Enter whatever rates you measure and leave the rest blank. Blanks are never graded against you. Each stage gets a Good, OK, or Weak read against current benchmarks, and the overall grade weights the two stages that move revenue most: MQL to SQL and opportunity to close. Every weak number comes with the most likely reason behind it, so you leave knowing what to fix first, not just where you rank. The math runs in your browser and nothing is stored.
Benchmarks last updated July 6, 2026. Sources at the bottom of the page.
Grade your funnel
Your funnel stages
The core six. Enter each as a percentage. These drive your overall grade.
Trial or freemium (optional)
Pick your model, then enter your trial-to-paid rate.
By channel (optional)
Your MQL to SQL rate per channel. This is where most teams find the real leak.
AI search (optional)
How visitors referred by ChatGPT, Perplexity, Claude, or Gemini convert to leads, as a multiple of your organic visitor-to-lead rate. Enter 2 if AI traffic converts twice as well. Almost nobody measures this yet.
How to read your grade
A funnel grade is a map, not a verdict. Two funnels can both score a C for opposite reasons, and they need opposite fixes. A strong top with a weak close needs sales process work. A weak top with a strong close needs offer and message work. Pouring more traffic into either one changes nothing, which is the single most common (and most expensive) mistake founders make with benchmarks.
One number deserves special attention. The most-quoted MQL-to-SQL benchmark, around 39 percent, assumes a well-run team. The real-world cross-industry median is closer to 15 percent. Both are true, and the gap between them is the difference between panicking at a healthy funnel and relaxing at a leaky one. The grader uses the honest thresholds: 35 percent and up is genuinely good, 20 to 34 percent is normal, and below 20 percent usually means marketing and sales disagree on what qualified means. The full sourced tables live in our conversion benchmarks by channel write-up.
Fixing the leak costs money. How much?
Model what an in-house team would cost to run your funnel properly, role by role, versus what an AI-native engine covers for the price of two mid-level hires.
Where the benchmarks come from
Every threshold in the grader traces to published 2025-2026 studies: First Page Sage's funnel benchmarks (2025), The Digital Bloom's pipeline benchmarks (2025), the 1Capture free-trial study of 10,000+ companies (2025), and Seer Interactive's AI-referral case study (2025). They are ranges, not guarantees. Your numbers bend with ACV, motion, and stage, which is exactly why the full benchmark tables break them out by channel, vertical, and deal size.
