Free for a limited time · Normally £495 per edition

Stop guessing why
your pipeline isn’t converting.

Lead-to-Order Architecture · Before CRM — and Before AI · Platform-Independent

Get the exact benchmarks for your sector. See how your win rate, deal cycle, pricing model and retention compare to 10,000+ B2B companies. Find the one fix that will move the needle most. Your score is also your AI readiness score — the number the board will ask about next. Pick your sector. Download in 30 seconds. Free.

10,000+ Companies benchmarked
9 Primary data sources
55 Data points per report
6 Sector editions
The problem nobody talks about

Three symptoms. One root cause.

These show up in every B2B company between £5M and £100M. The board sees the symptom. The benchmark shows you the cause — and whether the AI you bought has the foundation it needs to actually deliver.

62%

of pipeline never had a chance of closing.

It looked real in the CRM. But weak signals let it in. Your team spent months working deals that were dead on arrival. AI scoring on top of this just flags the same bad pipeline faster. The report shows you the conversion rate by signal source — so you can see which pipeline is real.

87%

of companies missed their forecast in 2025.

The forecast keeps moving. The board keeps asking. More AI tools on top of the CRM haven’t fixed it — 48% of companies say their own revenue data isn’t AI-ready. The benchmark shows you where your forecast discipline sits against your sector, and what the top quartile does differently.

14–30pp

of NRR left on the table by the wrong pricing model.

Per-seat pricing delivers 102% NRR. The right model for your sector delivers 118–132%. That gap is pure revenue — from customers you already have. With AI pricing coming to every CRM in 2026, the model you’re on now gets locked in. The report shows which model works in your sector.

The transformation

What changes after you read your report.

In 20 minutes you’ll know exactly where your company sits — and which single fix matters most before the next board meeting or AI renewal.

Before the report

  • You sense something is wrong but can’t pinpoint it
  • Your board asks about pipeline and AI spend — you hedge on both
  • You compare yourself to generic SaaS benchmarks that don’t fit
  • You invest in more CRM features or AI tools without knowing the real bottleneck
  • You don’t know if your win rate is good or terrible for your sector
  • You don’t know if the AI on your CRM has a foundation to work on

After the report

  • You know your exact score across six dimensions
  • You can answer the board’s pipeline question — and the AI question — with a number
  • You benchmark against your sector — not generic SaaS
  • You know which single fix will move the needle most
  • You have the data to back up your next investment decision
  • You know whether AI will multiply your process or amplify the chaos
What this looks like in practice

Same symptom. Different root cause. Different fix.

Three real companies. All thought they had a sales problem. None of them did. And none of them needed more CRM features or AI tools to fix it.

Cybersecurity · $14M ARR

Win rate stuck at 11%

The CRO wanted to hire 4 more sales engineers. The real problem? 54% of their POCs were free audits — not real evaluations. No amount of SE headcount or AI scoring fixes that.

Result: Added a POC qualification gate. Win rate went from 11% to 24%. Zero new hires.
Fintech · $12M ARR

CAC payback at 38 months

The CFO wanted to cut the sales team from 6 to 4. The real problem? Nobody was tracking regulatory compliance deadlines — the highest-converting signal source in fintech. No AI tool would have caught it because nobody told it to look.

Result: Built regulatory event monitoring. CAC payback dropped from 38 to 22 months. Same team.
Manufacturing · £22M revenue

Quote hit rate stuck at 7%

The board approved £180K for a CRM and extra estimators. The real problem? 44% of quotes went to prospects who had already placed the order elsewhere and were using the quote for price validation only.

Result: Three qualifying questions on the RFQ form. Hit rate doubled from 7% to 14%. Zero spend.

These reports are free. For now.

Each report contains sector-specific benchmarks, a self-scoring framework and an operator verdict on every dimension. Your score tells you where you stand against your sector — and whether the AI sitting on your CRM has the foundation it needs to deliver. We built these as paid research (£495 per edition). We are giving them away free to build the benchmark standard. This will not last. Get yours now.

£495 Free Limited time
Choose your sector

Pick the report that matches your business.

Each edition benchmarks your sector across six dimensions. You will get the exact numbers you need to know where you stand — and a self-scoring tool to grade yourself in 10 minutes. The same score tells you whether your AI spend has a foundation to work on.

For CEOs, CROs & VP Sales
B2B SaaS

B2B SaaS & Cloud Platforms

Win rates, CAC payback, pricing models and AI-native retention — compared across ARR bands from $5M to $50M.

You’ll discover: AI-native SaaS below $250K/month loses customers 12 points faster than traditional SaaS. The valuation gap is now 9–12x for AI-native vs 5–7x for “legacy” SaaS. The report shows why — and what the survivors changed.
📊 10,000+ cos 📄 14 pages 🗓 Q2 2026
£495 Free — download now
Get the SaaS Report →
Cybersecurity

Cybersecurity Edition

POC conversion, threat-driven demand, platform vs point-product economics — built for security CEOs and CROs.

You’ll discover: 54% of active POCs in mid-market cyber are dead on arrival — they entered pipeline as free audits. AI lead scoring just flags the same bad deals faster. The report shows the qualification gate that doubles win rate.
📊 1,200+ cos 📄 14 pages 🗓 Q2 2026
£495 Free — download now
Get the Cybersecurity Report →
Fintech & Payments

Fintech, Payments & Identity

Regulatory buying triggers, integration-stalled pipeline and the pricing model that delivers 124% NRR.

You’ll discover: Compliance-mandated deals close at 48% — 3× the rate of outbound. Yet they make up just 14% of most pipelines — and AI tools can’t find them because nobody told the CRM to track the triggers. The report shows how.
📊 1,500+ cos 📄 14 pages 🗓 Q2 2026
£495 Free — download now
Get the Fintech Report →
Telecoms & IoT

Telecoms, Connectivity & IoT

Channel pipeline quality, 11-month deal cycles and the device-based pricing model that delivers 128% NRR.

You’ll discover: Direct enterprise leads close at 26%. Channel leads close at 9%. Yet most telecoms companies spend 68% of GTM budget on channel — and AI forecasting on top of that mix gives you faster wrong numbers. The report shows what to change.
📊 700+ cos 📄 14 pages 🗓 Q3 2026
£495 Free — download now
Get the Telecoms Report →
Vertical SaaS

Vertical SaaS & Industry Tech

Small-market dynamics, competitive displacement and the pricing premium most companies leave on the table.

You’ll discover: Vertical SaaS earns 28–45% pricing premiums over horizontal tools. But only 34% of companies have pricing set up to capture it — and the 2026 AI pricing wave is about to lock that model in. The report shows the model that works.
📊 1,500+ cos 📄 14 pages 🗓 Q4 2026
£495 Free — download now
Get the Vertical SaaS Report →
Manufacturing

B2B Manufacturing

Quote hit rates, RFQ qualification, aftermarket margins and the pricing model gap that costs most manufacturers 12 points of gross margin.

You’ll discover: 89% of quoting effort goes to deals that never close. An 11.2% hit rate is the median — but three qualifying questions on the RFQ intake doubled one manufacturer’s rate for free. AI quoting on top of this changes nothing if the qualification is broken.
📊 285 locations 📄 15 slides 🗓 Q2 2026
£495 Free — download now
Get the Manufacturing Report →
For Investors
What’s inside every report

Sector benchmarks. One self-score. One clear next step.

📊

Sector benchmarks across six dimensions

Win rate, deal cycle, CAC payback, Magic Number, pricing model NRR and retention — for your sector, not generic SaaS. Top quartile, median and bottom quartile. Built for buyers using Salesforce, HubSpot, or Dynamics.

🎯

A self-score that doubles as your AI readiness score

Score yourself 1 to 5 on each dimension. Total out of 30. Below 20 means you have a structural problem the CRM can’t fix — and AI on top will make it worse. Above 22 and AI starts to multiply what’s already working. The report tells you which side of that line you’re on.

🔍

A real case study showing root cause vs symptom

Every report includes a company that thought they had a sales problem — or an AI problem. They did not. The report shows the actual root cause, the fix and the result — in your sector.

After you read the report

Step 1 — Read your sector report. See where companies like yours score. Find the dimension that is dragging. Takes 20 minutes. Costs nothing.

Step 2 — Score yourself. Use the self-assessment on the last page. If you score below 20 out of 30, email your scores. You will get a free Dimension Dependency Brief within 48 hours — including whether your AI tools have the foundation they need to work.

Step 3 — If you want the full diagnosis: The Structural Assessment (£3,950) scores your company against these benchmarks using your own data. Every gap costed. AI readiness included. One verdict. Five working days.

“The report tells you where your sector stands. The assessment tells you what it’s costing you — and whether your AI spend has the foundation to deliver.”
— Michael Williamson · 25 years building revenue processes at O2, Vodafone, Symantec, Equifax and Helvar · Platform-Independent

Your sector report is
ready to download.

Pick your sector. Get the benchmarks. Score yourself. Find the one fix that matters most — before you spend more on CRM or AI.