
Kinetic Pricing
Kinetic Pricing helps B2B SaaS founders model price changes, run price research studies, and set prices with customer evidence instead of guesswork.

Overview
Kinetic Pricing is a self-serve pricing research platform built specifically for B2B SaaS founders and product teams. It targets a universal challenge that most subscription businesses face: pricing decisions are often based on instinct, competitor copying, or hesitation rather than solid data. The platform changes that by giving founders a way to model the revenue upside of a price change, run quantitative studies with their own users, and attach a decision to the evidence that supports it. Unlike traditional market research firms, Kinetic does not recruit participants. Instead, it leverages the founder's existing customer base, mailing list, or app users to generate responses that are highly relevant and directly applicable to the product.
The product is designed to be approachable for non-researchers. It includes four well-known pricing research methods: Van Westendorp price sensitivity analysis, Gabor Granger price point testing, MaxDiff feature value ranking, and choice-based conjoint. Each method answers a different type of pricing question, from finding an acceptable price range to testing feature trade-offs. The interface is clean, with interactive study cards on the homepage that explain what each method does, what the user sets up, what respondents see, and what kind of decision comes out of it. The company also provides a free teardown where founders can submit their pricing page for feedback, adding another layer of practical value.
The platform has two main consumption models: one-time study purchases and a subscription called Kinetic Pro. Single studies start at $149 and go up to $499 depending on the method. Kinetic Pro costs $99 per month and includes unlimited studies across all four methods, plus a workspace for tracking pricing decisions and outcome checks. There is a 30-day free trial, although it requires a credit card. The combination of self-serve studies, real-time data visualization, and decision tracking makes Kinetic a strong fit for startups and scale-ups that want a scientific approach to pricing without the cost or time commitment of hiring a consultant.
Key Features
Value Simulator
At the top of the homepage, Kinetic embeds an interactive value simulator that functions as a planning aid and a demonstration of what the platform does. A founder can enter the current monthly price, the current number of paying customers, a proposed new price, and an expected retention rate. The simulator instantly calculates the monthly recurring revenue after the change, the difference in MRR, and the break-even retention rate needed to make the price change worthwhile. For example, moving 200 customers from $49 to $79 per month with 90% retention shows a potential gain of $4,420 in MRR, which annualizes to more than $53,000. The break-even retention is 62%, meaning the company can afford to lose up to 38% of customers and still be financially ahead. This kind of clarity before running a study is extremely useful.
Van Westendorp Price Range Finder
The first of the four study methods is the Van Westendorp Price Range Finder, marketed at $149 for a one-time study. It uses four simple questions to determine the range of prices that customers consider credible and the optimal price point. Respondents are asked at what price the product would be too cheap, a bargain, expensive but still a consideration, and too expensive. The responses are plotted on cumulative curves, and the intersections of those curves identify the acceptable price range and the point at which price sensitivity is lowest. The platform describes the output as a price, a credible range, and a written recommendation that can be acted on immediately. The survey is designed to take under two minutes on a mobile device, which helps keep completion rates high.
Gabor Granger Price Point Tester
When a founder already has a list of candidate prices and needs to know which one maximizes revenue, the Gabor Granger method is the appropriate tool. It works by presenting respondents with a series of price points and asking whether they would purchase at that price. The responses build a curve of purchase intent across price levels, and the platform models the expected revenue at each price. This goes beyond simply asking for willingness to pay; it identifies the price that yields the highest revenue given the trade-off between margin and demand. The one-time cost for a Gabor Granger study is $199.
MaxDiff Feature Value Ranker
The MaxDiff method is ideal for understanding what parts of a product or service customers value most. It presents respondents with sets of features and asks them to choose which feature is most important and which is least important. By repeating this with different combinations, the platform produces a ranking of feature values. This data is especially useful for positioning, packaging, and deciding which improvements to build next. The one-time price is $279, reflecting the slightly more involved analysis. The output helps founders understand where to focus their resources and how to craft offers that resonate with different customer segments.
Conjoint Package and Price Builder
The most advanced method offered by Kinetic is choice-based conjoint. This approach shows respondents multiple product configurations, varying both features and price, and asks them to choose their preferred option. Analysis of these choices reveals the relative importance of each feature and the trade-offs customers are willing to make between price and functionality. This is powerful for designing pricing tiers, entry offers, or enterprise plans. The one-time price for a conjoint study is $499. Given the complexity and the richness of the output, that price is still lower than what a traditional market research firm might charge for a comparable conjoint exercise.
Decision Tracking Workspace
Kinetic Pro includes a workspace that goes beyond a simple survey tool. The workspace brings together studies, value scenarios, pricing decisions, and outcome checks in a single timeline. When a founder decides to change a price, they can record the decision, attach the study and evidence that supported it, and schedule a future date to check whether the change achieved the expected outcome. This creates a feedback loop that is rare in pricing tools. The homepage shows a specimen of this workspace with items like an active study, a pricing decision from $49 to $79, and a scheduled outcome check after 30 days. This feature makes pricing an ongoing practice and helps teams stay accountable for the decisions they make.
Real-Time Response Curves
Kinetic provides real-time visualization as survey responses come in. The charts build live, showing the cumulative curves for both memory and brand awareness, depending on the method. In a Van Westendorp study, the four curves appear and intersect as data accumulates. Once a threshold of 15 valid responses is reached, the platform considers the results stable enough to generate a recommendation. Founders can watch this process in a simulation on the homepage, which also lets them click on the chart to see how their own guess would affect the outcome. This transparency helps users trust the methodology and understand what is happening before they launch a real study. Users can also explore Kinetic Pro to see the full range of capabilities.
How It Works
The workflow on Kinetic is structured to be simple enough for a non-researcher to move from signup to decision within a single session. The first step is defining the pricing context. Founders select the study method that matches their question, then describe the product, the target customer segment, and the specific decision they need to make. This context shapes the wording of the survey questions, ensuring that the responses are grounded in the actual product rather than generic price sensitivity.
The second step is distribution. Once the study is configured, Kinetic generates a mobile-optimized survey link. The founder sends that link to their own users, whether that is through an email newsletter, an in-app notification, or a social media post. Because Kinetic does not maintain a pool of respondents, the quality of the data depends on the founder's ability to reach a relevant audience. The survey is designed to be short and frictionless, with questions that are easy to answer on a phone. The platform indicates that a typical Van Westendorp study takes less than two minutes to complete, and the threshold for valid responses is just 15, which is attainable for many businesses with even a modest customer base.
As responses collect, Kinetic displays the underlying curves in real time. The interface includes a simulation mode on the homepage that shows how the curves form, with an area for users to click and guess where the optimal price point might fall. Once enough responses are collected, the platform calculates the optimal price point and produces a clear verdict. For instance, the example output on the site shows an optimal price of $79 per month compared to a current price of $49 per month, with a note about the difference in revenue per retained customer.
After the study concludes, the results are stored and can be attached to a pricing decision in the Pro workspace. The decision tracking feature allows founders to document why they changed the price, what evidence they used, and when they will review the outcome. This could be a 30-day check or a longer interval. The platform sends a reminder when the review date arrives, prompting the team to compare actual retention and revenue against the projections. This turns a one-off research project into a continuous pricing improvement cycle.
Use Cases
Evaluating a Planned Price Increase
A common scenario for Kinetic is a founder considering whether to raise prices. For example, a project management SaaS has been charging $49 per month for 200 customers. The founder is thinking about raising the price to $79 but worries about losing customers. Using the value simulator, they see that retaining 90% of customers would add $4,420 in MRR, and the break-even retention is 62%. With this context, they run a Van Westendorp study among their active users. The study shows an optimal price of $75 with an acceptable range from $55 to $95. The founder sets the price at $79, attaches the evidence, and schedules a 30-day outcome check to measure actual retention and revenue.
Choosing Between Pricing Tiers
Another founder is launching a new premium tier and is torn between $99 and $149 per month. They use the Gabor Granger method to test both prices with users who match the premium segment. The results show purchase intent of 65% at $99 and 38% at $149. Modeling revenue shows that $99 would generate more monthly revenue, even though the margin per customer is lower. The founder chooses $99 with confidence, knowing that the data supports the revenue-maximizing choice rather than a guess.
Prioritizing Features for a New Package
A product team wants to create a packaged offering for small businesses. They are considering which features to include and how to position the value. The MaxDiff Feature Value Ranker is used to survey current users about the features they value most. The results show that users care deeply about integrations and reporting, but much less about mobile access and templates. The team decides to emphasize integrations and reporting in the package and in marketing copy, avoiding wasted effort on features that do not drive perceived value.
Designing a New Packaging Structure
A company transitioning from a single plan to multiple tiers uses the Conjoint Package and Price Builder. They test different combinations of features and price points with a sample of users. The conjoint analysis reveals a clear preference for a basic plan with limited features at $29, a popular plan at $49 with most features, and an enterprise plan at $99 with advanced features. This directly informs their packaging decisions and reduces the risk of launching a structure that does not appeal to their target buyer.
Regular Pricing Reviews
A mature SaaS with a large customer base adopts Kinetic Pro and makes pricing review a quarterly ritual. Every three months, the pricing lead runs a Gabor Granger study to see if willingness to pay has shifted. The decision tracking workspace keeps a history of past prices and studies. When competitors release new offerings or the company adds major features, the team can quickly launch a study to measure the impact. This ongoing practice helps the company avoid leaving money on the table or making a misstep based on outdated assumptions.
Pricing & Value
Kinetic's pricing is transparent and aligns with two distinct user needs. For founders who need a single answer, the one-time study pricing starts at $149 for the Van Westendorp Price Range Finder. The Gabor Granger study is $199, the MaxDiff Feature Value Ranker is $279, and the Conjoint Package and Price Builder is $499. These prices reflect the complexity and analytical depth of each method. A founder who only wants to sanity-check a price increase might reasonably choose the $149 option.
The subscription option, Kinetic Pro, is priced at $99 per month and includes unlimited studies across all four methods. It also includes the decision tracking workspace and presumably the full suite of study types. The 30-day free trial gives founders plenty of time to run their first study and see if the platform fits their workflow. One catch is that the trial requires a credit card, which might be a barrier for some users who prefer to test without financial commitment.
When compared to the cost of hiring a pricing consultant, which can easily run to several thousand dollars, Kinetic's pricing is affordable. The one-time study costs are accessible for most seed-stage startups, while the Pro subscription is in line with other SaaS tools. The pricing page clearly lays out all options, including the one-time studies and the subscription, so founders can choose the right path without having to contact sales.
Final Verdict
Kinetic Pricing brings a much-needed dose of evidence to one of the most consequential decisions a SaaS founder can make. The platform is straightforward, with no learning curve for basic use, yet it incorporates serious research methods that are typically reserved for larger companies with big marketing budgets. The ability to test with a company's own users is the core innovation, because the feedback comes from people who have real context and investment in the product.
The main limitations are the reliance on the founder's distribution channel and the credit card requirement for the free trial. If a startup lacks an engaged audience or has only a handful of customers, gathering 15 valid responses could be challenging. And while the one-time study prices are reasonable, they add up if a founder needs multiple methods to fully explore a pricing strategy.
For B2B SaaS founders who have a customer list and a pricing question that deserves an answer backed by data, Kinetic is a valuable instrument. The decision tracking feature encourages a disciplined approach that pays off over time. This is a genuinely useful tool for any team that wants to stop guessing and start pricing with confidence.
Pros & Cons
The Good
- Interactive value simulator on the homepage lets founders model revenue changes and see break-even retention before running any study.
- Four established research methods are available, covering price range, price point, feature value, and packaging trade-offs.
- Studies are distributed to the founder's own users, making responses more relevant than those from an external survey panel.
- Kinetic Pro includes unlimited studies across all methods for a flat monthly fee, which is cost-effective for ongoing pricing work.
- Decision tracking workspace keeps studies and outcome checks attached to each price change, reinforcing accountability.
The Bad
- A credit card is required to start the 30-day free trial, which may deter risk-averse users.
- One-time study prices range from $149 to $499, which might be steep for early-stage startups with very limited budgets.
- The tool depends on the founder's ability to distribute the survey and gather at least 15 responses, which is difficult for products with few active users.






