This piece was created in partnership with Marcelo Manuel Soto, Co-Founder and CTO of Blue Yeti, and Rick Ruden, Product Marketing Director at Tealium.

In today’s digital landscape, customers expect hyper-personalized experiences across all interactions. To achieve this, businesses must leverage both real-time and historical customer data. Real-time data enables instant engagement, capturing customer intent and responding within a session or experience. Once a customer abandons an interaction, re-engagement becomes exponentially more difficult due to increased friction.

This is where Snowflake and Tealium play a pivotal role. Snowflake serves as the system of record for historical customer data, ensuring a clean, consolidated, and accessible foundation. Tealium activates this data in real time, delivering seamless personalized experiences across web, mobile, paid media, and email. Additionally, Tealium streams customer behavior data back into the customer profile in Snowflake via Snowpipe Streaming API. This ensures customer data stored in Snowflake is comprehensive, accurate, and continuously updated, providing a real-time, consent-verified data flow that facilitates a tighter turnaround time for analysis.

The Power of Snowflake, Tealium, and BlueYeti AI Agents: A Winning Combination

Creating personalized customer experiences takes smooth data flow, real-time insights, and smart automation. That’s where Snowflake, Tealium, and BlueYeti AI Agents come together—making it easier to turn data into meaningful customer connections.

Snowflake: The System of Record for Historical Data

It starts with Snowflake, centralizing customer data from sources like CRM, POS, and third-party platforms. Real-time behavioral data from Tealium flows in via the Snowpipe Streaming API, ensuring up-to-date insights. With top-tier governance and petabyte-scale analytics, Snowflake transforms data into actionable intelligence. But data alone isn’t enough—action is key.

  • Centralize customer data from multiple sources such as CRM, POS, third-party data
  • Store behavioral data streamed from Tealium in real-time via Snowpipe Streaming API
  • Ensure data quality, governance, and security
  • Provide analytics at petabyte scale to extract meaningful customer insights

Tealium: Activating Real-Time Personalization

Tealium captures customer interactions in real time, enabling instant data orchestration and omnichannel personalization. Behavior data streams back to Snowflake, creating a continuous feedback loop. With built-in consent verification and a composable CDP, marketing teams can engage customers with precision and compliance. To scale and optimize these efforts, intelligent automation is essential.

  • Collects customer interactions across touchpoints in real time
  • Applies real-time customer data orchestration to optimize engagement
  • Activates omnichannel personalization based on up-to-the-moment behavior
  • Streams customer behavior data back into Snowflake via Snowpipe streaming API
  • Ensures consent-verified data flow for compliance and accuracy
  • Enables marketing teams to build and operate their own composable CDP tailored to their business needs

Snowflake Native AI Agents by BlueYeti: Automating CDP Operations and Personalization

BlueYeti’s AI Agents, natively integrated with Snowflake, automate CDP operations—dynamically defining audiences and refining personalization strategies. Trained on industry-specific data, they adapt to customer behavior in real time, driving faster insights, stronger engagement, and scalable conversions.

  • Automates many of the manual tasks associated with operating a CDP
  • Define audience segments dynamically based on historical and real-time data
  • Leverage AI models specifically trained for the customer’s industry and target audience
  • Dynamically adjust personalization strategies to optimize engagement and conversions
  • Facilitate faster insights and execution, ensuring teams can scale personalization efforts efficiently

Real-World Example: Hyper-Personalization in Mortgage Finance

A leading mortgage lender wanted to improve engagement by delivering real-time personalized offers based on customer browsing behavior. By integrating Snowflake and Tealium they could achieve:

  • Historical Insights: Snowflake provided a unified view of customer transaction history, preferences, and browsing history – including details from the online mortgage calculator.
  • Real-Time Activation: Tealium detects real-time behaviors, and serves relevant mortgage offer/rate discount details as the customer is browsing mortgage options.
  • Personalized Engagement: AI-driven triggers generated in Snowflake, and passed to Tealium were used to activate relevant CTA and loan offers via email, paid media, and push notifications within seconds.
  • Streaming Data for Faster Insights: Tealium’s streaming capabilities ensured that customer journey intelligence and behavior data were continuously updated in Snowflake, allowing for rapid analytics and personalization adjustments.

The result? A 30% increase in application conversions and improved customer satisfaction. Snowflake native BlueYeti AI agents can add additional automation to a use case such as this one, ensuring that the feedback loop is as tight as possible.

The Business Value of AI-Powered Real-Time CDPs

  1. Increased Conversion Rates: Engaging customers instantly while intent is high boosts conversions.
  2. Unified Customer Profiles: Breaking down data silos ensures a holistic customer view.
  3. Higher Retention and Loyalty: Personalized experiences foster stronger customer relationships.
  4. Optimized Marketing Spend: AI-driven targeting ensures the right message reaches the right customer at the right time.
  5. Composable CDP Flexibility: Advanced marketing teams can operate their own tailored CDP using Tealium on Snowflake.
  6. AI-Driven Automation: BlueYeti AI Agents reduce manual efforts, ensuring precision in defining audiences and personalization strategies.

Industry Insights on Hyper-Personalization

According to a study by McKinsey, businesses that leverage AI-driven personalization see a 5-15% increase in revenue and a 10-30% increase in marketing efficiency.1 Furthermore, 71% of consumers expect companies to deliver personalized interactions, and 76% get frustrated when it doesn’t happen.2 Gartner predicts that by 2025, 80% of brands will abandon personalization efforts due to the complexities of managing customer data, highlighting the need for AI-driven, real-time solutions.3

Deploying an AI-Driven Real-Time CDP

To get started with hyper-personalization using Snowflake, Tealium, and BlueYeti AI Agents:

  1. Unify Data in Snowflake: Aggregate customer data from all touchpoints.
  2. Deploy Tealium for Real-Time Data Collection: Implement event tracking across channels.
  3. Leverage AI for Decisioning: Use machine learning models to predict and activate personalized experiences.
  4. Stream Data Back to Snowflake: Ensure continuous data updates using Snowpipe streaming.
  5. Automate with BlueYeti AI Agents: Reduce manual efforts and enhance decision-making with AI-driven automation for audience segmentation and personalization.
  6. Optimize and Iterate: Continuously refine personalization strategies based on performance data.

Conclusion

The future of customer engagement lies in real-time personalization powered by AI. By integrating Snowflake’s historical data capabilities with Tealium’s real-time activation and streaming capabilities, along with Snowflake native AI Agents by BlueYeti to automate CDP operations, businesses can drive superior customer experiences, maximize conversions, and achieve sustainable growth. Now is the time to harness AI-driven CDPs to stay ahead of customer expectations and industry trends.

  1. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/the-value-of-getting-personalization-right-or-wrong-is-multiplying
  2. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/unlocking-the-next-frontier-of-personalized-marketing
  3. https://www.gartner.com/en/newsroom/press-releases/2019-12-02-gartner-predicts-80–of-marketers-will-abandon-person

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Rick Ruden

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