Webinar
Unlock AI-driven personalization with RudderStack & Snowflake
Duration37 minutes
Speakers
Eric Dodds
Senior Director of Product Strategy
Wei Zhou
Director of Data Engineering, Wyze
Pei Guo
Senior Data Scientist, Wyze
Wyze’s customer engagement team wanted to increase conversions by sending personalized offers, but messy data and complex identity resolution were slowing down their data engineering and AI teams.
Using RudderStack and Snowflake, Wyze’s data team was able to collect clean, comprehensive data, quickly model it into an identity graph and customer 360 table, then make that data available to their AI team for modeling directly inside of Snowflake’s Data Cloud.
Now Wyze’s customer engagement team ships 3x the number of AI-driven, personalized campaigns.
- Ensuring Data Quality - Wyze uses RudderStack to capture and govern first-party behavioral and clickstream data from their website and mobile apps, and automatically sends it to marketing tools like Braze for real-time activation and to Snowflake for analytics and AI use cases.
- Identity resolution and customer 360 - Wyze uses RudderStack to automatically generate an identity graph that represents the entire customer journey. Building on the identity graph, they can easily generate the data points needed by their AI and customer engagement teams (number_abandoned_carts_last_7_days, avg_cart_amount_last_90_days, etc.)
- Syncing warehouse data to business tools - Using RudderStack, Wyze can sync their most valuable customer data directly from Snowflake’s data cloud to the business tools that their customer engagement and product teams are using.