Why This Hack Is Needed
Most companies define:
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Ideal Customer Profile (ICP)
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Target personas
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Priority industries
But they rarely validate those assumptions against actual revenue performance.
This creates risk:
1. Marketing Targets the Wrong Audience
You may generate volume from a segment that rarely closes.
2. Sales Prioritizes Poor-Fit Accounts
Reps may chase industries with long cycles and low ACV.
3. Leadership Lacks Strategic Clarity
You don’t know which segments:
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Close fastest
-
Close largest
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Convert at the highest rate
This hack solves that by tying:
Closed Won revenue → directly to Persona and Industry segmentation.
It transforms segmentation from theory into revenue-backed strategy.
Works best in Marketing Hub Pro/Enterprise + Sales Hub Pro/Enterprise.
What This Build Will Deliver
You will create:
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Revenue by Persona
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Revenue by Industry
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Average Deal Size by Segment
-
Sales Cycle Length by Segment (optional upgrade)
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An Executive ICP Dashboard
Step 1: Confirm Required Properties
On Contacts:
Go to:
Settings → Properties → Contacts
Confirm:
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Persona(dropdown recommended) -
Lifecycle stage
On Companies:
Go to:
Settings → Properties → Companies
Confirm:
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Industry
On Deals:
Confirm:
-
Amount -
Deal stage -
Close date
If Persona does not exist:
Create:
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Object: Contact
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Type: Dropdown select
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Name: Persona
Step 2: Build Revenue by Persona Report
Navigate:
Reports → Create report → Custom report builder
Data Sources:
Select:
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Deals
-
Contacts
Ensure:
Deals is the primary object
Add Fields:
-
Persona (Contact property)
-
Deal amount
-
Deal stage
-
Close date
Configure Visualization:
Visualization:
-
Column chart
X-axis:
-
Persona
Y-axis:
-
Sum of Deal amount
Apply Filters:
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Deal stage = Closed Won
-
Close date = This year (or chosen period)
-
Persona is known
Save as:
This reveals which buyer roles actually drive revenue.
Step 3: Build Revenue by Industry Report
Create new custom report
Data Sources:
Deals + Companies
Ensure:
Deals is primary object
Fields:
-
Industry (Company property)
-
Deal amount
-
Deal stage
-
Close date
Visualization:
Column chart
X-axis:
-
Industry
Y-axis:
-
Sum of Deal amount
Filters:
-
Deal stage = Closed Won
-
Close date = This year
-
Industry is known
Save as:
This identifies high-value verticals.
Step 4: Add Average Deal Size by Segment
Revenue alone can mislead if one segment just has more deals.
Create new custom report:
Primary object:
Deals
Associated:
Contacts (for persona)
OR Companies (for industry)
Fields:
-
Persona (or Industry)
-
Deal amount
Visualization:
-
Column chart
Metric:
-
Average of Deal amount
Filters:
-
Deal stage = Closed Won
Save as:
Repeat for industry.
This reveals:
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High-volume, low-value segments
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Low-volume, high-ACV segments
Step 5: Build the Executive ICP Dashboard
Go to:
Reports → Dashboards → Create dashboard
Name:
Add:
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Revenue by Persona
-
Revenue by Industry
-
Average Deal Size by Persona
-
Average Deal Size by Industry
-
Sales Cycle by Segment (optional)
Optional additions:
-
Win rate by Persona
-
MQL → SQL conversion by Persona
-
Revenue by Source within Industry
How to Interpret This Dashboard
High Revenue + High ACV + Short Cycle
→ Core ICP
→ Prioritize marketing spend
→ Create targeted campaigns
High Volume + Low ACV
→ Possibly SMB segment
→ Good for scale strategy
Long Cycle + Low Revenue
→ Consider deprioritizing
→ Refine qualification
Strategic Outcome
You now have:
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Revenue-backed ICP validation
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Vertical prioritization clarity
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Persona effectiveness insight
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Sales resource allocation guidance
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Marketing segmentation optimization
This turns segmentation from a marketing assumption into revenue intelligence.
