How we segment your audience groups

Our segmentation process combines advanced data analytics with a consultative, goal-focused approach for every client. First, we partner with you to clarify your objectives, then collect relevant market and consumer data using secure, privacy-compliant systems. We analyse these data sets using statistical and behavioural models to identify distinct audience groups. Throughout, we share progress updates, invite feedback, and adjust methods as your needs evolve. The process concludes with detailed reporting, delivering practical segment profiles and actionable recommendations that support your ongoing marketing strategy.

team analysing segmentation results

Meet our analytics specialists

A team of experienced analysts, data scientists, and market researchers

Erin Campbell

Erin Campbell

Lead Data Analyst

Master of Data Science University of Sydney

Market segmentation

Vision Insights

Certifications:

Certified Analytics Professional AWS Certified Data Analytics

Methods used:

Cluster analysis Factor analysis Decision trees Regression models Data visualisation

Key skills:

Statistical modelling Data integrity Team mentorship Problem solving

Guides segmentation strategy with a strong analytics background and commitment to ethical data standards.

Daniel Li

Daniel Li

Senior Market Researcher

Bachelor of Commerce Monash University

Consumer behaviour

MarketPulse

Certifications:

Market Research Society Member Certified Marketing Analyst

Methods used:

Surveys Cluster sampling Factor analysis Statistical testing Qualitative analysis

Key skills:

Survey design Insight generation Data visualisation Trend analysis

Leverages research and analytical reviews to uncover audience patterns and improve segmentation models.

Lauren Nguyen

Lauren Nguyen

Analytics Consultant

Master of Business Analytics UNSW Sydney

Customer analytics

InsightPath

Certifications:

Tableau Desktop Specialist Google Analytics Certified

Methods used:

Segmentation mapping Regression analysis K-means clustering Predictive modelling Dashboard design

Key skills:

Client relations Project leadership Report writing Tool integration

Develops tailored solutions and guides client communications through every segmentation project.

Mitch Taylor

Mitch Taylor

Market Data Specialist

Bachelor of IT RMIT University

Data integration

Datatech

Certifications:

Certified Data Management Professional Azure Data Engineer Associate

Methods used:

ETL processes Data cleansing Integration mapping Automation scripting Statistical reporting

Key skills:

Data migration System integration Process automation Troubleshooting

Supports technical implementation and ensures smooth data integration for complex projects.

Segmentation workflow overview

Sophie Evans

Sophie Evans

Segmentation Project Manager

"Collaboration and transparency are at the core of every project. We ensure you understand each step in the segmentation journey and encourage you to participate in shaping the final outcome."

1

Week 1

Discovery session

We meet to clarify your marketing goals and review current data. This foundation shapes our segmentation approach.

2

Week 2-3

Data gathering and analysis

We securely collect, clean, and analyse information, applying models to uncover patterns among your audience.

3

Week 4

Segment identification

Distinct segments are defined and profiled. We collaborate with your team to validate these insights.

4

Week 5

Actionable recommendations

We deliver a clear report with segment profiles and next steps, supporting improved campaign targeting.

How we compare to others

See how meldoranisq’s segmentation analytics deliver added value

Our consultative approach offers actionable insights, ethical handling, and flexible integration for your platform.

meldoranisq segmentation

Consultative and data-driven audience segmentation

4.8/5
On request

Typical provider

Standardised tools with basic features

3.5/5
On request

Customisation level

Tailored segmentation solutions for clients

meldoranisq segmentation 95%
Typical provider 55%

Ethical data use

Compliant with Australian standards always

meldoranisq segmentation 97%
Typical provider 65%

Reporting clarity

Clear, actionable, and transparent reporting

meldoranisq segmentation 93%
Typical provider 70%

Integration support

Assists with various data platforms

meldoranisq segmentation 90%
Typical provider 60%