Segmentation methodology overview

Review our structured approach to audience segmentation, built around thorough data collection, analytical transparency, and consultative refinement for each client.

Meet our analytics team

Our team brings diverse skills in data science, business intelligence, and audience insights.

Caitlin Rivers

Caitlin Rivers

Lead Analyst

Team Lead
Years
City
Sydney

Focus areas

Segmentation
Consumer Trends
Reporting
Data Analysis

Caitlin oversees complex segmentation projects and ensures rigorous standards are met across all analytics work.

Core skills

Analysis Leadership Validation Reporting
Raj Patel

Raj Patel

Senior Consultant

Consultant
Years
City
Melbourne

Focus areas

Clustering Analysis
Methodology
Data Integrity
Reporting

Raj leads methodological planning, focusing on robust analytical procedures and ensuring compliance with data regulations.

Core skills

Strategic Consultation Facilitation Quality
Alice Smith

Alice Smith

Reporting Specialist

Specialist
Years
City
Brisbane

Focus areas

Data Visuals
Presentation
Persona Discovery
Insights

Alice develops tailored segmentation reports and transforms findings into actionable business recommendations.

Core skills

Visualization Storytelling Editing Delivery
Marcus Lee

Marcus Lee

Data Scientist

Scientist
Years
City
Perth

Focus areas

Predictive Analysis
Quality Review
Automation
Model Building

Marcus handles technical modelling, delves into large datasets, and maintains data quality for optimal segmentation accuracy.

Core skills

Automation Data Mining Assessment Testing

Our segmentation process

Every phase is designed for repeatability and transparency while adapting to evolving data landscapes.

Scoping and objectives definition

We start with a comprehensive consultation to identify your market priorities and unique segmentation needs, aligning analytics with real business objectives.

Clear target groups

Define and agree on audience types

Project outline

Document scope and deliverables

Data gathering and validation

Relevant first-party and third-party data is sourced, validated for accuracy, and checked for compliance with all applicable regulations, including privacy laws in Australia.

Secure data intake

All sources validated

Compliance review

Privacy safeguards applied

Analytical segmentation phase

Application of clustering algorithms, trend analysis, and persona development, leveraging both quantitative and qualitative insights to separate audiences effectively.

Segment profiles

Distinct clusters identified

Insights report

Practical applications shared

Consultative delivery and review

Key findings are presented with actionable recommendations. Stakeholders receive support to understand and apply segment insights, adjusting approaches as needed.

Stakeholder workshop

Align next steps

Integration support

Practical steps outlined

How we compare

Key segmentation features assessed

Feature
lorentiviaos
Others
Independent data analysis
Australian compliance focus
Practical persona guidance
Ongoing consultation
Custom methodology design