Kubit analyzes user interactions with AI agents to provide insights into user behavior, retention, and engagement, enriching data with user intent and sentiment to aid in improving AI functionalities.
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overview
Product Analytics for Agents and Users is a customer journey analytics tool developed by Kubit AI that enables Product Managers, Analysts, and Business Leaders to optimize agent actions with user behavior. It connects agent traces to user actions, providing self-service analytics capabilities directly within cloud data warehouses like Snowflake, BigQuery, and Databricks.
features
Kubit AI's Product Analytics for Agents and Users offers a suite of features designed to provide deep insights into user interactions with AI agents and optimize product performance. The platform supports various analytical reports and integrates with existing data infrastructure.
use cases
Product Analytics for Agents and Users is primarily designed for roles focused on product development, data analysis, and strategic decision-making within organizations utilizing AI agents. It empowers various stakeholders to gain actionable insights without extensive technical dependencies.
how to use
To begin using Product Analytics for Agents and Users, users typically connect their existing cloud data warehouse and configure data streams from their AI agents. The platform then enables the creation of various analytical reports and dashboards.
pricing
Product Analytics for Agents and Users operates on a freemium model, offering a free tier for basic usage and a paid plan for expanded capabilities. The pricing structure includes a base monthly fee for the Pro Plan and usage-based charges for queries.
Pricing Page
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Kubit AI's Product Analytics for Agents and Users distinguishes itself in the market through its warehouse-native approach and specific focus on connecting AI agent performance with user behavior. This contrasts with several competitors that offer broader conversational analytics or bot-building platforms.
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