Loop is a predictive marketing intelligence platform that connects to a company's existing marketing automation platform or data warehouse, applies machine learning to enrich and validate customer records, and automatically surfaces high-value "super-segments" ready for campaign activation. The platform requires no PII, includes enterprise-grade security with SSO and role-based access, and provides a proactive action space with notifications and recommendations. It is designed to make enterprise-grade predictive intelligence accessible to modern marketing teams.
Funding
Funding not disclosed
Founders
Product
Problem
Marketing teams often struggle to identify high-value audiences beyond traditional demographic segments, and they lack the data science resources to build and deploy predictive models. Existing data may be incomplete or of poor quality, and activating machine-learning insights typically requires complex integrations and manual workflows that slow down campaign execution.
Solution
Loop is a predictive marketing intelligence platform that connects to a company's existing marketing automation platform or data warehouse, then applies machine learning to enrich customer records, validate data quality, and fill attribute gaps. The platform automatically generates predictions and surfaces high-value "super-segments" — ML-powered clusters of audiences that go beyond traditional demographics — directly into the user's existing tools for immediate campaign activation. Loop includes a proactive action space with notifications and simple recommendations, enabling marketing teams to take targeted actions without needing a dedicated data science team. The platform is designed to be secure and privacy-conscious, requiring no PII and offering enterprise-grade authentication with whitelisted access management and SSO.
Target Audience
Primary customers are modern marketing teams at mid-to-large enterprises that use marketing automation platforms or data warehouses and want to leverage predictive intelligence without building in-house data science capabilities.
Features
- ML-powered super-segment generation that identifies high-value audiences beyond traditional demographic profiles
- Data enrichment and validation engine that fills attribute gaps and ensures data quality before predictions are generated
- Secure enterprise authentication with whitelisted access management, role-based controls, and SSO integration
- Proactive notifications and alerts with a dedicated action space that provides simple, targeted recommendations
- Synthetic data validation and a transparent trust centre for data quality assurance
- Direct integration with MAP and data warehouse sources, with no PII required for processing