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Thirty minutes, run against your goals. No homework before it.
A quick conversation on your goals, challenges and workflows, so the demo is tailored to you.
Clootrack in action: agentic AI surfacing what is important, why it happened, where it happened and so what to be done.
Open questions, then recommended next steps and timelines for your team.
Five things the other tools do not do.
AI alerts with the what, why, where and so what.
Connect 400+ internal sources and 1,000+ external websites, across structured and unstructured data, without the complexity of external ETL.
Learn moreUnbiased thematic analysis. Covers both structured and unstructured data.
Learn moreZero-resource deployment. Go live and configure changes faster than ever with our data analysts.
Learn moreThe read, in their words.

“By combining AI with proven experience data, businesses can identify the experiences that matter most, prioritize investment, and directly connect improvements in customer experience to revenue growth, margins, brand strength, and long-term enterprise value.”Read the story
Eight awards across G2, Gartner, Capterra, Crozdesk and Software Advice
Clootrack is used by consumer brands, management consulting firms, private equity firms, and fundamental hedge funds to turn customer and market evidence into measurable business outcomes.
Consumer brands use Clootrack to improve outcomes such as NPS, returns, conversion, assortment, customer retention, product experience, contact-center performance, and growth. They also use Clootrack to accelerate product innovation by identifying unmet needs, emerging customer behaviors, product gaps, and changing preferences much faster than traditional research cycles.
Management consulting firms use Clootrack to save hundreds of hours of research and analysis, while accessing customer and market evidence that is often difficult or impossible to obtain through traditional research. This is especially valuable for strategic workshops, growth strategy, market assessments, and due diligence.
Private equity firms and fundamental hedge funds use Clootrack to rapidly build an outside-in view of a company, category, or market. It helps investment teams move faster during due diligence by identifying customer strength, competitive positioning, emerging risks, growth opportunities, and shifts in consumer behavior that may not be visible in financial or operational data alone.
Within these organizations, Clootrack is used by leaders across CX and VoC, consumer insights, strategy, product, ecommerce, merchandising, marketing, contact centers, data and AI teams, investment teams, and senior management.
An Outcome Agent is an AI agent built around a specific business KPI or goal, such as reducing returns, improving NPS, increasing conversion, improving assortment, or reducing churn.
Instead of simply analyzing feedback or answering questions, the agent continuously examines the customer and business evidence relevant to that goal, identifies what is driving the outcome, detects what is changing, and recommends where the business should act.
Dashboards tell you what happened. AI chatbots make it easier to ask questions about your data. Outcome Agents are built around what the business is trying to improve.
Clootrack brings together the evidence relevant to a KPI, understands the underlying drivers and relationships, reasons against the business goal, and continuously identifies what should change to improve the outcome.
Customer feedback often explains why a business KPI is moving, but the answer rarely exists in feedback alone.
Clootrack combines customer signals such as reviews, surveys, calls, chats, and conversations with relevant business data such as transactions, returns, products, stores, customer segments, and operational metrics.
Its understanding layer identifies the important themes, behaviors, relationships, and changes across that data. The Outcome Agent then uses this context to reason about what is driving the KPI and what actions are most likely to improve it.
You do not need to begin with a large integration project.
A fast way to start is with publicly available online reviews, which require no integration and can immediately reveal customer needs, friction points, competitive differences, emerging behaviors, and the reasons behind customer choices.
Once the initial agent is running, Clootrack can expand the evidence base with internal sources such as surveys, contact-center conversations, CRM data, transactions, returns, product data, and operational metrics.
This allows teams to start quickly and add deeper business context over time.
No.
Clootrack is designed to work with the systems you already have. Your existing platforms can continue to collect, manage, and store data.
Clootrack adds the understanding and reasoning layer across those sources, connecting customer context with business performance so Outcome Agents can identify what is driving a KPI and what should change.
Clootrack is designed to ground recommendations in actual customer and business evidence rather than relying on an LLM's general knowledge.
Teams can trace conclusions back to the underlying themes, patterns, data points, and customer verbatims supporting them.
This makes it possible to understand not only what an agent is recommending, but also why it reached that conclusion and what evidence supports it.
Clootrack can create Outcome Agents around the goals that matter to your business.
Prebuilt agents make it faster to get started with common outcomes such as returns, NPS, conversion, assortment, and retention. But the same platform can be configured around your own KPI, business question, data sources, and decision process.
The starting point is the outcome you want to move.
Clootrack is designed to minimize setup effort.
You can begin with sources that require little or no integration, such as online reviews, establish the important drivers of the outcome, and prove value before connecting additional systems.
Internal data can then be added progressively where it materially improves the agent's ability to understand and influence the KPI.
This avoids turning the initial deployment into a large data-transformation project.
You can start getting useful customer and market evidence as soon as the first relevant data sources are available - generally in a couple of hours.
Many use cases can begin with external customer evidence without waiting for internal integrations. From there, the agent becomes progressively more powerful as internal business data is added.
The goal is to start learning and acting quickly rather than wait until every possible data source has been connected.
Yes.
Clootrack is designed to fit into an enterprise's existing data and AI architecture rather than become another isolated destination.
It can work alongside your data platforms, business applications, and enterprise AI environments, while making its intelligence available through the interfaces your teams already use.
For organizations with stricter infrastructure requirements, Clootrack can also support deployment within the customer's own cloud environment.
Clootrack is built for enterprise use and supports the security, access-control, and deployment requirements needed for sensitive customer and business data.
It supports enterprise authentication and role-based access, and can be deployed within a customer's own cloud environment when required.
Clootrack is also built to support enterprise security and compliance reviews, with the documentation and certifications required for vendor and risk-assessment processes.
Clootrack is built around measurable business outcomes rather than reporting activity.
Depending on the business, Outcome Agents can be used to improve NPS and customer satisfaction, reduce returns, identify conversion friction, improve assortment and product decisions, reduce churn, improve contact-center performance, accelerate product innovation, uncover growth opportunities, and identify emerging customer or market risks.
For consulting and investment teams, the outcome may instead be faster and stronger strategic analysis, better due diligence, or identifying business risks and opportunities that would otherwise be difficult to uncover.
The common principle is the same: start with the outcome that matters, assemble the evidence required to understand it, and use an agent built to improve it.