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Marketing

Marketing dashboards built on trusted data

A marketing dashboard built on governed data that links campaigns, pipeline and revenue, with views for the CMO, the CFO and channel owners.

See how we work
Three lead counts become one trusted numberAd platforms, GA4 and the CRM report 1,240, 980 and 712 leads; reconciled to one definition, the dashboard shows 712 qualified leads.Three systems, three lead countsAd platforms1,240leads, SeptemberGA4980leads, SeptemberCRM712leads, SeptemberReconciled to one definitionMarketing dashboard712Qualified leads, September+8% vs AugustPaid 41%Organic 33%Events 26%Source mixSame number in the CRM, finance and the board packDemo dataThree lead counts become one trusted numberAd platforms, GA4 and the CRM report 1,240, 980 and 712 leads; reconciled to one definition, the dashboard shows 712 qualified leads.Three systems, three lead countsAd platforms1,240GA4980CRM712Leads, SeptemberReconciled to one definitionMarketing dashboard712Qualified leads,September+8% vs AugustSource mixPaid 41%Organic 33%Events 26%Same number in the CRM, finance and the boardpackDemo data

Marketing dashboard projects often fail on the data, not the design. Ad platforms, GA4 and the CRM disagree, metric definitions differ by team and nobody trusts the totals.

We fix tracking and CRM data first, agree metric definitions with marketing and finance, then build dashboards on Power BI, HubSpot or GA4 that your team owns and uses every week.

What it is

A good marketing analytics dashboard answers one question for one role

Definition

A marketing dashboard is a single view of the metrics that show whether marketing is producing pipeline and revenue at an acceptable cost. A good marketing analytics dashboard does three things.

marketing analytics

  1. It answers a specific question for a specific role, such as where to move budget next quarter or which campaigns to pause this week, based on campaign performance rather than clicks.

  2. It uses metrics with written definitions, so the same number means the same thing in every meeting and every tool.

  3. And it connects activity to outcomes, joining ad, web and CRM data at the opportunity level, so spend can be compared with revenue rather than clicks.

  4. Dashboards are one part of a wider marketing analytics practice.

  5. It should also be simple enough that each user can read it in a few minutes.

A good dashboard answers one question for one roleA CMO budget view leads with one question, shows three KPIs with written definitions and ties spend to pipeline by channel.A good dashboard answers one question for one roleAnatomy of a CMO budget view; the numbered callouts match the three tests in the copyDemo dataWhere should Q4 budget move?CMOSourced pipeline$3.1MiCost per opp.$2.4KiCAC payback11 moiPipeline per $1 by channelDemo dataSearch$9.6Webinars$7.9Events$4.8Social$3.01One question, one roleThe title is the decision2Written definitionsEach metric links to its rule3Activity tied to revenueSpend joined to opportunitiesA good dashboard answers one question for one roleA CMO budget view leads with one question, shows three KPIs with written definitions and ties spend to pipeline by channel.A good dashboard answers onequestion for one roleAnatomy of a CMO budget viewDemo dataWhere should Q4 budget move?1Pipeline$3.1MCost per opp.$2.4KCAC payback11 mo2Written definition behind each metricPipeline per $1 by channelDemo dataSearch$9.6Webinars$7.9Events$4.8Social$3.03Spend joined to opportunities
Challenges we solve

Marketing dashboards go unused when the data fails, not the design

A dashboard nobody trusts is opened once and then ignored. The causes are predictable.

An untrusted dashboard loses most of its viewers in two monthsWeekly viewers of a demo dashboard fall from 42 to 6 in ten weeks, with drops after lead counts disagree with the CRM and after a connector breaks unnoticed.An untrusted dashboard loses most of its viewers in two monthsWeekly unique viewers after launch, one marketing dashboardDemo data010203040W1W2W3W4W5W6W7W8W9W10Lead count disagreeswith the CRMConnector breaks,no owner notices6 viewers, -86%An untrusted dashboard loses most of its viewers in two monthsWeekly viewers of a demo dashboard fall from 42 to 6 in ten weeks, with drops after lead counts disagree with the CRM and after a connector breaks unnoticed.An untrusted dashboard losesmost viewers in two monthsWeekly unique viewers after launchDemo data02040W1W5W10126 viewers, -86%1 Lead count disagrees with the CRM2 Connector breaks, no owner notices

The numbers do not match. Ad platforms, GA4 and the CRM report different lead counts, and nobody knows which one is right, so every meeting starts with a debate.

There are too many charts. A page of twenty charts answers no question, so people return to spreadsheets.

Nobody owns it. Without an owner and a review cadence, broken connectors and stale data go unnoticed until trust is gone.

It stops at leads. A dashboard that never reaches pipeline and revenue cannot answer the CFO.

Each of these is a data and governance problem, not a design problem, which is why we fix them first.

KPIs we track

Each role needs different marketing KPI dashboard metrics

A marketing KPI dashboard should show each role only the metrics it acts on. These are common views.

Each role sees a few metrics; pipeline ties them togetherThe CMO, CFO, CEO, channel managers, marketing ops and sales leaders each see two or three KPIs, and sourced pipeline appears on several views with the same CRM total.Each role sees a few metrics; pipeline ties them togetherWhich KPIs appear on each role viewSourcedpipelineCostper opp.CACRevenueby channelWin rateCostper leadDataqualityLead-to-opp.CMOCFOCEOChannel managersMarketing opsSales leadersSourced pipeline (shaded) reconciles to the same CRM total on every view.Each role sees a few metrics; pipeline ties them togetherThe CMO, CFO, CEO, channel managers, marketing ops and sales leaders each see two or three KPIs, and sourced pipeline appears on several views with the same CRM total.Each role sees a few metrics;pipeline ties them togetherKPIs on each role viewCMOSourced pipelineCost per opp.CACCFOCACRevenue by channelCEOSourced pipelineRevenue by channelWin rateChannel managersCost per leadLead-to-opp.Marketing opsData qualitySales leadersSourced pipelineLead-to-opp.Sourced pipeline (gold) reconciles to thesame CRM total on every view.

CMO: know where to shift budget

Sourced and influenced pipeline, coverage against target, cost per opportunity and blended CAC.

CFO: settle the budget debate

Spend against closed-won revenue, CAC payback and revenue by channel, on approved attribution rules.

CEO: see growth on one page

New-customer revenue, pipeline trend and win rate by segment, with period comparisons.

Channel managers: optimize every week

Demo

Spend, cost per lead, conversion and opportunity value by campaign, across search, social media and email.

Marketing ops: keep every view trustworthy

Demo

Tracking coverage, missing source data, duplicate rate and sync errors.

Sales leaders: trust marketing pipeline

Demo

Lead-to-opportunity conversion, opportunity acceptance rate and pipeline by source, reconciled to the CRM.

The common mistake is one marketing dashboard for everyone. The CMO, the CFO and a channel manager make different decisions, so they need different numbers.

The insight is to start from the decision, not the data. We ask each role what it decides each week or month, then show only the KPIs that inform that choice.

Every view still draws on the same governed model. That way the CFO's revenue figure and the CMO's pipeline figure reconcile, even though each sees a different page. Each card below names the role and the decision it makes, then the metrics that support that decision. Marketing operations and sales leaders close the list because they keep every other view accurate and trusted. The result is fewer meetings spent arguing about numbers and more time spent deciding what to change next. Each role sees its own view, and every view reconciles to the same CRM totals.

Know where to shift budget

Sourced and influenced pipeline, coverage against target, cost per opportunity and blended CAC.

The CMO decides where next quarter's budget goes.

  • Sourced and influenced pipeline
  • Coverage against target
  • Cost per opportunity
  • Blended CAC
Benefits

A trusted marketing dashboard turns budget talks into data decisions

A well-built marketing dashboard saves time, but the larger benefit is better decisions.

One shared dashboard ends the spreadsheet debateA budget meeting built on five spreadsheets with five different totals becomes a short decision on one shared dashboard.Demo dataBefore$353K$339K$368K$346K$331K5 spreadsheets, 5 totals, 40 minutes of debateAfterBudget review$346KQ3 spend, agreed by marketing and financeSearchWebinarsSocialEvents1 dashboard, 10 minutes, a reallocation decisionOne shared dashboard ends the spreadsheet debateA budget meeting built on five spreadsheets with five different totals becomes a short decision on one shared dashboard.Demo dataBefore$353K$339K$368K$346K$331K5 spreadsheets, 5 totals, 40 minutes of debateAfterBudget reviewBudget review$346KQ3 spend, agreed by marketing and financeSearchWebinarsSocialEvents1 dashboard, 10 minutes, a reallocationdecision

Budget moves on evidence, and marketing ROI is measured on revenue, not lead generation volume alone. When spend, pipeline and revenue sit in one view, reallocating budget becomes a data question, not a negotiation.

Marketing, sales and finance share one set of numbers. Pipeline reviews get shorter, and marketing gains credibility with the CFO because the figures reconcile to the CRM and the books.

Problems surface early. Drops in conversion or spikes in cost show up within days, not at quarter end.

Reporting effort drops. Automated refreshes replace weekly spreadsheet assembly, so analysts can analyze rather than compile.

Over time, the dashboard also builds a reliable history of spend and outcomes, which makes annual planning faster and gives leadership a credible baseline for every new budget request.

Related resources

More marketing dashboard examples show layouts that work

See more marketing dashboard examples, with layouts and KPIs for each team, and our data-driven marketing guides on attribution and budget planning.

Sample dashboards

Four marketing dashboard examples, each built to answer one question

Each digital marketing dashboard below is built on demo data, not client data. Together they show the structure and KPIs we would build for you.

Marketing dashboard examples on one data model

Demo data
Pipeline vs. target94%▼ -6 pts vs. target
Revenue influenced$5.6M▲ +9% vs. last quarter
Blended CAC$13,900▼ -5% vs. last quarter
CAC payback14 mo▼ -1 month vs. last quarter

Pipeline fell behind target in September

Sourced pipeline vs. target, $K, last six months

$1,200K$1,400K$1,600K$1,800KMayJunJulAugSepOctPipelineTarget$1,240K in Sep: Gap of $260K against target$1,200K$1,400K$1,600K$1,800KMayJulSep$1,240K in Sep: Gap of $260K against target
PipelineTarget

So what: The gap opened in one month; check the channel view before changing the plan.

MetricThis quarterTargetStatus
Sourced pipeline$4.11M$4.35MBehind
Revenue influenced$5.6M$5.2MAhead
Blended CAC$13,900$15,000Ahead
CAC payback14 mo18 monthsAhead

The attribution model changes which channel looks best

Share of pipeline credit by channel, Q3 2026

Demo data
Organic34%Paid search27%Paid social18%Webinars12%Events9%12% in Webinars: Credit ranges from 12% to 29%Organic34%Paid search27%Paid social18%Webinars12%Events9%12% in Webinars: Credit ranges from 12% to29%

So what: Agree one attribution model with finance before using the dashboard to move budget.

View 1

Executive: spot the issues that need attention

Pipeline, revenue influenced, CAC and payback against target, with trend lines.

View 2

Funnel: find where the funnel leaks

Conversion and velocity per stage, with drop-off by segment and source.

View 3

Channel: move budget between campaigns weekly

Spend, leads, opportunities and revenue by channel, with cost per stage.

View 4

Attribution: see how much the model changes the story

First-touch, last-touch and multi-touch credit compared side by side.

Each example answers one question. That is the difference between a dashboard people use and one they ignore.

The executive view answers whether marketing is on track. The funnel view answers where deals stall. The channel view answers where to move budget this week. The attribution view answers how much credit each touchpoint deserves.

All four run on the same data model, so the totals match across views and match the CRM. Each example is built on demo data. In an engagement, we adapt the layout to your funnel stages, channels and attribution rules, and keep the insight-first titles so readers see the point at a glance. Every view links to the metric dictionary, so any reader can check how a number is calculated. Each one reconciles to your CRM before release, so leaders can trust the totals.

marketing attribution
How we work

Five steps take you from conflicting reports to a dashboard people use

Dashboard projects often jump straight to design, and that is often where they fail.

The five steps at a glance

Select a stage, use Next or the arrow keys

Discovery. Build for real decisions. Advisory first: we interview users, list the decisions they make and review current tracking and CRM data.

Step 1 of 5

We do it in the opposite order. First we advise: we learn what decisions people make. Then we agree definitions. Then we fix the data. Only then, once your team is ready to adopt it, do we build.

Each step ends with something you approve, so the finished marketing dashboard matches what users asked for and the numbers match the source systems. The process works the same whether you need one dashboard or a full reporting suite. Only the number of users and data sources changes. A typical first release covers the executive view and one channel view, so leaders see value early, and further views follow on the same model. Each step below names the outcome first, then the work behind it. Users see a working draft early and shape the final layout before release. Your team signs off each step, and nothing moves forward until the outputs are approved by the people who will use them.

data modernization projectsanalytics as a service
Platforms we use

We build on the tools you already use

We build on Power BI, HubSpot reporting and GA4, with data from Salesforce, HubSpot and the main ad platforms, and GA4 for web analytics. Power BI suits multi-source reporting shared with finance; HubSpot reporting suits teams whose data lives mainly in HubSpot. We are tool-agnostic: if you already use another BI tool, we will assess whether it fits before recommending any change.

Where the data lives decides the platformWhere the data lives decides the platform: Power BI for many sources shared with finance, HubSpot reporting for HubSpot-centered teams, GA4 for web behavior.Where doesthe data live?Many sources, shared with financePower BIMulti-source modelMostly in HubSpotHubSpot reportingNative CRM reportsQuestions about web behaviorGA4Sessions, events, pathsWhere the data lives decides the platformWhere the data lives decides the platform: Power BI for many sources shared with finance, HubSpot reporting for HubSpot-centered teams, GA4 for web behavior.Where does the data live?Many sources, shared with financePower BIMulti-source modelMostly in HubSpotHubSpot reportingNative CRM reportsQuestions about web behaviorGA4Sessions, events, paths
Google Analytics 4GA4, tracking and attribution set up right

Every build uses a documented data model, so it can move to another tool later if needed.

What you get

You own the dashboards, the definitions and the pipelines

You own everything we build. Nothing depends on our accounts, licenses or people. Documentation is written in plain English for your team. Nothing is locked away.

You own the dashboards, definitions, pipelines and guideThe handover includes role dashboards, a signed-off metric dictionary, monitored pipelines from ad, web and CRM data, and a user guide.Monitored pipelinesAdsGA4CRMRole dashboardsExecutive viewMetric dictionaryMQLSourced pipelineCACUser guideDemo dataYou own the dashboards, definitions, pipelines and guideThe handover includes role dashboards, a signed-off metric dictionary, monitored pipelines from ad, web and CRM data, and a user guide.Monitored pipelinesAdsGA4CRMRole dashboardsExecutive viewMetric dictionaryMQLSourced pipelineCACUser guideDemo data

  • Views each role acts on

    Executive, funnel, channel and attribution dashboards on a governed model.

  • One meaning per metric

    Metric dictionary: every KPI defined, sourced and signed off.

  • Data that refreshes itself

    Automated, monitored pipelines from ad, web and CRM data.

  • A team that can maintain it

    Training sessions and a written guide for maintainers.

Get a marketing dashboard your team will actually use

Share your current reports and the decisions your dashboard should support. In a first consultation, we will outline the role-based views, the KPIs and the data model your marketing dashboard needs, and what it takes to build it.

There is no obligation, and we will tell you plainly if dashboard templates would serve you better.

See how we work
Fewer charts, one question, a dashboard people useA page of twenty charts gives no answer; three KPIs built around one question get used.20 charts, no answer3 KPIs, one questionFewer charts, one question, a dashboard people useA page of twenty charts gives no answer; three KPIs built around one question get used.20 charts, no answer3 KPIs, one question
Frequently asked questions

Marketing dashboard: questions buyers ask before they commission one

These are questions marketing leaders often ask before commissioning a marketing dashboard. The short answer to most of them is the same: start from the decision, fix the data, then build.

If your question is not covered here, bring it to a first working session. The answers below apply to B2B teams building a marketing dashboard on Power BI, HubSpot or GA4. Each one starts with the decision, because that sets which data and KPIs the dashboard needs. Each answer is short and practical, so you can share it with finance, sales and leadership before a first conversation about scope. Where a question needs more depth, we link to a guide or to the relevant service page, so you can read further before deciding on scope, budget or timing.

It should include only the KPIs its users act on, linked to pipeline and revenue. For a B2B team, that typically means pipeline by source, conversion by funnel stage, cost per opportunity, CAC and payback, plus a data health view. Each metric needs a written definition.

Track marketing-sourced and influenced pipeline, lead-to-opportunity conversion, cost per opportunity, CAC, CAC payback and revenue by channel. Channel owners also need campaign-level cost and conversion. We set the list by role, so each person sees only the metrics they can change.

The best tool is usually one you already use. Power BI suits teams that need to combine many sources and share with finance. HubSpot reporting suits teams whose data lives mainly in HubSpot. We are tool-agnostic and recommend based on your data and users.

A dashboard is a live view that refreshes automatically, close to real time where the sources allow, and is used to monitor and decide. A report is a point-in-time document that explains results and context. Teams often need both: the dashboard for weekly decisions, the report for monthly and quarterly reviews.

Yes. A marketing agency dashboard can report results to each client on consistent definitions, combining ad platform, GA4 and client CRM data. We build reusable models so each new client dashboard is faster to set up and easier to maintain.

Cost depends on the number of data sources, the state of your tracking and CRM data, and how many role-based views you need. We scope after a short discovery and quote a fixed set of deliverables, so you know the budget before the build starts.

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