01
Report architecture
One decision surface per audience, not one giant chart dump.
[ Platform service ]
Looker Studio / Data Studio Dashboards — built properly, handed over completely.
Looker Studio dashboards, formerly known as Data Studio, that bring campaign, acquisition, and business data together into a readable decision surface.
[ What you get ]
4 deliverables. Nothing implicit.
- Dashboard plan
- The decisions each dashboard supports, defined before any connectors.You own: A written dashboard plan per audience
- Data connections
- GA4, ads, Search Console, and business sources connected and verified.You own: Verified connections in your account
- Metric definitions
- Metrics calculated and named so numbers mean one thing.You own: A metric definition sheet
- Team handoff
- Dashboards delivered with the editing knowledge to extend them.You own: A recorded walkthrough and editing guide
- Done means
- Done means the dashboards load the agreed sources with correct metrics, definitions are documented, and your team can duplicate and extend a report unaided.
- Not included
- Paid connectors and BigQuery costs are yours; data cleanup at the source systems is upstream of dashboards.
$3k–$15k
Typical focused build, fixed price
3–6
Weeks from kickoff to handover, typical
100%
Owned by you at handover
[ How it works ]
The looker studio / data studio dashboards engagement, phase by phase.
- Discover & scope
- We map how looker studio / data studio dashboards fits into your current stack, then agree a written scope with the acceptance criteria attached before work begins.
- Plan & architect
- The implementation plan records the structure, boundaries, and integration points, so build decisions are documented rather than improvised.
- Build & integrate
- Implementation covers dashboard plan and data connections in reviewable increments against the agreed plan.
- Verify & hand over
- We verify the acceptance checks, close the engagement out with team handoff, and hand over documentation your team can operate without us.
[ Capabilities ]
The surface area of a looker studio / data studio dashboards build.
The platform and discipline surface we work across — what an engagement can cover when the scope calls for it.
02
Connectors
Native and third-party connectors chosen on reliability.
03
Blended data
Multi-source blending done with awareness of its limits.
04
Calculated fields
Metric logic documented where it is defined.
05
Scorecards & trends
Layouts that answer questions at a glance.
06
Filters & controls
Interactive controls that survive real users.
07
Scheduling & sharing
Delivery and access modeled on your org.
08
Definition discipline
One number, one definition, written down.
[ Field notes ]
How we think about looker studio / data studio dashboards.
- A readable decision surface
- Looker Studio dashboards, now called Data Studio in current Google documentation, turn scattered campaign, acquisition, and business data into one readable decision surface. The design goal is a report the team actually reads weekly, not a static PDF.
- Who these dashboards are for
- Marketers, analysts, and leadership who need a shared view of performance without exporting spreadsheets every week. It suits teams with data in Google Analytics, Google Ads, Search Console, spreadsheets, or BigQuery.
- What the deliverables cover
- The service delivers a dashboard plan, data connections, metric definitions, and a team handoff. Each step is documented so the dashboard can be extended by the team later.
- Discovery and the dashboard plan
- Discovery starts by identifying the decisions the dashboard must support, then the dashboard plan defines pages and the questions each page answers. Metric definitions lock down what each number means before any chart is built.
- Technical build and data connections
- Data connections are established to sources such as the GA4 Data API, Google Ads, Search Console, spreadsheets, and BigQuery. Each connection is set up with the dimensions and metrics the plan requires, avoiding oversized or ambiguous queries.
- Metrics, dimensions, and visualization
- Metric definitions and dimensions are configured consistently so campaign and acquisition data compare cleanly across sources. Data visualization choices follow the decision surface: the right chart type for each question, with no redundant clutter.
- Quality and reliability
- Calculations and date ranges are validated against source systems so the dashboard does not mislead. Named calculations and consistent filters keep the report stable when new data arrives.
- Launch and rollout
- Launch includes organizing the report into a clean structure and confirming access for the intended audience. Version history keeps a record of report changes for accountability.
- Measurement and reporting cadence
- Scheduled reports and email delivery keep the decision surface fresh on a regular cadence. The dashboard becomes the reporting layer above GA4 and campaign platforms, replacing manual pulls.
- Handoff and enablement
- The team handoff covers editing connections, adjusting filters, and adding pages without breaking existing charts. Sharing is configured so the right stakeholders see the right views.
- Ongoing care
- Ongoing care involves updating data connections and metric definitions as sources change, and refreshing the dashboard plan as questions evolve. The report stays aligned with current business priorities.
- Related services
- This service builds on GA4 Setup for a trustworthy data layer and on Google Tag Manager for dependable event flow. It also supports analytics-cro work by giving experiments a shared reporting view.
[ Common questions ]
Common sources include the GA4 Data API, Google Ads, Search Console, spreadsheets, and BigQuery. Connections are defined per report and can be changed as needs evolve.
Metric definitions are agreed in the dashboard plan before charts are built, and calculations are validated against the source systems. Consistent date ranges and filters keep comparisons meaningful.
Yes. The handoff includes guidance on editing connections, filters, and pages, and sharing is configured for the intended audience. Named calculations make future edits safer.
Connected data sources refresh on a schedule, and scheduled reports can email a fresh snapshot to stakeholders. Manual exports are no longer needed for routine reporting.
The GA4 Data API feeds Looker Studio, so the dashboard presents the same underlying data in a purpose-built decision surface. GA4 Setup ensures that underlying data is trustworthy.
[ Industry examples ]
Analytics & CRO work by other teams.
Industry case studies in this practice area — the problem, the build, and the results, credited to the agency that delivered each one.
Analytics & CROGTIA (Global Technology Industry Association) · 2026
CRO sprint fixes conversion leaks on a 96,000-visit homepage
96,370annual homepage page views addressed
By Campaign CreatorsConversion rate optimization
Analytics & CROHackerOne · 2026
Data-led redesign lifts HackerOne conversions 27% ahead of its biggest event
+27%conversion rate
By Cro MetricsConversion rate optimization
Analytics & CROPlacemakr · 2025
One layout change lifts paid search conversions 50%
+20%add-to-cart rate, overall traffic
By DirectiveConversion rate optimization
[ Sibling platforms ]
Other ways we build in analytics & cro.
[ Field guides ]
Go deeper on looker studio / data studio dashboards.
[ Next step ]
Start with a scoped proposal. Price attached.
contact@nexsumlabs.tech — we reply within one business dayBack to Analytics & CRO