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™.
Most mid-market companies price from cost, competitor lists, and last year's increase, then give the margin back in discounts. Pricing to value instead typically delivers 200–400 bps of gross profit in year one, 4–6% gross margin recovery when B2B channel pricing is in scope, and a 10–12% increase in operating profit dollars. Value-based pricing has to run every time a new SKU launches, a segment opens, a competitor moves, or a contract renews, so Revology builds it as a system: willingness-to-pay research and price-value maps (Right to Price, Price-Quality-Worth), a causal elasticity engine (Double Machine Learning), behavioral price-point design, and a new-product pricing agent with confidence ranges. It is co-designed with your commercial, finance, data, and IT teams so it fits how you operate, built in your own environment (your data warehouse, BI tools, and security perimeter), and owned by you: code, models, and IP, with no license fee. The partners leading the work ran pricing and RGM functions before advising on them, and several hold PhDs in AI. For mid-market companies ($100M–$2B) the system is typically stood up in 90–120 days; the profit comes from your team running it through the year.
Value-based pricing breaks when willingness-to-pay, elasticity, and new-product pricing sit in separate models and unconnected workflows. Revology co-designs the pricing strategy, the monetization architecture, and the AI decision systems that operationalize them with your team, builds them in your environment, and hands them over as yours. Typically stood up in 90–120 days.
The capability covers value-based pricing strategy, behavioral price design, new-product pricing, pricing due diligence, price elasticity modeling, price pack architecture, and willingness-to-pay research. Deal desk guardrails, discount governance, and the price waterfall sit in Channel & Margin Optimization and run on the same elasticity engine.
Are you charging for the value you actually deliver, or leaving money on the table? We help you pinpoint where your organization creates more value than the competition, using real customer evidence and transaction data. Then we build price-value maps that highlight where to reprice, repackage, or sharpen your value story. The willingness-to-pay engine is built in your environment and fully owned by your team.
You don’t need to change your product to lift your margins. Instead, focus on price points, anchors, bundles, and price ladders that are proven to work. We calibrate these strategies using your actual transaction data and controlled tests, so every price ending and every good-better-best ladder is backed by evidence, not guesswork or folklore.
The pricing decision with the least history and the most permanent consequences. We combine willingness-to-pay research, competitive context, and elasticity priors borrowed from comparable SKUs into a launch price range with confidence bands, defensible before finance and retrained as the first demand signal arrives.
You need more than a pricing story. You need numbers you can defend in front of the investment committee. We dig into your target’s transaction data to quantify recoverable gross profit, channel pricing upside, promo waste, and discount leakage. Then we hand your deal team a 100-day post-close playbook with actionable steps. In our experience, this approach typically uncovers 200–400 bps of recoverable gross profit and 4–6% gross margin recovery when B2B channel pricing is in scope.
How much volume you lose, or keep, at every price point, by product, segment, and channel. We use Double Machine Learning and causal forests to isolate the effect of price from promotions, seasonality, and competitor moves, with confidence bands and an audit trail your CFO can check. Built in your stack and retrained on a governed schedule with your analysts’ sign-off.
Want to move your customers to the most profitable mix? Start by engineering the right pack sizes, tiers, and price ladders. We map your pack-price curve, identify gaps and cannibalization in your current ladder, and design a good-better-best structure that works. Before anything ships, we model volume and margin using our elasticity engine, so you know the upside before you invest.
Know what each segment will pay before you set the price. Conjoint, Van Westendorp, and Gabor-Granger studies combined with transaction-history modeling, designed so the results feed your pricing models rather than sit in a research deck, and refreshed as the market moves.
We’d love to hear from you. Get in touch, and we’ll introduce you to a team member who can help.
You have paid for good-better-best pricing more often than you think: the entry laptop, the model most people pick, and the one with every upgrade.
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This session is about getting yours started. In 60 minutes, we’ll show you how to frame the business case, estimate what a pricing or AI initiative actually costs, win executive sign-off, and set it up to succeed, including the change management and the KPIs most teams skip. It’s built for companies that already have pricing or AI teams as well as companies that don’t.
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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