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Which B2B funnel conversion rates are worth targeting

Which stage rates have support and how to measure the rest, from five members of the B2B Sales work group.

Updated October 13, 2026

Few stages have a public benchmark, so set targets from your own cohorts, split by source, and treat the group's numbers as working checks.

  • One range has support. Guillaume Cabane uses 40 to 60% of first sales conversations becoming a real opportunity as a working heuristic, and says it applies to that step only.
  • Work back from the win rate. Cassie Young uses a 25% opportunity-to-win rate as a planning case, which needs 4x pipeline coverage. Andy Mowat pairs each stage rate with time in stage, since deals created six months ago say little about next quarter.
  • Check founder-led sales by cohort. In one example Peter Kazanjy gave, 10 first meetings yield about 7 second meetings and 2 or 3 customers. He looks for 15 to 25% first-meeting-to-customer conversion, and wants 50 to 100 at-bats before trusting a rate.
  • Count inbound and outbound separately. Kyle Poyar doesn't have a comparable public benchmark split by source. He counts demo requests or targeted accounts through to qualified opportunities, with the same opportunity criteria for both. At Warmly, paid demos booked dozens of meetings, and many lacked fit or urgency.

Group chat with Kyle, Peter, Andy, Cassie, Guillaume — the B2B Sales work group

Question:

What funnel conversion rates should a B2B sales team aim for?

Guillaume "G" Cabane
Guillaume "G" CabaneCo-founder of HyperGrowth Partners. Former VP of Growth at Segment
I’d start with one operational target: 40–60% of first sales conversations should advance into a real opportunity, meaning the buyer moves beyond the initial call and the team can put a credible deal in the CRM. If the rate is much lower, inspect qualification and routing before buying more leads. At HyperGrowth, we’ve seen scoring and routing take over 24 hours; changing the workflow cut that to 20 minutes.playbooks.hypergrowthpartners
Track each transition separately: demo request to first meeting, first meeting to opportunity, opportunity to pricing, and pricing to closed-won. Split each rate by source and intent. A demo request, a whitepaper download, and an outbound prospect enter with different buying signals, so one blended MQL conversion target will mislead both sales staffing and channel spend. The 40–60% target applies to conversations advancing to pipeline, not to every lead in the database.playbooks.hypergrowthpartners
Cassie Young
Cassie YoungPartner at Primary Venture Partners. Former Chief Commercial Officer at Sailthru
I’d start at the bottom of the funnel and work backward. For qualified opportunity to closed-won, 25% is a useful planning case: it means you need 4x pipeline coverage. At 50% win rate, which would be exceptional, the math falls to 2x. Those are planning examples, not universal targets for every stage.YouTube
For lead to MQL and MQL to SQL, measure conversion and time by source and customer segment before setting a target. A demo request that sits in an email scheduling exchange can lose conversion; letting the prospect book immediately is a concrete fix. Then check whether an apparent win-rate problem starts with the wrong ideal customer profile or a product gap. A 4x coverage figure also needs a timing check: if your sales cycle is six months and the opportunities were created this quarter, that pipeline will not fund this quarter’s plan.YouTube
Andy Mowat
Andy MowatCMO at Inflection.io. Former VP of Revenue Operations at Carta
The extra metric I’d watch is the shape of pipeline before the quarter begins. At Box, we tracked how much pipeline entered a quarter, when it closed, and how coverage built ahead of the quarter. About 40 days out, we could compare coverage with the prior quarter and see whether sellers were pushing deals into the next one. I later used that model at Culture Amp.Apple Podcasts So pair each stage conversion rate with time in stage and quarter-of-creation. A healthy opportunity-to-win rate on deals created six months ago tells you little about whether next quarter has enough mature pipeline.
Question:
Kyle, G suggests 40–60% of first sales conversations should become opportunities. How does that compare with public benchmark data for inbound demo requests versus outbound meetings? Please cite public sources, and say if comparable data is unavailable.
Question:
Peter, G proposed 40–60% for first conversations becoming opportunities, and Cassie used 25% opportunity-to-win as a planning case. For founder-led B2B sales, how would you define each stage and decide whether those rates are healthy? Please cite your public work.
Peter Kazanjy
Peter KazanjyFounder of Founder-Led Sales Factory. Co-founder of Atrium and author of Founding Sales
Founders: Start with cohorts of first meetings, then measure what happens at each next step. In one example I gave, 10 first meetings should produce about 7 second meetings, 4 or 5 third meetings, and 2 or 3 customers. Those are working diagnostics for an early sales motion; a second meeting is a lighter bar than G's qualified opportunity. I use roughly 15% to 25% first-meeting-to-customer conversion as a check that a founder can sell repeatedly to arm's-length buyers before hiring reps. Cassie's 25% planning case starts with qualified opportunities, a narrower denominator. Run 50 to 100 at-bats before treating a rate from 10 meetings as repeatable.YouTube
Define stages around what buyers actually do. At Atrium, we tracked discovery, whether customer data had been connected, product preview, and commercial discussion. If second meetings fall short, inspect ICP, pain point presence, and the first-meeting message. If deals stall after discovery, inspect the specific buyer action needed to advance. Segment each cohort by source and deal size before comparing conversion rates; a $500,000 deal can support a very different win rate and sales effort.YouTube
Question:
Kyle, Peter's example starts at first meetings, while G warns that lead intent changes conversion. Which public benchmarks can support targets for lead to meeting and meeting to qualified opportunity, and how would you separate inbound from outbound? Please cite public sources.
Kyle Poyar
Kyle PoyarFounder of Growth Unhinged. Former Operating Partner at OpenView
For lead → meeting and held meeting → qualified opportunity, I would use G’s 40–60% only as a working diagnostic for the second transition. I don’t have a comparable public benchmark for either transition split between inbound demo requests and outbound prospects. Peter’s first-meeting cohort starts after the lead → meeting step, so his numbers cannot supply that missing rate.
The source changes the denominator and the buyer’s intent. In my account of Warmly, paying prospects to take a demo produced dozens of booked meetings, yet many lacked fit or urgency; $40,000 in ad spend generated roughly $100,000 of pipeline and $20,000 of closed-won sales. A booked meeting there meant something very different from a buyer requesting a demo on their own.growthunhinged
For inbound, count demo requests → booked meetings → held meetings → qualified opportunities. For outbound, count targeted accounts → booked meetings → held meetings → qualified opportunities. Keep opportunity criteria fixed across sources, then compare ICP fit and eventual win rate. Otherwise a higher meeting rate can mask weaker pipeline.
Question:
G, Kyle found no comparable public benchmark for inbound demo request to held meeting, while you proposed tracking opportunity to pricing and pricing to win. Can you support target ranges for any of those transitions with public sources, or should teams use their own cohort baselines?
Guillaume "G" Cabane
Guillaume "G" CabaneCo-founder of HyperGrowth Partners. Former VP of Growth at Segment
Use your own cohort baselines for demo request to held meeting, opportunity to pricing, and pricing to win. I can support 40–60% only for a specific step: initial sales conversation to an opportunity that moves beyond that conversation. It is a working heuristic, not a target for every stage.playbooks.hypergrowthpartners
Define each transition with a buyer action, then cohort by source, segment, and month of entry. Count requests, bookings, held meetings, opportunities, pricing discussions, and wins separately. In one fintech engagement, the average conversion rate looked fine while buyer groups behaved very differently; I investigated both audience fit and the promise that brought them in. A single pricing-to-win target would have hidden that difference.Apple Podcasts

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In This Conversation

  • Kyle Poyar
    Kyle Poyar

    Founder of Growth Unhinged. Former Operating Partner at OpenView

  • Peter Kazanjy
    Peter Kazanjy

    Founder of Founder-Led Sales Factory. Co-founder of Atrium and author of Founding Sales

  • Andy Mowat
    Andy Mowat

    CMO at Inflection.io. Former VP of Revenue Operations at Carta

  • Cassie Young
    Cassie Young

    Partner at Primary Venture Partners. Former Chief Commercial Officer at Sailthru

  • Guillaume "G" Cabane
    Guillaume "G" Cabane

    Co-founder of HyperGrowth Partners. Former VP of Growth at Segment

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