AI-powered engine for real-time, personalized customer engagement and intervention, optimizing conversions, retention, and customer experience.
Vendor
Snowplow Analytics
Company Website
Snowplow Interventions is a proactive engagement engine that enables organizations to compute, trigger, and deliver real-time, personalized interactions to customers at critical moments in their journey. Leveraging both machine learning and rule-based logic, it identifies opportunities for conversion, retention, and customer support by reacting to customer signals across the entire event stream. The platform provides a continuous feedback loop, allowing for the measurement and optimization of every intervention, and integrates deeply with customer-facing applications to deliver timely notifications and assistance, thereby reducing churn and enhancing customer satisfaction.
Key Features
Real-Time Customer Intelligence Computes and reacts to customer signals in real time.
- Defines custom triggers based on customer attributes and behaviors
- Identifies optimal engagement moments across the full event stream
AI-Powered Early Intervention Uses machine learning or rule-based conditions for proactive engagement.
- Acts early in customer journeys to prevent churn and frustration
- Supports both ML-driven and manual trigger logic
Continuous Feedback Loop Automatically logs and measures outcomes of every intervention.
- Refines decision logic based on real-world results
- Enables systematic improvement of engagement strategies
Real-Time Customer Assistance Delivers notifications and support within customer applications.
- Provides immediate in-app actions when customers need help
- Detects frustration or indecision and intervenes accordingly
Personalized Actions and Context Utilizes real-time customer context for tailored engagement.
- Accesses up-to-date profiles for accurate personalization
- Supports dynamic UI changes, pricing, or AI assistant activation
Comprehensive Analytics and Iteration Tracks, measures, and optimizes intervention performance.
- Stores intervention data for analysis in data warehouses/lakehouses
- Supports A/B testing and attribution for continuous improvement
Benefits
Increased Customer Conversion and Retention Engages customers at the right moment to maximize value.
- Drives higher conversion rates by acting on real-time signals
- Reduces churn by addressing customer issues proactively
Operational Efficiency and Optimization Automates and refines engagement strategies over time.
- Minimizes manual intervention through intelligent automation
- Continuously improves outcomes via data-driven feedback loops
Enhanced Customer Experience Delivers timely, relevant support and personalization.
- Reduces customer frustration with immediate, contextual assistance
- Builds loyalty through proactive and personalized engagement