Pricing a SaaS product is one of those decisions that looks straightforward until you sit down to actually model it out. The math expands fast: tier structure, blended ARPU, churn assumptions, LTV, gross margin, projected ARR at different conversion rates. Most founders end up with a sprawling spreadsheet that's fragile to update and hard to share. The free tools below make that modeling work faster and less error-prone, whether you're figuring out your initial pricing or stress-testing a tier restructure.
These aren't comprehensive product analytics platforms. They're lightweight, browser-based tools for the specific calculations that come up most often when you're thinking through pricing and unit economics. I've included a few tools that specialize in subscription analytics for completeness, but the bulk of this list covers the calculation side of the work.

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Baremetrics
Baremetrics is a subscription analytics platform that pulls live data from Stripe, Braintree, or App Store Connect and surfaces MRR, ARR, churn rate, LTV, and ARPU in a real-time dashboard. It's not a modeling tool for early-stage pricing decisions - it's built for tracking what's already happening in your business. The free trial is generous, and their public benchmarks page (Baremetrics Open Benchmarks) is worth a look even if you never use the product itself. Seeing median MRR churn rates across real SaaS companies by revenue tier gives useful context when you're deciding what assumptions to build into your model.
If you're post-revenue and want visibility into cohort behavior, Baremetrics earns its monthly fee. For pre-revenue modeling and scenario testing, the calculation tools below are more useful.
SaaS Pricing Calculator (EvvyTools)
For the scenario-modeling side of pricing work, this free tool handles the calculations that most founders do manually in spreadsheets: tier structure, blended ARPU across plan mix, monthly MRR, annual ARR, LTV at different churn rates, gross margin by tier, and a 12-month forward projection.
The input flow is straightforward. You enter your plan names, monthly prices, and expected customer mix by percentage. The calculator handles the blended ARPU math from there and feeds it into the MRR and ARR projections. You can adjust churn rate and gross margin assumptions to see how sensitive your revenue projections are to those variables - which is the actual question most founders need to answer before committing to a pricing structure.
It's particularly useful when you're evaluating a tier change. If you're considering collapsing two plans into one or adding a high-touch enterprise tier, entering a few scenarios side by side makes the revenue impact concrete before you change anything live. No login, no data stored, runs entirely in the browser.
ROAS Calculator (EvvyTools)
Most SaaS growth models eventually include paid acquisition, and return on ad spend connects directly back to LTV and payback period. The ROAS Calculator at EvvyTools handles the core calculation: revenue generated divided by ad spend, surfaced as a multiplier and a margin figure.
Where it's useful for SaaS specifically is modeling the relationship between ROAS, LTV, and acceptable CAC. If your LTV at a given churn rate is $480, and your target payback period is 12 months, you need your blended CAC to stay under $40. Working backward from that through expected ROAS on a paid channel gives you a ceiling on what you can spend per click or per install. The calculator makes that iteration fast enough that you can test several scenarios in a few minutes rather than rebuilding a formula each time.
Break-Even Calculator (EvvyTools)
Before committing to a pricing tier or a new feature investment, knowing your contribution margin and break-even point matters. The Break-Even Calculator takes fixed costs, variable costs per unit, and selling price, then returns your break-even volume and the contribution margin per sale.
For SaaS, "unit" is usually a customer seat or a subscription, and variable cost includes support overhead, infrastructure cost per account, and any per-use API costs baked into the product. Founders often undercount variable costs when pricing early tiers - hosting and support costs scale with customer count even when pricing is flat. Running a quick break-even calculation with realistic variable cost estimates helps catch plans that look profitable on revenue projections but actually lose money on margin once variable costs are included.

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Startup Runway Calculator (EvvyTools)
Pricing decisions and runway are more connected than they look. A price increase that improves gross margin by 10 percentage points might add four months of runway at your current burn rate. A discount program that expands volume but compresses margin might shrink it. The Startup Runway Calculator takes monthly cash burn and current cash balance and returns runway in months, with adjustments for revenue offset against burn.
The practical use here is running the calculation before and after a pricing change scenario. If you're considering reducing prices to accelerate growth, entering the projected burn change gives you a concrete runway cost for that experiment. It's a fast sanity check before committing to a strategy that might look like growth on the top line but shortens your operating window.
For a more detailed breakdown of how burn rate scenarios interact with fundraising timing and what to do when runway shrinks faster than expected, the How to Calculate Your Startup Runway guide at EvvyTools covers that in depth.
ChartMogul
ChartMogul specializes in revenue recognition and MRR tracking for subscription businesses. Like Baremetrics, it's a data-connected platform rather than a standalone calculator, but it's worth including here because its free tier is genuinely useful and its methodology documentation is some of the clearest writing available on how MRR should actually be calculated.
Their MRR calculation guide is a good reference if you want to understand the difference between new MRR, expansion MRR, contraction MRR, and churned MRR - distinctions that matter when you're setting targets and communicating growth to investors. The free plan supports up to $10k MRR, which covers early-stage modeling needs. Beyond that, it's a paid product.
When to Use Which Tool
The tools in this list serve different stages of the same decision process. When you're still deciding on pricing structure - figuring out tier count, price points, and plan mix - the SaaS Pricing Calculator and Break-Even Calculator are the ones to start with. They let you model scenarios without live data.
Once you have paying customers and want to track how pricing is performing in practice, ChartMogul or Baremetrics give you the real-time subscription metrics to compare against your model. The ROAS Calculator comes into play when you're adding paid acquisition and need to validate that ad spend works within your unit economics. The Runway Calculator is a recurring sanity check at any stage - useful before pricing changes, before discount campaigns, and before any spending decision that affects burn rate.
Most of these are quick enough that running through all four calculation tools before a pricing decision takes under 30 minutes. The time cost of skipping that step is usually much higher.
The full set of EvvyTools calculators referenced above, along with tools for other business and financial calculations, is at evvytools.com. All of them run in the browser with no login required.
Further reading:
- OpenView Partners SaaS Benchmarks Report - annual data on pricing, growth rates, and go-to-market benchmarks across SaaS companies by ARR tier
- Andreessen Horowitz: SaaS Metrics That Matter - clear framework for understanding CAC, LTV, payback period, and how they interact
- SaaStr: The Key to SaaS Pricing Is Simplicity - practical argument for fewer tiers and cleaner price points
- Stripe Atlas: Software as a Service pricing guide - covers common pricing models (per-seat, usage-based, flat-rate) with tradeoffs for each
- ProfitWell: The Psychology of SaaS Pricing - how price presentation and anchoring affect conversion rates, with data from real pricing page tests
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