Provides a platform that unifies billing and payment data across systems to create comprehensive customer profiles, leveraging consented PII for improved identity resolution. By applying predictive AI and machine learning, it delivers hyper-personalized recommendations, actionable sales insights, and SKU-level analytics, enabling businesses to optimize marketing, increase revenue, and reduce acquisition costs.
Funding
Funding not disclosed
Founders
Product
Problem
Many businesses struggle to consolidate fragmented billing and payment data, resulting in incomplete customer profiles and hindering effective sales and marketing strategies. The inability to unify this data limits the potential for personalized customer experiences and predictive insights.
Solution
DataBillity offers a platform that unifies billing and payment data from disparate systems, creating comprehensive customer profiles. The platform leverages consented PII to enhance identity resolution and enrich customer profiles with zero-party and anonymized data. By applying predictive AI and machine learning, DataBillity delivers actionable sales insights, SKU-level analytics, and hyper-personalized recommendations. This enables businesses to optimize marketing campaigns, increase revenue, improve customer lifetime value (LTV), and reduce customer acquisition costs (CAC). The platform integrates with existing CDP, CRM, ERP, payment, and e-commerce platforms.
Target Audience
DataBillity targets growth enterprises in digital marketing, fintech, and omnichannel retail that seek to leverage billing and payment data to improve customer experience, maximize profits, and increase customer LTV.
Features
- Data unification: Connects and unifies billing and payment data silos into a master repository.
- Identity resolution: Leverages consented PII data to improve customer identity resolution.
- Customer 360+ profiles: Generates rich, unified customer profiles across channels.
- Predictive AI/ML: Provides predictive sales insights using advanced LLMs and ML models.
- Measurement and analytics: Offers SKU-level data for campaign tracking and optimization.
- Personalized recommendations: Deploys omnichannel, hyper-personalized recommendations.
- Data monetization: Enables secure sharing of consented customer data across a network.
- Anonymized & PII data activation: Securely activates omnichannel experiences with anonymized and consented PII data.