Turn pipeline, churn, and unit economics into a clear budget plan. Compare scenarios, validate CAC payback, and align teams on what to fund next.
Why it matters
Benefits
Model cash outflows (media, tools, headcount) against subscription inflows to see when you break even. This is critical for SaaS where revenue is recognized over time and burn can spike before ARR catches up.
Calculate LTV with churn/retention curves and gross margin, then compare it to fully loaded CAC (including SDR/AEs, commissions, and tooling). This prevents “cheap CAC” illusions that ignore sales costs or high churn.
Tie channel spend to funnel conversion rates, sales cycle length, and activation-to-paid timing. SaaS teams can stop over-crediting top-of-funnel and build budgets that reflect pipeline velocity and close rates.
Stress-test best/base/worst cases – for example, churn up 0.5%, ASP down 10%, or expansion rate improving after a product release. You’ll see the ROI impact on ARR, payback, and runway before committing.
Use cases
Challenge
Finance needs a defensible plan that connects spend to ARR, but assumptions are scattered across spreadsheets and teams disagree on conversion rates, churn, and ramp times.
Solution
Use the ROI Calculator & Budget Planner to centralize assumptions, model ARR and cash flow by month, and present clear outputs like CAC payback, LTV:CAC, and runway under multiple scenarios.
Challenge
You can fund either two new AEs or a product-led onboarding initiative, but you’re unsure which will deliver faster payback and healthier unit economics.
Solution
Model AE ramp, quota attainment, and sales cycle vs PLG activation uplift and conversion to paid. Compare payback period, incremental ARR, and cash burn to choose the highest ROI path.
Challenge
Paid search and social CAC are increasing, and pipeline is slowing. Cutting spend risks missing ARR targets, but continuing could extend payback beyond acceptable limits.
Solution
Simulate reallocation across channels using channel-specific CPL, MQL–SQL, win rate, and cycle time. Identify the mix that keeps CAC payback within target while protecting ARR and runway.
More industries
FAQ
It models subscription-specific unit economics and growth outputs, including MRR/ARR, churn and net revenue retention (NRR) assumptions, gross margin, CAC (blended or by channel), CAC payback period, LTV and LTV:CAC, sales cycle length, pipeline coverage, and cash runway. You can also include headcount ramp (SDR/AEs/CS) and commissions to reflect fully loaded acquisition cost.
SaaS ROI should account for the timing of cash flows. The planner estimates incremental MRR/ARR from a spend, applies retention/churn and gross margin, then compares the cumulative gross profit to the cumulative costs over time. This makes payback period and runway impact as important as total return.
Yes. You can model PLG steps (activation rate, time-to-value, free-to-paid conversion, expansion) alongside sales-led steps (lead-to-opportunity, win rate, sales cycle, AE ramp). This is useful for hybrid SaaS where self-serve drives volume and sales drives ACV expansion.
Start with ranges and run scenarios – for example, churn 2%–4% monthly, win rate 15%–25%, sales cycle 30–75 days, and quota attainment 50%–80% during ramp. The tool is most valuable when it shows sensitivity – which assumptions drive payback and runway the most – so you can prioritize measurement and experiments.
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