Who this is for
- Agencies, ecommerce brands, coaches, and service teams that need clearer reporting.
Looker Studio dashboard setup service
Build a Looker Studio dashboard around decisions, not every available metric.
I create focused Looker Studio dashboard views for marketing, ecommerce, sales pipeline, or leadership reporting by starting with the operating questions the dashboard must answer.
Symptoms buyers recognize
- Reports are pulled manually from several tools.
- Leadership, marketing, sales, or operations need a clearer view of the same numbers.
- The team needs a dashboard that supports decisions without overbuilding a BI system.
What I review or build
I define the dashboard purpose, operating questions, data source plan, metric definitions, page structure, review flow, and basic usage handoff for a focused Looker Studio dashboard.
Deliverables
- Dashboard structure.
- Operating question list.
- Data source connection plan.
- Key metrics layout and definition notes.
- Source limits and refresh expectations.
- Review and handoff notes.
Not included
- Data warehouse engineering.
- Complex attribution modeling.
- Custom BI app development unless scoped.
Access needed
Access or exports for the intended data sources, the business questions the dashboard must answer, preferred date ranges, and the audience who will use the dashboard.
Why this approach
This is different from making a dashboard full of available metrics.
The dashboard starts with the decisions the team needs to make. A useful report should reduce confusion, show what changed, point to the handoff that needs attention, and make the next review easier.
- I define the business questions before choosing charts and fields.
- I keep the first view focused on metrics the team can act on.
- The handoff notes explain source limits, refresh expectations, and how to read the report.
Before scope starts
First we confirm the handoff, access boundary, and proof path.
Define the working path
We start with the business goal, the tools involved, what should happen, what happens now, and one real example of the failure. That keeps the scope tied to an operating problem instead of a generic tool request.
Use safe evidence first
Early review can use public links, redacted screenshots, a screen share, or limited collaborator access after scope is clear. Do not include passwords, API keys, payment account details, private customer records, or exported lists in the first message.
Protect active systems
Changes should respect live leads, buyers, automation, tracking, reporting, and team ownership. I do not promise rankings, revenue, ROAS, deliverability, platform approval, or AI-output accuracy from a service page.
Leave a handoff trail
The useful output is not only the setup. The handoff should show what changed, what was tested, what remains risky, who owns each next step, and whether documentation, a repair sprint, or monthly support is the right follow-through.
Related context
Read, verify, then choose the right next step.
Service FAQ
Questions buyers ask before a Looker Studio dashboard setup.
What should a good dashboard answer?
A useful dashboard answers a small set of operating questions: what changed, where leads or revenue came from, which handoff needs attention, what the source limits are, and what the team should do next.
Do you clean or rebuild the source data?
Light source review is included, but complex data cleanup, warehouse work, attribution modeling, or custom ETL should be scoped separately before dashboard build starts.
What should be ready before dashboard setup?
The business questions, intended audience, data sources, date ranges, metric definitions, and examples of current reporting confusion should be ready before build starts.
Can this support monthly reporting?
Yes, when the source data is stable enough. The dashboard can become part of a monthly review rhythm, but ongoing analysis or source repair should be scoped separately.