Looker Studio dashboards people actually open on Monday morning
A dashboard is only useful if somebody changes their mind because of it. We build for that test, and we will tell you when a scheduled email or a single number would serve you better than a page of charts.
What is looker studio?
Looker Studio is Google's free reporting tool for building shared dashboards from sources such as GA4, Google Ads, spreadsheets, BigQuery and CRM exports. Dashboard work covers connecting the sources, modelling the data underneath, designing reports people can read quickly and scheduling delivery. It suits Australian teams who need marketing and commercial reporting without buying enterprise licences.
Get a fixed written quote- Typical timeline
- 2 to 5 weeks
- What drives cost
- Cost is driven by the number of sources, whether warehouse modelling is required and how many stakeholder groups must agree.
- Best for
- Marketing and commercial reporting across several platforms without licence costs
- You own
- The reports, the data sources and the underlying warehouse project
- Built with
- Looker Studio, BigQuery, GA4 and ads connectors, scheduled delivery
Your handover
What Looker Studio is genuinely good at
Looker Studio's strength is reach. It connects to Google's own products natively, reads spreadsheets and databases, costs nothing at the standard tier, and sharing a report is as easy as sharing a document. For a marketing team that needs one page combining search, paid, email and enquiry volume, refreshed automatically and visible to people who will never log into an analytics platform, it is hard to beat.
- 01Connected and documented data sources
- 02Warehouse tables where blending requires them
- 03Summary page designed for mobile viewing
- 04Detail pages by channel, product or region
- 05Metric definitions documented in the report
- 06Validation notes against source systems
- Scheduled email delivery to named recipients
- Access model with editor and viewer roles
- Training session and an editable template
A stakeholder asks for last year as a comparison and it takes a minute, not a change request
It is also fast to iterate. A stakeholder asks for last year as a comparison and it takes a minute, not a change request. That responsiveness matters more than people expect, because reporting requirements change as the business does, and a dashboard that requires a specialist for every tweak stops reflecting reality within a couple of quarters. We build reports your team can adjust, and we teach them how, rather than making ourselves the bottleneck.
- Native connections to GA4, Google Ads, Search Console and Sheets
- Report level access control without per seat licensing
- Scheduled email delivery to people who will never open the tool
- Fast iteration when the questions change mid quarter
- Embeddable pages for intranets and client portals
- A shared visual template so every report reads the same way
A stakeholder asks for last year as a comparison and it takes a minute, not a change request.
Blending data is not the same as modelling it
Looker Studio has a blend feature that joins sources inside the report. It works for simple cases and it is where most self built dashboards come unstuck. Blends run at report load, they are limited in how many sources and what kind of joins they support, and when the join key is imperfect, for example campaign names typed slightly differently in two platforms, the result is silently wrong rather than obviously broken. A chart that looks reasonable and is wrong is worse than no chart.
More on blending data is not the same as modelling it
The durable pattern is to do the joining underneath, in a warehouse, and let the dashboard read a clean modelled table. Campaign naming is standardised once, currency conversion happens once, a lead is defined once. Looker Studio then becomes a presentation layer over a single agreed dataset, which is also what makes reports load quickly. We usually set this up in BigQuery, and the definitions come straight from the measurement plan rather than being invented again in the reporting layer.
How the engagement runs
How we build a dashboard people use
Most unused Looker Studio dashboards fail for the same reason: they were built from what the connectors offered rather than from what somebody needed to decide. So we start with the meeting the report is meant to serve, and design backwards from the moment the number gets discussed.
- 01Name the audience and the meetingWho reads this, when, and what decision follows
- 02Stage 2Agree the metrics and their definitions, borrowed from the measurement plan rather than reinvented
- 03Connect and modelWarehouse tables where blending is needed, direct connectors where it is not
- 04Stage 4Wireframe the report on paper so the argument about layout happens before the build
- 05Stage 5Build the pages, with the summary view designed for a phone screen first
- 06Stage 6Validate every figure against the source system and record any known variance
- 07Stage 7Schedule delivery, set access, and run a short session so the team can edit it themselves
Two decisions on your side that keep the project moving
We also design for the phone, because a manager checks numbers between appointments and a dense sixteen chart grid is unreadable on a handset. One page with the four numbers that matter, then detail pages for people who want to dig. If a chart cannot be explained in a sentence, it comes off the page.
The comparison
Looker Studio or Power BI, compared honestly
These tools are frequently pitched as competitors when they suit different organisations. We work with both and have no incentive to push either. The right choice usually comes down to which ecosystem your organisation already lives in, how governed the reporting has to be, and whether the people consuming reports are marketers or finance and operations staff.
Consideration
Looker Studio
- Licensing
- Free at the standard tier, paid tier for enterprise features
- Marketing data sources
- Native connectors to Google platforms, strong third party ecosystem
- Data modelling
- Light. Serious modelling belongs in the warehouse
- Governance and security
- Report level sharing, limited row-level control
- Large datasets
- Depends heavily on the source, can be slow over big blends
- Who tends to maintain it
- Marketing teams and agencies
Power BI
- Licensing
- Per user or capacity licensing through Microsoft
- Marketing data sources
- Usually needs a connector service or a warehouse in between
- Data modelling
- Strong semantic model with a full calculation language
- Governance and security
- Row-level security, workspaces, deployment pipelines, lineage
- Large datasets
- Handles large models well with the right storage mode
- Who tends to maintain it
- Data teams, finance and IT
Where the choice usually lands
Read the table as trade offs rather than a scoreboard. Plenty of Australian businesses correctly run both: Looker Studio for marketing reporting that changes weekly, and Power BI for governed financial and operational reporting that has to reconcile to the ledger.
Access, sharing and where the data sits
Sharing a Looker Studio report is easy, which is precisely why access needs deliberate thought. A link set to anyone with the link is a link that can be forwarded, and if the report contains customer names, addresses or health related information, you have created a disclosure your organisation is accountable for under the Privacy Act 1988. Reports should show aggregates by default, with identifiable detail restricted to named accounts who genuinely need it.
Data residency is worth asking about too
Data residency is worth asking about too. The report itself queries live from the source, but any extracted data and any warehouse tables sit wherever you created them. We provision Australian regions for warehouse datasets where clients care, which is common for government and healthcare clients and increasingly common everywhere else. We document the access model at handover so a new staff member is not granted editor rights because it was the quickest option.
When a dashboard is the wrong answer
If your data lives in three spreadsheets maintained by hand and disagrees with itself, a dashboard will present that disagreement more attractively without resolving it. Fix the definitions and the collection first. Building the report early feels like progress and usually delays the actual work by a quarter.
Nor is a dashboard the right tool for a question you ask once
Nor is a dashboard the right tool for a question you ask once. That is an analysis: someone looks, writes half a page, and you decide. Building a permanent report for a one-off question creates maintenance forever. And if what you really need is for something to happen when a number moves, an alert or a workflow beats a chart nobody checks. That is closer to workflow automation than to reporting, and it is often the cheaper fix.
How we scope it
Four ways to scope your Looker Studio project
We do not publish package prices, because the same brief can be a short build or a long one. These are the shapes the work usually takes. Tell us which one sounds like you and you will get a fixed written quote that spells out exactly what it covers.
Looker Studio Setup
Tracking that is correct, so the rest is worth reading
Fixed written quote, agreed before work starts
- Connected and documented data sources
- Warehouse tables where blending requires them
- Summary page designed for mobile viewing
Measurement build
The measurement your decisions actually depend on
Fixed written quote, agreed before work starts
- Everything in Looker Studio Setup
- Detail pages by channel, product or region
- Metric definitions documented in the report
- Validation notes against source systems
Full stack
Warehouse, pipelines and reporting across the business
Fixed written quote, agreed before work starts
- Everything in Measurement build
- Scheduled email delivery to named recipients
- Access model with editor and viewer roles
- Training session and an editable template
Looker Studio Ongoing
Keeping it accurate as the site and the tools change
Rolling monthly, quoted in writing
- Tracking checked after every site or tool change
- A named person who knows the account
- Reports maintained as the questions change
- Rolling, cancel with 30 days notice
These are shapes, not menus. Most quotes end up somewhere between two of them, and we will say so when the honest answer is the smallest one. Describe the problem and we will tell you which it is.
Questions buyers usually ask
Frequently asked questions
Ownership and handover
Do we own the reports if we stop working with you?
Yes. Reports are created in your Google account, data sources are owned by your organisation and any warehouse project is billed to you. We are added as editors you can remove. We also hand over the definitions document and a short recording of how the report is structured, so your team or another agency can take it forward without rebuilding.
We run multiple locations. Can each site see only its own numbers?
Partially, and this is where the tool has real limits. You can build filtered report copies or use parameter based filtering, but genuine row-level security is not its strength. For a network where each franchisee must see only their own data with a hard guarantee, Power BI is the better fit. We work through this with franchise groups regularly and the answer depends on how strict the separation must be.
Detail and edge cases
How long does it take to build a reporting dashboard?
Two to five weeks for most engagements. If the sources are clean and connect natively, a focused report can be live in a week. Time goes into agreeing definitions and reconciling numbers against source systems, not into drawing charts. Where a warehouse layer is needed first, add a couple of weeks, and we will tell you at scoping whether that applies.
Looker Studio is free. What are we paying for?
Judgement and reconciliation. The tool is free and the work is deciding what to show, joining sources without producing quiet errors, validating every figure against the system of record, and designing something readable. Cost is driven by the number of sources, whether warehouse modelling is required and how many stakeholder groups must agree. We send a fixed written quote after scoping.
Our dashboard is slow. Can that be fixed?
Usually. Slow reports are almost always caused by too many live queries against heavy sources, complex blends evaluated at load time, or a date range defaulting to all time. The fixes are moving joins into a warehouse table, using extracts for data that does not change hourly, and reducing the number of charts per page. We audit and rebuild rather than starting again.
How much maintenance does a dashboard need?
Expect a small amount continuously. Connectors change, platforms rename fields, and campaign structures evolve, so a report left alone for a year usually has at least one broken chart. Most clients schedule a quarterly review, and we build reports so your team can make routine changes without us. We are happy to hold a light retainer if you would rather not.
Related services
Tell us the meeting your report has to serve
Send the questions your team argues about each month and the systems the answers live in. We answer every enquiry within one business day, then scope and quote it in writing.