Evidence-backed web and product analytics workspace

Reduce tool sprawl and decision time while keeping behavior data under the client's own control. For marketing and product teams tracking website and user behavior to improve conversions, convert permitted event streams, page context and campaign sources into reviewed, source-linked conversion findings. The benefit is a testable hypothesis, measured through accepted findings per analyst hour and decisions closed with evidence; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted event streams, page context and campaign sources, then follow this sequence: 1. Capture user interactions such as clicks and form submissions. 2. Show website and user behavior data in real time. 3. Analyze conversion funnel steps and flag bottlenecks. 4. Attribute conversions across multiple touchpoints. 5. Highlight trends and suggest actions with AI. Resolve uncertain cases with qualified reviewers, approve reviewed, source-linked conversion findings, and measure accepted findings per analyst hour and decisions closed with evidence against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed tracking schema and consented data set; final marketing and product decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve data rights, source attribution, consent records and usage permissions. Named owners approve substantive findings and external reporting scope. One fixed tracking schema and consented data set; final marketing and product decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One fixed tracking schema and consented data set; final marketing and product decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: capture user interactions such as clicks and form submissions; show website and user behavior data in real time. Support the third module with operator review: analyze conversion funnel steps and flag bottlenecks. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned websites, product apps and permitted campaign sources. Cloud event storage, tag managers and marketing or CRM destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Tracking setup and data sources, Analysis workspace, Findings and client report. Use a project list for sites and properties, a large central analysis canvas, and a right-hand panel for segments, filters and comments. Let users compare periods and variants side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant chart or session. Make the task-specific outcome reviewed, source-linked conversion findings visible beside its evidence, review state and value baseline.