About Screenlake

Screenlake utilizes privacy-preserving technology to analyze billions of anonymous cross-app user journeys, capturing real-time consumer engagement with brands across various platforms. This approach provides businesses with actionable insights into brand performance and user acquisition strategies without relying on personally identifiable information.

```xml <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. </problem> <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. </solution> <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. </features> <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. </target_audience> <revenue_model> Screenlake generates revenue through custom consulting projects, streaming data sales, and subscription-based access to their self-serve data platform and dashboards. </revenue_model> ```

What does Screenlake do?

When was Screenlake founded?

Screenlake was founded in 2022.

How much funding has Screenlake raised?

Screenlake has raised 756500.

Founded

2022

Funding

756500

Employees

3 employees

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Screenlake

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Executive Summary

screenlake.com 200+

Crunchbase

Founded 2022

Funding

Estimated Funding

$500K+

Team (<5)

No team information available.

Company Description

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.

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.

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.

Revenue Model

Screenlake generates revenue through custom consulting projects, streaming data sales, and subscription-based access to their self-serve data platform and dashboards.