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Marketing dashboard: what to include, examples and how to build one (2026)

A marketing dashboard puts the numbers that decide your next move in one view: what you spent, what it returned, and where it's changing. Most dashboards fail because they show everything instead of answering a question.

This guide covers who a dashboard is for, the metrics to include at each level, six examples you can copy, how to build one, and the mistakes that turn dashboards into wallpaper.

The short version

  • →Build one dashboard per decision, not one for everything.
  • →Lead with business outcomes — revenue, blended ROAS, new customers, CAC — then channel, campaign and creative detail underneath.
  • →A dashboard that shows what changed and why beats one that only shows totals.

1. What a marketing dashboard is, and who it's for

A marketing dashboard is a single view of the metrics a team uses to judge performance and decide what to do next. It pulls data from ad platforms, your store or CRM, analytics and email, so nobody has to open five tabs to answer one question.

Who reads it changes what belongs on it:

AudienceQuestion it answersLooks at
Leadership / CMOIs marketing working for the business?Revenue, blended ROAS, new customers, CAC, spend vs plan
Channel managerWhich channels and campaigns need attention?Spend, ROAS or CPA, conversions by channel and campaign
Media buyerWhat do I change today?Daily movements, pacing, wasted spend, fatiguing ads
Creative teamWhich ads should we make more of?Performance by creative, hook and format; fatigue

Trying to serve all four on one screen is how dashboards end up with forty charts and no answer.

2. Metrics to include, level by level

Work top-down. Each level should explain the one above it.

LevelCore metricsWhy
BusinessRevenue, new customers, blended ROAS (MER), CAC, spend vs planWhether marketing is paying for itself
ChannelSpend, revenue, ROAS or CPA, conversions — per platformWhere to move budget
CampaignSpend, CPA or ROAS, conversion rate, impression share (search)What to scale, fix or pause
CreativeSpend, CTR, conversion rate, frequency, hook rate (video)What to make more of, and what's wearing out
FunnelSessions, add-to-cart rate, checkout rate, repeat purchase rateWhether the problem is the ads or the site

Always show each metric against a comparison — last week, last month, or target. A number with nothing to compare it to doesn't tell anyone what to do.

3. Six marketing dashboard examples

Each one answers a single question. Build the ones your team actually asks.

1. The daily leadership brief

Yesterday's spend, revenue, blended ROAS and new customers across every channel, against plan, with the two or three movements that matter called out in words.

2. Paid media performance

Spend, ROAS or CPA and conversions by platform and campaign, week over week, sorted by spend so the biggest problems sit at the top.

3. Creative fatigue tracker

Every active ad's frequency, CTR and conversion rate over time, flagging ads where frequency rises while CTR falls.

Creative fatigue detection workflow →

4. Wasted spend monitor

Search terms, placements and ad sets spending without converting, with the amount that could be recovered.

Google Ads wasted spend dashboard →

5. Ecommerce dashboard

Store revenue, orders, average order value and new versus returning customers next to ad spend by channel — so you judge ads on what the store took in, not only what the platforms claim.

6. Agency morning view

Every client account on one screen with spend vs budget, efficiency vs target and anything that moved overnight, so the team knows where to look first.

4. Building an ecommerce dashboard

Ecommerce dashboards need one thing generic marketing dashboards often skip: store revenue next to ad spend. Meta and Google each report the revenue they think they drove, and added together that usually exceeds what your store recorded. Put both on the dashboard.

  • Top line: store revenue, orders, AOV, new vs returning customers, total ad spend, blended ROAS.
  • By channel: spend and platform-reported revenue per channel, so you can see each platform's claim against the total.
  • By product: which products ads are actually selling, and their margin.
  • Health checks: conversion rate and add-to-cart rate, so a site problem doesn't get blamed on the ads.

Use the ROAS calculator to set the break-even and target ROAS lines worth drawing on the chart.

5. How to build a marketing dashboard

ApproachGood forWatch out for
SpreadsheetOne or two channels, early stageManual exports go stale the moment someone forgets
Looker Studio or a BI toolCustom layouts, many data sourcesConnectors, upkeep and someone who owns it
A reporting toolAgencies sending client dashboardsShows what happened, rarely why
An AI analystAsking questions in plain English and getting the view you needCheck the numbers before you act on them

Whichever you pick, start from the question, sketch the five numbers that answer it, and only then connect data. Dashboards built the other way round collect charts.

6. Common dashboard mistakes

  • Too many metrics. If a number wouldn't change a decision, it doesn't belong on the dashboard.
  • No comparison. Every number needs a baseline — prior period or target.
  • Platform numbers only. Without store or CRM data, you're grading the platforms on their own homework.
  • What, never why. A dashboard that shows ROAS fell 18% leaves the hard part — the cause — to someone else.
  • Built once, never used. Dashboards nobody opens are a sign they answer a question nobody asked.

Build these dashboards in Claude with GoMarble

Connect GoMarble's MCP to Claude and you can build each of these dashboards by asking for them. These free, copy-paste workflows do exactly that on your live data:

Browse every GoMarble workflow for Claude → Each one is a free prompt you paste into Claude once GoMarble's MCP is connected.

7. How GoMarble helps

GoMarble builds dashboards around the job rather than one big screen, and lets you ask questions of the dashboard you're looking at.

What you needHow GoMarble does it
A view for each jobBuild focused views — a creative fatigue tracker, a wasted spend monitor, an agency morning view — instead of one wall of charts
Meta and Google togetherOne operating view across your ad platforms, with Shopify, GA4 and Klaviyo for context
Ask the dashboardAsk questions about the view you're looking at and get the answer from live data
The why, not just the whatAgents trace a change to the campaigns, audiences or creatives responsible
Delivered where you workDaily briefs and alerts in Slack or email

FAQ

What should a marketing dashboard include?
The metrics that answer one question for one audience. For leadership that's revenue, blended ROAS, new customers, CAC and spend against plan; for channel managers, spend and efficiency by channel and campaign; for creative teams, performance by ad and fatigue signals.
What's the difference between a marketing dashboard and a report?
A dashboard is a live view you check when you need it. A report is a point-in-time summary sent on a schedule, usually with commentary on what changed and what to do next.
What is an ecommerce dashboard?
A dashboard that puts store revenue, orders, AOV and customer metrics next to ad spend by channel, so you can judge advertising on what the store actually took in rather than what each platform reports.
How many metrics should a dashboard have?
As few as answer the question — often five to eight at the top level. Detail can sit underneath for people who need to drill in.
What's the best tool for a marketing dashboard?
It depends on who builds and maintains it. Spreadsheets for small setups, Looker Studio or BI tools for custom layouts, reporting tools for agencies, and AI analysts if you'd rather ask questions than build charts.
Can AI build a marketing dashboard?
Yes. With your ad accounts connected through an MCP connector, an AI assistant like Claude can pull the data and build a dashboard from a prompt — see the workflows above.

Ask for the dashboard instead of building it.

Connect Meta, Google and your store to GoMarble and get the view you need for each job — then keep asking it questions.