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Cashbook Target Audience

User Segments

Age: 48

Gender: Female

Occupation: VP of Finance

Education: Master's Degree, Finance

Age: 42

Gender: Male

Occupation: Global Controller

Education: Professional Degree, Certified Public Accountant (CPA)

Age: 39

Gender: Female

Occupation: Director of Shared Services

Education: Bachelor's Degree, Business Administration

Sarah Chen

Sarah Chen

Age: 48
Gender: Female
Occupation: VP of Finance
Education: Master's Degree, Finance
Industry: Manufacturing
Channels: LinkedInYouTubeX

Goals

  • To significantly reduce Days Sales Outstanding (DSO) across all business units by implementing advanced cash application automation
  • To improve the accuracy and speed of financial reporting to support executive-level strategic decisions
  • To identify and recover unearned deductions, maximizing profitability and minimizing revenue leakage.

Pain Points

  • Manual cash application processes are time-consuming, prone to errors, and delay cash visibility
  • Difficulty in reconciling bank statements across multiple global accounts due to disparate systems
  • High volume of unrecovered deductions leading to significant financial losses and operational inefficiencies.

Cashbook Geographic Distribution

Cashbook primarily targets large organizations globally, with a significant presence in North America and Europe, notably the US and Ireland.

Top Countries

United States flag

United States

40%
Ireland flag

Ireland

25%
United Kingdom flag

United Kingdom

10%
Canada flag

Canada

8%
Australia flag

Australia

5%

Age Distribution

Key Insights

Primary age group concentration shows strong presence in:

31-35

Most active age range

Target Audience Socio-economic Profile

Target users are likely to be professionals with higher incomes, often in 3-4 person households, indicating established careers.

Employment Status

Income Distribution

Education Level

Cashbook Behavior Analysis

Behavior Profile

LinkedIn
YouTube
Business Technology
Financial News
Leadership Development
Operational Efficiency
Enterprise Software
Data Analytics
Desktop Device Usage
Manual Process Frustration
Automation Seeking
Real-time Visibility Need
Integration Preference
Problem Solving Focus
Efficiency Improvement
Strategic Planning
Audit Trails Interest
Compliance Adherence
Research-Oriented
High Education Level

Device Breakdown

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