StradexAI
I've led pricing changes for 4,000+ enterprise customers and business model transformations that grew recurring revenue 3x. Let me help you capture more value without losing customers.
Revenue Increase
Margin Improvement
Customer Churn
ROI
Market conditions support higher prices...but you're afraid to test them without data
Cost-plus pricing leaves millions on the table...but you don't know what customers will actually pay
Some customers would pay more...but which ones? And how much before they churn?
Leadership needs proof...that pricing changes won't kill retention
I don't do theoretical pricing consulting. I've been in your seat, responsible for revenue, retention, and results when implementing major pricing changes.
Customer segmentation by willingness-to-pay
Competitive pricing analysis
Financial modeling of pricing scenarios
Risk assessment (which accounts might churn)
Executive recommendations with ROI projections
Deliverable: Strategic pricing plan with account-level recommendations
Sales enablement (defend new pricing)
Finance integration (billing systems)
Customer communication strategy
Pilot program with test accounts
Real-time monitoring and adjustments
Deliverable: Executed pricing rollout with measured results.
Performance dashboard tracking
Continuous refinement
New customer pricing frameworks
Long-term pricing governance
Deliverable: Sustainable pricing capability built into your organization
AI changes what customers value—and breaks traditional pricing models. I help companies through pricing transformations when AI/automation fundamentally shifted their value proposition.Pricing models I help companies navigate:
Consumption-based - Per API call, token, or compute hour. Aligns with cloud costs but creates unpredictable bills and revenue volatility.
Outcome-based - Charge for results delivered (leads generated, errors prevented, time saved) rather than inputs consumed. Captures more value but requires proving measurable ROI.
Performance-based - Tie pricing to accuracy thresholds, uptime SLAs, or quality metrics. Creates alignment but adds pricing governance complexity.
Value-based packaging - Structure offerings around customer value drivers, not your cost structure. Bundle features based on what segments will actually pay for.
Infrastructure-aware - Multi-tenant vs. dedicated instances have 10x cost differences. Your pricing must reflect these realities without exposing margins.
Post-sales cost management - Models drift, inference costs spike, cloud providers change rates. I build pricing that protects margins as costs evolve after the sale.
The difference between 2x revenue capture and commodity pricing often comes down to whether you price the capability, the outcome, or the performance—and whether your pricing survives cloud cost volatility and production realities.
SaaS & Cloud Platforms - Usage-based to value-based transitions, multi-tenant pricing, enterprise negotiation frameworks
AI/ML Companies - Outcome-based pricing, inference cost management, model performance tiers
Professional Services - Value-based packaging, retainer structures, advisory pricing models
B2B Marketplaces - Multi-sided pricing, take rates, subsidization strategies
B2C Services - Value-based pricing, loyalty program, referral financial models
Every industry has unique pricing dynamics. I've navigated SaaS enterprise pricing, AI infrastructure economics, and service-based value capture.
Experience the advantage
Most pricing consultants hand you a deck and walk away. I stay through implementation because that's where the real work happens.I've lived through:
Pricing increases across thousands of enterprise accounts
Sales teams resisting change ("our customers will leave")
Finance systems that weren't built for new models
Executives demanding proof before committing
The chaos of implementation when theory meets reality
This experience means I know where implementations break—and how to fix them before they cost you customers or revenue.
Relevant Experience
Challenge: Company needed to implement pricing increases across 4,000+ SaaS customers, including enterprise accounts representing 40% of revenue. Sales team concerned about churn.Approach:
Segmented customers by value and price sensitivity.
Created surgical pricing strategy—some accounts got 5% increases, others 25%.
Built sales enablement program. Monitored in real-time.
Results: 18% revenue lift with less than 3% churn, almost entirely from accounts leadership was willing to lose.
Challenge: High acquisition costs, inconsistent retention across 12 locations. No systematic loyalty. High risk referral approach. Needed value-based pricing for service tiers.Approach:
Customer journey mapping across all locations.
Value segmentation by preferences, spending, retention drivers.
Designed tiered loyalty program. Pilot in 3 locations first.
Results: Significant increase in customer lifetime value, double-digit retention improvement, successful rollout across all locations in 6 months.
Pricing Relevance: Required segmentation, willingness-to-pay research, pilot testing, multi-location change management.
Challenge: Transform traditional hardware VAR to AWS subscription business. Required complete business model change, new pricing structure, sales comp redesign, finance overhaul.Approach:
Built subscription pricing from scratch.
Redesigned sales compensation.
Implemented new finance systems.
Created comprehensive enablement program.
Results: 3x growth in recurring revenue over 24 months. Successful transformation with minimal customer loss.
Contact
Let's have a no-pressure 30-minute call to see if there's a fit. I'll share initial thoughts on where your pricing opportunity might be, and you can decide if you want to move forward.
Or email me directly: [email protected]

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