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Pylon Target Audience

User Segments

Age: 32

Gender: Male

Occupation: Solar Installation Business Owner

Education: Associate Degree

Age: 28

Gender: Female

Occupation: Self-Employed Solar Sales Consultant

Education: Bachelor's Degree

Age: 40

Gender: Male

Occupation: Operations Manager, Solar Company

Education: Bachelor's Degree

Liam, The Agile Installer

Liam, The Agile Installer

Age: 32
Gender: Male
Occupation: Solar Installation Business Owner
Education: Associate Degree
Industry: Solar Installation
Channels: LinkedInYouTubeFacebook

Goals

  • Streamline solar proposal generation to close more deals quickly
  • Reduce operational costs by increasing efficiency in design and sales processes
  • Expand the business's reach and client base in the residential solar market.

Pain Points

  • Time-consuming manual design processes and proposal creation
  • High upfront costs for advanced solar design software
  • Difficulty in managing leads and project pipelines efficiently without an integrated system.

Pylon Geographic Distribution

Pylon's primary market is Australia, with notable presence in the US and UK, indicating a focus on established solar markets and potential for global expansion.

Top Countries

Australia flag

Australia

65%
United States flag

United States

15%
United Kingdom flag

United Kingdom

5%
Germany flag

Germany

3%
India flag

India

2%

Age Distribution

Key Insights

Primary age group concentration shows strong presence in:

31-35

Most active age range

Target Audience Socio-economic Profile

Pylon's users are likely from medium to high-income households, often 3-4 person families, indicative of business owners and skilled professionals.

Employment Status

Income Distribution

Education Level

Pylon Behavior Analysis

Behavior Profile

Efficiency
Productivity
Streamline Workflow
Online Research
Professional Networking
Software Adoption
Digital Tools
Problem-solving
Scalability
User-friendly
Innovation
Continuous Learning
Decision Making
Cost Optimization
Customer Satisfaction
Data-driven

Device Breakdown

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