54% of your POCs will never close.
This report shows you which ones — and why.
This is the first benchmark built for cybersecurity sales motions — not generic SaaS. You’ll see your POC conversion rate, win rate, deal cycle and pricing model compared against 1,200+ security companies. Your score is also your AI readiness score — the number your board will ask about next. Score yourself across six dimensions in ten minutes. Find the one fix that will move the needle most — before you spend another quarter on AI tools that won’t close the POC gap.
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What you’ll know after 20 minutes
This report gives you six things. Each one answers a question no generic SaaS benchmark can touch — because cybersecurity sales motions are structurally different. Including the AI question your board is about to ask.
Which of your POCs are dead on arrival
54% of active cybersecurity POCs entered pipeline as free audits — not real evaluations. They have no budget, no timeline and no intent to buy. AI lead scoring on top of this just flags the same bad deals faster. The report shows the qualification gate that separates real deals from pipeline pollution.
Where your highest-converting pipeline actually comes from
Breach-triggered deals close at 42% — three times the rate of outbound. But they make up just 8% of most pipelines. AI signal tools can’t find these if your CRM doesn’t track them. You’ll see the full conversion table by signal source so you can shift your mix.
Whether your pricing model is costing you 20 points of NRR
Platform pricing delivers 118% NRR. Per-seat delivers 98%. That’s 20 points of expansion revenue you may be leaving on the table — and the 2026 AI pricing wave is about to lock your model in. The report shows which model wins in each security category.
Your score — and your AI readiness
Not generic SaaS scoring. This self-assessment is built for POC-heavy motions, multi-stakeholder security committees and 7+ month deal cycles. Your total out of 30 is also your AI readiness score. Below 20, your AI tools don’t have the foundation they need. Finish it in ten minutes.
A real company that doubled win rate without hiring
A $14M ARR cloud security company had an 11% win rate. The CRO wanted four more SEs — and an AI lead scoring tool. The real problem? Signal architecture couldn’t tell real evaluations from free audits. Win rate went to 24%. Zero new hires. No AI.
What the $84B M&A wave means for your metrics
Platform companies get 10.4x multiples. Point players get 5.1x. AI-native cyber platforms are the new premium tier. The report shows which operational metrics acquirers actually look at — and where mid-market security companies typically fall short.
Five things this report will change about how you think
Preview of what’s inside. Each finding points to a fix you can act on — not just a number to stare at.
More than half your POCs were never going to close
54% of active POCs in mid-market cyber are free audits or compliance checkbox exercises. No budget. No timeline. No intent. They inflate your coverage ratio and wreck your forecast. The report shows the qualification gate that cuts them out — before your SEs waste months on them, and before AI scoring on top just flags them faster.
Platform companies get double the exit multiple — and it’s now an AI-native question
Platform vendors hit 10.4x EV/Revenue. Point players hit 5.1x. The difference is expansion architecture. Platform NRR averages 118% because cross-sell into adjacent security domains happens by design — not by sales motion. And acquirers now read that platform story as the AI-native story: only platforms can deliver AI that works across the stack. The report shows what that architecture looks like.
Your best pipeline source converts at 3x — and you’re probably under-investing in it
Breach and incident response signals close at 42%. Outbound closes at 16%. But threat-driven demand is only 8% of most pipelines. AI intent tools won’t find these if the CRM was never set up to track them. Companies that learn to detect compliance mandates and audit failures before the RFP goes out capture that 42% rate more often. The report shows how.
If you’re benchmarking quota against SaaS averages, you’re setting your team up to fail
Median cybersecurity quota attainment is 58%. SaaS is 70%. That 12-point gap is structural — longer cycles, CISO committees, POC-heavy motions. It’s not a rep problem. Companies that set quotas against cyber benchmarks (not SaaS) and fix POC qualification are hitting 72%. The report shows the difference.
Your L2O score is also your AI readiness score
87% of companies missed forecast in 2025 despite record AI spend. 48% say their revenue data isn’t AI-ready. 67% don’t trust their own numbers. For cyber, it is worse — POC contamination and channel opacity make the data problem structural. The single number that tells you whether AI will work on top of your CRM is your Lead-to-Order score. Below 20 out of 30, AI amplifies the chaos. Above 22, it multiplies what’s already working. That’s the answer your board is looking for.
Normally £495. Free for a limited time. No sales call required. AI readiness scored at the same time.
This is why benchmarks matter
A real cybersecurity company. A real problem everyone misdiagnosed. The report would have shown them the answer in ten minutes — before they wasted money on more SEs or AI lead scoring.
Win rate stuck at 11%. The CRO wanted to hire four more SEs.
Win rate at 11%. Deal cycle averaging 8.5 months. The CRO proposed hiring four additional SEs and buying an AI lead scoring tool to support more POCs and reduce cycle time.
Hired more SEs. Ran more POCs. Bolted AI scoring on top of the CRM. Spent more engineering hours on deals that were never going to close. The AI would have scored the same bad POCs — just faster.
Signal architecture couldn’t tell the difference between prospects running a real evaluation and prospects using the POC as a free security audit. 54% of active POCs had no budget authority and no procurement timeline.
Added a POC qualification gate: budget confirmation and procurement timeline required before SE engagement. Active POCs dropped from 22 to 9. No new hires. No AI tool. Just better signal rules underneath the CRM they already had.
Result: Win rate rose from 11% to 24%. SE utilisation went from 40% to 78% on qualified deals. Zero new hires. Same team. Same market. And now — when they do add AI — it will multiply something that actually works.
Score yourself in 10 minutes
Built for cybersecurity — not generic SaaS. These are the six questions. If you can’t answer them clearly, that’s the gap. Most cybersecurity companies between $5M and $50M score 12–18 out of 30. Your total is also your AI readiness score — below 20, your AI tools don’t have the foundation they need.
D1 Signal Architecture
Can you tell threat-driven demand from planned evaluations in your pipeline? What share of inbound is breach-triggered? AI intent tools won’t find what your CRM was never told to track.
D2 Pipeline Structure
What share of your active POCs have confirmed budget, a named decision-maker and a defined evaluation timeline? AI scoring on top of unqualified POCs flags the same bad deals faster.
D3 Conversion Mechanics
Do you track win rate separately for POC deals versus demo deals? Is your quota set against cyber benchmarks or SaaS averages?
D4 Pricing Realisation
Are you pricing per endpoint, per user or as a platform bundle? Do you know which model drives the highest NRR — before the 2026 AI pricing wave locks your model in?
D5 Retention & Expansion
Does cross-sell into adjacent security modules happen by design — or does it need a new sales cycle every time?
D6 Process Discipline
What’s your forecast variance over the last four quarters? Can you separate threat-driven deal spikes from your baseline forecast? Can you answer the board’s AI question with a number?
What to do after you read the report
“The report shows where cybersecurity companies like yours score. The assessment shows what it’s costing yours — and whether your AI spend has a foundation to deliver.”— Michael Williamson · Lead-to-Order Architect · Platform-Independent · 25 years including Symantec (cybersecurity) and enterprise security sales into regulated industries
Six dimensions. Your own data. Every gap costed. AI readiness included. Delivered in five working days.
See the Structural Assessment →