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PROJECT NOTES / FULL STACK & DATA

Influencer ROAS Analyzer

See which campaigns create incremental value.

A Streamlit dashboard that analyzes influencer campaign revenue, spend, ROAS, and incremental ROAS with filters and downloadable summaries.

PythonStreamlitPandasData Analytics
FULL STACK & DATA↗
01Campaign data
02Baseline analysis
03ROAS metrics
04Filters + trends
SYSTEM ARCHITECTURE
01 / THE CHALLENGE

The problem

Campaign revenue alone does not reveal spending efficiency or distinguish influencer contribution from a baseline of other revenue sources.

02 / THE APPROACH

How it comes together

The dashboard combines campaign data into KPI summaries, compares revenue against baseline activity, and lets users segment performance before exporting the results.

03 / UNDER THE HOOD

Follow the flow.

SIMPLIFIED ARCHITECTURE
01Campaign data
02Baseline analysis
03ROAS metrics
04Filters + trends
05CSV export
04 / BUILD HIGHLIGHTS

Revenue, spend, ROAS, and incremental ROAS.

Brand, product, platform, category, and date filters.

Top-performer views and underperforming-campaign flags.

Revenue trends and filtered CSV export.

THE ENGINEERING CHOICE

Why this approach?

Show standard and incremental ROAS together to make the baseline assumption visible when interpreting campaign performance.

Hosted-demo availability could not be confirmed during the latest link review. The source repository is available.

Explore the project’s supporting sources.Project repository
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CarbonIntel

Vijayshree Vaibhav
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