Top SaaS brands rely on Intellivon to process massive customer datasets and turn them into actionable intelligence that drives retention, personalization, and product innovation.
We worked with a SaaS platform aiming to reduce churn and increase product stickiness. Intellivon deployed an AI-powered analytics engine that uncovered user friction points, enabled predictive retention modeling, and personalized feature recommendations based on real-time usage.
We worked with a SaaS platform aiming to reduce churn and increase product stickiness. Intellivon deployed an AI-powered analytics engine that uncovered user friction points, enabled predictive retention modeling, and personalized feature recommendations based on real-time usage.
Our tools give SaaS businesses the visibility and intelligence they need to turn raw customer data into strategic insights that enhance user experience and fuel growth.
We build custom ML models that align with your data structure and KPIs, delivering accurate, business-ready insights.
Consolidate all customer data across systems into a single source of truth accessible to every stakeholder.
Our tools provide live dashboards and alerts so your team can respond to shifts in user behavior instantly.
Intellivon connects your CRM, product analytics, support platforms, and billing systems to create a full-circle view of the customer journey.
Go beyond what happened, anticipate what users need next with AI that learns from real behaviors, not just historical metrics.
We build tools that fit your ecosystem, not the other way around, ensuring fast adoption and long-term value.
Our process is built to uncover valuable customer insights, turn them into action, and grow your business through every user interaction.
Analyze existing customer data sources, goals, and analytics tools.
Identify key friction points in churn, engagement, and conversion.
Define measurable business KPIs for customer data success.
Evaluate integration requirements across SaaS platforms and teams.
Design a POC that integrates data from your primary customer touchpoints.
Prototype churn models and behavioral dashboards.
Map data journeys across the user lifecycle.
Simulate improvements in personalization, retention, or upsell.
Deploy data pipelines and connect with product and support tools.
Test and train AI models using historical and real-time data.
Build dashboards tailored to product, marketing, and CX teams.
Continuously tune models and dashboards as your product evolves.
Faster modernization cycle
Lower engineering costs
Fewer bugs and reworks
Faster launch timelines
