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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™.
New product pricing is the pricing decision with the least historical data and the most permanent consequences. Revology co-designs AI agents that combine willingness-to-pay research, competitive context, and elasticity priors from comparable SKUs in your portfolio to generate launch price ranges with confidence bands. For mid-market companies ($100M–$2B), the agent gives your team a launch recommendation that can be defended before finance and adjusted once the first demand signal arrives. Built inside your stack. Owned by your team. Retrained as launch data flows in.
New product pricing has limited history and expensive downside. Revology co-designs and builds AI launch pricing agents that combine WTP research, competitive context, and elasticity priors.
Setting the right price for a new product is critical to its adoption. Too high, and you may scare off early customers; too low, and you leave money on the table or position the product as low-value. A rigorous new product pricing process ensures your offering hits the market at a price that balances market share and profit – maximizing revenue uptake in those crucial launch phases.
By evaluating alternatives (subscription vs. one-time sale, freemium vs. paid, bundled vs. standalone), clients can choose a revenue model that best suits the product and customer expectations. This can unlock recurring revenue streams or ancillary revenues (e.g. monetizing add-on services) that significantly boost long-term profitability beyond a simple one-time sale. The result is a sustainable business model for growth around the new product.
A well-designed pricing strategy for a new offering can be a competitive differentiator. For instance, an innovative pricing model (like a performance-based price or a novel bundle) might attract customers away from incumbents. Additionally, understanding competitor pricing for similar offerings allows you to position your product intelligently – either as a premium option justified by better value, or as a high-value disruptor at an aggressive price – giving you a strategic edge at launch.
Companies invest heavily in R&D for new products; effective monetization ensures you recoup that investment faster. By capturing appropriate value early (including via strategies like early adopter pricing or limited-time bundles), you improve the new product’s payback period. Moreover, a clear monetization plan signals to internal stakeholders (and investors) how this innovation will drive revenue, aligning expectations and resources for a successful launch.
Our New Product Pricing methodology integrates market insight and analytics at each step to define a winning strategy:
We begin by deeply understanding the new product’s value proposition and market context. This includes analyzing the competitive landscape (prices of existing or substitute products, competitor positioning) and conducting customer research to gauge perceived value and price sensitivity. We often use techniques like qualitative interviews or concept tests where potential customers indicate what they would pay. If analogous products exist, we perform benchmarking to bracket the feasible price range. This stage ensures we have data on what the market could bear and what features or outcomes customers value most.
Next, we determine the optimal revenue model for the product. We explore scenarios: should it be sold as a standalone product, or bundled with another offering? Is a subscription model appropriate (common for software or services), or a one-time license or purchase? We also consider tiered models (e.g. offering a basic vs. premium version) and whether any usage-based or success-based pricing is viable. The decision factors in the product’s cost structure, the need for recurring revenue, and how customers prefer to buy in your industry. We document the rationale for the chosen model (for example, “Pro Edition” and “Standard Edition” with different feature sets) as part of the go-to-market plan.
With the model in place, we leverage data to set specific price points or fee levels. Using the value analysis and perhaps price elasticity simulations, we estimate revenue outcomes at different price points. For example, we might use an elasticity model to predict units sold at $100 vs. $120 price points. We also factor in psychological thresholds (e.g. does crossing $100 make it seem expensive?). The outcome is a recommended list price (or subscription fee) for each product tier. We often include introductory pricing guidance here – for instance, a launch promo price that will later be raised – if that strategy will drive faster adoption without long-term revenue sacrifice.
We perform scenario analysis to ensure the pricing strategy meets business objectives. This involves building a simple financial model projecting adoption, revenue, and margin under different scenarios (best case, likely case, worst case). We test “what-if” scenarios, such as “What if we price 5% higher but sell 10% fewer units – do we still meet our profit goal?” or “What if we bundle this new product with our flagship product at a 20% premium – how many bundlers vs. solo sales might we get?”. This rigorous vetting gives leadership confidence that the chosen pricing plan aligns with revenue growth and profitability targets for the new launch.
Finally, we align the pricing with all go-to-market elements. We work with marketing to ensure promotional materials and value communication justify the price (especially important if it’s a premium price). For the sales team, we prepare guidelines on how to sell the new product – including ROI calculators or value stories that back up the pricing. If channel partners are involved, we develop channel pricing or discount structures so partners have incentive to sell the product (without eroding its value). Post-launch, we stay involved to monitor performance against expectations, ready to help adjust the strategy – for example, if early feedback suggests the price is slightly high, we might implement a limited-time rebate rather than a list price cut, to test elasticity carefully.
How data brokers and identity graphs quietly set personalized prices: what the evidence proves, what it doesn’t, and how pricing leaders should govern the risk.
A Pricing & RGM Analytics Navigator Your Team Owns — Six Modules, One GL-Reconciled Foundation, and the Agent Layer That Follows Most CPG Pricing and
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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
Centered on proven best practices, Revology Analytics® provides Revenue Growth Analytics advisory services and thought leadership, driving profitable revenue growth for middle-market companies.
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