(PRWEB) October 18, 2012
Pagewiz, the DIY landing page generator, announced today that it is partnering with eye-tracking prediction company EyeQuant.
Using neuroscientific models of human attention, EyeQuant’s eye tracking prediction algorithms accurately forecasts how users view landing pages in the first 3 seconds. This enables marketing professionals to optimize landing page campaigns more efficiently and dramatically improve conversion rates. Companies such as Groupon have used EyeQuant to optimize their conversion rates by 50% or more.
“This is the first time that this kind of capability has been available in any landing page generator software, and we are excited to offer EyeQant’s eye-tracking prediction technology to our customers,” said Arik Liberman, CEO of Pagewiz. “Until today, many customers held focus groups in order to produce the type of insights EyeQuant offers.”
“We're always very excited to partner with great complementary services and companies - Pagewiz' top notch landing page builder and EyeQuant's lightning-fast optimization capacities are simply a perfect match," said Fabian Stelzer, CMO of EyeQuant.
Pagewiz is the do-it-yourself landing page generator that enables anyone to create, publish, and optimize landing page campaigns on the fly. Using top-of-the-line technology, the wizard style interface rolls out landing pages as quickly and easily as a Powerpoint presentation. This frees marketing professionals and small business owners from the lengthy design and IT development process typically required to optimize a landing page and improve conversion rates.
EyeQuant’s technology was developed and patented by a group of neuroscientists at the California Institute of Technology, the University of Southern California and the University of Osnabrueck in Germany. The company's solutions draw on a deep understanding of human visual processes that has been gained of over 20 years of groundbreaking research by the world’s most esteemed attention researchers, Professor Christof Koch, PhD, Professor Peter Koenig, PhD, and Professor Laurent Itti, PhD.