sidecar raised $8M in Series B round on November 20, 2015 from ARC Angel Fund, Ben Franklin Technology Partners of Southeastern Pennsylvania, Innovation Capital Advisors, Nextstage Capital, Robin Hood Ventures, Paul Melchiorre, Michael G. Rubin, Michael Phelan, Tony Ibarguen, Jonathan A. Brassington,  Osage Venture Partners, Sashi Reddi and Ascent Venture Partners

Previous funding

• $2.52M in Series A on November, 2011 from Michael G. Rubin, MAG Fund, Innovation Ventures, ARC Angel Fund, Nextstage Capital and Gabriel Investments
• $1.5M in Series A on December, 2012 from ARC Angel Fund, Gabriel Investments, Michael G. Rubin, Innovation Ventures, Robin Hood Ventures and Nextstage Capital.
• $3.1M in undisclosed round on June 4, 2014 from Osage Venture Partners and Michael G. Rubin

What is next for Sidecar?

Sidecar plans to use the funding for further developing its technologies which optimize product advertising channels and will also make investments in sales and marketing for continuing feuling growth and satisfying the demand for its marketing technology.

More about Sidecar

Sidecar was founded in 2010 by Andre Golsorkhi. It has its headquarters in Philadelphia, PA.The company considers 1.2 M data points on an average each day for analyzing and indexing each product in the retailer’s catalogue for ensuring profitable growth out of paid customer acquisition channels across all the devices.