Exacaster Customer Journey is
a marketing automation platform that
provides all necessary building blocks to enable
How does it work?
Exacaster marketing automation platform consists of 4 main modules:
- Easily automate marketing workflows
- Manage all communication channels with a single integrated platform
- Scale marketing initiatives and personalize messages for millions of recipients
- Segment your customer base without technical skills
- Understand segments better by analyzing their behaviour
- Instantly launch and automate predictions to improve targeting
- Leverage self-learning ML algorithms without in-house data science expertise
- Track and maintain model performance with automated accuracy evaluation dashboard
- Track campaign performance and impact
- Dig deeper with bespoke reports using integrated Tableau software – the leading data visualization tool on the market
Build personalized customer
experience with ease
- Real-time and batch campaigns
- Drag and drop marketing workflow automation
- A/B testing and custom logic building capabilities
- Integrations with communication channels: SMS, email, push notifications, etc.
Segment your customer
base for better targeting
- Simple segmentation process without any technical skills
- Analyze the behavior of each segment with self-service analysis tools
Make smarter decisions
- Customizable and automated advanced analytics models
- Automated model accuracy evaluation dashboards
Track and improve campaign
- Out-of-the box campaign tracking reports
- Comes with pre integrated Tableau software for ad-hoc analysis
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?