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Ad Spend & Margin Insights

Feed it a campaign CSV, get a ROAS chart and a plain-English write-up.

K3N8H Verified

  • βœ“ Real preview shipped
  • βœ“ License terms specified
  • βœ“ Setup/usage instructions included
  • βœ“ Actually run before listing
  • βœ“ Stated limitations verified
Disclaimer: Outputs (charts, summary stats, and written insights) are generated from the data you provide and are only as accurate and complete as that data. Verify before making decisions on it.

Takes an ad campaign CSV (spend, units sold, price, cost) and produces per-product ROAS and net profit, a chart flagging products below a reference ROAS, and a written summary.

Runs where you work

desktopmobileoffline

Built for a private workflow: local-first execution, no forced cloud dependency, and a clear path to use it on a laptop or phone without an API key.

Included value

Privacy-first workflowPersonalized outputNo API required

Each product is designed to feel personal, useful, and complete without turning your work into an external dependency.

Ad Spend & Margin Insights

1 image
Ad Spend & Margin Insights - Image 1
roas_chart.png

Real chart generated by running the script against the bundled sample-campaigns.csv.

What's included

  • ad_spend_insights.py + requirements.txt
  • sample-campaigns.csv
  • roas_chart.png (real generated chart)
  • example-insights.md (real generated write-up)
  • README.md with stated input/output limits

Built with

Pythonmatplotlib

Runs locally with Python 3: no accounts, API keys or internet needed

See example-insights.md and roas_chart.png β€” both generated by actually running ad_spend_insights.py against sample-campaigns.csv.

License & pricing

Try it before you buy. The preview above is the real product, not a mockup.

Personal License

$16

For your own work or your own business. No client work, and no resale or redistribution of the files.

Commercial License

$40

Use across client work or resell the output. No reselling the source files/template itself.

What these licenses mean β†’

Refund terms are set per product, and checkout through Whop or Gumroad has its own buyer protection. Questions before you buy? Ask in the chat or on the feedback page; we'll help where we can.

Data Analyst Bots β€” publishing standard

  • Required deliverables: Sample dataset, Example output, Setup instructions, Stated input/output limits
  • Disclaimer required
  • README required
  • Proof-it-runs evidence required

No fabricated capabilities. State real limits on input size/format and output types.

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