The Apivom platform architecture explained
A deep dive into the six-layer architecture of Apivom platform - how Apivom Atlas, Apivom Pivot, Iris One, Apivom Vesta, Apivom Orbit, and Apivom Mars work together to maximize Customer Lifetime Value.
The Apivom platform is built on a carefully designed six-layer architecture. Each layer serves a specific purpose while working with the others to deliver comprehensive customer success capabilities.
The six layers of Apivom
Our platform name is an acronym representing each core component:
A - Apivom Atlas: central integration hub
Atlas serves as the nerve center of the Apivom platform. It connects your existing tools - CRM, billing systems, support platforms, and analytics tools - into a unified data ecosystem.
Key Features:
- Real-time data synchronization
- 50+ native integrations
- Custom API connectors
- Event-driven architecture
P - Apivom Pivot: customer health dashboard
Pivot provides real-time visibility into customer health through intuitive dashboards and scorecards.
Key Features:
- Customizable health scores
- Risk indicators
- Trend analysis
- Executive reporting
I - Iris One: customer success management
Iris delivers a complete 360-degree view of every customer, enabling proactive success management.
Key Features:
- Customer journey mapping
- Success milestone tracking
- Task automation
- Renewal management
V - Apivom Vesta: content and engagement
Vesta powers dynamic content delivery and engagement tracking across all customer touchpoints.
Key Features:
- Personalized content delivery
- Engagement scoring
- Resource center management
- Usage analytics
O - Apivom Orbit: behavior analytics
Orbit tracks and analyzes customer behavior patterns to identify opportunities and risks.
Key Features:
- Product usage analytics
- Feature adoption tracking
- Cohort analysis
- Predictive insights
M - Apivom Mars: marketing automation
Mars orchestrates personalized marketing campaigns based on customer lifecycle stage and behavior.
Key Features:
- Lifecycle campaigns
- Behavioral triggers
- A/B testing
- Attribution analytics
The AI layer: Apivom Staff
Sitting above all six layers is Staff, our AI-powered workflow automation engine. Staff uses machine learning to:
- Predict customer churn risk
- Recommend next best actions
- Automate routine tasks
- Surface insights from data patterns
Architecture benefits
- Modularity: Deploy only what you need
- Scalability: Grows with your business
- Integration: Works with existing tools
- Intelligence: AI-powered throughout
Getting started
Ready to explore the Apivom platform? Request a demo to see how our architecture can transform your customer success operations.