Use six connected SaaS metrics calculators to examine revenue, enterprise retention, and unit economics in a sales-led business with long buying cycles.
B2B product work can involve long sales cycles, distinct buyers and users, and large differences in account value. Roadmap discussions need to consider individual customer requests alongside the product strategy.
PM Toolkit provides free calculators for LTV, CAC, recurring revenue, and retention. Enter assumptions that reflect your customer segments and sales process.
Use six calculators to examine B2B SaaS metrics. Import results between tools as you review unit economics and roadmap priorities.
Model LTV separately for customer segments with different contracts, expansion patterns, and churn. The calculator estimates LTV from monthly revenue, gross margin, and customer churn; the result depends on those assumptions.
Open CalculatorFor sales-led B2B acquisition, include sales staff, marketing, pre-sales engineering, and trial or proof-of-concept costs when they support acquisition. Segment CAC and compare it with customer value to assess enterprise and mid-market economics.
Open CalculatorUse MRR and ARR to review recurring revenue, then separate new business, expansion, contraction, and churn. Those components identify changes to investigate before choosing a roadmap response. The calculator also includes Quick Ratio and Rule of 40 analysis.
Open CalculatorCustomer churn counts accounts lost, while revenue churn reflects the recurring revenue lost. NRR adds expansion from the starting group: above 100%, its revenue increased during the period despite any churn or contraction. Review both customer and revenue measures to understand the loss.
Open CalculatorReview NPS by user role, company size, and usage tier alongside renewal and engagement data. An individual rating or an aggregate score alone does not establish churn risk. The NPS Calculator also lets you model revenue impact from the assumptions you enter.
Open CalculatorB2B roadmap decisions can involve customers with very different contributions to revenue. For example, 10 enterprise customers might generate 80% of revenue while 200 SMB customers generate the remaining 20%. RICE scoring (Reach, Impact, Confidence, Effort) helps sales, customer success, and product teams compare requests using shared criteria.
Open CalculatorUse these calculators in sequence to build a complete picture of your B2B business health and make better roadmap decisions.
Use the MRR/ARR Calculator to separate new business, expansion, and contraction. Review expansion against your pricing model and customer needs before deciding whether the roadmap needs more upgrade or expansion features.
Review customer churn, revenue churn, and NRR separately. NRR below 100% means recurring revenue from the starting customer group fell during the period. Investigate the losses alongside new business, costs, and cash needs.
Use the LTV and CAC Calculators together to estimate LTV:CAC by customer segment. Compare retention, margins, and payback before deciding which segments to pursue or where to allocate sales resources.
Review NPS by contract tier alongside customer feedback, usage, and renewals. Investigate differences before deciding which product changes could help; the score alone does not establish churn risk.
Use RICE Scoring to evaluate competing priorities from sales, customer success, and product. Score each item on Reach (how many accounts), Impact, Confidence, and Effort. Share the scoring matrix with stakeholders to create alignment around a single prioritised list before the next planning cycle.
B2B product decisions need to account for daily users, IT procurement, legal compliance, and the buyer's expected ROI. These roles can have different priorities. Use RICE Scoring to compare feature requests and explain your prioritization to the people involved.
An NRR of 120% means recurring revenue from the starting customer group grew 20% during the measured period, including expansion, contraction, and churn. It does not compare that growth with revenue from new customers. Review the components to understand what changed.
Customer segments can differ in revenue, retention, acquisition cost, and support needs. Estimate LTV and CAC separately where those differences matter to a resource decision.
When sales cycles span several months, acquisition spending and customer wins may fall in different periods. Include the full acquisition process, including work on deals that do not close, and document any lag used to match spend with customers.
Estimate LTV by customer segment and compare it with CAC and payback to assess the economics of serving different customer groups.
B2B PMs can use LTV:CAC, MRR/ARR, NDR, customer churn, and NPS to review acquisition costs, revenue, retention, and survey feedback. RICE or weighted scoring can make the assumptions behind roadmap priorities explicit. Choose metrics that fit the decision.
For sales-led acquisition, include sales salaries and commissions, pre-sales engineering, marketing, and acquisition-related trials or security reviews. Match spending and customer wins over a period that accounts for the sales cycle. The CAC Calculator supports simple and channel-level breakdowns.
A 3:1 LTV:CAC ratio is a common SaaS guideline. Review it alongside gross margin, payback, retention assumptions, and available cash. Below 1:1, estimated lifetime value does not cover acquisition cost; first check the model and its inputs before deciding how to respond.
Review NPS by user role alongside renewal and engagement data. End users, administrators, and buyers may report different experiences. Investigate those differences without treating a score as proof of churn risk. The NPS calculator models revenue scenarios from your assumptions, not measured causal effects.