Every company is unique
We craft engagements to meet your needs
ADVANCED SEGMENTATION
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DISCOUNTING
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PACKAGING OPTIMIZATION
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PRICING POWER
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WILLINGNESS-TO-PAY
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PRICE ELASTICITY
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FINANCIAL FORECASTS
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QUANT STUDIES
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UNIT ECONOMIC MODELS
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MONETIZATION WORKSHOPS
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FINANCIAL FORECASTS
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ADVANCED SEGMENTATION … DISCOUNTING … PACKAGING OPTIMIZATION … PRICING POWER … WILLINGNESS-TO-PAY … PRICE ELASTICITY … FINANCIAL FORECASTS … QUANT STUDIES … UNIT ECONOMIC MODELS … MONETIZATION WORKSHOPS … FINANCIAL FORECASTS …
How we do it
Validate
Test pricing hypotheses with customer research, including customer and prospect interviews
Field large scale quantitative studies to measure willingness-to-pay
Ensure that pricing is neither confusing nor unfair in the eyes of the customer
Design
Craft a testable hypothesis through best practices, case studies, and executive workshops
Understand the product drivers of value and how customer needs differ by segment
Use data analysis to find signals of elasticity and willingness-to-pay
Grow
Model the business impact of changing to a new monetization model
Implement and execute a rollout plan, including operations and customer communication
Forecast and track leading indicators to know that the change is successful
What we do
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We bring together small grouops of executives for 2-day sprint workshops to align on the fundamentals of pricing and monetization to make critical decisions for their business.
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We leverage elasticity modeling, conjoint analysis, Bayesian optimization, multi-dimensional sensitivity analysis, regressions, simulations, and more to deliver critical pricing and monetization insights.
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We run quantitative studies and leverage advanced statistical survey methods to gather primary customer research and preferences on willingness-to-pay.
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We model and forecast pricing leverage, unit economics, financial statements and business impact, financial churn and retention, price elasticity, willingness-to-pay by segment, and more.
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We meet with customers and conduct interviews to assess willingness-to-pay, packaging and bundling preferences, and refined segmentation by demand archetypes.
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We provide tailored, specific, and measurable pricing and monetization recommendations fit for purpose for your organization while aligning to the core tenets of pricing theory.
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We will give best practices, project management guidance, and templates for rolling out business model and pricing changes to customers that maximize satisfaction.
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We provide guidance and support in setting up your billing system, CPQ, pricing infrastructure, and deal desk to ensure strategy meets execution and operational success.
Case Study - AI Company Launches a New Product
Problem
A mid-sized software company was launching a new AI-based product that, if used frequently, would cause the company to bear massive costs from cloud and LLM providers.
Approach
Crescendo relied heavily on market research and data analysis to determine the willingness-to-pay for the product, and how price elasticity varied by customer segment.
Recommendation
Rather than tie the price to forecasted costs, the company created a new set of bundles that more heavily featured the AI product. Then they repriced the bundles to account for the extra value the new product was creating for customers.
Result
1 month after launch, the company saw a 20% increase in conversion rates post-trial. Usage remained in-line with expectations, leading to fast but measured growth.
