Capture the value you create

We help courageous teams turn creative ingenuity into real growth.

ADVANCED SEGMENTATION

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DISCOUNTING

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PACKAGING OPTIMIZATION

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PRICING POWER ANALYSIS

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WILLINGNESS-TO-PAY RESEARCH

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PRICE ELASTICITY ANALYSIS

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REVENUE FORECASTS

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QUANTITATIVE STUDIES

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UNIT ECONOMIC MODELING

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MONETIZATION WORKSHOPS

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FINANCIAL FORECASTS

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ADVANCED SEGMENTATION … DISCOUNTING … PACKAGING OPTIMIZATION … PRICING POWER ANALYSIS … WILLINGNESS-TO-PAY RESEARCH … PRICE ELASTICITY ANALYSIS … REVENUE FORECASTS … QUANTITATIVE STUDIES … UNIT ECONOMIC MODELING … MONETIZATION WORKSHOPS … FINANCIAL FORECASTS …

Our offerings

Executive Workshops and Coaching

  • Conduct executive workshops to develop a working monetization hypothesis rooted in both the contextual reality of the business as well as pricing theory and best practices

  • Provide ongoing advisory and coaching to support executive decision-making, iteration, and business outcomes

Two people working at a table with laptops and paperwork, discussing and analyzing documents.

Qualitative Customer Research

  • Conduct primary qualitative customer, prospective customer, and non-customer research using proprietary techniques to understand willingness-to-pay

  • Use research methods to validate or invalidate core monetization hypotheses

Data Analysis and Optimization

  • Develop revenue and financial projections to predict the impact of a new monetization model

  • Analyze customer, usage, and transaction data to understand segments, value, and willingness-to-pay

  • Forecast and track leading indicators to develop confidence that changes are having desired impact

  • Quantify your company’s pricing power using proprietary ratios and metrics

Quantitative Customer Studies

  • Develop quantitative customer research studies to measure willingness-to-pay and perceived customer value

  • Quantitatively define packages and bundles that perfectly match your customer value proposition, segments, and elasticity

Rollout and Experimentation

  • Develop Key Performance Indicators (KPIs) and metrics to monitor projected vs. actual business impact

  • Build sales collateral and enablement materials (CPQs, battle cards, etc.) to support revenue execution

  • Create experimentation plans to gather data-driven insights and reduce rollout risk

Our methods and tools

  • We bring together small groups of executives for 2-day sprint workshops to align on the fundamentals of pricing and monetization to make critical decisions for their business.

  • We leverage elasticity modeling, conjoint analysis, Bayesian optimization, multi-dimensional sensitivity analysis, regressions, simulations, and more to deliver critical pricing and monetization insights.

  • We run quantitative studies and leverage advanced statistical survey methods to gather primary customer research and preferences on willingness-to-pay.

  • 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.

  • We meet with customers and conduct interviews to assess willingness-to-pay, packaging and bundling preferences, and refined segmentation by demand archetypes.

  • We help to define key performance indicators (KPIs) and success metrics to ensure monetization outcomes are fully aligned to overall organizational objectives.

  • We will give best practices, project management guidance, and templates for rolling out business model and pricing changes to customers that maximize satisfaction.

  • 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.

A person coding on a computer at an indoor tech workspace with focused lighting, surrounded by monitors and other people working in the background.

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.

Method

Crescendo conducted market research and data analysis to determine the willingness-to-pay for the product and the variance in price elasticity by customer segment.

Solution

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.

Impact

1 month after launch, the company saw a 20% increase in conversion rates post-trial. Usage remained in-line with expectations, resulting in accelerated revenue growth.

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