I bring structure to fragmented revenue — turning chaos into predictable growth and unlocking hidden revenue.
+24% Lifecycle Conversion
90% GTM Execution Rate
33% Reduction in Funnel Abandonment
Marketing Ops + RevOps + Lifecycle Systems + GTM Infrastructure
I audit fragmented revenue systems across Marketing, Sales, and Product.
I identify breakdowns in lifecycle logic, attribution, automation governance, and GTM workflow — then rebuild infrastructure that scales cleanly.
The result: clearer reporting, stronger vision, and predictable growth.
From Fragmented Stack to Unified Revenue System
The Situation
A scaling B2B SaaS team had outgrown its tools. Marketing ran campaigns in one platform. Sales lived in another. Attribution conflicted weekly. Forecasts changed every executive meeting.
Revenue was growing — but no one trusted the numbers.
Found
• Redundant automation layers
• Conflicting lifecycle stage definitions
• Manual CSV-based attribution reconciliation
Changed
• Standardized lifecycle architecture
• Consolidated orchestration into a single automation layer
• Built unified executive revenue dashboard
Impact
• Restored pipeline visibility
• Eliminated reporting conflict
• Improved forecasting reliability
Standardized GTM Workflow (90% On-Time Execution)
The Situation
Cross-functional launches were consistently delayed. Marketing, Sales, and Product operated with different timelines and no shared accountability model. Execution felt reactive instead of structured.
Found
• Undefined GTM ownership
• Inconsistent campaign deployment processes
• No centralized execution tracking
Changed
• Implemented standardized GTM workflow model
• Defined cross-team accountability checkpoints
• Built structured launch tracking dashboard
Impact
• 90% on-time execution rate
• Faster campaign velocity
• Reduced operational friction across teams
The Situation
Lifecycle messaging was batch-based and static. Every user received the same onboarding and upgrade prompts regardless of behavior. Engagement plateaued. Leadership assumed audience fatigue.The issue wasn’t volume — it was intelligence.
Found
• Manual segmentation
• No behavioral tagging taxonomy
• Automation without behavioral logic
Changed
• Designed behavioral tagging architecture
• Connected product usage triggers to messaging
• Implemented structured lifecycle governance
Impact
• +24% lifecycle conversion
• Increased LTV
• Reduced manual campaign build time
• Audit before optimizing
• Simplify before scaling
• Standardize before automating
• Measure before forecasting
• Build infrastructure that compounds
Predictable growth is not a marketing outcome.
It’s an infrastructure decision.Growth stalls when systems outpace structure.
I rebuild the structure.