GA4 and store revenue disagree
The dashboard combines sources without explaining attribution, refunds, time zones or metric ownership.
Reporting & Intelligence
Turn platform data into reporting that supports an actual decision.
I design Looker Studio dashboards after defining the business questions, source ownership and metric logic—so the result is more useful than a visually attractive collection of charts.
When this service is needed
The dashboard looks complete, but the team still debates the numbers.
Reporting problems often begin before the dashboard: unclear KPI definitions, different data sources, connector limits and metrics that answer no business question.
Reports are too dense
Every available chart is included, while the decisions and user roles remain undefined.
Data freshness is unclear
Connectors, extracts and refresh schedules are not documented for the people using the report.
Agency reports take too long
Manual exports and repeated formatting consume time without improving interpretation.
What you receive
A reporting system designed around questions, not chart types.
KPI and audience definition
Identify who uses the dashboard, which decisions it supports and how each metric is defined.
Source and connector plan
Document data ownership, refresh expectations and connector limitations.
Dashboard design
Build clear views for acquisition, conversion, ecommerce or lead-generation performance.
Handover and documentation
Explain filters, data definitions, maintenance and known reporting differences.
Implementation process
A controlled path from diagnosis to validated delivery.
- Diagnose the current system
Review the website, platform configuration, data flow, symptoms and the business outcome that needs reliable measurement.
- Define the implementation plan
Document events, goals, values, identifiers, consent behavior, destinations and responsibilities before changing production.
- Build the agreed solution
Implement the approved changes using the website, tag manager, server container, advertising platform or reporting layer as required.
- Validate real behavior
Test normal journeys and edge cases with the platform diagnostics and payload checks appropriate to the stack.
- Document and monitor
Provide a clear handover, known limitations and a post-launch validation window rather than treating publication as the end of QA.
Platforms and systems
Built around your actual stack—not a one-size-fits-all template.
Looker StudioGA4Google AdsGoogle SheetsSearch ConsoleShopify dataWooCommerce dataMeta reportingBigQuery-ready sourcesCRM exports
Questions before starting
Frequently asked questions
A connector, export or data pipeline is usually required. The appropriate option depends on budget, freshness, data ownership and maintenance needs.
Not automatically. Different platforms use different attribution and processing rules. The dashboard should document source ownership and expected differences.
Yes. Ecommerce reporting can combine store outcomes, GA4 behavior and advertising data when the available sources and definitions are clear.
Reusable structures can be designed, but each client still needs correct data sources, definitions, access and QA. A template should not hide those differences.
Replace reporting noise with a dashboard designed for decisions.
Define the user, the question and the source of truth before selecting visualizations.