NEVADA | PROFESSIONAL EXPERIENCE

Program Professional Framework

Behavioural Analytics Masterclass

Program Overview

Knowing what users and customers actually do across apps, websites and service channels is often more revealing than what they report in surveys. This masterclass covers behavioural analytics from data to action: event tracking design, funnels, cohort retention, path analysis, behavioural segmentation, controlled experiments and A/B testing, insights from behavioural economics, and privacy-respecting data practice under Gulf personal data protection laws. Participants learn to turn behavioural signals into design and service improvements.

Learning Outcomes

✓Design an event tracking plan with consistent naming, properties and user identifiers.
✓Analyse conversion funnels and identify the steps with the largest drop-off.
✓Build cohort retention tables and interpret retention curves.
✓Segment users by behaviour and link segments to service or product actions.
✓Design and evaluate an A/B test with a clear hypothesis, sample size and success metric.
✓Apply consent, minimisation and anonymisation practices consistent with local personal data protection requirements.

Target Audience

Digital product managers and owners
Customer experience and digital channel analysts
Marketing analytics specialists
UX researchers and designers

Detailed Program Modules

01Foundations of Behavioural Analytics

Behavioural versus attitudinal data
Key behavioural metrics
Analytics platforms and data sources

02Tracking Design

Event taxonomies and properties
User identity across channels
Data quality validation

03Funnels, Paths and Retention

Funnel analysis and drop-off diagnosis
Path and journey analysis
Cohort retention analysis

04Behavioural Segmentation

Engagement and value segments
Churn risk indicators
Personalisation opportunities

05Experiments and Behavioural Insights

A/B test design and analysis
Nudges and choice architecture
Ethical use of behavioural insights

06Privacy and Operationalising Insights

Consent and data minimisation
Gulf personal data protection requirements
Embedding insights into product and service decisions

Training Methodology

Interactive expert-led sessions grounded in workplace examples

Case studies and practical exercises drawn from the region

Group workshops with peer review of decisions and deliverables

Formative feedback against clear performance criteria

Applied Project & Assessment

Applied Project

Participants analyse behavioural data for a digital service: tracking plan review, funnel and retention analysis, behavioural segments, an A/B test proposal with sample size and a privacy checklist, presented as an improvement roadmap.

Assessment

Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.

University Certificate & International Accreditation

Professional Certificate accredited by Twintech International University College of Technology in Behavioural Analytics Masterclass

International accreditation: American Association of Innovation (AAI)