Monetize your data at scale and improve your bottom line
Turn your high-quality Customer Data into a product available to a broad market. Seamlessly, securely, with built-in compliance, data governance and consent management.
Trusted by:
Data monetization is on the rise
A growing number of businesses are successfully creating new revenue streams through Customer Data monetization. Although potentially lucrative, it presents technical, legal, and security challenges. The need for 1:1 custom integrations with various customers can significantly affect the profitability of these initiatives.
Trusted Twin provides all necessary functionalities and scale to overcome these challenges.
Advanced security
Industry best practices combined with Privacy Enhancing Technologies (PET) ensure the highest security standards for your data.
Demand aggregation
Make your data available to multiple Data Users with one easy integration.
Seamless integration
Our technology-agnostic API, webhooks, SDKs in multiple languages, and comprehensive documentation make integration smooth and easy.
Compliance and data governance
Ensure compliance with privacy regulations through our built-in compliance, data governance, and consent management.
Share Raw Data or Insights
How it works?
Transform Your Customer Data into a Profitable Revenue Stream in Four Steps
Use case
A Buy Now, Pay Later (BNPL) company requests specific customer data from a Payment Service Provider (PSP), contingent on customer consent. With access to transaction history or RFM (Recency, Frequency, Monetary) profiles, the BNPL can serve significantly more customers while reducing risk.
Potential partnerships
Data Provider
Data User
data science platform
psp
DSP
BNPL
A Buy Now, Pay Later (BNPL) company lacks high-quality data required to serve the right customers.
Payment Service Provider (PSP) provides specific customer data to Data Science Platform (DSP) based on customer consent and delivers customer scoring to BNPL.
RETAILER
BRAND
Retailer create rich customer profiles based on collaborative data.
Brands use these profiles to reach the right audience through the Advanced Retail Media Network such as reactivating inactive customers through the Retailer channels.
bank
telco
A bank performs a permission-based lookup into a telco’s customer data to detect SIM swapping fraud.
A telco confirms customer identity with major banks through a single point of integration.
telco
Insurance
An insurance company targets specific telco customer subsets.
The telco provides aggregated data, enabling insurance companies to build lookalike audiences.
Single point of integration for Customer Data
Trusted Twin navigates you through complex regulations, technical barriers, facilitating real-time data collaboration that respects privacy, allows access control and ensures data integrity.
Data Collaboration
Our platform features granular data governance, supports unlimited collaborators, and adopts an object approach for both individual and aggregated customer data analysis.
Real-time
Our system offers seamless integrations through APIs, provides instant data access, and ensures real-time updates.
Privacy and Security
Our solution incorporates Privacy Enhancing Technologies (PET), ensures GDPR compliance, and manages consent effectively for zero-party data.