Analytics

Build a Marketing Campaign Performance Dashboard With AI

A marketing campaign performance dashboard with AI consolidates your campaign data (ad spend, impressions, clicks, conversions, revenue) into a single visual interface. You start by defining your channels (Google Ads, Meta, LinkedIn, email), KPIs, and reporting period. AI designs the dashboard layout, writes the data connection logic, and creates calculated fields for CPA, ROAS, and conversion rate. On aidowith.me, the Analytics Dashboard route covers 14 steps in about 3 hours. You'll finish with a working dashboard showing 6 to 8 KPI cards, trend charts by channel, and a comparison view for A/B tests. Marketing teams that track campaign performance in real time reallocate budget 40% faster than those using weekly spreadsheet reports. This route gives you that visibility in one session. The route also adds a budget pacing section that shows how much of your monthly budget has been spent versus the expected pace. Teams catch overspend within 48 hours instead of discovering it at month-end.

14 steps ~3h For analysts Free
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The Problem and the Fix

Without a skill

  • You pulled campaign data from 5 platforms every Monday morning, and the report was already outdated by Tuesday
  • Your CEO asked for ROAS by channel, and it took you 3 hours to calculate because the data lived in separate spreadsheets
  • Two campaigns ran simultaneously with no shared dashboard, so you overspent on the underperforming one by $4,000

With aidowith.me

  • Get a single dashboard with 6 to 8 KPI cards covering spend, conversions, CPA, and ROAS across channels
  • See trend charts that update as data flows in, so you catch underperforming campaigns early
  • Finish the full dashboard build in about 3 hours instead of stitching together spreadsheets every week

Who Builds This With AI

Ops & Analysts

Summaries, process docs, and structured output from messy inputs.

Managers & Leads

Reports, presentations, and team comms handled faster.

Marketers

Content, campaigns, and briefs done in hours instead of days.

How It Works

1

Define channels and KPIs

List your active marketing channels, the KPIs you care about (CPA, ROAS, conversion rate), and your reporting period. AI uses this to design the dashboard layout.

2

Build the dashboard structure

AI creates KPI cards, trend charts, and channel comparison views. You connect your data sources and verify that calculated fields (CPA, ROAS) display correctly.

3

Add filters and export

AI adds date range filters, channel toggles, and campaign-level drill-downs. You test the dashboard with live data and share it with your team.

Build Your Campaign Dashboard Now

Follow the route and get a live marketing performance dashboard in about 3 hours.

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What You Walk Away With

Define channels and KPIs

Build the dashboard structure

Add filters and export

Finish the full dashboard build in about 3 hours instead of stitching together spreadsheets every week

"I used to spend 4 hours every Monday pulling campaign numbers. Now the dashboard is always up to date and I reallocate budget in real time."
- Performance Marketing Manager, e-commerce brand
See full skill: An Analytics Dashboard

Questions

The route helps you build dashboards that connect to common platforms: Google Ads, Meta Ads, LinkedIn Ads, Google Analytics, and email marketing tools. The exact connections depend on your dashboard tool (Looker Studio, Tableau, or Google Sheets). AI writes the data logic for your setup. The route on aidowith.me walks you through each step with specific examples so you can apply this immediately to your real work.

No coding required. The route walks you through each step with specific instructions for your dashboard tool. If you can work through Google Sheets or Looker Studio, you can follow along. AI handles formulas, calculated fields, and chart configurations. The route on aidowith.me walks you through each step with specific examples so you can apply this immediately to your real work.

Update frequency depends on your data connections. Looker Studio dashboards connected to Google Ads refresh every 12 hours by default. Google Sheets dashboards update when you refresh the data pull. The route shows you how to set up automatic refresh schedules for your chosen tool. The route on aidowith.me walks you through each step with specific examples so you can apply this immediately to your real work.