Marketing dashboards
Marketing dashboard examples
In short
What a marketing dashboard is
A marketing dashboard is a single screen showing what each channel and campaign returns for what it costs. The ones worth keeping open resolve spend to an outcome: cost per acquisition, return on ad spend, pipeline sourced. Reporting activity like impressions and clicks says less, because those move without meaning anything. Each of the three below names the columns your data needs before it will bind.
| Dashboard | The question it answers | The numbers on it |
|---|---|---|
| Marketing Performance | Which channels are worth the money, week by week? | Spend, Revenue, ROAS, Cost Per Acquisition |
| Campaign Performance | Which campaigns worked, judged on the same terms? | Conversions, Cost Per Acquisition, Conversion Rate, CTR |
| Channel ROI | What does each channel cost to run, and what does it return? | ROAS, Cost Per Click, Cost Per Acquisition, Spend |
Every one is a Mammoth template, shown below on the sample dataset it ships with.
The examples
Three marketing dashboard examples
Each of these is a Mammoth template, captured as it renders on the sample dataset it ships with, so every figure on them is illustrative rather than a result. What none of them is: a picture of one ad platform's own reporting, which is the thing that cannot see past its own conversions.
Example 01
Marketing Performance
Which channels are worth the money, week by week?
Spend, conversions and return for every channel on one view and one set of definitions. Three ad platforms will give you three different numbers for the same week because each defines a conversion differently; deciding that once, in the preparation, is what makes the columns comparable at all.
What is on it
- Revenue over time
- Spend against revenue by channel
- Where conversions come from
- Return by channel
- Conversion rate by channel and region
Your data needsDashboard
- a revenue or money column
- a category (~6 values)

Sample data — illustrative figures, not business results. Example 02
Campaign Performance
Which campaigns worked, judged on the same terms?
Every campaign side by side on cost, conversion and return, rather than each one judged by whichever metric its platform happens to report. Ranked so the campaign that moved is at the top instead of the campaign that is biggest.
What is on it
- Which campaigns carry the volume
- Spend against return
- Acquisition cost spread
- Conversions by type and channel
- Click-through by campaign type
Your data needsDashboard
- a count column
- a category (~15 values)

Sample data — illustrative figures, not business results. Example 03
Channel ROI
What does each channel cost to run, and what does it return?
Cost against return per channel, with the efficiency spread shown rather than averaged away. A channel with a good mean and a wide spread is a different decision from one that returns the same figure every week.
What is on it
- Channels above and below blended return
- Where the budget goes
- Click cost against conversion rate
- Spend over time
- Return by type and region
Your data needsDashboard
- a numeric amount
- a category (~6 values)

Sample data — illustrative figures, not business results.
Other formats
The same numbers, two other ways
The monthly write-up and the recap deck are the two artifacts an agency rebuilds by hand for every client, every period. Both are built here from the same 780 rows as the dashboards above.

Sample data — illustrative figures, not business results. Marketing Performance Report
Can the monthly write-up produce itself?
The period's marketing written up: spend, return and what each channel did.
Marketing · Document

Sample data — illustrative figures, not business results. Campaign Recap Deck
How did that campaign go, for an audience that was not in it?
A campaign told as a story: what it cost, what it returned, what to keep.
Marketing · Presentation
Design notes
What goes on a marketing dashboard
Four things the examples above have in common. They matter more than which chart you pick.
Past the platform's own metric
Every ad platform reports the outcome it can see, which is a click or a form fill.
These carry the same channel through to revenue and return on ad spend — figures no single platform can produce, because none of them can see what the others spent or what eventually closed.
One set of definitions
Three platforms will give you three different numbers for the same week because they define a conversion differently.
Deciding the definition once, in the preparation, is what makes channels comparable at all.
Efficiency, not just spend
Spend on its own ranks channels by how much you gave them.
All three of these carry cost per acquisition, and two carry return on ad spend, so a channel is judged on what it returned rather than on what it consumed — which is the comparison that changes where next month's budget goes.
Ranked against a line, not just each other
A marketing dashboard is scanned, not studied.
These rank campaigns by the volume they carry and channels by whether they sit above or below blended return — so the question a reader arrives with, which of these is not paying its way, is answered by the sort order rather than by arithmetic.
Proof
Agencies and client-reporting teams already running on Mammoth
Published customer stories, linked rather than summarised. All three have the problem this page keeps returning to: the same report, across many channels and many clients, assembled by hand.
- The Specialist WorksCampaign data arriving in a different format from every channel and every client, with analysts spending their time cleaning it before anyone could read it.
- KantarHigh volumes of strictly templated client reports built almost entirely by hand, where the formatting errors that crept in cost trust.
- PTI DigitalA data service productised by making client workflows repeatable, so setting up a new client stopped being an engineering job.
From example to live dashboard
Pretty is easy. Current and true is the hard part.
Any of these can be drawn in a slide. What makes one worth keeping is the five steps underneath it, and they are the same five whichever example you start from.
- 01
Connect the source
The dashboard reads the system, not an export somebody saved to their desktop. 100+ tested connectors, plus anything with a REST API.
- 02
Prepare it once
Cleaning, joining and reshaping are recorded as steps you can read, change and re-run — not a formula buried three sheets deep.
- 03
Check it before anyone sees it
Data checks run with the refresh and flag the rows that fail, so a broken upstream file shows up as an alert rather than as a wrong number in a meeting.
- 04
Put it on a schedule
Refresh on a schedule and the dashboard stays current on its own. Starter schedules daily runs; Pro adds hourly refresh and event triggers.
- 05
Publish it and send the link
Public, password-protected or sign-in only. Every sharing mode is available on every plan, including the free one.
Sharing
Everyone can see it.
Nobody pays to look.
Most dashboard tools charge for every person who opens one, which is why so many dashboards end up as a screenshot pasted into a message. Mammoth charges for the people who build. Viewers are unlimited and free on every plan, including the free one.
You pay for
The people who build
Anyone connecting a source, preparing data or publishing a dashboard counts as a platform user.
You never pay for
The people who look
Viewers are unlimited and free on every plan, including the free one. A board, a client list or a whole company: the number does not change the bill.
Plans differ in how many builders and published dashboards a workspace gets. Drafts, viewers and every sharing mode are unlimited and free on all four. Full pricing.
Marketing dashboard questions
What makes a marketing dashboard useful rather than decorative?
Which marketing sources can Mammoth read?
We report to clients monthly. Does this work for an agency?
How often should it refresh?
Last reviewed against the template catalogue.
Build the marketing dashboard you actually need.
Connect a source, prepare it once, and publish. Everyone who needs to see it can, at no per-viewer cost.
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