E-commerce Product & Channel Profitability Intelligence I designed an e-commerce profitability intelligence system to help store owners understand which products and marketing channels are actually worth scaling—and which ones are quietly draining margin.

The system combines sales, ROAS, CAC, conversion performance, customer value, and product profitability into one decision-focused view.

Instead of only showing which products generate the most revenue, it helps answer: Which products are truly profitable? Which channels deserve more budget? Where is customer acquisition becoming too expensive? Which products look strong on revenue but weak on margin? Where should the business invest next?

The analysis highlights:

Lower-volume products with stronger profitability

Channels with strong ROAS but rising acquisition costs

Channels generating higher-value repeat customers

High-traffic products with weak conversion

Underperforming campaigns and categories

Budget reallocation opportunities

Areas where revenue growth is not translating into profit

Example decision view Product A High revenue · Weak margin

Product B Lower revenue · Strong profitability

Meta Ads Strong ROAS · Rising CAC

Email Lower CAC · Strong repeat revenue

The goal is not simply to report performance.

It is to help an e-commerce business decide: Where should we put the next dollar?

The final system gives the team a clearer view of what to scale, what to fix, what to reduce, and where profitability can improve.

Tools: Power BI, SQL, Excel, e-commerce sales data, marketing data, and profitability analysis.