|Description||Infinitely Intelligent Algorithms|
ScienceOps creates, validates, and optimizes Algorithms.
Originally specializing in developing algorithmic solutions to help start-ups get off the ground quickly and also working to help established companies develop customized algorithms to optimize their business ROI ScienceOps’ team of Ph.D. Scientists have many years of experience across multiple fields.
Taking a slight shift in Business Model, ScienceOps has now started developing its own line of products and services as well.
Their most recent adventure has been with their new service AdMetrica. AdMetrica is a patent pending set of algorithms that work to optimize Google Content Network (GCN) Advertising.
The cornerstone of AdMetrica’s power comes from its Keyword Optimization Algorithm. AdMetrica is the leading edge of GCN Advertising Technology.
|Tags||ad-network, ad-serving, advertising-algorithm, ad-selection, behavorial-targeting, revenue-optimization|
The purpose of AdSOS (Ad Selection Optimization Server) is to optimally pick the best ads to serve on publisher networks to produce maximum revenue. AdSOS does this by continuously providing for each Ad the best possible predicitons of:
Each prediction has an associated confidence interval that is required by correctly deciding between competing ads to display on a given publisher site and produce maximum revenue.
The algorithms used by AdSOS to prefom these prediction are continuously updated as new data arrives. Using a process of automated updating, testing, and competition ensure the best algorithms are being used to make these critical decisions.
|Tags||google-adwords, content-advertising, content-network, contextual, ad-placement-optimization|
AdMetrica helps Google AdWords advertisers using the content network channel to optimize lists of keywords to find the best adgroup keyword combinations.
It works by creating different combinations of the keywords and then selecting the most effective combinaitons to increase the number of impressions, clicks and conversions. The patent pending algorithm uses impression, click and conversion feedback to continually improve performance