Analytics & GrowthComplete

E-commerce Growth & Commercial Strategy

Commercial analysis of channel quality, mobile funnel performance, product mix, and refund risk across a 1.7M-row dataset.

THE DECISION

How should marketing budget and product effort shift across channels, devices, and products?

APPROACH

Analyzed six relational tables with joins, CTEs, and time-series SQL
Compared conversion and revenue per session by channel and device
Connected session depth, product mix, and refund behavior
Created budget scenarios and decision guardrails

EVIDENCE & DELIVERABLES

1.7M public records analyzed
Desktop conversion 8.5% versus 3.1% on mobile
Commercial recommendation, charts, workbook, and executive deck

SELECTED WORK FILES

PDF

E-commerce Growth Strategy

Executive deck connecting channel quality, mobile conversion, product mix, refunds, and budget allocation.

213 KB

Open ↗

Excel

E-commerce Budget Allocation

Editable planning workbook for channel budgets, expected contribution, and decision guardrails.

13 KB

Open ↗

EVIDENCE INTEGRITY

This case is presented as public learning dataset · historical analysis and planning estimates. The label distinguishes observed work from simulated impact, proxies, historical comparisons, or proposed architecture.