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KPI Dashboard Examples and Templates for Marketing Teams (2026)

Eight copy-ready dashboard specs, from executive revenue to Klaviyo retention, with plain definitions, sources and chart types for every KPI.

By Manish Chandwani, GrowwithBA · Updated October 6, 2026

Key takeaways

  • A useful KPI dashboard answers one question for one audience. Build separate views for executives, channel owners and clients.
  • Keep each dashboard to 6 to 10 KPIs, each with a written definition, a single source and a target.
  • Pull revenue from your store or CRM, not from ad platforms. Platforms each credit themselves.
  • Below are eight ready-to-copy specs, from executive revenue to agency client reports.
  • Databox has a free plan, Looker Studio (now called Data Studio) is free, and Google Sheets is free with a Google account. Pick the tool after you pick the KPIs.

What makes a KPI dashboard useful

Most dashboards fail because they show everything the connectors can pull, not the few numbers that drive a decision. Apply these rules first.

  • One audience, one question. A CEO asks if revenue is on track. A media buyer asks which ad set to cut. Give them separate screens.
  • Every KPI has a definition. Write the formula next to the chart. If two people can read a number two ways, it will cause an argument.
  • Every KPI has a target or a comparison. A number with no target and no prior period is trivia.
  • One source of truth per metric. Decide whether revenue comes from Shopify, the CRM or GA4, and stick to it.
  • A review cadence. A dashboard nobody opens on a schedule is decoration.

If you are still choosing which metrics matter, start with our guide to marketing KPIs that matter, then come back to the templates.

8 KPI dashboard templates for marketing teams

Each template lists the audience, KPIs with definitions, sources, a chart per KPI, review cadence and one mistake to avoid. Definitions follow platform documentation, linked where used.

1. Executive weekly revenue dashboard

Who it is for: Founders and CMOs who need to know if this week is on track.

Data sources: Shopify or CRM for revenue, ad platforms for spend, GA4 for sessions, a targets sheet.

KPIDefinition / formulaSourceChart
Net revenueRevenue after discounts and returns. Use the number finance trusts.Shopify / CRMScorecard with change vs last week
Revenue vs targetRevenue to date / target to date.Shopify / CRM + targets sheetBullet or progress bar
Total marketing spendSum of spend across all paid channels.Google Ads, Meta AdsScorecard
MER (marketing efficiency ratio)Total revenue / total marketing spend.CalculatedLine chart, 12 weeks
New customersFirst-time buyers, or new closed-won accounts for B2B.Shopify / CRMColumn chart by week
Blended CACTotal marketing spend / new customers.CalculatedLine chart, 12 weeks
Site conversion rateOrders (or leads) / sessions.Shopify / GA4Line chart

Review cadence: Weekly, every Monday, in a 15-minute meeting.

Common mistake: Adding up revenue that each ad platform reports. Every platform credits itself, so the total overstates real revenue. Use your store or CRM only.

2. Paid media dashboard (Google Ads + Meta)

Who it is for: Media buyers and the person who approves ad budgets.

Data sources: Google Ads and Meta Ads Manager, with GA4 or your backend as a cross-check.

KPIDefinition / formulaSourceChart
SpendCost for the period, split by platform and campaign.Google Ads, Meta AdsStacked column by platform
ConversionsCount of the conversion actions you set as primary.Google Ads, Meta AdsColumn chart
Cost per conversion (CPA)Cost / conversions.CalculatedLine chart
ROASConversion value / cost. Google Ads shows this as the conversion value/cost column.Google Ads, Meta AdsLine chart vs target line
CTRClicks / impressions.Google Ads, Meta AdsTable by campaign
CPCCost / clicks.Google Ads, Meta AdsTable by campaign
Frequency (Meta)Average times each account saw your ad. Meta calculates it as impressions divided by reach.Meta AdsLine chart by ad set

Review cadence: Spend and pacing checked daily. Full review weekly.

Common mistake: Treating a Google conversion and a Meta conversion as the same thing. Each uses its own attribution and counting rules. Compare each platform with its own history and judge the total from your backend.

3. SEO dashboard (Search Console + GA4)

Who it is for: SEO leads, content teams and anyone asked whether organic is growing.

Data sources: Google Search Console for search visibility, GA4 for what visitors do after they land.

KPIDefinition / formulaSourceChart
ClicksClicks from Google Search to your site, as defined by Search Console.Search ConsoleLine chart, 16 months
ImpressionsTimes a link to your site was seen (or potentially seen) in results.Search ConsoleLine chart
CTRClicks / impressions.Search ConsoleTable by page
Average positionTopmost position of your link, averaged across all queries.Search ConsoleTable by query
Non-brand clicks shareNon-brand clicks / total clicks. Filter out brand queries with a regex.Search ConsoleStacked area
Organic engagement rateEngaged sessions / sessions for Organic Search. GA4 counts a session as engaged if it lasts over 10 seconds, has a key event, or has 2+ page views.GA4Scorecard
Organic key eventsCount of key events from Organic Search sessions.GA4Column chart by month

Review cadence: Monthly review, with a quick weekly look for sudden drops.

Common mistake: Reading average position on its own. Because it is averaged across all queries, ranking for many new long-tail queries can pull the average down while clicks go up. Always show it next to clicks.

More on this in SEO reporting KPIs and essential GA4 reports.

4. Ecommerce dashboard (Shopify)

Who it is for: Store owners, ecommerce managers and the team running promotions.

Data sources: Shopify analytics, ad platforms for spend, and a cost sheet for product costs.

KPIDefinition / formulaSourceChart
Net salesSales with discounts and sales reversals factored in. See Shopify field definitions.ShopifyScorecard + line chart
OrdersNumber of orders placed.ShopifyColumn chart by day
Average order value (AOV)(Gross sales - discounts) / orders.ShopifyLine chart
Conversion rateSessions that completed checkout / sessions.ShopifyLine chart
Returning customer rateReturning customers / customers.ShopifyLine chart, monthly
Contribution after adsNet sales - product costs - shipping - ad spend.Shopify + cost sheet + ad platformsWaterfall or column chart
Top products by net salesNet sales grouped by product.ShopifySorted bar chart

Review cadence: Daily glance at sales and orders. Weekly review of margin and conversion.

Common mistake: Reporting total sales as revenue. Shopify's total sales includes taxes, shipping and fees, so it overstates what the business earned. Use net sales.

5. Email and retention dashboard (Klaviyo)

Who it is for: Retention and CRM marketers who run flows and campaigns.

Data sources: Klaviyo, with Shopify for repeat purchase context.

KPIDefinition / formulaSourceChart
Attributed revenueRevenue Klaviyo attributes to messages within its attribution window. Split flows vs campaigns. See the Klaviyo analytics glossary.KlaviyoStacked column
Revenue per recipientAttributed revenue / people who received a message.KlaviyoLine chart
Click ratePeople who clicked / people who received.KlaviyoTable by campaign
Placed order rateOrders in the attribution window / unique recipients.KlaviyoTable by flow
Open ratePeople who opened / recipients. Use as a directional signal.KlaviyoTable by campaign
Unsubscribe rateUnsubscribes / recipients, per campaign.KlaviyoLine chart
Spam complaint rateSpam complaints / recipients.KlaviyoLine chart with alert

Review cadence: Weekly for campaigns. Monthly for flows and list health.

Common mistake: Calling attributed revenue incremental revenue. Some attributed buyers would have ordered anyway. Use holdout tests for the incremental number.

6. Lead gen and B2B pipeline dashboard

Who it is for: B2B marketers, sales leaders and service businesses selling through calls or demos.

Data sources: GA4 for form submissions, your CRM (HubSpot, Salesforce, Zoho) for stages and deal values, ad platforms for spend.

KPIDefinition / formulaSourceChart
LeadsForm fills, calls or demo requests, tracked in GA4 and the CRM.GA4, CRMColumn chart by source
Lead-to-SQL rateSQLs / leads. Write down your SQL definition first.CRMLine chart
Cost per SQLMarketing spend / SQLs.Ad platforms + CRMTable by channel
Pipeline createdTotal value of new opportunities opened in the period.CRMColumn chart by month
Win rateDeals won / (deals won + deals lost).CRMScorecard
Sales cycle lengthAverage days from opportunity created to closed-won.CRMLine chart
Revenue wonValue of deals closed-won.CRMScorecard vs target

Review cadence: Weekly with sales. Monthly for channel budget decisions.

Common mistake: Optimizing ads to the lowest cost per lead. Cheap leads that never become SQLs look good at the top and empty at the bottom. Judge channels on cost per SQL and pipeline.

7. Local business dashboard

Who it is for: Clinics, restaurants, salons, home services and multi-location brands.

Data sources: Google Business Profile, GA4, and call tracking or a booking tool.

KPIDefinition / formulaSourceChart
Profile viewsPeople who viewed your Business Profile on Search and Maps. See Google definitions.Business ProfileLine chart, monthly
CallsClicks on the call button on your profile.Business ProfileColumn chart
Direction requestsPeople who asked for directions to your business.Business ProfileColumn chart
Website clicksClicks on the website link on your profile.Business ProfileColumn chart
Search termsTerms people used when your profile appeared.Business ProfileTable, top 20
Reviews and average ratingNew reviews in the period and current star rating.Business ProfileScorecards
Bookings or calls from siteBookings and click-to-call as GA4 key events.GA4 / booking toolColumn chart

Review cadence: Monthly. Weekly only for review responses.

Common mistake: Checking search terms every week. Google updates that data monthly, with a delay of up to five days, so weekly swings tell you nothing.

8. Agency client report

Who it is for: Agencies and freelancers reporting to clients, and in-house teams reporting to leadership.

Data sources: Usually GA4, ad platforms, Search Console and the client's store or CRM.

KPIDefinition / formulaSourceChart
Primary goal vs targetThe one number the client hired you to move, against the agreed target.Store / CRMBullet chart
Budget pacingSpend to date / (monthly budget x days elapsed / days in month).Ad platformsGauge or progress bar
Revenue or leads from marketingResults by channel, from the client's own system where possible.Store / CRM / GA4Stacked column by channel
CPA or ROASCost / conversions, or conversion value / cost.Ad platformsLine chart vs target
Organic clicksClicks from Google Search.Search ConsoleLine chart
Key events by channelGA4 key events grouped by default channel group.GA4Table

Review cadence: Monthly report and call. Weekly pacing note by email.

Common mistake: Sending 40 charts with no commentary. Put three sentences at the top: what happened, why, and what you will do next. The charts are evidence, not the message.

Building these in Databox, Looker Studio or Google Sheets

All eight templates work in any of these tools. Here is what each official page says today.

Databox

Databox has a free plan at $0 per month with 1 user, 3 data sources, 1 dashboard and a daily maximum sync frequency. Paid plans start with Analyst at $71 per month billed annually, which raises the sync frequency to hourly and adds API access. There is also an Agency plan starting at $79 per month billed annually, with client packs at $20 per month each. The free plan's 3 data sources are enough for one template, such as paid media.

Looker Studio (now Data Studio)

Google's documentation now says that Looker Studio is now called Data Studio. The product page says it is available at no charge for creators and report viewers, and that it can connect to more than 1,400 data sources, including Google Sheets, Google Ads, BigQuery and Google Analytics. The paid Pro version costs $9 per user per project per month. Scheduled email delivery sends the report as a PDF, at most once per day on the standard version and up to once per hour on Pro. It suits the SEO, GA4 and Google Ads templates, where Google's own connectors do the work.

Google Sheets

Google Sheets is free for anyone with a Google account. It suits the executive and agency templates, where you paste or import a handful of weekly numbers and need full control over formulas. Our marketing reporting template for Google Sheets gives you a starting structure.

For a side-by-side on the two dashboard tools, read Databox vs Looker Studio.

How to roll it out in a week

  1. Day 1: Pick one template and one owner. Start with the one tied to your biggest budget line.
  2. Day 2: Write definitions and targets. Fix one source per metric and add a target or comparison period.
  3. Day 3: Check tracking. Confirm GA4 key events, ad conversion actions and CRM stages fire correctly.
  4. Day 4: Connect sources and build. Build one chart per KPI using the chart types listed.
  5. Day 5: Reconcile. Compare totals with source platforms for last month. Fix filter, date or currency gaps.
  6. Day 6: Add commentary space. Add a text box at the top: what changed, why, next actions.
  7. Day 7: Run the first review. Note which KPIs nobody used and remove them.

FAQ

What is a KPI dashboard in marketing?

A single view of the few metrics tied to your marketing goals, each with a definition, a source and a target, built for one audience and reviewed on a set schedule.

How many KPIs should a marketing dashboard have?

Aim for 6 to 10. If you need more, you probably have two audiences and should split it into two dashboards.

Can I build a KPI dashboard in Databox for free?

Yes. Databox's free plan includes 1 user, 3 data sources and 1 dashboard, with data syncing at most daily. That is enough for a single template such as a paid media or SEO dashboard.

Is Looker Studio still free in 2026?

Yes. Google's product page says it is available at no charge for creators and viewers. Google now calls the product Data Studio. A paid Pro version adds team features and support at $9 per user per project per month.