One dashboard, not five exported spreadsheets
Looker Studio dashboards that answer specific business questions, refreshed automatically.
A marketing dashboard is an automated reporting view, built around specific business questions, that pulls live data from your marketing and analytics platforms instead of requiring manual export and assembly.
What is Marketing Dashboards?
We build a live reporting layer - typically Looker Studio, backed by a warehouse like BigQuery when native connectors fall short - that pulls data automatically from your ad platforms, analytics, and CRM into one view built around the questions your business actually asks. No more static export that someone has to manually refresh and reassemble every reporting period.
A dashboard nobody built for a specific question just becomes another tab nobody checks. The real cost of skipping this is usually invisible until someone adds it up: a recurring block of time each period spent manually exporting, reconciling, and pasting numbers from five platforms into a spreadsheet - which a properly scoped, automated dashboard eliminates entirely.
It differs from conversion tracking, which makes sure the underlying numbers are accurate, and from a one-off analytics report, which answers a question once rather than automatically every period.
Common problems we solve
"Show me everything" requests
Dashboard requests that start broad instead of naming a specific decision usually produce a wall of charts nobody checks.
Silent breakage on source changes
A platform renaming a field or deprecating an API can quietly break a dashboard or leave it showing stale numbers.
One view for every stakeholder
Executives and practitioners genuinely need different levels of detail from the same underlying data.
Manual export still happening
A recurring block of time each period spent exporting and pasting numbers from separate platform logins.
No documented metric definitions
Different people on the team calculate the same metric differently with nothing written down to reconcile it.
Everything covered in this service
Question-First Design
Starting from the specific decision the dashboard needs to answer, resisting "show everything" scope creep.
Data Pipeline & Warehousing
A BigQuery or SQL-backed data layer for anything beyond native connector limits, refreshed on a schedule.
KPI Selection By Stakeholder
Executive-level summary views versus practitioner-level detail views, with consistent metric definitions.
Visualisation & Layout
Chart types chosen for the specific comparison being made, surfacing the answer rather than just the data.
Maintenance & Source Monitoring
Monitoring for broken connections or schema changes at the source, with scheduled review as questions evolve.
Our optimization framework
Discover Questions
We identify the specific decisions each dashboard needs to support before designing anything.
Map Data Sources
Every required data source is identified and checked against native connector limitations.
Build Pipeline
Where needed, a BigQuery or SQL layer is built to handle joins or history native connectors cannot manage alone.
Design Dashboard
Layout and chart choices are built around the question at hand, not a generic template.
Review & Iterate
The dashboard is reviewed with stakeholders and refined based on what they actually use, not what was originally requested.
What actually changes
| Before | After |
|---|---|
| Numbers exported and pasted manually each period | Dashboard refreshes automatically from source |
| Built around whatever metrics were easy to connect | Built around a specific decision stakeholders need to make |
| Breaks silently when a platform changes its API | Monitored and maintained as data sources change |
| One dashboard trying to serve every stakeholder | Separate executive and practitioner views |
| No shared metric definitions | Documented metric definitions and a data source map |
What we report on
Refresh reliability
Tracked to confirm the dashboard is actually pulling current data on schedule, not stale numbers.
Manual reporting time eliminated
The recurring export-and-paste work the dashboard was built to replace.
Stakeholder usage
Reviewed to confirm the dashboard is actually being opened and used, not just built and forgotten.
Tools & platforms
Industries we optimize for
Built for teams like yours
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
The dashboards that actually get used are almost always the ones with the fewest charts, not the most. A recurring request to add another chart is usually a sign the first version did not actually answer the question it was built for, and the fix is rethinking the question, not adding another visual.
Related Analytics & Tracking services
Get GA4 Data You Can Actually Trust and Act On
We build the events and dimensions that answer your real business questions, not just the GA4 defaults.
Google Tag ManagerOne place to manage every tag, cleanly
GTM implementation and container management so every tracking tag is documented, tested, and reliable.
Know which conversions actually count
Conversion tracking configured across ad platforms and analytics so spend decisions are based on real outcomes.
Stop Cutting Channels That Were Actually Working
We model attribution around your real sales cycle, so upper-funnel channels get credit for the work they're actually doing.
UTM ManagementConsistent tagging is the whole point
UTM naming conventions and governance so campaign data stays clean and comparable over time.
Get Reports That End in a Decision, Not a Wall of Numbers
Every report we send pairs the numbers with a clear, specific recommendation - not just data.
How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
Looker Studio's native connectors are enough for many straightforward setups. BigQuery becomes necessary when you need to join data across sources, retain more history than a native connector allows, or run calculations native connectors cannot handle.
Refresh frequency depends on the data source - most platforms support daily or near-real-time refresh through Looker Studio's native or BigQuery-backed connections.
Yes - client-facing dashboards are a common use case, usually with a simplified view and access controls appropriate for an external audience.
That is why maintenance is part of the scope rather than an afterthought - broken connections are monitored for and fixed, rather than discovered by a stakeholder noticing stale numbers.
No - different platforms sometimes use different attribution windows or sampling logic than their own native reporting UI, which can produce small, explainable discrepancies even in a well-built dashboard. What we guarantee is that any discrepancy is understood and documented, not silently ignored.
Usually more than one - an executive summary view and a practitioner-level detail view serve different purposes and rarely work well as a single dashboard trying to do both jobs.
Tired of rebuilding the same report every month by hand?
Tell us the specific questions your team needs answered, and we will scope a dashboard around those, not around everything that happens to be available.
Ready to get started?
We usually reply within 24 hours.
Marketing Dashboards, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Data Layer | A BigQuery or SQL pipeline pulling from source platforms on a schedule |
| Dashboard Build | Looker Studio dashboards scoped to specific stakeholder questions |
| Documentation | Metric definitions and a data source map for handover |
| Maintenance | Ongoing monitoring for broken connections and source schema changes |
How this compares
| Question-Built Dashboard | Generic Template Dashboard |
|---|---|
| Built around a specific decision stakeholders need to make | Built around whatever metrics were easy to connect |
| Refreshes automatically from source | Requires manual export and assembly |
| Maintained as data sources change | Breaks silently when a platform changes its API |
A dashboard with fewer, well-chosen charts is usually used more than one with more of them.
Where this applies
- A leadership team wants one view of blended paid, organic, and CRM pipeline data instead of five separate platform logins
- A team currently rebuilds the same report manually every month and wants it automated instead
- A business needs a client-facing reporting dashboard that refreshes without manual intervention