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Customer Segmentation Case Study

Boosting ARPU through Customer Segmentation & Personalized Campaign Strategy for a Telecom Provider

Introduction

A leading telecom provider offering broadband services, devices, airtime plans, and data bundles partnered with NettScience to address stagnating Average Revenue Per User (ARPU). Despite a large customer base, the company struggled to maximize revenue due to undifferentiated marketing, low cross-sell success, and inefficient resource allocation. Leveraging our expertise in Advanced Analytics and Customer Segmentation, the telecom provider implemented a data-driven strategy to personalize campaigns, optimize pricing, and boost ARPU by 18% within 12 months.

Key Challenges
  • Low ARPU Growth: Revenue per user plateaued despite a growing subscriber base.

  • Generic Campaigns: One-size-fits-all marketing led to poor upsell/cross-sell conversion.

  • High Churn: Price-sensitive customers left for competitors due to lack of tailored retention efforts.

  • Siloed Data: Disconnected customer insights hindered targeted marketing.

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Our Approach

Data Integration & Segmentation

  • Consolidated data from various sources including e-commerce platforms, CRM systems, and marketing tools

  • Cleaned and structured data for accurate analysis

Advanced Segmentation

  • RFM Analysis: Segmented customers by Recency, Frequency, and Monetary value.

  • Behavioural Clustering: Identified groups like high-data users, price-sensitive subscribers, and device upgraders.

  • Predictive Scoring: Modelled customer lifetime value (CLV) and churn risk using machine learning.

Tiered Pricing & Personalized Campaigns

  • Dynamic Pricing: Introduced tiered data plans (e.g., Basic, Premium, Unlimited) aligned with usage patterns

Targeted Cross-Sell/Upsell

  • High-Value Users: Offered premium add-ons (e.g., international roaming packs, 5G upgrades).

  • Mid-Tier Users: Bundled broadband + mobile plans with loyalty discounts.

  • At-Risk Users: Deployed retention offers (e.g., discounted data top-ups).

  • Channel Optimization: Automated personalized SMS/email campaigns via Marketing Automation, with A/B-tested creatives.

Consultative Sales Enablement

  • Trained sales teams to adopt a value-based approach [Ref: Simon-Kucher], using insights like:

  • “High-data users” received proactive offers for unlimited plans.

  • “Device upgraders” were targeted with trade-in promotions.

Results Achieved

  • ARPU Growth: 18% increase in revenue from upsells.

  • Cross-Sell Conversion: Increased by 14%

  • Churn Rate: Reduced by 33%

  • Customer Satisfaction: Increased by 17%

  • Efficiency Gains: Reduced CPA by 25% through hyper-targeted campaigns.

  • Strategic Insights: Identified untapped segments (e.g., SMEs) for future GTM strategies.

Get in Touch

Combination of advanced analytics capabilities and marketing expertise, and our cross-functional approach integrates insights from market research, customer behavior analysis, and performance metrics to create a marketing solution.

 

Contact us today and discover how to revolutionize your approach to data-driven decision-making.

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