pricing, mix, and margin
Pricing, product mix, and promotional spend, managed deliberately. Project-based engagements that find the margin your current revenue is leaving behind.
The Basics
Revenue management is the practice of optimizing how a business generates revenue, not just how much of it arrives. It covers pricing, product and service mix, promotional and trade spend, and the relationship between top-line revenue and the margin you actually keep.
You may know the term from hotels and airlines, where revenue management software has been standard for decades. The discipline is broader than that, and it applies to any business with prices to set and margin to protect. Most companies already have a revenue management strategy, it just was never designed. Prices were set once and left alone, the product mix accumulated over time, and discounting became a habit rather than a decision. Our work is turning that into something deliberate, and it runs as a project: we scope the question, do the analysis, and hand you a strategy you can execute.
Revenue can grow while profit doesn't. These are the patterns that usually explain why.
What We Analyze
What you charge, why, and whether it still holds. We assess price positioning against the market, model how volume responds to a change, and find where price has fallen behind cost. Where the data supports it, that means elasticity modeling and regression analysis. Where it doesn't, it means building a defensible pricing floor by product or service line and making sure it's actually applied by everyone who quotes work.
Revenue isn't one number. It's many streams, each carrying its own margin, and the composition shifts without anyone deciding that it should. We build visibility into margin by SKU, service line, customer, and channel, then show what the business earns from each. Companies regularly find that their largest revenue source isn't their largest profit source, and that changes what you promote and what you quietly stop pushing.
Discounts, incentives, commissions, and trade spend are real costs of generating revenue, and they're usually buried in operating expenses where nobody evaluates them. We separate them out, tie each program to the revenue it was meant to support, and measure the return. Some promotions are earning their cost. Others have been running for years on the assumption that they must be.
Syndicated data from providers like Circana and Nielsen offers real advantages: competitive price benchmarks, category share, consumer panel insight. We use it, and we build regression models on top of it. But most businesses can't justify the subscription, and most don't need to. What they need is clean internal data: consistent product naming, margin calculated at the level decisions actually get made, and discounts tracked against the revenue they were meant to support. For companies with syndicated access, strong internal data is what makes the external view usable. For companies without it, internal data is the whole picture, and it has to be right.
How It Works
Project work should be predictable. You know the scope, the cost, and the deliverable before anything starts.
We talk through where you think revenue is underperforming and what data you have to work with. If your internal data isn't ready to support this kind of analysis yet, we'll tell you that before you commit to an engagement rather than after.
No costWe structure what you have and build the real picture: margin by product, service line, customer, and channel. Most of the surprises surface here, and this part has to be right before any recommendation built on top of it is worth making.
Typically 4 to 12 weeksElasticity modeling and regression where the data supports it, margin and mix analysis where it doesn't. We pressure test every output against commercial and brand reality, because a number that works on paper still has to survive a retailer, a competitor, and a customer deciding whether to buy.
Scoped to the questionYou get a set of decisions rather than a report: what to charge, what to promote, what to stop, and how to hold the line once the pressure comes. If you want support through the rollout, that's a separate conversation and never an assumption.
Deliverable in handFrequently Asked Questions
Revenue management is the practice of optimizing how a business generates revenue rather than just how much of it arrives. It covers pricing, product and service mix, promotional and trade spend, and the relationship between top-line revenue and the margin a business actually keeps. Every business already has a revenue management strategy. The question is whether it was designed or simply accumulated.
Pricing strategy addresses what you charge. Revenue management is the larger system around it: what you're selling, how you're selling it, what you spend to generate that revenue, and whether the resulting margin holds up over time. A business can have a thoughtful pricing strategy and still be poorly served by its revenue management if the mix is wrong or discounting goes unmeasured.
Revenue management systems used in hotels and airlines automate pricing decisions within a defined model. Consulting work sits upstream of that: deciding what the model should optimize for, whether your cost and margin data is accurate enough to trust, and what the commercial consequences of a pricing move actually are. Software executes a strategy. This is the work of building one.
Yes. The discipline is associated with product pricing because of its history in CPG, retail, hospitality, and airlines, but it applies directly to service businesses. That means setting minimum margin thresholds by service type, deciding how to price bundled versus unbundled work, and managing the mix of high-margin and lower-margin engagements over time. None of that requires modeling software or syndicated data.
Yes, though the quality of your internal data matters more when syndicated data isn't available. Syndicated providers supply market context that internal systems can't replicate: competitive benchmarks, category share, consumer panel insight. Without it, your own transaction data is the entire dataset, which means consistent product naming, margin calculated by SKU or service line, and discounts tracked against the revenue they support all become prerequisites rather than nice-to-haves.
Revenue management runs as a project, scoped at a fixed fee agreed before work begins with a buffer built in for the normal course of an engagement. If the work runs beyond that buffer, additional hours are billed, and we raise it with you before that point rather than after.
