Marketing KPI Dashboard: Which Metrics to Track and How to Build One

A marketing KPI dashboard is a single view of the few numbers that show whether your marketing is working, tied to business results such as enquiries, sales and profit. A good one answers three questions: are we on target, what changed and what should we do next. A bad one is a wall of charts that nobody reads. Start with decisions and goals, choose a small set of metrics, agree the definitions and review on a rhythm.

Most marketing reports show activity: impressions, followers, clicks, posts. They do not show whether the business benefited. Part of the problem is tool overload, where every platform has its own dashboard with its own definitions. This guide shows how to choose KPIs, organise them in layers, define each precisely, build a simple dashboard in tools many teams already use, set targets, review on a rhythm and avoid vanity metrics. Google Analytics added Dashboards in September 2026, and Search Console, Business Profile and ad platforms provide their own data, so you can build a useful view without paying for new software. For the data underneath, see our GA4 guide and attribution models guide.

KPIs, metrics and vanity metrics

Term	Meaning	Example
Metric	Any number you can measure	Page views, followers, email opens
KPI	A metric tied to a goal and used to judge progress, with a target and an owner	Qualified enquiries per month, cost per customer
Vanity metric	A number that looks good but does not link to business results	Total followers, total impressions, total page views

A test: if this number doubled, would you know what to do differently, and would the business be better off? If not, it is a metric, not a KPI.

Step 1: Start with goals and decisions

1. Write the business goal. For example, increase profitable online orders by 20 percent this year.
2. Break it into marketing outcomes. Orders, revenue, margin, new versus returning customers.
3. List the decisions the dashboard should support. Which channels get more budget? Which pages need work? Is lead quality falling? Which products to promote?
4. Choose metrics that answer those decisions.

Step 2: Organise KPIs in layers

A layered view prevents mixing results with diagnostics.

Layer	Purpose	Example KPIs	Audience
1. Business outcomes	Is marketing contributing to the business?	Revenue and gross margin from marketing-sourced customers, new customers, customer acquisition cost, payback period, return on marketing spend	Leadership
2. Funnel performance	Where are we gaining or losing people?	Qualified leads, lead-to-customer rate, conversion rate by stage, average order value, cost per lead	Marketing and sales leaders
3. Channel performance	How is each channel doing against its job?	Organic clicks and conversions, paid cost per acquisition, email revenue per recipient, social engagement and referral visits	Channel owners
4. Health and diagnostics	Is anything broken or drifting?	Indexed pages, Core Web Vitals, tracking errors, spam complaint rate, review rating, site speed	Specialists

Show layer 1 and 2 on the main page. Put layers 3 and 4 behind them for those who need detail.

A starter KPI set by business type

Business	Core KPIs
Lead generation or service business	Qualified enquiries, cost per qualified enquiry, enquiry-to-customer rate, revenue per customer, source mix, response time
Ecommerce	Revenue, orders, conversion rate, average order value, new versus returning customers, return rate, blended return on ad spend, customer acquisition cost
Local business	Calls, direction requests, bookings, review count and rating, local search visibility, new customers by source
B2B with long sales cycles	Marketing-qualified leads, sales-accepted leads, opportunities and pipeline value created, win rate, sales cycle length, cost per opportunity
Content-led or publisher	Engaged sessions, returning visitors, newsletter subscribers, conversion to subscribers or customers, revenue per thousand sessions

Pick five to eight headline KPIs, not thirty.

Step 3: Define each KPI precisely

Ambiguity creates arguments. For each KPI write a definition card.

Field	Example
Name	Qualified enquiry
Definition	A form submission or call lasting over 60 seconds from a business customer in our service area, confirmed by sales as a genuine prospect
Formula	Count of enquiries marked "qualified" in the CRM in the period
Source of data	CRM, with source from GA4 and call tracking
Owner	Head of marketing
Update frequency	Weekly, final at month end
Target	40 per month by December
Known limits	Sales feedback can lag by a week. Offline referrals are not captured

Share the cards with everyone who uses the dashboard. Change a definition rarely, and note any change.

Step 4: Choose data sources and connect them

Source	What it provides
Google Analytics 4	Traffic, behaviour, key events and revenue. Now includes Dashboards
Google Search Console	Search clicks, impressions, indexing and the Generative AI performance report for AI Overviews and AI Mode impressions
Google Business Profile	Views, calls, direction requests and website clicks for local businesses
Ad platforms	Spend, clicks and platform-reported conversions
Email platform	Sends, clicks, revenue and list health
CRM and sales system	Leads, stages, revenue and source. The key to judging quality
Ecommerce platform and finance	Orders, revenue, margin, returns and costs. The source of truth for results

Use the CRM or ecommerce platform and finance data as the source of truth for results, and treat ad platform conversions as indicators. Reconcile them monthly.

Step 5: Build a simple dashboard

Start simple. Many teams get further with a spreadsheet or a free reporting tool than with expensive software.

• Tools. Options include the Dashboards feature inside GA4, Looker Studio, a spreadsheet with data connectors or your CRM's reporting. Choose by who will maintain it.
• Layout. One page, headline KPIs at the top with current value, target and change from last period, then trends, then breakdowns by channel.
• Show context. Compare against target, last period and last year, since many businesses are seasonal.
• Use clear charts. Line charts for trends over time, bar charts for comparing categories and tables for detail. Avoid decoration, 3D effects and too many colours.
• Add notes. A short text box for events that explain changes: a campaign launch, a site change, a stock-out.
• Automate refreshes where you can, and show the last update date.
• Control access to sensitive financial or customer data.

A one-page dashboard layout example

Section	Contents
Headline row	Revenue or qualified enquiries, cost per customer or per enquiry, conversion rate, return on marketing spend. Each with target and change
Trend row	Line charts over 12 months for the headline KPIs
Channel table	For each channel: spend, visits, conversions, cost per conversion, revenue where known
Funnel	Visits, key events, leads, qualified leads, customers by month
Health strip	Indexed pages, Core Web Vitals pass rate, tracking status, review rating
Notes	What changed this month and why we think so

Step 6: Set targets and thresholds

• Base targets on your own history and the goal, not on generic benchmarks, which vary widely by industry and market.
• Set a target and a minimum acceptable level for each headline KPI.
• Define alert thresholds, such as spend over budget by 15 percent or conversion falling 25 percent against last week, to prompt investigation.
• Review targets quarterly. Update them for seasonality and strategy changes.

Step 7: Review on a rhythm

Frequency	Focus	Questions
Weekly (15 minutes)	Spend, tracking and sudden changes	Is anything broken or off budget?
Monthly (one hour)	Results versus targets, channel performance	What worked, what did not, why do we think so and what will we do next month?
Quarterly	Strategy, budget allocation, KPI set and definitions	Are we measuring the right things? Where should money move?

A dashboard only creates value when it leads to decisions. End every review with a short list of actions, owners and dates.

Reporting honestly

• State the data sources and limits, including the effect of consent on analytics and the imperfections of attribution.
• Do not report platform-claimed conversions as facts. Reconcile with real sales.
• Show uncertainty and ranges where data is thin.
• Include what did not work.
• Keep the same definitions over time, or mark breaks clearly.
• Do not cherry-pick time periods.

Including AI search visibility

Search is changing, so add a small AI visibility section. Use Search Console's Generative AI performance report for impressions in AI Overviews and AI Mode by page, which does not show clicks, AI referral visits in GA4 such as chatgpt.com sessions, and a monthly manual panel of 20 to 40 key questions, noting whether you are cited. Keep this separate from your core KPIs until you understand what it tells you. See our guides to zero-click searches and getting cited by AI search engines.

Common dashboard mistakes

• Too many metrics, so nothing stands out.
• Showing vanity metrics without business results.
• No definitions, so people argue over what numbers mean.
• No targets, so there is nothing to compare against.
• Trusting platform conversions over real sales.
• Broken tracking nobody notices.
• A dashboard nobody owns or reviews.
• Reporting without actions.
• Changing metrics often, so trends are lost.

A worked example: a one-page dashboard for a local service business

This is an invented example. A Stockport garden-room installer wants to know whether marketing is working. The owner and a part-time marketer build a one-page dashboard in a free reporting tool, using data from analytics, Search Console, Business Profile and a simple CRM spreadsheet.

Goals

Win 36 jobs a year at an average job value of £18,000, with a marketing cost below 6 percent of revenue.

Headline KPIs

KPI	Definition	Source	Target
Qualified enquiries	Enquiries from homeowners in the service area with a project over £10,000, confirmed by the owner	CRM sheet	12 per month
Site visits booked	Enquiries that book a survey	CRM sheet	6 per month
Jobs won	Signed contracts	CRM sheet and invoices	3 per month
Cost per qualified enquiry	Marketing spend and agreed share of time, divided by qualified enquiries	Finance, CRM	Below £180
Return on marketing spend	Revenue from won jobs divided by marketing cost, per quarter	Finance, CRM	Above 15 to 1

Channel and diagnostic panels

• Search Console: clicks and impressions for service pages and for local queries.
• Analytics: sessions, engaged sessions and form submissions by landing page and source.
• Business Profile: calls, direction requests and website clicks.
• Reviews: number added in the month, average rating and reply rate.
• Source question: counts of "how did you hear about us?" answers.

Rhythm

Every Monday the marketer checks for broken tracking and budget issues. Each month the owner and marketer spend an hour reviewing the one-page report, writing three actions for the next month. Each quarter, they review whether the KPIs are still the right ones.

Common KPI formulas

KPI	Formula	Notes
Conversion rate	Conversions divided by sessions or visitors	Segment by source and device
Cost per lead	Marketing cost divided by leads	Better as cost per qualified lead
Customer acquisition cost	Total sales and marketing cost divided by new customers	Include people and tools, not just media
Return on ad spend	Revenue from ads divided by ad spend	Compare against break-even, which is 1 divided by margin
Marketing efficiency ratio	Total revenue divided by total marketing spend	Blended, independent of attribution
Customer lifetime value	Average margin per customer over their lifetime	Based on observed history, not hope
Payback period	Months for a customer's margin to cover acquisition cost	Controls cash risk
Email revenue per recipient	Revenue attributed to an email divided by recipients	More useful than open rate
Win rate	Deals won divided by opportunities	Track by source

Dashboard governance

• One owner who is responsible for accuracy and updates.
• A change log for definitions, sources and filters.
• Access control. Share the dashboard with those who need it and limit editing rights.
• A data quality check each month: do totals reconcile with finance and the CRM?
• A retirement rule. Remove metrics nobody uses for two quarters.

Presenting the dashboard in a meeting

1. Start with the headline row: where are we against target?
2. Say what changed, with the main reasons, and note what you are unsure about.
3. Highlight one thing that went well and one that did not, and what you learned.
4. Agree three actions, with owners and dates.
5. Note any measurement problems found, and who will fix them.

Keep the meeting short. If people spend the time arguing about numbers, your definitions need work.

KPI pitfalls and how to avoid them

Pitfall	Example	Fix
Goodhart's trap	Targeting "number of leads" leads to low-quality leads	Pair quantity with a quality measure, such as qualified leads or cost per customer
Averages that hide differences	A site-wide conversion rate hides a failing mobile checkout	Segment by device, source and new versus returning
Short windows	Judging a content programme after two weeks	Use time frames that match how the channel works, and show trends
Ignoring seasonality	Comparing December with February	Compare with the same period last year as well as last period
Metric drift	The definition of "lead" changes quietly	Keep definition cards and a change log
Vanity framing	Reporting total followers as the headline	Lead with business outcomes
Data silos	Marketing and sales count different things	Agree shared definitions and one source of truth

A starter checklist before you share the dashboard

• Every headline KPI has a definition card, an owner and a target.
• Numbers reconcile with finance or the CRM for the last two months.
• Tracking has been tested this month, including forms, calls and purchases.
• Consent and filtering settings are noted, with any known limits on the data.
• The page shows the last data refresh date.
• Colours and charts are readable on a phone and for colour-blind users.
• There is a notes box for explanations.
• A review meeting is in the calendar, with a template for actions.

KPIs for SEO specifically

Layer	KPI	Notes
Outcome	Organic enquiries or revenue	From analytics and CRM, with source recorded
Funnel	Organic conversion rate by landing page group	Segment by intent: informational versus commercial pages
Visibility	Clicks and impressions for non-brand queries	From Search Console. Separate brand and non-brand
Visibility in AI features	Impressions in AI Overviews and AI Mode by page	From the Generative AI performance report. Impressions only
Health	Indexed pages versus expected, Core Web Vitals pass rate	Search Console reports
Authority	New relevant referring domains and brand mentions	Link tools and manual checks. Quality over count

KPIs for paid media

Layer	KPI	Notes
Outcome	Profit or revenue from paid sources, new customers acquired	Reconcile with finance, not only platform reports
Efficiency	Cost per acquisition and return on ad spend against break-even	Break-even ROAS is 1 divided by margin
Quality	Qualified lead rate, return rate, repeat purchase	Needs CRM or order data
Delivery	Impression share, frequency, click-through rate	Diagnostics, not goals
Incrementality	Results of holdout or lift tests	Run a few a year

Common questions about dashboards

Question	Answer
Which tool is best?	The one your team will maintain. Start with GA4's dashboards, Looker Studio or a spreadsheet, and upgrade only when you outgrow it
How real-time should it be?	Weekly for operational checks and monthly for decisions is enough for most businesses. Real-time dashboards encourage overreaction
What about benchmarks?	Industry benchmarks vary widely and mislead. Use your own history and targets
Should I include costs?	Yes. Include media spend, tools, agency fees and an agreed share of staff time, so return is real
How do I handle data gaps?	Note them on the dashboard. Do not hide missing data or fill it with guesses
Who should see it?	Everyone who makes decisions based on it, with sensitive financial details restricted

A reporting calendar

When	Report	Audience
Weekly, Monday	Spend, tracking checks and big movements	Marketing team
Monthly, first week	One-page dashboard and notes, with three actions	Marketing, sales and leadership
Quarterly	Strategy review: KPI set, channel mix, tests and budget	Leadership
Annually	Full review of goals, definitions and tools	Leadership and marketing

A story of a dashboard that changed a decision

This is an invented composite. A regional chain of three physical therapy clinics had been spending a growing share of its marketing budget on social media advertising, because the platform reports showed low costs per lead. The owner asked the practice manager to build a simple dashboard in a spreadsheet, combining data from the booking system, the Business Profile, analytics and the ad accounts.

The practice manager started by defining what mattered: first appointments attended, not leads. She added a column to the booking system recording how each new patient had heard of the clinic, using a short question at booking. She pulled monthly numbers for ad spend, leads, appointments booked, appointments attended and revenue from first courses of treatment.

The picture that emerged was surprising. The social ads produced many leads at a low cost, but only a small share of those leads booked, and fewer attended. Cost per attended first appointment was far higher than the platform's cost per lead suggested. By contrast, the Business Profile and organic search produced fewer leads, but a high share attended, and patients who came from referrals by doctors and former patients had the highest value, because they were more likely to complete a course of treatment.

The owner reallocated the budget. She reduced social ad spend by half and used part of it to improve reviews and the Business Profile, create clearer pages about common conditions written by the clinicians and fund a small programme of talks for local GPs and sports clubs. She did not stop social entirely, because the dashboard showed it brought younger patients who valued evening slots, but she changed the ad goal from leads to booked appointments and added a simple qualifying question to the lead form.

After a quarter, cost per attended first appointment fell and the clinics' calendar filled more consistently. The practice manager was careful about what she claimed: seasonal patterns, a new physiotherapist and other changes also occurred, so she could not attribute everything to the new allocation. But the dashboard had done its job. It replaced a platform's metric with the business's metric, made the real cost of growth visible and turned an argument about opinions into a conversation about evidence. And it took a spreadsheet, a source question and a consistent definition of success, not an expensive tool.

Where we can help

We are a digital marketing agency in Manchester, UK and Mumbai, India. We help teams define KPIs, fix tracking and build a one-page dashboard that connects marketing to revenue, as part of our SEO and PPC reporting. Contact us to discuss your reporting.