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"I want to see customer age demographics at a glance" "I want to analyze trends by age group"
Using HubSpot's reporting features, visualize age distribution and apply insights to marketing strategy.
What Reports Can Visualize
| Report Type | Content | Use Case |
|---|---|---|
| Customer count by age | Contact count per age group | Understand customer composition |
| Revenue by age | Purchase amount per age group | Identify target segments |
| Conversion by age | Close rate per age group | Effective approach analysis |
| Age × Channel | Traffic source per age group | Channel strategy optimization |
Creating Basic Reports
Age Group Contact Count (Pie Chart)
Display customer age composition as pie chart.
Creation steps:
- Reports → Create report → Single object
- Data source: Contacts
- Chart type: Pie chart
- Breakdown: Age group property
- Measure: Contact count
Age Group Contact Count (Bar Chart)
Compare customer counts by age group as bar chart.
Creation steps:
- Reports → Create report → Single object
- Data source: Contacts
- Chart type: Vertical bar
- X-axis: Age group property
- Y-axis: Contact count
Cross-Analysis Reports
Age × Lifecycle Stage
Analyze lead/customer composition by age group.
Analysis points:
- Which age groups have more leads
- Which age groups have better customer conversion
Age × Source
Analyze traffic sources by age group.
Analysis points:
- 20s predominantly from social media
- 50+ predominantly from search
- Identify effective channels by age
Age × Deal Amount
Analyze purchase amounts by age group.
Analysis points:
- Identify age groups with high purchasing power
- Understand high-LTV age groups
Dashboard Placement
Creating Age Analysis Dashboard
Create a dashboard consolidating age-related reports.
Recommended report composition:
| Position | Report | Purpose |
|---|---|---|
| Top left | Age group count (pie) | Overall composition |
| Top right | Age group revenue (bar) | Purchasing power comparison |
| Bottom left | Age × Lifecycle | Funnel analysis |
| Bottom right | Age × Source | Channel analysis |
Time-Series Change Analysis
Monthly Age Group Trends
Analyze how age composition changes over time.
Analysis points:
- New customer age trends
- Marketing initiative effectiveness (specific age increasing?)
Notes and Limitations
Calculation Property Limitations
Age (calculation property) may not be directly usable as filters in custom report builder.
Workaround:
- Use age group property (dropdown)
- Create list and use as filter
Data Freshness
Calculation properties update periodically, so report data may have time lag.
Missing Data Handling
Contacts without birthday have "Unknown" or empty age/age group.
Workaround:
- Set filter to exclude "Unknown" in reports
- Consider initiatives to improve birthday input rate
Report Usage Examples
Marketing Strategy Application
| Analysis Result | Strategy Reflection |
|---|---|
| 30s most numerous | Strengthen 30s-focused content |
| 20s traffic is low | Boost social media advertising |
| 50s has high purchase amount | Upsell initiatives for 50s |
| 40s has low CV rate | Improve 40s nurturing |
Use in Regular Reviews
Use age distribution reports in monthly/quarterly marketing reviews.
Review items:
- Changes in customer age composition
- Reach to target demographics
- Age-based initiative effectiveness
Use in Executive Reporting
Show customer age composition in executive reports.
Reporting points:
- Customer base health (not skewed to specific age)
- Future customer acquisition outlook
- Revenue contribution by age
Advanced Analysis
DATEDIFF with Operations Hub
With Operations Hub Professional+, use Datasets for more flexible age analysis.
Example: 5-year age groups
CASE
WHEN DATEDIFF("YEAR", [Birthday], NOW()) < 25 THEN "Under 25"
WHEN DATEDIFF("YEAR", [Birthday], NOW()) < 30 THEN "25-29"
WHEN DATEDIFF("YEAR", [Birthday], NOW()) < 35 THEN "30-34"
...
END
Cohort Analysis
Track groups (cohorts) who became customers in the same period and same age group.
Analysis content:
- Retention rate by age
- LTV trends by age
- Engagement changes by age
Summary
- Basic reports: Visualize age composition with pie and bar charts
- Cross-analysis: Deep dive with age × lifecycle, age × source
- Dashboard: Centralize age-related reports
- Apply to strategy: Reflect analysis in marketing initiatives
Use age distribution data for data-driven marketing strategy.