Telecoms face many unique challenges in building a personalized and seamless customer experience across all channels. Why?
too many systems with customer data
The same person in multiple systems looks differently
Obtaining full picture of customer experience is hardly possible
Exacaster Customer 360
collects customer data from all telco systems and makes it
actionable across all touchpoints
Customer data platform (CDP)
enables multiple telecom use cases
with AI-powered algorithms
Users migration from
prepaid to postpaid plans
Identification of early churners
Retention of prepaid plan users
Exacaster Customer 360 capabilities
Connect offline and
Build golden record of a
Create views for every
Get insights from 1000s
of telco specific KPIs
Activate customers in
Who benefits from the customer data platform in a telco organization?
Apart from the general objective of
improving customer experience,
generating additional revenue or
reducing churn, many teams within a
telecom can benefit from CDP.
Customer care teams
Improve customer experience by providing a comprehensive Customer 360-view for agents.
Improve customer lifetime value through personalized upsell, cross-sell and retention recommendations.
Track sales channels and agent effectiveness. Identify fraudulent cases.
Data science teams
Quickly develop and automate the calculation of new features or KPIs for predictive models using the self-service interface.
Seamlessly expose collected customer data into existing BSS systems. Improve access to the latest customer data for business teams.
Integrate a personalized customer experience into digital channels. Understand digital and offline customer behavior overlap.
Exacaster Customer 360 captures all customer data from different siloed systems and creates a unified view of every individual
White paper: Customer retention for prepaid base management
With margins becoming increasingly thin, telecoms must execute effective engagement programs to keep their customers stay. It is essential to identify and impact risky prepaid plan subscribers very early and target them with the tailored offers at a reasonable cost.
Case study: Retention of new postpaid subscribers migrated from prepaid plans
In order to meet business objectives, we have built an AI-powered analytics predictive model to select subscribers from the prepaid base who had the highest probability of staying with the company after shifting to a postpaid plan.
Would you like to know more?
Case Study: Cutting churn rate for early prepaid customers
The company was struggling with a high churn rate of 68% and only 32% of new prepaid subscribers classified as ‘high risk’ renewed their plans. As a result of AI powered campaign, churn rate has decreased significantly. Interested in details?