Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities—fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities—fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
Standard regression elasticity can overstate price sensitivity by ignoring promo timing, competitor moves, and seasonality. Revology co-designs and builds causal AI elasticity engines using Double Machine Learning (DoubleML) and causal-forest methods to isolate the true effect of price on demand. For mid-market companies ($100M–$2B), the output is an elasticity number your pricing manager can use and your CFO can audit. The model runs inside your stack, with confidence bands and an audit trail. Revology's 2025 analysis of roughly 2,000 public companies found that a 1% price increase typically yields 6.4% profit improvement.
Elasticity numbers need to survive finance scrutiny. Revology co-designs and builds causal AI elasticity engines using Double Machine Learning (DoubleML) and causal-forest methods inside your stack.
Know exactly how each product, customer segment, or channel will respond to different price points. This clarity empowers data-driven decisions on when to take markups or markdowns, backed by quantified demand responses.
Avoid harmful price moves by quantifying “volume hurdles.” Elasticity models reveal when a price cut would require unrealistic volume gains to break even, or conversely, identify how much volume loss a price increase would likely cause. This helps you set safe boundaries for pricing actions to protect margin.
A sophisticated elasticity analysis lets you anticipate competitor reactions and plan defense or offense accordingly. Knowing your own-price and cross-price elasticities means you can predict how a competitor’s price change might affect your sales – and prepare a response in advance.
Our modeling doesn’t stop at just “own-price” elasticity. We incorporate cross-price elasticity (how substitutes affect your demand), competitive price index impacts, and even promotional lift factors for a full picture of market dynamics. This holistic approach ensures your pricing strategy considers all major demand drivers, not just your own pricing in isolation.
We build elasticity models in a collaborative and transparent manner so that your organization truly owns the insights:
We start by examining all relevant data – e.g. transaction sales data, historical pricing and discount records, competitor price tracking, promotional calendars, and market data from retailers or syndicated sources. Based on this, we define the scope of modeling (which product lines, time horizons, competitor set, etc.) and ensure data quality and granularity are sufficient for robust analysis.
Next, we co-develop a modeling blueprint outlining candidate variables, the model methodologies to be used (regression vs. machine learning, or a hybrid), and the specific business questions the model will answer. This step secures stakeholder alignment and buy-in before any heavy analysis begins.
Using open-source tools (Python, R) or integrated analytics within your BI platform, we build the elasticity models according to the agreed blueprint. We favor transparent, reproducible code so that your analysts can understand and adjust the model over time. Each model is tailored to your data availability and can range from simple regression to complex non-linear ML models as appropriate.
We rigorously validate each model’s accuracy against holdout historical data and real-world outcomes. Once validated, we conduct scenario analysis (“what-if” simulations) – for example, modeling the impact on volume and profit if prices were 3% higher or lower – to ensure the model’s predictions are sensible and to help calibrate decision rules.
Finally, we deliver the models along with detailed documentation and hands-on training sessions. Because you own the underlying model code and it runs in your environment, you won’t be dependent on external vendors for updates or ongoing analysis – your team gains the capability to maintain and extend the elasticity modeling in-house.
This manual is designed for CEOs, CFOs, CCOs, Pricing and RGM leaders, and commercial analytics teams at mid-market CPG manufacturers. It outlines six decision modules,
Build best-in-class pricing analytics & optimization capabilities for your brands.
A practitioner’s field guide to the questions about pricing that actually move margin: what to ask, how to answer them with data, and how to
This guide offers a governance-focused approach for pricing, finance, and commercial leaders to convert list prices into protected pocket margins. It includes a 7-step framework,
A causal-inference framework for pricing and revenue management teams that need cleaner elasticity signals than typical regression models can deliver. The illusion of predictive pricing:
A reproducible framework for pharma price realization — product
equivalence, Right-to-Price, pack architecture, and elasticity. Download the May 2026 whitepaper.
Centered on proven best practices, Revology Analytics® provides Revenue Growth Analytics advisory services and thought leadership, driving profitable revenue growth for middle-market companies.
Over 225 companies took our scorecard to improve their Revenue Growth Analytics & Management capabilities.
Copyright@2026 Revology Analytics LLC