Create a ROAS Dashboard From Advertising Campaign Data

Upload advertising performance data to compare campaign spend, attributed revenue, conversions, ROAS, cost per acquisition, and channel performance.

VizMint converts structured exports from paid media platforms into a clear performance report while showing which metrics depend on attribution, conversion, or customer data.

Supports structured .csv and .xlsx files. Public examples use synthetic data. Review VizMint’s current privacy and retention policy before uploading sensitive information.

Drop your CSV or Excel file here to generate instant insightsDrag and drop your file here, or click to browse
Demo

See campaign data become a ROAS dashboard

Use the fixed preview below to switch between the source spreadsheet and a dashboard sample. Open the full demo in a new tab for every KPI and chart.

ROAS Dashboard

Interactive preview from the sample campaign performance dataset

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Switch preview

Total Records

48

rows in sample

Total Impressions

13,177,122

sum of Impressions

Total Attributed Revenue

4,657,245

sum of Attributed Revenue

Impressions vs Attributed Revenue

Grouped by Date

Full dashboard with all KPI details and 6 charts is on the demo page.

Open full demo

What the live demo includes

  • Source rows with date, platform, campaign, spend, and attributed revenue
  • Auto-detected KPI cards for spend, revenue, ROAS, and conversions
  • Spend vs revenue trend charts by period
  • ROAS by campaign and platform comparison views
  • CPA, CTR, and conversion rate charts when fields exist
  • Switch between Spreadsheet and Dashboard tabs in the live preview
  • Open the full demo in a new tab for all generated charts

The sample contains 48 campaign records across 4 campaigns and 2 platforms. Charts and KPI cards are generated from the same JSON dataset.

Sample totals: $1,000,612 spend, $4,657,245 attributed revenue, and 4.65x reported ROAS — clearly separating attributed performance from profit.

Why This Workflow Is Useful

The Decision It Supports

Compare advertising spend and attributed revenue while keeping attribution and profit limitations visible.

Why the Result Can Be Trusted

Marketing metrics can look strong while hiding attribution gaps, different platform windows, or missing costs. The content must distinguish reported campaign performance from verified business profit.

Example Dataset

The campaign sample contains $1,000,612 in spend and $4,657,245 in attributed revenue, producing 4.65x reported ROAS while clearly separating ROAS from profit.

Why VizMint is different from a generic template

  • Begin with the structured file the user already has.
  • Explain required fields before upload and show detected mapping after upload.
  • Display formulas, reporting scope, exclusions, and missing-field behaviour beside the result.
  • Use one synthetic dataset across the live preview, expected results, KPI cards, and charts.
  • Connect headline metrics to the records or grouped table that explain them.
  • State plan, export, privacy, integration, and automation details only when they are available in the current product.

The workflow is designed around transparent attribution boundaries, comparison periods, and calculation evidence.

Compare Marketing Spend With Attributed Results

Advertising platforms provide impressions, clicks, spend, conversions, and conversion value, but campaign exports are difficult to compare across periods or channels. A ROAS dashboard brings the important metrics into one visual workflow.

The page must separate attributed revenue from profit and explain when CPA, CAC, or ROAS cannot be calculated.

This workflow helps answer questions such as:

  • Which campaigns generate the highest ROAS?
  • How does spend compare with attributed revenue?
  • What is the cost per conversion?
  • Which platforms or channels are most efficient?
  • Are clicks turning into conversions?
  • Does the available data support CAC or only CPA?
  • See How the Source File Becomes a VizMint Output

    Follow the same dataset from source rows to the generated dashboard preview. The spreadsheet table, KPI cards, and charts all come from one JSON sample, so every visible result can be checked against the source.

    Before: Structured Source Data

    5 of 48 rows

    The source preview highlights the exact columns and representative rows used in the analysis.

    DateQuarterCampaignPerformance TierImpressions
    2025-07-01Q3 2025Brand SearchExcellent117,167
    2025-07-01Q3 2025Non-Brand SearchStrong163,939
    2025-07-01Q3 2025RetargetingExcellent115,916
    2025-07-01Q3 2025ProspectingNeeds Work586,495
    2025-08-01Q3 2025Brand SearchExcellent118,570

    After: Generated VizMint Output

    The finished example is generated from the sample dataset rather than an unrelated mockup or stock image.

    Ad Spend$1,000,6122 platforms
    Attributed Revenue$4,657,24536,075 conversions
    ROAS4.65xCPA $28

    Impressions vs Attributed Revenue

    Grouped by Date

    Columns to Include in Your File

    VizMint works best when every column has one clear heading and each row represents one consistent record.

    Supported File Structures

    Campaign summary

    • • Date
    • • Platform
    • • Campaign
    • • Spend
    • • Conversions
    • • Conversion Value

    Detailed export

    • • Date
    • • Platform
    • • Campaign
    • • Ad Group
    • • Impressions
    • • Clicks
    • • Spend
    • • Conversions
    • • Conversion Value
    ColumnRequirementExamplePurpose
    DateRecommended2026-06-01Creates performance trends
    PlatformRecommendedGoogle AdsEnables platform comparison
    CampaignRequiredBrand SearchIdentifies campaign
    Ad GroupOptionalCore KeywordsAdds detail
    ImpressionsOptional120000Calculates CTR
    ClicksOptional4200Calculates CTR and CPC
    SpendRequired for ROAS/CPA5400Stores advertising cost
    ConversionsRequired for CPA240Stores conversion count
    Conversion Value or RevenueRequired for ROAS21000Stores attributed value
    New CustomersRequired for CAC90Calculates customer acquisition cost
    LeadsOptional320Supports lead reporting
    CurrencyRecommendedUSDIdentifies currency

    What VizMint Can Generate

    Advertising Spend

    Total paid media cost.

    Attributed Revenue

    Revenue or conversion value attributed to campaigns.

    Conversions

    Total recorded conversions.

    ROAS

    Attributed revenue divided by ad spend.

    Cost per Acquisition

    Ad spend divided by conversions.

    Customer Acquisition Cost

    Acquisition spend divided by new customers.

    Click-Through Rate

    Clicks divided by impressions.

    Cost per Click

    Spend divided by clicks.

    Conversion Rate

    Conversions divided by clicks.

    Charts and Visualizations

    Chart or OutputRequired FieldsBusiness Question
    Spend vs Revenue TrendDate, spend, attributed revenueAre returns keeping pace with spend?
    ROAS by CampaignCampaign, spend, revenueWhich campaigns are most efficient?
    Conversion TrendDate, conversionsHow is conversion volume changing?
    CPA ComparisonCampaign, spend, conversionsWhich campaigns acquire conversions at the lowest cost?
    Platform ComparisonPlatform, spend, revenue, conversionsWhich channels perform best?
    Campaign RankingCampaign and selected KPIWhich campaigns deserve attention?

    How to Use This Workflow

    STEP 1

    Prepare the File

    Use clear headers, one record per row, consistent dates, and numeric values stored as numbers.

    STEP 2

    Upload the File

    Select the CSV or Excel file using the page’s upload control.

    STEP 3

    Choose the Worksheet

    For multi-sheet workbooks, choose the sheet containing the relevant data table.

    STEP 4

    Confirm Field Mapping

    Review the detected fields and map any column VizMint could not identify confidently.

    STEP 5

    Review the Preview

    Check dates, numbers, categories, missing values, and record counts before generation.

    STEP 6

    Generate the Output

    Create the supported dashboard, report, presentation, chart, or answer.

    STEP 7

    Review and Export

    Review calculations and limitations, then save, share, or export using the options available in the active plan.

    How the Calculations Work

    MetricFormula or MethodRequired FieldsImportant Rule
    ROASAttributed revenue ÷ advertising spendSpend and revenue or conversion valueROAS does not include all business costs.
    CPAAdvertising spend ÷ conversionsSpend and conversionsDo not calculate when conversions are zero.
    CACAcquisition spend ÷ new customersSpend and new customersLeads or conversions are not automatically customers.
    CTRClicks ÷ impressions × 100Clicks and impressionsUnavailable when impressions are zero.
    Conversion RateConversions ÷ clicks × 100Conversions and clicksDefinitions must match the source platform.

    What This Workflow Requires and Does Not Automatically Do

    • Attribution quality depends on source tracking.
    • Conversion value and recognized revenue may differ.
    • ROAS is not profit or total marketing ROI.
    • CAC requires new-customer data, not only conversions.
    • Platforms may use different attribution windows.
    • Cross-channel conversions may be duplicated.

    Common Data Problems and How to Fix Them

    ProblemRecommended Fix
    Spend and revenue use different currenciesConvert before comparison.
    Campaign names changeUse stable campaign IDs where possible.
    Conversion values are missingHide ROAS and show spend and conversion metrics only.
    Different attribution windows are mixedLabel the source and attribution definition.
    Leads are treated as customersUse a separate new-customer field for CAC.
    Totals include test campaignsFilter invalid or test activity.

    Who This Workflow Is For

    • Paid media managers
    • Marketing leaders
    • Agencies reporting to clients
    • Business owners monitoring ad efficiency
    • Growth teams comparing channels

    Common Use Cases

    • Google Ads reporting
    • Cross-platform campaign comparison
    • ROAS monitoring
    • CPA and CAC review
    • Monthly paid-media reporting
    • Client campaign summaries

    Why Use VizMint for This Workflow?

    • Bring spend, revenue, and conversion metrics into one report.
    • Show which calculations are supported by the uploaded fields.
    • Avoid presenting ROAS as profit.
    • Compare campaigns, platforms, and periods consistently.
    • Use a realistic campaign sample and verified output.

    Share and Export Your Results

    Available options depend on the live VizMint plan. The final page should list only verified capabilities, such as saving the analysis, downloading chart images, exporting PDF or PowerPoint files, creating a shareable link, refreshing with updated data, or removing branding on eligible plans.

    Do not publish a plan comparison until product and billing owners confirm every feature.

    Recommended Supporting Articles

    • • How to Compare Ad Spend and Revenue in One Dashboard
    • • How to Analyze a Google Ads CSV Export
    • • Lead Source and Conversion Funnel Reporting

    Frequently Asked Questions

    Choose the Right Approach

    Excel alone is enough when

    • The dataset is small and the report is genuinely one-off.
    • One spreadsheet owner can safely maintain formulas, pivots, and ranges.
    • The audience does not need a repeatable upload-to-output workflow.

    A traditional BI tool is a better fit when

    • The organization needs governed models, live connectors, row-level security, and enterprise distribution.
    • A data team can maintain transformations and a semantic layer.

    VizMint is a strong fit when

    • The starting point is a structured CSV or Excel file.
    • The user needs a guided workflow without manually building every formula and chart.
    • Clear field requirements, transparent calculations, reproducible samples, and shareable outputs matter.

    VizMint analyzes exports; it does not replace the accounting, CRM, help-desk, HR, warehouse, advertising, or project-management system that produced them.

    Ready to Use Your Data for ROAS Dashboard?

    Upload a structured CSV or Excel file, review the detected fields, and generate the workflow-specific output described on this page.