Revenue Intelligence Analyst for Hybrid SaaS
I analyze product signals, customer behavior, and consumption data to build Revenue Intelligence Systems for AI tools and usage-based SaaS helping teams predict, protect and grow recurring revenue across the customer lifecycle.
----Systems engineered for:
15–25% lower monthly churn
30–50% failed payment recovery
50%+ usage-limit breach recovery before the upgrade wall is hit
30/60/90-day recurring revenue visibility
Figures represent industry benchmarks and projected outcomes based on documented PLG SaaS case studies and revenue intelligence implementations. Actual results depend on product maturity, data quality, customer behavior and implementation.
THE BUILDING BLOCKS OF PLG REVENUE INTELLIGENCE
PREDICTIVE CUSTOMER INTELLIGENCE
Turns product usage, behavioral events and subscription data into predictive revenue insights identifying churn risk, forecasting LTV, scoring customer health and surfacing expansion opportunities before revenue is lost.
Outcomes
- Reduced Churn
- Higher NRR
- Better Expansion Targeting
- Faster, Data-Driven Revenue Decisions
LIFECYCLE GROWTH AUTOMATION
Operationalizes Revenue Intelligence by transforming customer signals into automated actions across onboarding, revenue protection, revenue recovery and account growth throughout the customer lifecycle.
Outcomes
- Higher Retention
- Increased Expansion Revenue
- Recovered & Protected MRR
- Reduced Manual Intervention
THE REVENUE GAPS COSTING YOU GROWTH
Built for PLG SaaS teams where product signals, customer behavior and revenue decisions depend on connected data, predictive intelligence, and automated execution.
Customer Signals Stay Disconnected
Support conversations, behavioral activity and CRM data often live in separate systems creating fragmented customer visibility and making it difficult to identify revenue risks and growth opportunities.
Revenue Teams Stay Reactive
Revenue teams often rely on manual decision-making instead of predictive insights, AI-assisted prioritization, and lifecycle automation, slowing responses to churn risk and expansion opportunities.
Risk & Expansion Signals Go Unnoticed
Customers approaching usage limits, showing declining product activity, or nearing plan capacity often display clear, measurable signals but without predictive systems in place, those signals go unnoticed until revenue has already been lost.
Lifecycle Performance Lacks Visibility
Many onboarding, retention and expansion workflows operate without behavioral scoring, attribution, KPI reporting or measurable post-sale outcomes making it difficult to understand what is driving retention and growth.
These are the revenue intelligence gaps my systems are designed to solve, turning disconnected customer signals into predictive insights, automated decisions, and measurable revenue outcomes across the customer lifecycle.
PORTFOLIO
Subscription Health & Revenue Leakage Recovery
Detects subscription risk, failed payments and revenue leakage while automating recovery workflows.
Product-Led Sales (PLS) Expansion Engine
Surfaces upgrade opportunities, scores expansion readiness and connects qualified product users (PQL) to revenue conversations.
Predictive Churn Intelligence
Identifies churn risk in AI agent and automation platforms surfacing task failure patterns, usage decline and customer health signals before cancellation occurs.
Product-Led Adoption & LTV Intelligence
Measures product adoption in AI-native workflows, forecasts customer value and identifies the usage patterns linked to retention and expansion
Activation & Onboarding Intelligence
Improves time-to-first-value through behavior-triggered onboarding workflows, activation tracking and onboarding friction detection.
Meet Blessed
Hi, I’m Blessed Akhetuamen.
I help PLG SaaS teams analyze and transform product signals, customer behavior and revenue data into insights and Revenue Intelligence Systems that help predict, protect and grow recurring revenue across the customer lifecycle. I work primarily with AI tools and usage-based SaaS companies, where consumption and not just logins or feature clicks is the clearest signal of customer health and growth potential.
My work combines Predictive Customer Intelligence, Revenue Analytics and Lifecycle Growth Automation. I design systems that identify revenue risk, forecast customer value, surface growth opportunities and automate the actions that improve activation, retention and account growth.
The goal is ultimately to give teams better visibility into customer health, revenue performance and growth opportunities while reducing the manual work required to act on them.
LET'S UNCOVER THE SIGNALS DRIVING YOUR NEXT STAGE OF GROWTH
Whether you’re looking to improve activation, protect recurring revenue or uncover growth opportunities, I design Revenue Intelligence Systems that help PLG SaaS teams predict, protect and grow revenue across the customer lifecycle.