Telecom provider with over 200 million customers aligned online and offline interactions for personalized engagement

Customer Company Size
Large Corporate
Region
- Asia
Country
- India
Product
- Adobe Audience Manager
- Adobe Target
Tech Stack
- Data Integration
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
- Brand Awareness
Technology Category
- Analytics & Modeling - Big Data Analytics
Applicable Industries
- Telecommunications
Applicable Functions
- Sales & Marketing
- Business Operation
Services
- Data Science Services
About The Customer
The customer is India's largest telecommunications company, boasting over 200 million mobile customers and an online revenue of USD one billion. The company operates in a highly competitive market and has a diverse range of services, including prepaid mobility services, post-paid mobility services, DTH/Sat TV services, and broadband/DSL services. The company was looking to leverage its vast customer base more effectively by integrating online and offline customer data to provide personalized offers and improve customer engagement.
The Challenge
India’s largest telecommunications company, with over 200 million mobile customers and an online revenue of USD one billion, was struggling to leverage its vast customer base effectively. The company was using disparate offline data sources to track bill payments, recharge history, and minutes usage, but it was unable to identify customers uniquely. The company's key objectives were to identify online users as soon as they landed on the site, assign a unique ID to them, map the unique online customer ID to offline data using Adobe Audience Manager, create and render personalized offers to customers based on various variables, and create opportunities for pushing mobile APP to smartphone users.
The Solution
Blueocean Market Intelligence conducted a series of workshops to understand the business drivers, activities, and define the actual list of hypotheses which need to be solved for. The company prepared a detailed attribute and variable list for different lines of business. Using segments and attribute modeling in Adobe Audience Manager, the Blueocean Market Intelligence team created an automated process to conceptualize, create, and implement personalized web and mobile offers for customers. The team worked with business stakeholders to assign ROI and incremental revenue values at each customer level for personalized banners/offers pushed online using Adobe Target.
Operational Impact
Quantitative Benefit
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