How it works?
Proprietary Deep Learning
Browsi’s algorithm collects data on your pages, users (non - personally identifiable), ads and many more. Once enough data is collected our engine creates a model that can predict, per user and article, the probability for a single ad placement to be viewed. For some articles, metrics like scroll depth and geolocation affect viewability the most, and for others, scroll velocity and time of day - and at times there is a more equally weighted impact. Browsi detects every feature and impact it has on viewability - and uses them to properly predict.
Stop impression waste on Direct Campaigns
Serve only viewable impressions to campaigns that require only viewable impressions, and make viewability work for your organization.
Leverage viewability for Programmatic
Increasing viewability by 10% can increase bids by 30% and more. Browsi enables media outlets divert viewable impressions to the programmatic markets and increase yield instantly.
Control the viewability threshold
With Browsi predictor you can decide your precise viewability threshold and exclusively create ad placements that meet your requirements.
Simple, rapid integration
To connect the predictor, simply create a new set of key-values on your ad server and connect those with the appropriate line items.
How it Works
Learn how Browsi's platform automatically manages ad inventory in real-time, per article, for better ad viewability, higher revenue and satisfied userCheck it out
Our knowledge base is available to help you navigate our platform quickly and efficiently. It includes "how to"s, integration documents, FAQs and moreLearn more