Your AI Agent Knows Who the Customer Is. Now It Can See What They're Doing.
Blog post from Snowplow
Companies are increasingly deploying AI agents for customer interactions across various touchpoints like support, sales, and product interfaces, but these agents often lack real-time context of a customer's current actions, leading to less effective responses. Snowplow's new Agentic Context feature addresses this by providing AI agents with a real-time, ordered summary of a customer's recent activities, enhancing their ability to understand and react to customer behavior accurately. Unlike traditional customer data platforms that focus on static attributes, Agentic Context offers a dynamic event stream, allowing agents to intervene effectively in decision-making moments, resolve issues without redundant information requests, and guide customers who are struggling. This real-time behavioral insight is available via a simple API call and can be integrated into existing systems without the need for complex transformations or additional infrastructure. The feature is designed to complement existing customer attribute data, offering a comprehensive view of both historical and real-time customer interactions, and is now available as part of Snowplow's offerings for trial use with existing behavioral data.
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