So you need…

Marketing Dashboards

Updated September 2026

Marketing teams are asked to prove campaign ROI, but the numbers usually live in five separate logins. We design custom marketing dashboards that put campaign performance, traffic, and spend on one screen, built in Power BI or Tableau around the metrics your team actually reports on.

Marketing dashboard designed by The Datalabs Agency in Tableau, showing sales funnel, campaign metrics, paid channel performance, brand health and social media channels

The straight answer

What is a marketing dashboard?

Campaign, traffic, and spend data usually live in separate logins — a marketing dashboard puts them on one screen your team actually opens every week. We design these for you, built around your existing data sources in Power BI or Tableau instead of a generic template.

The Datalabs Agency is a Melbourne-based data visualization consultancy founded in 2012 that delivers corporate training workshops (Power BI, Tableau, data storytelling), dashboard design, and BI style guides for clients including Mercedes-Benz, Adidas, and UPS.

Custom vs off-the-shelf

How is a custom dashboard different from a template?

A template ships with someone else’s chart choices and default metrics. A custom marketing dashboard starts from your campaigns, channels, and reporting cadence, so every chart on the page answers the question your team actually asks each week.

Templates are a reasonable starting point for a small team moving off spreadsheets — our Power BI templates exist for exactly that. A template cannot know that your team tracks cost per lead by channel, or that leadership only cares about three numbers out of a twelve-tab report. A custom-built dashboard is scoped around your actual KPIs and your actual data sources, built to the metrics your team already reports on. That difference matters most once a team outgrows the basics: more campaigns, more channels, and a report that used to take an afternoon to assemble by hand.

Built around your channels

What goes into a marketing dashboard?

Campaign performance, website traffic, spend against budget, and channel comparison usually sit side by side on a marketing dashboard. We choose the chart types and layout around the decisions your team makes each week, instead of a fixed set of default widgets.

This follows the same process behind our wider dashboard design service: sketch the layout before styling it, then build in whichever tool your data already lives in.

Marketing has its own KPIs

How is this different from a general BI dashboard?

Marketing gets its own dashboard because its metrics change weekly: campaign, traffic, and spend numbers your team actually reports on. A general BI dashboard usually mixes finance, operations, and sales metrics that only a few people ever open.

Scoping a dashboard to one function is a design decision. A dashboard trying to serve marketing, finance, and operations at once tends to serve none of them well — too many metrics compete for the same screen, and nobody can find the one number they actually track that week. Building a marketing-specific view means every chart on the page answers a question a marketer actually asks.

Compare your options

Template, workshop, or custom dashboard — which fits?

The right option depends on whether you want a dashboard delivered, or the skills to build one yourselves.

Power BI template Designing Great Dashboards workshop Custom marketing dashboard
Pricing model AU$1,119–$1,969 one-off From AU$4,600 per session Quoted per project
Built from your own campaign data
Who does the building Your team, from a template Your team, after training We build it and hand it over
Best for A fast start on standard KPIs Teams who want the skill in-house Marketing teams who want it done for them

Workshop price shown is the remote half-day rate for up to 12 attendees; on-site and full-day rates are on our workshop pricing page.

Questions & Answers

Marketing dashboards

Think of a marketing dashboard as one screen for the campaign performance, website traffic, and spend data that usually sits in separate platforms and logins. Instead of rebuilding a report every month, your team opens a dashboard that already reflects your Power BI or Tableau data, however you already track it.

Your dashboard goes wherever your data already lives, most commonly Power BI or Tableau. The goal is a dashboard your team keeps using, built around your existing reporting tools.

There is no single marketing-dashboard rate card — every build is scoped to your data sources and KPIs and quoted as a fixed project cost once we understand the brief. The closest published reference points are our AU$250 per hour data visualisation consulting rate and the AU$3,000 to $8,000 per workshop day range for a facilitated build session; ask for a quote for your specific dashboard.

Yes. If you want the skill in-house, our Designing Great Dashboards workshop teaches the same design principles as a live team session, starting at AU$4,600 for a remote half-day.

Yes. We connect the dashboard to your existing data sources and reporting tools instead of asking you to change how your team already tracks campaigns. That is the difference between a template and a dashboard built for your channels specifically.

Two different things are meant by that, and both are on offer. AI-assisted design means the dashboard is designed and built with AI in the loop, which is how a custom build now moves faster than it used to. AI inside the dashboard means it can be built so your team asks questions in plain language instead of only reading the charts. Either way the result is a Power BI or Tableau dashboard your team owns.

Start with the questions, not the charts

How we design a marketing dashboard

I start every marketing dashboard project with a short conversation, not a data pull. What does your team actually decide with this data each week? Which campaigns get paused, which channels get more budget, which numbers go in the Monday report? Those answers decide the layout long before I open Power BI or Tableau.

Most marketing teams already track plenty of numbers — impressions, clicks, spend, conversions, cost per lead — spread across five or six platforms. The dashboard’s job is not to show every metric available.

It puts the handful your team actually acts on in one place, arranged so the story is obvious at a glance instead of buried in a table. The metrics that do not survive that cut are the ones nobody has opened since the platform started reporting them.

I sketch the layout before touching colour or chart type. A campaign-comparison view, a spend-versus-budget tracker and a channel breakdown need three different chart shapes, not one template stretched across all three. Getting the layout right first is what stops the finished dashboard becoming another report nobody opens.

Once the layout is agreed, the build happens in whichever tool your data already lives in. If your team reports out of Power BI, that is where the dashboard lives — see our Power BI dashboard design work. Tableau builds follow the same process.

Dashboards still in use long after a project ends answer a real question every time someone opens them. The target: a tool your team opens on a Monday morning, never a showcase piece.

Founded in 2012, still hands-on

Who’s behind these dashboard designs

I founded The Datalabs Agency in 2012, in Melbourne, after learning visual storytelling at National Geographic. That background shapes how I still think about a marketing dashboard: it is a piece of visual communication first, and a data connection second.

Since then I have built dashboards and BI style guides for clients including Mercedes-Benz, Adidas, and UPS, alongside corporate training workshops in Power BI, Tableau — see our Tableau dashboard design work — and data storytelling. Marketing dashboards are one of the more common requests: every marketing team eventually needs proof of what a campaign actually did.

I still get involved directly in design decisions on every project. Dashboard work, especially the marketing kind, rewards someone who has sat through enough campaign reviews to know which number actually changes a decision and which one just fills a slide.

What’s next in data visualization? I think you know where this is going: artificial intelligence. Where am I going with the Datalabs Agency? Same answer.

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