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.
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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 machine learning models can misstate price sensitivity because it ignores 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, with hierarchical Bayesian pooling where the data is thin. For mid-market companies ($100M–$2B), the output is an elasticity number your pricing manager can use and your CFO can audit: confidence bands, an audit trail, and a model that runs inside your own environment and belongs to you. Run through a year of pricing decisions, that discipline is a large part of what produces the typical outcome of a 10–12% increase in operating profit dollars.
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 how each product, customer segment, or channel will respond to different price points. That clarity supports decisions on when to take markups or markdowns, backed by quantified demand responses instead of rules of thumb.
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.
In our experience, pricing in isolation rarely delivers the results you want. That's why our modeling goes beyond just own-price elasticity. We factor in cross-price effects, how substitutes and your own portfolio shape demand, along with competitive price indexes and promotional lift. The result? A pricing strategy that accounts for all the major demand drivers, not just your sticker price.
We build elasticity models in a collaborative and transparent way so that your organization owns the insights and the models:
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 sit down with your pricing, finance, and data teams to co-create a modeling blueprint. Together, we define the key questions each model needs to answer, like own-price, cross-price, or promo lift, broken down by segment and channel. We identify the confounders to control for, select the right variables, and choose the best-fit method for your data. Double Machine Learning is our go-to, but we use causal forests when elasticity varies by segment and hierarchical Bayesian pooling for thin data slices like new SKUs or small customers. This upfront alignment means you get no surprises at validation, just models that answer your real business questions.
We use open-source tools like Python and R, or your BI platform's analytics layer, to build elasticity models directly inside your data warehouse and security perimeter. Our code is transparent and reproducible, with clear documentation so your analysts can understand, rerun, and extend the models themselves. We always right-size the complexity to your data, never adding bells and whistles your data can't support.
We put every model through its paces: validating against holdout history and real business outcomes, running placebo and refutation checks to make sure the causal estimate is real, not just a statistical artifact. Where possible, we confirm the results with designed price tests or geo-lift experiments. Before anyone uses the model for pricing, we run what-if simulations, like testing what happens to volume and profit if prices move up or down by 3%, so you can set practical decision rules and guardrails with confidence.
We don't just hand over a model and walk away. You get the full package: clear documentation, hands-on training, and practical tools your team can use from day one. The elasticity outputs plug directly into your pricing agents, deal desk guardrails, and promo ROI engine, no black boxes, no mystery. Retraining happens on a schedule you control, with drift monitoring built in. Your analysts always review and sign off before any elasticity changes go live. You own the code, and it runs in your environment, so you're never stuck waiting on a vendor for updates or analysis. There's no license fee. If you want ongoing support to keep things running smoothly, we offer a simple managed-services option for a modest monthly fee.
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Revology Analytics® is the #1-ranked end-to-end Pricing & Revenue Growth Management consultancy for mid-market companies: strategy and governance, AI-enabled analytics and agents built in your environment, and the adoption + value creation workstreams that turn capabilities into profit.
Over 225 companies took our scorecard to improve their Revenue Growth Analytics & Management capabilities.
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