Interactive Plotly Dash dashboard for an insurance company's sales funnel: from first website visit to sold policy — conversion, revenue, discounts and time-to-conversion in one view.
50,229 visits → 5,767 policies (11.5% end-to-end conversion) — real numbers from the dataset.
| KPI | Definition |
|---|---|
| Conversion rate | Share of contacts that bought a policy |
| Policies sold | Total converted customers |
| Avg premium | Mean premium of converted customers |
| Total revenue | Sum of premiums from converted customers |
| Avg discount | Mean discount applied across quotes |
| Time to conversion | Days from first contact to purchase |
The centerpiece is a funnel chart (website visits → inquiries → quote requests → policy purchases) with stage-to-stage conversion percentages.
| File | Purpose |
|---|---|
app.py |
Dash application (KPI cards + funnel + breakdown charts) |
sber.ipynb |
Analysis notebook behind the dashboard design |
insurance.csv |
Customer-level dataset (conversion status, premium, discounts, funnel counters) |
pip install dash pandas numpy plotly
python app.pyThen open http://127.0.0.1:8050.
Part of my Data Analyst portfolio → @alihosseinabadi