If you're looking for a customer behavior prediction platform with adaptive discounting and content personalization, Faraday is a good option. It can help businesses convert leads into customers, predict spend, identify churn, and personalize customer experiences through an adaptive discounting feature. Faraday can consume data from a wide range of sources and offers a single customer view, which can help businesses get a better understanding of customer behavior. It also comes with built-in consumer data, AI safety and stack integrations for robust security and privacy controls.
Another option is Flash, an AI-powered e-commerce tool that uses predictive models to personalize sales and promotions. Flash's dynamic optimized pricing feature calculates the optimal discount levels based on demand, price and historical sales data. It also features customer cohort targeting and real-time analytics to track Lightning Deal performance, making it a good option for e-commerce companies looking to increase customer engagement and drive sales.
If you're looking for a more general purpose set of analytics and AI tools, B2Metric is a good option. It offers data integration, predictive analytics and machine learning abilities to help businesses optimize customer retention, marketing and user experience. Features include customer churn prediction, customer micro-segmentation, campaign optimization and hyper-personalization, so it's a good option for businesses of all sizes.
Although Infer is geared more toward improving KPIs and avoiding underperforming metrics, it also offers predictive tools like lead scoring, customer retention and lifetime value prediction. It integrates with common data connectors and has an interface that's easy to use, which can help businesses shorten sales cycles and cut costs, making it a good option for businesses looking to improve operational efficiency.