
Ruby.ai is an AI-powered marketing platform designed to automate and optimize the entire marketing process for e-commerce businesses. It tracks cross-website user behavior to provide data-driven insights, enabling personalized interventions, live shopper personas, and targeted campaigns. The platform aims to increase Average Order Value (AOV) by engaging users in real-time through SMS, email, and modals, and by offering personalized cashback rewards. Ruby.ai differentiates itself by providing a holistic view of customer journeys, including competitor pricing analysis, which Mixpanel and Klaviyo reportedly do not offer as comprehensively. The company boasts 50k store partnerships, 1.5M+ user data points, and claims 99% better live interventions. Their business model includes SaaS with tiered pricing (Starter, Basic, Pro, Ultimate, Enterprise) offering various levels of features and support. Ruby.ai is GDPR and CCPA compliant, ensuring secure and anonymized customer data.

Ruby.ai is an AI-powered marketing platform designed to automate and optimize the entire marketing process for e-commerce businesses. It tracks cross-website user behavior to provide data-driven insights, enabling personalized interventions, live shopper personas, and targeted campaigns. The platform aims to increase Average Order Value (AOV) by engaging users in real-time through SMS, email, and modals, and by offering personalized cashback rewards. Ruby.ai differentiates itself by providing a holistic view of customer journeys, including competitor pricing analysis, which Mixpanel and Klaviyo reportedly do not offer as comprehensively. The company boasts 50k store partnerships, 1.5M+ user data points, and claims 99% better live interventions. Their business model includes SaaS with tiered pricing (Starter, Basic, Pro, Ultimate, Enterprise) offering various levels of features and support. Ruby.ai is GDPR and CCPA compliant, ensuring secure and anonymized customer data.
Product: AI-driven marketing platform for real-time personalized interventions across email, SMS, modals, and ads
Data & model: Maintains a Large Retail Model (LRM) trained on retail data (claims millions of data points) for shopper insights
Traction claims: Claims ~50k store partnerships and 1.5M+ user data points
Team size: 7 employees (reported)
Funding: No disclosed funding on searched sources; total_funding_amount reported as 0.00 USD
E-commerce marketing automation and retail intelligence
Marketing technology / Retail intelligence
Total Funding: 0.00 USD