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The Williamson L2O Benchmark
Telecoms, Connectivity & IoT · Q2 2026

14 pages of telecoms-specific benchmarks across six revenue process dimensions for companies in the $5M–$50M ARR band. The only publication to map pipeline structure, channel contamination, and pricing mechanics specifically for telecoms software, connectivity, and IoT companies — data that exists nowhere else.

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700+ Companies benchmarked
8 Primary sources
14 Pages
6 L2O dimensions
6.4x Avg M&A multiple covered

How to Get the Most from This Report

Three things to do in the next 48 hours to turn benchmarks into action.

1

Read the Key Findings first

Page 3 delivers six headline findings in under two minutes — from channel pipeline contamination rates to the device-based pricing premium. Start here before the dimension slides so every benchmark lands in structural context, not in isolation.

2

Complete the Self-Assessment

Page 12 contains the full scoring framework calibrated for telecoms channel dynamics — not SaaS averages that don’t apply. Score each dimension 1–5. Most telecoms companies in the $5M–$50M ARR band score 10–16. Be honest: it is designed to reveal structural gaps, not confirm assumptions.

3

Identify your first structural break

Page 10 traces the dependency chain using a real $8M ARR IoT connectivity platform case study. Win rate was 8%. The proposed fix was replacing channel partners with direct AEs. The actual root cause was upstream in signal architecture — 62% of channel pipeline had no identified budget holder or deployment timeline.

Free · 10 Minutes

Scored below 20 out of 30?

Email your six dimension scores to Michael with subject line ‘L2O Self-Assessment — Telecoms’. You will receive a complimentary Dimension Dependency Brief within 48 hours — identifying which dimension is most likely causing the others to underperform.

25–30Strong L2O process
18–24Functional with gaps
12–17Significant structural issues
6–11L2O process failure
___/30 Your L2O Score

Score each of 6 dimensions 1–5 on page 12

The Six L2O Dimensions

Each dimension benchmarked with telecoms-specific data. They form a causal chain — a failure in one compounds through every dimension downstream.

1
Signal Architecture
2
Pipeline Structure
3
Conversion Mechanics
4
Pricing Realisation
5
Retention & Expansion
6
Process Discipline

What the Data Shows

Five benchmark numbers every telecoms and IoT CEO should know before setting revenue targets.

14% channel pipeline conversion rate vs 26% direct enterprise outbound. Yet most telecoms companies allocate 68% of GTM budget to channel — without tracking which partners generate qualified pipeline vs those who dump unqualified leads
40% channel-sourced pipeline is stale vs 18% for direct-sourced. The majority of pipeline inflation in telecoms comes from partners who logged opportunities they have no ability or intention to close
128% NRR for device-based pricing vs 104% flat subscription. An IoT platform pricing per connected device can expand 100x as a customer rolls from pilot to full deployment — no SaaS seat model can match this
94% median gross dollar retention Highest of any technology subsector. Network integration, certification requirements, and multi-year lock-ins make churn near-impossible. But it masks whether deployment profiles will ever drive expansion
±42% average forecast variance The highest of any technology subsector — driven by channel opacity, multi-year contract negotiations, and deal lumpiness where a single $500K+ TCV represents 10–20% of quarterly revenue
“In telecoms, the 11-month cycle is structural. Comparing yourself to SaaS averages is not benchmarking — it is self-deception.”
— Michael Williamson, The Williamson Verdict

This is the only L2O benchmark built for telecoms software and connectivity companies. No existing publication benchmarks pipeline structure, conversion mechanics, or pricing realisation for mid-market companies selling into or alongside telecom operators. If your self-assessment reveals channel opacity or signal architecture gaps, a Structural Assessment maps the full dependency chain with telecoms-calibrated benchmarks.

Learn About the Structural Assessment →

Michael Williamson

Founder, TechGrowth Strategy & Insights

Direct operator experience at O2/Telefónica and Vodafone provides firsthand knowledge of how telecom commercial teams operate — pipeline management, channel dynamics, enterprise procurement, pricing architecture, and revenue operations. Additional experience at Helvar extends credibility into the industrial IoT segment. Every Williamson Verdict in this edition carries the authority of someone who has personally run telecom sales processes.