Industrial Tech
Industrial & B2B Technology
REVENUE
INTELLIGENCE
INDEX
The outbound benchmark built for industrial and B2B technology companies. See exactly where your pipeline stands — and what top performers do differently.
10+ years of data · 950 industrial technology companies · 46 countries
12Questions
90sDuration
100Max Score
Layer 1 — Targeting & ICP · Question 1 of 3
How clearly defined is your ideal customer profile?
Consider whether your ICP actively drives daily targeting decisions — not just a document that exists somewhere.
A
No clearly defined ICP
We do not have a defined ideal customer profile in place
B
Broad idea, not formalised
We have a general sense of who we target but it has never been formally documented
C
Defined but still quite broad
We have an ICP documented but it covers too wide a range to drive precise targeting
D
Segmented by industry, type, or buyer role
Multiple ICPs defined by segment with reasonable clarity and consistency
E
Highly specific with clear prioritisation
Precise ICPs with qualification criteria, scoring, and consistent use across the team
Layer 1 — Targeting & ICP · Question 2 of 3
How many industries or market segments are you actively targeting in outbound?
More segments typically means diluted effort and weaker message-market fit — especially in industrial technology environments.
A
More than 8 segments
Targeting is highly dispersed with no clear commercial prioritisation
B
6 to 8 segments
Broad targeting across multiple industries — effort and messaging spread thin
C
4 to 5 segments
Moderate focus — some clear priorities but spreading across too many verticals
D
2 to 3 segments
Focused on a small number of well-defined markets with clear targeting logic
E
1 highly focused segment
Laser-focused on a single market — all resources and messaging aligned to one ICP
Layer 1 — Targeting & ICP · Question 3 of 3
How closely is your targeting aligned to where your offer actually performs best?
Top-performing industrial tech companies continuously feed win data back into their ICP definition — turning targeting into a compounding advantage.
A
Not sure where our offer performs best
No clear visibility into which accounts or segments convert at the highest rate
B
We have assumptions but little supporting data
Targeting decisions are based on intuition rather than measured outcomes
C
We know generally, but it is not consistently applied
Some awareness of strong segments but targeting decisions are still inconsistent
D
Mostly aligned with past performance
Targeting broadly reflects where we have won before, with some application
E
Strongly informed by results and win patterns
ICP and segmentation are continuously updated based on actual performance data
Layer 2 — Data & Infrastructure · Question 1 of 2
What best describes the quality of your prospect data today?
Data quality is the single biggest operational driver of outbound conversion in industrial tech — poor data upstream creates compounding problems at every stage.
A
Mostly outdated, incomplete, or unreliable
Data quality is a consistent problem that limits outbound effectiveness
B
Mixed quality with many gaps
Significant portions of the database are incomplete, outdated, or inaccurate
C
Acceptable but requires frequent cleanup
Workable data that needs regular manual effort to maintain usability
D
Generally high quality with occasional issues
Data is reliable for most campaigns with periodic cleanup needed
E
Highly accurate, enriched, and regularly maintained
Structured enrichment processes keep data current and segmented by buying role
Layer 2 — Data & Infrastructure · Question 2 of 2
How scalable is your current infrastructure for outbound growth?
Infrastructure scalability is the clearest predictor of whether your outbound can grow without proportionally growing your team.
A
Would break quickly under increased volume
Infrastructure is not designed for scale — growth would cause immediate operational problems
B
Can handle limited growth only
Some capacity headroom exists but scaling significantly would require rebuilding
C
Workable but inefficient at scale
Current setup functions for current volume but becomes fragile as outbound grows
D
Supports growth reasonably well
Infrastructure handles scaling with some adjustments needed at higher volumes
E
Intentionally built for scale and operational efficiency
Systems, workflows, and integrations are designed to handle growth without structural changes
Layer 3 — Outreach System · Question 1 of 3
How structured is your outreach process today?
A structured outreach process produces consistent results. An unstructured one produces consistent unpredictability.
A
Mostly ad hoc
Outreach happens when there is time or urgency — no real system behind it
B
Basic outreach without a real system
Activity exists but there is no defined process, sequence logic, or operating cadence
C
Some repeatable steps
Certain parts of the process are consistent but the overall approach lacks structure
D
Structured sequences across channels
Multi-step sequences in place with defined touchpoints and follow-up logic
E
Clearly defined system with repeatable campaign logic
Outbound runs on a defined operating model that any team member can execute consistently
Layer 3 — Outreach System · Question 2 of 3
How dependent is pipeline generation on specific individuals rather than a repeatable system?
Person-dependent pipeline is fragile. System-driven pipeline is scalable. This single distinction separates most average industrial tech outbound operations from the top quartile.
A
Almost entirely dependent on individuals
Pipeline generation rises and falls based on the effort of one or two specific people
B
Mostly dependent on a few people
One or two individuals drive most of the pipeline — no system to replicate their output
C
Shared between people and some systemisation
A mix of individual effort and structured process — inconsistent across the team
D
Largely supported by process and structure
The system carries most of the weight — individual performance has limited impact on overall output
E
System drives consistency regardless of who executes
Infrastructure produces reliable output independent of individual performance variation
Layer 3 — Outreach System · Question 3 of 3
If you needed to double your outbound volume tomorrow — what would actually happen?
This question reveals whether your outbound is infrastructure-driven or headcount-driven. The answer determines your growth ceiling.
A
It would likely create major operational problems
Current setup would break — quality would collapse and the team would be overwhelmed
B
We would need to hire quickly
Scaling volume requires proportional headcount increases — the system does not absorb growth
C
We could do it but quality would fall significantly
Volume is possible but the infrastructure cannot maintain quality at higher output
D
We could scale with some adjustments
Scaling is possible with moderate changes — the system supports growth with some work
E
Our system is designed to scale without losing structure
Infrastructure handles volume increases without requiring additional headcount or rebuilding
Layer 4 — Messaging & Value Prop · Question 1 of 2
How clear is your value proposition in outbound communication?
Industrial enterprise buyers are flooded with outreach. A sharp, differentiated value proposition is what gets a response. A generic one gets deleted.
A
Unclear or inconsistent
Value proposition varies across team members and channels with no consistent message
B
Generic and broad
Message covers what we do but does not connect to specific buyer pain or context
C
Reasonably clear but not very differentiated
Message is understandable but sounds similar to what competitors are saying
D
Clear and relevant for most targets
Consistent messaging that lands well with the majority of the target audience
E
Sharp, differentiated, tightly matched to pain points
Messaging is precise, clearly differentiated, and immediately relevant to the specific buyer
Layer 4 — Messaging & Value Prop · Question 2 of 2
How often do you actively test and improve your messaging performance?
Messaging that is never tested is messaging that never improves. Top-quartile industrial tech companies treat outbound messaging as a system to optimise — not a document to file.
A
Almost never
Messaging is set and rarely revisited regardless of performance
B
Rarely
Occasional review when results are noticeably poor — no structured testing process
C
Occasionally
Ad hoc testing happens sometimes but without a consistent or structured approach
D
Regularly on important campaigns
Structured testing happens for major campaigns with clear performance review
E
Continuously with structured testing and learning loops
Ongoing A/B testing, performance analysis, and systematic messaging iteration
Layer 5 — Measurement & Optimisation · Question 1 of 2
How clearly can you measure outbound performance across the full funnel?
You cannot improve what you cannot measure. Full-funnel visibility is what separates companies that optimise their outbound from those that guess at it.
A
Can barely measure it
Very limited visibility — outcomes are tracked loosely if at all
B
Track a few basic numbers
Basic activity metrics tracked but without meaningful funnel context or attribution
C
Measure some stages but not the full funnel
Partial visibility — key stages are tracked but attribution and full-funnel view are missing
D
Track most core stages with useful visibility
Clear data at the main pipeline stages with occasional gaps in attribution
E
Clear end-to-end visibility across the full funnel
Full attribution from outbound activity to pipeline and closed revenue with conversion rates by stage
Layer 5 — Measurement & Optimisation · Question 2 of 2
How confident are you in your ability to improve pipeline predictably over the next 6 months?
This is the ultimate question. Confidence backed by a measurable, repeatable system is fundamentally different from confidence backed by hope.
A
Not confident
Pipeline improvement feels uncertain — no clear visibility into what would drive it
B
Slightly confident
Some optimism but significant uncertainty about the path and the system behind it
C
Moderately confident
Reasonable belief in improvement but no clear system or data to back it up
D
Confident with some caveats
Strong belief in improvement with some areas of uncertainty around execution or data
E
Highly confident — system is measurable and repeatable
Confidence is grounded in data, clear ownership, and a system designed for continuous improvement
Final Step
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/ 100
Revenue Intelligence Index — Pipeline Readiness Tier
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Industrial Tech Industry Benchmark
Benchmarked against 950 industrial technology companies across 46 countries — 10+ years of campaign data
Your Score—
Industry Average Industrial Tech38
Top Quartile Performers72
Score by Layer
Pipeline Impact Estimate
Estimated monthly qualified enterprise meetings based on your score tier
Current Estimated Output
—
meetings per month
Infrastructure-Driven Potential
9–14
meetings per month
Priority Gaps Identified
Your 30-Day Infrastructure Roadmap
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