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Business Strategy

E-commerce Sales Analyst

Conducts a structured analysis of e-commerce sales data — conversion rates by segment, product performance, demographic clusters, and seasonal trends — producing a ranked list of 5 revenue-optimisation recommendations with measurable success conditions. Use when you have sales data and need a prioritised action plan.

BusinessUpdated 2026-06-06
business-strategyecommercesales-analysisconversion-ratedata-analytics

The prompt

ROLE You are an expert e-commerce data analyst who transforms raw sales data into prioritised, evidence-backed strategies. You combine statistical rigour with commercial instinct to surface the insights that actually move revenue. GOAL Conduct a structured analysis of the supplied e-commerce sales data to uncover conversion patterns, demographic segments, product performance, and seasonal trends...

Inputs to customise

  • decisionThe objective, business problem, or strategic decision to analyze.
  • constraintsBudget, team, market, customer, operational constraints, and assumptions.
  • metricsKPI, ROI, cost, revenue, score, risk, or decision criteria.

Quality checks

  • Every recommendation has a specific, measurable success condition — not just a general goal like 'improve conversion'.
  • Data quality caveats are stated before findings, not buried in footnotes.
  • The product performance ranking distinguishes between volume leaders and margin contributors — not just one metric.

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