Reduce churn Boost revenue with Predictive Analysis
Leverage Data to Retain Customers and Drive Sustainable Growth
This use case illustrates how businesses can develop and deploy a churn predictive model to proactively identify customers at risk of leaving. By analyzing various data sources such as website interactions, transaction history, customer service interactions, and demographic information, businesses can predict which customers are likely to churn. Leveraging advanced machine learning algorithms, the churn predictive model provides insights into customer behaviour patterns that precede churn events.
Key Benefits
For an online health retailer, we built a churn model which allowed for highly targeted win-back campaigns resulting in churn reduction by 8% rom an average of from an average of 27% to 19% increasing sales by $675K annually.
Business Challenge
A large telecommunications company in Asia aimed to predict sociodemographic information from usage data.
The goal was to understand customer profiles so the advertising sales team could sell targeted audiences to advertisers at a premium.
They tasked us with building a predictive model to score customers based on their sociodemographic profiles.
Our Approach
Collaborated with the telco’s research team, leveraging socio-demographic information available for 30,000 out of 150 million customers.
Explored usage data to identify relevant variables suitable for model development.
Utilized data from 30,000 customers with sociodemographic information and an additional 100,000 customers for the final analysis.
The Solution
Developed a look-alike model using telecommunications usage data to predict sociodemographic information.
Incorporated data such as call, text, and internet usage patterns, volume and timing of usage, number of unique contacts (parties), recharge and bundle purchases, and monthly cost/revenue.
Constructed multiple models combined to predict attributes like age, gender, marital status, and education levels.
Business Outcomes
Deployed the look-alike model across their entire 150 million customer database.
Achieved a 100% increase in Cost Per Thousand (CPM) for specific customer segments by providing advertisers with modelled sociodemographic information.
Resulted in a 35% revenue increase for the advertising sales team through enhanced audience targeting capabilities based on predictive sociodemographic insights.
Features and Capabilities
Predictive Churn Model
Anticipate and Prevent Customer Churn Infohensive’s Predictive Churn Model utilizes advanced analytics and machine learning algorithms to predict which customers are likely to churn. By analyzing historical data, customer interactions, and behavior patterns, our solution identifies early warning signs of potential churn. This proactive approach allows businesses to implement targeted retention strategies and prevent customer attrition before it occurs.
Churn Probability Scoring
Quantity Churn Risk Our solution assigns churn probability scores to individual customers, providing a clear indication of their likelihood to churn. These scores enable businesses to prioritize retention efforts and allocate resources effectively. By focusing on high-risk customers, organizations can tailor personalized interventions, such as special offers or proactive customer support, to mitigate churn and enhance loyalty.
Targeted win-back Campaigns
Re-engage Lost Customers Effectively Infohensive empowers businesses to launch targeted win-back campaigns aimed at customers identified as at-risk of churn. By segmenting customers based on churn probability scores and behavior insights, our solution enables personalized marketing initiatives designed to re-engage and retain customers. This targeted approach not only improves campaign effectiveness but also boosts customer retention rates and lifetime value.
Revenue Impact Analysis
Drive Revenue Growth Through effective churn prediction and targeted retention strategies, Infohensive’s Predictive Churn Model significantly impacts revenue growth. By reducing churn rates and increasing customer retention, businesses can stabilize recurring revenue streams and capitalize on opportunities for upselling and cross-selling. Our solution quantifies the financial impact of churn reduction, demonstrating tangible ROI and supporting sustainable business growth.
Scalability and Security
Grow Confidently and Securely Infohensive’s solution is built to scale with your business, accommodating growing data volumes and evolving customer needs. Whether you operate in a niche market or serve a global audience, our platform adapts to maintain performance and reliability. Security is paramount; our solution implements robust data protection measures, including encryption and access controls, to safeguard sensitive customer information. Trust Infohensive to support your growth while ensuring data privacy and compliance.
Reasons to Choose Our:Churn Predictive Model Solution
Potential clients utilize our Churn Predictive Model solution to enhance their business performance because it:
- Improves Audience Targeting: Predicts socio-demographic information from usage data, enabling precise audience segmentation for targeted advertising.
- Increases Advertising Revenue: Empowers sales teams to sell audiences with enhanced socio-demographic insights at premium rates, boosting revenue.
- Optimizes Resource Allocation: Utilizes predictive models to allocate resources effectively, focusing on high-value customer segments.
- Enhances Customer Understanding: Provides deep insights into customer profiles, allowing businesses to tailor marketing strategies and improve customer engagement.
