Screenlake provides a privacy-preserving SDK that passively logs every brand encounter, ad view, and purchase on a smartphone 24/7. This behavioral stream enables clients to deliver unprecedented brand lift measurement, brand safety, and true share of voice across all mobile applications. The platform helps optimize marketing spend by de-duping ad audiences and provides growth insights based on user affinities and paths-to-install.
Funding
$756.5K raised to dateRaised 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.
Founders
Product
Problem
Businesses struggle to understand real-time consumer engagement with their brands across various mobile platforms due to the fragmented nature of user data and the limitations of traditional market research methods. Existing solutions often rely on incomplete or biased data sources, making it difficult to gain a holistic view of consumer behavior and brand performance.
Solution
Screenlake provides privacy-preserving consumer intelligence by analyzing billions of anonymous, cross-app user journeys. Their technology captures real-time consumer engagement with brands across various platforms, offering businesses actionable insights into brand performance, user acquisition strategies, and emerging trends. By breaking down data silos and leveraging edge computing, Screenlake delivers a comprehensive view of consumer behavior without relying on personally identifiable information (PII). This approach enables businesses to identify new brand and app partnerships, optimize user acquisition efforts, and monitor brand sentiment across a wide range of digital channels.
Target Audience
Screenlake's primary customers include F50 corporations, R1 Universities, consumer startups, and agencies seeking to understand consumer behavior and optimize their marketing strategies.
Features
- Real-time monitoring of consumer engagement with brands and topics across 100,000+ platforms.
- Cross-app user journey analysis to identify patterns and trends in consumer behavior.
- Identification of potential brand and app partnerships based on audience overlap.
- Measurement of ad reach and incrementality across different platforms.
- Sentiment analysis to track brand love and monitor conversations around specific topics.
- Cross-app install and churn analysis to understand user acquisition and retention patterns.
- Edge computing technology for privacy-preserving data processing on user devices.
- Subscription dashboards for app intelligence, brand intelligence, and social listening.