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Marketing Dashboard Design: Metrics, Layout and Workflow

マーケティングダッシュボードの作り方|KPI設計からツール選定・運用まで解説

Published: 03/12/2026

Last Updated: 09/25/2026

Category: Marketing DX

Authors: Shusaku Yosa

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A marketing dashboard should help a team make a decision. Start with its users and questions, then agree on metric definitions and data ownership before building charts. A dense screen of available metrics rarely serves every role well.

Design a view for each decision

User

Question

Useful content

Leadership

Will we hit the plan, and should funding move?

Target, actual, forecast, variance and material risk

Acquisition team

Which source needs improvement?

Spend, qualified outcomes, CPA and opportunity rate

Content team

Which page or message needs work?

Visits, behavior, outcomes and change dates

Sales coordination

Are leads accepted and followed up?

Acceptance, response time, deal stage and loss reasons

Let the leadership view lead into diagnostic detail. This preserves a concise review while giving operators the evidence needed to investigate.

A worked review layout

This hypothetical monthly view places the result at the top, drivers beneath it and the next action at the bottom.

Measure

Plan

Actual / forecast

Decision

Qualified opportunities

80

40 actual; 70 forecast

Inspect opportunity conversion by source

Spending

$10,000

$3,900 actual; $10,000 forecast

Include $2,500 of unrecorded commitments

Follow-up

Close the opportunity gap

Investigate unqualified demand

Acquisition owner reports findings on Friday

Being within budget does not mean outcomes are on track. Show outcome progress separately from budget consumption and explain what a variance means instead of relying on red or green alone.

Build a metric dictionary

Field

Example

Name and formula

Qualified opportunities, deduplicated after sales acceptance

Source and grain

CRM; one record per opportunity

Date and scope

Acceptance date; new customers, excluding renewals

Refresh and owner

Each business day; sales operations

Quality rule

Check ingestion completeness, missing records and reversals

Joining a daily campaign-spend table directly to individual opportunities can multiply spending. Aggregate to compatible grain before joining, then reconcile totals before and after the join.

Validate before people rely on the view

  • Align currency, tax treatment, time zones and reporting windows.
  • Keep missing values separate from zero and display freshness dates.
  • Use order or CRM records for business totals rather than adding platform conversions.
  • Calculate aggregate rates from the appropriate summed numerator and denominator, not a simple average of row rates.
  • Apply appropriate access and avoid unnecessary personal information.

Choose tools by responsibility

Data Studio, formerly Looker Studio, and other BI tools support visualization. Check connectors, refresh needs, sharing and the person who will maintain calculations. A spreadsheet can be a useful first version when scope is small.

Budget approval and project ownership require management workflows as well as charts. Xtrategy features describes budget and portfolio capabilities. Confirm any required external-data integration separately rather than assuming every tool collects advertising data automatically.

Keep the dashboard in the operating routine

Review the gap, data issues, explanations to test and next action in that order. Retire unused charts. Record changes to definitions so a break in measurement is not mistaken for a business trend. Every action should have an owner and a review date.

Related practical guides

  • KPI definitions and ownership
  • Measurement quality checks
  • Budget forecasting

 

 

 

 

Table of Contents

  1. Design a view for each decision
  2. A worked review layout
  3. Build a metric dictionary
  4. Validate before people rely on the view
  5. Choose tools by responsibility
  6. Keep the dashboard in the operating routine
  7. Related practical guides

 

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