GTM/Marketing
Full-Funnel Conversion Calculator
Map your conversion rates from raw visitor all the way to closed-won customer. Find exactly where prospects are falling out of the pipeline.
What this calculator does
The Full-Funnel Conversion Calculator identify leaks in your revenue generation engine, then compares your result against operator benchmarks (Visitor to Lead: 2-5%. Lead to MQL: 10-30%. MQL to SQL: 20-50%. SQL to Close: 20-30%.). Enter your numbers below and you'll get a result, a benchmark band, and a plain-English interpretation in under two minutes.
Funnel Stages
Funnel Analysis
Overall Conversion
0.1%
Visitor to Customer
Revenue Per Visitor
$5
Max profitable CPC
Weakest Stage
Visitor to Lead
Priority to fix
Stage-by-Stage Conversion
Interpretation
Your weakest stage is Visitor to Lead. Fixing this single bottleneck will compound through every downstream stage. Focus on improving your landing page value proposition, reducing form friction, or adding high-intent CTAs like calculators.
Formula
Overall Conversion = Customers / Total Top-of-Funnel VisitorsBenchmarks: Visitor to Lead: 2-5%. Lead to MQL: 10-30%. MQL to SQL: 20-50%. SQL to Close: 20-30%.
Sources: OpenView 2024 SaaS Benchmarks, ChartMogul Retention Reports, ProfitWell Pricing Studies, and Pressense operator data.
Frequently asked questions
How do I fix a leaky funnel?
Find the single stage with the largest drop-off relative to benchmarks and fix that one first. Optimization at the weakest stage compounds through every later stage. Optimizing already-strong stages produces diminishing returns.
Why track revenue per visitor?
RPV normalizes funnel efficiency into a single number. If your RPV is $5, you can profitably spend up to $4.99 per visitor on ads. Tracking RPV over time reveals whether funnel improvements are real or just driven by traffic mix changes.
What are MQL vs SQL definitions?
MQL (Marketing Qualified Lead) meets a fit + intent threshold but hasn't been validated by sales. SQL (Sales Qualified Lead) has been actively reviewed and accepted by an AE. The handoff between MQL and SQL is where the most pipeline silently dies.
About this calculator
Built and reviewed by the Pressense team, a strategy and systems partner working with B2B SaaS operators on unit economics, retention, GTM, and positioning. Every calculator in this library uses public benchmarks from OpenView, ChartMogul, ProfitWell, and KeyBanc, supplemented with anonymised data from the operators we partner with.