Active User Behavior &
Segmentation Analysis
www.reallygreatsite.com
mely.horman@gmail.com
Objective
Identify actionable enterprise client segments to improve Retention, Personalization, Upsell, and Revenue Growth strategies
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
Mely Horman - Team 3 Bellatrix
Template Presentation
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Business Background
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
Business Context
OCA serves enterprise clients across WhatsApp, SMS, Email, and Voice Call.�
Business Problem
OCA needs a client segmentation framework to improve retention, expansion, personalization, and revenue growth initiatives.
Client behavior analysis is required to identify:
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Analysis Objectives & Root Cause Assessment
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
Key Question
Which clients should be protected, expanded, or activated to drive sustainable growth?
Client value is unevenly distributed across the portfolio, requiring a segmentation-driven strategy to improve retention, expansion, personalization, and revenue growth.
Analysis Objectives
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Executive Summary
Key Findings
Business Impacts
Priority Actions
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Dataset & Core Metrics
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
Dataset Scope:
Key Conclusion
These metrics collectively cover:
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Client Activity Analysis
Analytical Framework
Business Goal
Core Metrics
Client Segmentation
Strategic Actions
(Transactions • Revenue • Engagement • Channel Usage)
(Rule-Based + KMeans Clustering)
Titans • Guardians • Challengers • Explorers
✓ Protect Strategic Revenue (Titans)
✓ Expand Existing Accounts (Guardians & Challengers)
✓ Accelerate Client Activation (Explorers)
Why Segmentation?
Segmentation helps distinguish:
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Segmentation Approach
Explorers
Challengers
Guardians
Segment
Criteria
Titans
KMeans Clustering
Features:
Rule-Based Segmentation Logic
Machine Learning Validation
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Cluster Validation
Rule-based segmentation was validated using KMeans clustering to identify natural behavioral grouping patterns among enterprise clients.
Behavioral clusters remain highly aligned with rule-based segmentation outputs, indicating stable user activity patterns across enterprise clients.
1
2
3
KMeans clustering validation produced an average silhouette score of 0.408
indicating reasonably separated behavioral clusters.
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Client Segment Profiles
Titans
Guardians
Recommended Treatment
Recommended Treatment
Key Insights
Explorers
Recommended Treatment
Challengers
Recommended Treatment
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Final_segment | Avg_Transactions | Avg_Revenue | Avg_Daily_Transactions | % Engagement_Rate | % Success_Rate | Client_count |
Titans | 24.549,67 | 5.177.266,67 | 272,77 | 38,37% | 79,59% | 3 |
Guardians | 6.137,40 | 1.298.784,00 | 68,19 | 38,36% | 79,34% | 5 |
Challengers | 1.537,00 | 325.460,00 | 17,08 | 39,42% | 80,06% | 4 |
Explorers | 1.533,13 | 327.357,50 | 17,03 | 37,98% | 79,51% | 8 |
Revenue Concentration
Key Finding
Business Impact
Action Required
Protect Titan Revenue
Diversify Revenue Sources
Expected Outcome
Revenue contribution is highly concentrated among a small group of Titan clients, creating both growth opportunities and concentration risk.
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Final_segment | Avg_Revenue | Client_count |
Titans | 5.177.266,67 | 3 |
Guardians | 1.298.784,00 | 5 |
Challengers | 325.460,00 | 4 |
Explorers | 327.357,50 | 8 |
Churn Risk & Retention Exposure
Key Finding
Business Impact
Action Required
Increase Client Activity
Improve Adoption
Expected Outcome
Explorers represent the highest retention exposure due to their large client base, lower engagement, and limited usage depth.
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
Final _ Segment | Client Count | Avg Transactions | Avg Revenue | Avg Engagement | Field of Industries |
Titans | 3 | 24,550 | 5,177,267 | 38.37% | Travel, Finance, Real Estate |
Guardians | 5 | 6,137 | 1,298,784 | 38.36% | Retail, Education, Logistics, Telco |
Challengers | 4 | 1,537 | 325,460 | 39.42% | Hospitality, eCommerce |
Explorers | 8 | 1,533 | 327,358 | 37.98% | Travel, Hospitality, Real Estate, Finance, Retail, Education |
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
High-Value Clients Show Distinct Communication Windows
Key Finding
Business Impact
Action Required
Optimize Communication Timing
Expected Outcome
Client activity patterns are influenced more by industry operating schedules than by segment membership alone.
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Segment-Level Activity Pattern | | | | |
Segment | Dominant Active Hours | | Activity Window | Industries |
Titans | 0,2,23 | | Late Night (22-23) | Telecommunications, Finance, Travel |
Guardians | 0-22 | | Early Morning (00-02) | Hospitality, Finance, Real Estate, eCommerce |
Challengers | 1,2,17 | | Business Hours (09-17) | Hospitality ,Real Estate, Retail, Logistics |
Explorers | 1-23 | | Broad-Day Usage | Education |
The issue is not mono-channel adoption, but WhatsApp-led usage concentration
Key Finding
Business Impact
Action Required
Increase Channel Utilization
Expected Outcome
All clients use multiple channels, yet favorite-channel behavior remains concentrated in WhatsApp, creating opportunity to increasing depth of usage across non-WhatsApp channels.
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Growth Opportunity is Concentrated in Challenger Accounts
Key Finding
Business Impact
Action Required
Accelerate Challenger Growth
Expected Outcome
Challengers demonstrate the strongest expansion potential through superior engagement despite relatively low transaction volume.
Engagement Leader ≠ Volume Leader
Challengers have:
This indicates unused platform capacity.
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Final_segment | Avg_Transactions | Avg_Revenue | Avg_Daily_Transactions | % Engagement_Rate | % Success_Rate | Client_count |
Titans | 24.549,67 | 5.177.266,67 | 272,77 | 38,37% | 79,59% | 3 |
Guardians | 6.137,40 | 1.298.784,00 | 68,19 | 38,36% | 79,34% | 5 |
Challengers | 1.537,00 | 325.460,00 | 17,08 | 39,42% | 80,06% | 4 |
Explorers | 1.533,13 | 327.357,50 | 17,03 | 37,98% | 79,51% | 8 |
Building Value Through Client Progression
Key Finding
Business Impact
Action Required
Explorer → Challenger
Challenger → Guardian
Guardian → Titan
Expected Outcome
The fastest path to sustainable growth is increasing client value through segment progression.
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
Titans
(Strategic Revenue)
Guardians
(Growth)
Challengers
Explorers
(Scale)
(Activation)
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
03
W1
W2
W3
W4
02
W1
W2
W3
W4
01
W1
W2
W3
W4
Protect Revenue
Grow Existing Clients
Scale Client Value
Strategic Priorities & 90 Day Action Roadmap
Near-term value should come from protecting Titan revenue,
while Medium-term growth depends on Guardians, Challengers expansion and Explorers activation.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Priority | Success KPI |
Protect Titans | Revenue Retention |
Scale Guardians | Revenue Expansion |
Grow Challengers | Volume Growth |
Activate Explorers | Client Activation |
Appendix
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
1.Cluster Segment Summary
2. Active Hours
3. Watch the Presentation Recording ===> Video
This project is part of RevoU X Telkom Indonesia Virtual Internship Program
www.reallygreatsite.com
Thank You
mely.horman@gmail.com
Location
Jakarta, Indonesia
Disclaimer: The data presented in this project is a modified representation of the original dataset.
All figures and information have been adjusted for educational purposes only and do not represent the actual business performance or condition of Telkom Indonesia.
This project is part of RevoU X Telkom Indonesia Virtual Internship Program