From Question to Hypothesis to Action: Meet The Deep Insights Agent

Customer expectations change, markets change, and the idea of business as usual now means everything is always changing. You need to make decisions faster. But it’s not just about faster decisions, it’s about more accurate decisions, based on deep analysis of real customer data from across your organization.  

Manually digging into data or waiting your turn for a data analyst to help is no longer an option. 

When decisions can’t wait, you need deep insights you can trust. The Deep Insights Agent makes it easy for non-technical business users to ask strategic questions of governed CDP and first-party data, revealing the trends, patterns, and opportunities that drive action forward.

This month, we’re looking at how the Deep Insights Agent from the AI Agent Foundry helps you uncover trends and turn patterns into action faster.

You need answers, not ad hoc reporting

You’re drowning in dashboards that tell you everything and nothing. Or you’re waiting days to weeks to get a data analyst to help you with your questions. Or maybe you’re struggling to stitch together the data in your customer data platform (CDP) and the data in your first-party data ecosystem. 

You don’t have weeks or months to make a decision. You need insights and information to come fast so you can make decisions at the right time. But you also need accuracy and consistent analysis, and manually digging into your data can take a long time and give you neither.

The Deep Insights Agent can provide you with the information you need from all your customer data and help you turn patterns into plans.

Agent roll call: Meet the Deep Insights Agent

The Deep Insights Agent lets you ask strategic questions of all your customer data – CDP + first-party data ecosystem (e.g., data warehouse, data lake, owned applications) – and get insights that can power campaign hypotheses and strategies, product optimization, and revenue growth. 

This is no ordinary analyst agent, though. Reducing time-to-insight from days to minutes, the Deep Insights Agent performs deep analyses, generates hypotheses, and runs multiple evaluations on the data to deliver accurate insights. It supports this data-driven decision-making with automated, scheduled analysis. 

Who is this agent for?

If you’re a Product Manager, Business Analyst, Marketing Strategist, or part of a CX team, you will benefit from this agent. It’s built for non-technical teams, so you don’t have to be a data analyst expert. The agent shortens the path from question → hypothesis → action, powering campaign hypotheses, campaign retrospectives, web engagement strategy, product optimization, and revenue growth.

With the Deep Insights agent, you get decision-ready briefs with recommended actions (such as segments to create, tests to run, or journey tweaks), including confidence levels and data source references for transparency. It’s designed for anyone who needs to understand their data and avoid the manual analysis that can be time-consuming and inconsistent, democratizing access to deep insights across the organization. 

Marketers or CX teams can explore cohorts, identify untapped audiences, or high-impact drop-offs. They can experiment more quickly, translating hypotheses into tests and segments, and then apply the insights to action. 

Some common use cases:

• Campaign performance evaluation and trend detection
• Customer segment behaviour analysis
• Deep analysis of a customer engagement campaign
• Data quality issues identification and resolution
• Automated generation of regular marketing reports.

Dashboards tell you what, the Deep Insights Agent tells you what now

The Deep Insights Agent goes deep into your data to help you understand not only what has happened in the past and why, but also the potential opportunities you can take advantage of.

It provides capabilities such as:

• Campaign Hypothesis Builder: Identify which segments over-indexed on a campaign and suggest A/B test hypotheses.
• Campaign Retrospective: Explain why a metric (e.g., CTR) changed and recommend next steps.
• Web Engagement Strategy: Detect high-intent behaviors and propose on-page prompts or journey triggers.
• Opportunity Discovery: Find high-LTV lookalikes not currently targeted.
• Funnel Analysis: Pinpoint where first-time buyers drop off and recommend a UX or messaging tweak

It all starts with asking a strategic question in natural language. Here are a few more examples:

• Explain why CTR rose but conversion fell for the [Spring Promo]. Break it down by audience, device, and landing page.
• Which customer cohorts have rising AOV but flat conversion in the last 90 days, and what hypotheses explain the gap?
• Find three underserved micro-segments likely to respond to a [bundle/discount/new feature] based on past behavior.
• Identify content categories that drive add-to-cart but not purchase; propose microcopy and UX tweaks.
• Find lookalike audiences of high-LTV customers we aren’t targeting; estimate reach and create a draft segment.

The Deep Insights Agent performs a multi-step analysis that you configure in workflows, pulling together relevant data from across your customer data platform and first-party data ecosystem. It works with governed identities and events, adhering to role-based access (RBAC) levels and auditing all actions. 

Instead of simply looking for the first possible answer to a question, the Deep Insights Agent performs a Why-Chain analysis, systematically tracing the problem through successive causal layers. It’s constantly asking why until it reaches a cause that is foundational or no longer actionable. 

The agent identifies not only what happened but why it happened, and generates hypotheses that you can use to inform strategy, testing, and execution. 

The agent generates decision-ready narratives via structured, interactive HTML reports, delivered via email, Slack, wiki, and other enterprise channels. The reports include confidence levels and data sources for transparency, so you always know where the data came from.

Not only can you perform deep analysis on your data and get answers quickly, but you can also leverage activation hooks that move you from insights to action faster, including segment creation, test setup, and journey tweaks, without switching between tools. 

How fast can you put it to work?

You can get the Deep Insights Agent up and running in less than a month. 

Explore the AI Agent Foundry

We’ve talked about the Multi-Touch Attribution Agent and the Deep Insights Agent, but these are only two agents in Treasure Data’s AI Agent Foundry. Other agents include the Audience Agent and the Journey Optimizer Agent.

Each agent is purpose-built for specific tasks, pre-trained, and built on the Diamond Record, Treasure Data’s foundational trusted data layer. Agents can also call other agents to create autonomous workflows. 

The AI Agent Foundry is a core component of the CDP, ensuring the security, auditability, and operational oversight necessary for successful AI integration within your organization. Customers and partners can also create their own AI Agents, tailored to address unique CDP challenges. 

Unlock the power of your data, faster and smarter

The Deep Insights Agent is the fastest way to dive deep into your customer data and turn patterns and trends into plans. With this agent, you get faster decisions, fewer analytic bottlenecks, and improved experimentation velocity. 
Learn more about how the Deep Insights Agent and AI Agent Foundry can work in your organization.