After a decade of start-up success and thought leadership in SEO, SEM and Landing Page Optimization, Jonathan Mendez realized many of the same operating principles of search indexing and landing page optimization could be applied to create a revolutionary operating system for premium display and web-based mobile advertising.
Yieldbot was founded on Valentines Day 2010. Today, Yieldbot is a trusted first-party partner with many of the world’s largest media companies and is delivering measured marketing for prestigious consumer brands. We are the living embodiment of a disruptive technology.
Yieldbot’s ability to capture, organize and activate the real-time consumer intent of the click-stream has created a new currency. A currency bought and sold on a performance basis on Yieldbot’s “Intent Stream™,” the real-time flow of consumer intent through 2 billion monthly premium page views.
Yieldbot is backed by RRE Ventures, New Atlantic Ventures, KBS+ Ventures, Betaworks, Common Angels and Neu Ventures. Yieldbot is made in Boston, sold in NYC & SF and is capturing intent across the Unites States of America.
From Digiday posted December 5th, 2013 in Company News
The most amazing thing about the Federal Trade Commission’s workshop about native advertising Wednesday morning is that it happened at all. As Yieldbot CEO Jonathan Mendez noted...
From Marketing Land posted October 3rd, 2013 in Company News
Publishers in women’s programming verticals such as food and recipes, home and garden, style and health and wellness have found a deep, high volume source of referral traffic from Pinterest.
From Ad Age posted October 3rd, 2013 in Company News
Pinterest may have quickly arrived as a major source of traffic to many websites, but those visitors may click on the ads they see there less often than others.
flambo is a Clojure DSL for Spark created by the data team at Yieldbot. It allows you to create and manipulate Spark data structures using idiomatic Clojure. The following tutorial demonstrates typical flambo API usage and facilities by implementing the classic tf-idf algorithm.