Having trouble understanding why your shoppers are abandoning their carts before making it to checkout? Don’t worry, you’re not alone.
Due to the lack of granular reliable data, many organizations today struggle with understanding their shoppers’ motives and behaviors when it comes to cart abandonment. Consequently, this leads to a significant amount of missed revenue and a decline in sales conversion rates. As your data stack continues to evolve, it’s important to understand how best to interact with your customers with real-time personalized experiences using best-in-class tools.
In this webinar, we’ll discuss how Snowflake, MessageGears, & Snowplow can help empower you with rich and reliable data on your end-to-end shopper behavior resulting in higher sales conversions and increasing customer lifetime value (CLV).
Join us as we demystify behavioral data collection and discuss:
✅ Composable vs Packaged approaches to CDP and customer engagement powered by Snowflake, the role of behavioral data, and the benefits of a composable, modular model
✅ How the Modern Data Stack powers your marketing use cases. What a modular, unbundled, “connected app” alternative to your legacy SaaS Marketing Cloud MarTech stack looks like in practice
✅ How capturing behavioral data like abandoned browse really works (hint, you don’t need an expensive 3rd party packaged “black box” CDP to solve for it)
✅ How this Warehouse-Native “connected app” approach to behavioral data powers Composable CDP + Customer Engagement MarTech models, reduce tool and process redundancy, cuts costs, and ensures dynamism to power timely, relevant customer experiences that drive meaningful business impact.