AI connects various data sources to accurately identify customers at the highest risk of lapse, enabling effective, personalized retention campaigns. AI-powered insights into the customer experience identify, for the first time, who is going to churn, and why.
Use AI to keep your customers
SparkBeyond’s AI-powered root-cause analysis identifies patterns and drivers of churn at every stage of the customer journey.
- Most customers who churn do so silently, without leaving feedback or clues as to why.
- Retaining existing customers is more cost-effective than replacing them when they’ve gone.
- Many businesses don’t notice the toll churn takes until it noticeably erodes profits.
- Determining a customer’s lifetime value is essential to prioritize retention efforts with effective campaigns.
- By discovering novel patterns in historical customer activity, AI can accurately identify which of your current customers are most likely to churn.
- AI-powered problem-solving technology connects complex data sources to discover millions of drivers of churn, derived from hundreds of data sets and thousands of fields.
- Once the at-risk customers are micro-segmented, AI can then be used for strategic initiatives that recommend the best offer for retention.
- Not only can SparkBeyond accurately predict which customers are most likely to churn, but its root-cause analysis technology discovers the reasons why.
- Our external data network complements incomplete data profiles, exponentially increasing the accuracy of discovered churn drivers.
- Our transparent AI allows all departments to benefit from interpretable insights for retention campaigns, customer service inquiries, and identification of negative customer experience trends.
Churn affects a range of events across an industry’s value chain. Download our whitepaper to learn how SparkBeyond’s churn analytics generated significant impact within the insurance sphere, while reshaping the customer experience with transparent, compliant technology.