Optimizely, Inc.

Google Inc.

Dan Siroker

Elliot Kim

Pete Koomen

Eric Siroker

Kai Chen

Mark Rose

Joerg Heilig

James A Gallagher

Abhinay Sharma

Dustin S Jackson

Wendy McKennon

Robert Kniaz

Nicholas Charles Fox

Scott S Benson

Bhavesh R Mehta

Andrew E Silverman

Markus Mock

Benjamin A Hardy

Zachary Leach

Whelan Jefferson Boyd

Hao Xia

A method includes detecting a first plurality of user interactions with first dynamic content of a website. The method further includes detecting a second plurality of user interactions with second dynamic content of a website. The method further includes providing a graphical user interface (GUI) that illustrates the first and second pluralities of user interactions to a client device. The method further includes determining a correlation between the first and second plurality of user interactions and a conversion metric. The method further includes determining, by a processing device, that the first dynamic content has a higher conversion metric than the second dynamic content. The method further includes sending a first variation recommendation for the first dynamic content to the client device.

Dynamic content recommendation for responsive websites

A browsing history associated with a user of a client device is received from the client device. One or more keywords associated with a target audience for a variant of a web page are received from a content provider system. A score is determined for the user based on the browsing history for the user and the one or more keywords associated with the target audience. The user is identified as part of the target audience based on the score for the user satisfying a score threshold. The variant of the web page is caused to be presented at the client device associated with the user.

Identifying dynamic audiences based on user interests

Webpages are optimizing through the use of experiments that compare the responses of viewers that are either presented with the original webpage or a variant thereof. One or more variants are first defined through the use of a browser-based editor application that initially examines the webpage for a snippet of code. The snippet can be added to the webpage, if missing, and the webpage returned to the editor application. Changes made to the webpage to define a variant are saved in variation code. When the webpage is later requested by multiple viewers, in each instance the viewer receives the webpage with the snippet, the snippet instructs the browser to download a file, and the instructions of the file determine whether the viewer will see the variant or the original webpage. Tracking viewer responses to the webpage and the variant allow a statistical basis for comparison to be developed.

Systems and methods for website optimization

Methods, systems, and apparatus, including computer program products, that can include receiving from an advertiser a request for billing based on a first measure of services, determining from quality data related to the advertiser whether the first measure of services can be converted with sufficient confidence to a second measure of services, providing services according to the first measure of services, monitoring stability data indicative of the stability of the relationship between the first measure of services and the second measure of services, and automatically switching from one to another mode of determining a price to be charged the customer for services provided.

Automatically switching between pricing models for services

Growing community of inventors

Palo Alto, CA, United States of America

Dan Siroker