Customer Churn Prediction Model
By:
Quantiphi
Quantiphi offers a powerful machine-learning model designed to accurately predict customer churn and provide actionable insights to reduce attrition rates. The model analyzes customer behavior and assigns churn probability scores to both new and existing users, including those with multiple accounts. By leveraging feature engineering through Exploratory Data Analysis, the model identifies interpretable reasons and patterns contributing to customer churn.
Overview
The Customer Churn Prediction Solution is designed to accurately identify customers who are most likely to cancel a service or product subscription, enabling proactive retention strategies. By analyzing customer behavior and the correlation between various features and churn, our model provides valuable insights into why customers churn. With the ability to predict churn within 30, 60, or 90 days based on the customer lifecycle, our solution empowers businesses to take timely actions and minimize attrition rates.
The churn model can :
- Predict a customer's tendency to disengage.
- Assist digital media ventures in gaining insights into users who have a high proclivity to churn away.
- Help plan around the different marketing strategies that can be used to minimize the churn rate.
By leveraging the Customer Churn Prediction Solution developed using the AWS Capabilities like Amazon Aurora,S3, Sagemaker,SNS, you can proactively identify customers who are at risk of leaving and put retention strategies in place that are specific to them.
| Sold by | Quantiphi |
| Categories | |
| Fulfillment method | Professional Services |
Pricing Information
This service is priced based on the scope of your request. Please contact seller for pricing details.
Support
Reach out to:
Jim Keller AWS Channel Global Leader, Quantiphi Email- aws.programs@quantiphi.com
Website: https:/www.quantiphi.com