Make use of packaged analytics models to derive actionable customer intelligence like churn score and Next Best Offer recommendations to augment your decisions. Harness market-proven models to get accurate insights quickly as compared to homegrown and heuristic models since they are developed with decades of domain experience and are trained with billions of data from different markets.
Make use of standard data connectors and APIs to feed in data from different data sources and deliver customer intelligence to any MarTech or Customer Engagement systems with ease. Improve your campaign design and planning without disrupting the existing workflows as the solution will bring in required customer insights and recommendations automatically to your decisioning framework within the execution system.
Deploy the built in machine-learned decisioning framework that can recommend a prioritized set of offers or churn score for each customer to maximize upsell/cross-sell and retention opportunities with accuracy. You can save your effort in manually analyzing data or building predictive or prescriptive models from scratch using general purpose systems to derive insights for each customer to design CVM campaigns effectively.
Get an aggregated count of all insights and recommendations suggested by the solution. Analyze the performance and efficiency measures like the success rate of recommended offers/products or accuracy of churn prediction using simple visualization and charts.
Leverage the analytics and AI developed with decade-long domain understanding and experience having worked with over 70 B2C Enterprises to help you in planning and designing your CVM programs. Make use of proprietary set of exploratory analysis templates, dashboards and campaign tactics along with output from AI/ML models to arrive at best possible campaign design constructs like segments, offers etc for executing retention and upsell/cross sell campaigns on the fly.