MyBuys gets $10mm Series B for behavioural recommendations

October 9, 2007

Mybuys_logo_and_tag_line_630x70Merchants looking to emulate Amazon’s incredibly successful — and complex — behavioural recommendation algorithms now have some reprieve in freshly financed MyBuys, one of a few startups seeking to solve the problem of online retailing relevance.

Getting past reviews (which are known to increase conversions), MyBuys seeks to give consumers exactly what they want once they hit your site.  They claim to be so good at it that they’ll increase “revenue per interaction” by 300%.

 The company has a multi-channel approach, driving recommendations to customers through a merchant’s site,9w0007
email and RSS feeds.  It does so by building “deep behavioural profiles on each and every consumer…(modeling) actionable consumer desires from transaction history, explicit interactions with consumers and analysis of their actions while shopping.”

MyBuys touts their ability to customise everything from browsing behaviour, search results, checkout and follow-up emails.

The company is about to launch with Ritz Camera, and partnered with PowerReviews. Competitors include Baynote, Aggregate Knowledge, MyBuys, and GlobalRoads, according to StartupSquad.

Written by Scott Hurff