Zaius, a CRM platform provider, has launched Zam, a data science-powered marketing assistant. The tool combines the shopper visibility of a customer data platform and the cross-channel campaign functionality of an email service provider with business intelligence derived from data.
Retail marketers can use the solution to gain a complete view of their shoppers by connecting all customer data sources and stitching the identities of both known and anonymous visitors, which is designed to enable deep segmentation, personalization and cross-channel campaign orchestration. Zam trains itself on the brand’s data, which enables it to find opportunities, automate tasks and streamline execution.
The addition of Zam gives Zaius users a number of predictive and descriptive capabilities, including:
- Predicting customer behaviorby anticipating each shopper’s likelihood to purchase in real-time, letting retailers seamlessly launch behavioral triggers;
- Uncovering hidden product opportunitiesthrough better understanding which products are performing well and which are not; and
- Personalizing messagingusing native product recommendations embedded into the CRM, which can connect shoppers with relevant products with the launch of web modals and expanded behavioral segmentation.