Used by enterprises like:
Real-Time Behavioral Intelligence
Understand intent and act instantly
SaventData uses self-learning behavioral models to analyze live user signals, predict outcomes, and trigger personalized actions in real time—without manual rules or constant re-tuning.
Features
Real-Time Intent Detection
Understand users before they convert or churn by analyzing their behavior in real time.
Automated Decisioning
Trigger personalized experiences automatically without manual rules, ensuring timely and relevant actions.
Multi-Channel Actionable Signals
Turn insights into results via APIs, alerts, and workflows across all your channels.
Predictive Recommendations
Deliver personalized suggestions that drive engagement and revenue based on predicted intent.
Categorical Trend Change Monitoring
Numeric Distribution Monitoring
Sentiment Shift Monitoring
AI-Powered Smart Alerting
24/7 Monitoring
Supports Your Data Infrastructure
Postgres
Snowflake
Databricks
Redshift
BigQuery
Tableau
Power BI
Sisense
Looker
New Relic
Mixpanel
Industries
Real-time behavioral intelligence delivers measurable outcomes across sectors.
Gaming
High-value players are hard to identify early. Our solution predicts “whales,” retains at-risk players, and delivers targeted offers that boost ARP/DAU.
E-commerce
Standard segments limit campaign precision. Our platform triggers real-time behavioral campaigns to improve conversion, reduce churn, and optimize retention investments.
Streaming & Media
Generic recommendations reduce engagement. We help deliver intent-driven suggestions that increase session time, reduce churn, and optimize content engagement.
Fintech & Banking
Limited insight into clients and fraud risk. Our solution detects fraud proactively, identifies high-value clients, recommends tailored products, and optimizes cross-sell/upsell opportunities.
Designed For
Executives
Turn data into growth—forecast trends, spot opportunities, and make decisions that boost revenue.
Product Owners
Leverage automated insights from user behavior and audience segmentation to prioritize initiatives and accelerate product engagement and user growth.
Data Scientists, Analysts, and Engineers
Harness ML and predictive analytics to extract high-value insights, identify growth opportunities, and inform strategies that accelerate revenue and user expansion.
