July 2026 Summaries

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.