.png)
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Monetizely tackles pricing complexity through a multi-faceted approach based on operational expertise and data-driven methodologies:
Operational Experience Over Generic Solutions
Our approach is grounded in 28+ years of hands-on pricing leadership at companies like Zoom, Twilio, DocuSign, Narvar, Squarespace, and LinkedIn. Unlike standard methods that can be expensive and difficult to implement (such as high-cost conjoint analysis at $150k+), we bring practical experience dealing with real-world pricing complexities including:
- CPQ systems
- Engineering feature flags
- Billing systems
- Sales compensation adjustments
- Financial analysis
Comprehensive Data Analysis
We break down pricing complexity through three core empirical research approaches:
Tier/Package Performance Analysis - Evaluating pricing performance across average deal size, upsell rates, discounting, and shelfware to ensure optimal fit between pricing and go-to-market strategy
Price Bearing Analysis - Assessing $/metric performance across sales teams, geographic regions, segments, and product lines to understand pricing power
Usage Analysis - Examining product usage patterns to verify alignment with selected pricing metrics
Practical Implementation Support
We don't just design pricing strategies - we help implement them through:
- Development of pricing calculators and sales enablement materials
- Internal training programs to ensure organizational alignment
- Customer communication strategies
- System updates and implementation roadmaps
Balanced Research Methodology
Our approach combines multiple pricing research methods:
- Statistical/Quantitative: Van Westendorp Surveys, Conjoint Analysis, Max Diff
- Empirical: Analysis of existing pricing power and tier/package performance
- In-Person Qualitative: Direct validation with clients and prospects
This balanced methodology allows us to handle pricing complexity with solutions that are both theoretically sound and practically implementable in real business environments.