This guide combines selected first-party 2026 reports with a framework for applying them. The research samples were collected by SaaS Capital and the ChartMogul / ProductLed research team. They are not Scalematix client results. Worked examples are illustrative.
Last source check: 8 October 2026.
Selected 2026 benchmarks
| Measure | Published result | Relevant population and definition |
|---|---|---|
| Annual company growth | 22% median | SaaS Capital's private B2B SaaS survey; reported 2025 growth |
| Bootstrapped company growth | 20% median | Same survey; funding subgroup |
| Equity-backed company growth | 25% median | Same survey; funding subgroup |
| Marketing spend | 8% of ARR, median | SaaS Capital's Q1 2026 spending survey |
| Selling costs | 15% of ARR, median | Same spending survey; separate from marketing |
| Free-to-paid conversion | 8% median | January 2026 survey of 200 B2B software products |
| Free trials requiring a card | 30% free-to-paid conversion | Subgroup of that conversion survey |
SaaS Capital's growth report covers more than 1,000 private B2B SaaS companies. The spending report, published 10 June 2026, asks respondents about current departmental spending as a percentage of revenue. Marketing and selling medians should not be added and described as the observed median combined spend: the median of a sum need not equal the sum of medians.
The ChartMogul / ProductLed Conversion Report, published 4 February 2026, defines conversion as leads or free signups becoming paying customers within six months. It is a survey of 200 products, including SaaS, hybrid AI/SaaS and other software; subgroup samples are smaller.
Choose peers that resemble the business
Revenue scale, average customer revenue, product type, funding and sales model change the meaning of a benchmark. A private, sales-led business should not automatically use a consumer freemium company's conversion rate or a public company's spend ratio.
The source populations are different. Company growth is not marketing-sourced growth. A free-to-paid ratio is not visitor-to-paid conversion. Departmental spending is not a recommendation for your next budget.
For product conversion, use the same cohort window. A 14-day trial-to-paid measure and a six-month signup-to-paid measure answer different questions. A higher percentage can reflect a longer observation period, more selective acquisition or a different entry requirement.
Look at the whole product funnel
A trial that asks for a payment card may attract a smaller, more committed group. A higher trial-to-paid rate alone does not tell you which entry model acquires more customers per relevant visitor.
Hypothetical comparison: Product A receives 10,000 relevant visits, with 5% starting a trial and 20% of those paying. It produces 100 customers. Product B gets the same visits, with 2% starting a trial and 30% paying. It produces 60 customers.
A has lower trial-to-paid conversion but higher visitor-to-paid conversion: 1% versus 0.6%. This does not prove one model is universally better. The businesses also need to compare costs, customer value and retention. The example simply shows why an intermediate percentage cannot decide the whole funnel.
Calculate acquisition cost and payback consistently
Fully loaded CAC uses the defined sales-and-marketing acquisition cost divided by new customers. Advertising-only cost per acquisition is a narrower measure. Keep the cost basis visible and match it to the period or cohort as closely as the data supports.
CAC payback, simplified = CAC ÷ monthly gross profit per new customer.
If CAC is $1,500 and monthly revenue per customer is $250 at 80% gross margin, monthly gross profit is $200 and simplified payback is 7.5 months. This model ignores churn, expansion, cash collection timing and changes in service cost. It is not an industry benchmark or a precise cash-payback forecast.
Use the CAC calculator with consistent inputs. For AI-heavy products, ensure the margin estimate reflects relevant variable delivery costs rather than assume traditional software margins apply.
Keep retention beside acquisition
Measure gross revenue retention to understand losses from the existing revenue base, and net revenue retention to include expansion under your defined methodology. New-customer revenue should not be included in an existing-customer retention cohort.
For a simple annual cohort with no reactivation adjustment:
GRR = (starting recurring revenue − churn − contraction) ÷ starting recurring revenue.
NRR = (starting recurring revenue − churn − contraction + expansion) ÷ starting recurring revenue.
A business can gain new customers while losing substantial value from previous cohorts. That makes acquisition volume an incomplete view of growth. There is no single universal NRR or CAC-payback target established by the selected datasets on this page; choose comparable sources before assigning one.
Turn the benchmarks into a SaaS scorecard
Record relevant visitors, signups or demos, activation, paid conversion, new customers, acquisition costs and recurring revenue. Segment by acquisition source and entry model when those differences affect decisions. Add cohort age and the definitions behind each measure.
A go-to-market strategy can address audience and offer choices. Demand generation supports education, while email automation can help appropriate onboarding and evaluation journeys. Our SaaS industry approach connects those disciplines to recurring-revenue growth.
SaaS benchmark questions
Should our marketing budget be 8% of ARR?
Not automatically. That is a cohort median. Your growth goal, funding, margins, sales model and cash requirements determine the budget you can support.
Is 8% a good trial conversion rate?
The cited 8% uses a six-month free-to-paid definition across a mixed software cohort. Compare the entry model and window before applying it to your trial.
Can we compare a demo funnel with a free trial?
Only by preserving the different stages and denominators. Compare useful downstream outcomes, costs and customer value rather than just the first conversion percentage.
What should we investigate if signups rise but revenue does not?
Audience fit, activation, conversion timing, pricing and retention. First confirm that the cohorts and reporting windows are consistent.