AI Agent Event
Collection & Analytics
The data application that helps your business better understand the impact of GenAI on your customers’ behavior
Introducing AI AgentEvent Collection & Analytics
Snowplow AI Agent Event Collection and Analytics data application, launching June 4, 2024 with Snowflake Cortex, helps brands understand the impact of Generative AI investments, such as customer chatbots and LLM agents, on the customer journey and digital experience. Snowplow AI Agent Event Collection and Analytics data application will soon be integrated with most preferred cloud data platforms.
Sentiment Analysis
Deeper Customer 360 Insights
LLM Effectiveness
Model Experimentation
Challenges in the Adoption of AI Agents
Understanding Impact of AI Investments
As companies increasingly invest in AI to differentiate themselves and gain a competitive edge, understanding its impact on customer behavior and financial performance is crucial.
Lack of Customer Data Infrastructure
Many businesses lack the proper infrastructure to collect detailed behavioral data between customers and large language model (LLM) agents, hindering their ability to leverage AI effectively.
Integrating AI into Customer Experience
In an era where customer experience is increasingly shaped by interactions with generative AI applications, it’s essential for businesses to incorporate AI into the customer experience to gain a competitive edge.
Change Management for AI
Companies must update their operations to incorporate the insights generated from AI-driven customer experiences into their broader analytics and data science workflows.
Sentiment Analysis
Real-Time Measurement of AI Interactions
Measure your customers’ conversations with AI agents in real-time to better understand engagement vs frustration. Snowplow will help determine if human intervention is required or trigger follow-up communications to promote conversion.
Real-Time Conversation Analysis via Snowpipe Streaming
Actionable Insights in your Data Warehouse
Adapt the Experience for Customers
LLM Effectiveness
Enhance Customer Insights and ROI
Understand the performance of the LLM responses to drive desired customer behavior. With intent matching modeling powered by Snowflake Cortex, teams can better correlate the LLM’s recommendations to customer conversion (purchasing, subscribing, etc).
Assess LLM Fulfillment in Streamlit Dashboards
Optimize GenAI Investments and Models
Breakdown Different Intent Matching Models (Exact, Broad, Proximity)
Deeper Customer 360 Insights
Overcome Limitations in AI Interaction Data Collection
Traditional digital and product analytics tools are limited in their collection of AI agent interactions. Our next-gen CDI allows teams to seamlessly collect real-time behavioral data from unstructured conversations between humans and LLMs.
Overcome Limitations from Traditional Analytics
Leverage Next-Gen CDI Capabilities
Improve Accuracy & Depth of Data Collection
Model Experimentation
Understand the Impact of LLMs on Your Customer Experience
Subdivide customers into treatment and control groups to quantify the incremental benefit of your LLM agent on the customer journey. This data allows the organization to identify optimizations across the agent journey and communicate the GenAI program’s ROI.
Uplift Modeling to Assess Impact of GenAI on Customer Journeys
Identify Opportunities to Incorporate or Reduce AI Agent Intervention
Compare and Optimize Different Customer Agent Implementations
