Co-founder & CEO
Profile summary: BS in Computer Science and Economics at The Open University of Israel
Browsi
Browsi utilizes real-time behavioral data analysis and machine learning algorithms to deliver personalized ad placements that enhance user experience and maximize revenue for media and tech companies. By optimizing ad layout and targeting, Browsi improves key performance indicators such as revenue per mille and viewability while reducing latency and invalid traffic.
- Advertising Technology
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 7 months ago
Funding
Raised to date
$16MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Publishers struggle to balance revenue generation through advertisements with maintaining a positive user experience on their websites. Traditional ad placement strategies can be disruptive, leading to decreased user engagement, increased page latency, and ultimately, reduced revenue.
Solution
Browsi offers an AI-powered platform that personalizes ad placements in real-time to optimize both user experience and revenue for media and tech companies. By analyzing over 150 real-time user behavioral data points, Browsi's machine learning algorithms predict user behavior and dynamically serve the right ad, at the right time, in the right location. This approach ensures that ads are relevant and non-intrusive, leading to increased viewability, reduced invalid traffic, and improved revenue per mille (RPM). The platform allows publishers to set UX rules to define their ideal ad experience and provides a console to monitor activity and gain actionable ad insights.
Target Audience
Browsi's primary customers are media companies, publishers, and technology companies that rely on advertising revenue and are seeking to improve user experience while maximizing ad performance.
Features
- Real-time analysis of 150+ user behavioral data points to predict user behavior.
- AI-driven personalization of ad placements based on user behavior.
- Dynamic ad layout optimization to maximize key performance indicators (KPIs).
- Reduction of page latency through optimized ad delivery.
- Real-time monitoring and reporting dashboard for tracking ad performance.
- Customizable UX rules to define the ideal ad experience.
- Compatibility with header bidding wrappers like Livewrapped for easy integration.