Amazon India Market Analysis

I’m gearing up to launch a new private-label line on Amazon India and need a crisp, data-driven picture of how shoppers actually buy in my target categories. The core of this job is customer behavior analysis, with a laser focus on purchase frequency: how often buyers return, how seasonality shapes repeat orders, and which price bands or pack sizes trigger the most re-purchases. While competitor and trend insights could be interesting later, right now I want to dig deep into purchase-pattern data and turn it into clear, actionable decisions.

You’re free to tap tools such as Brand Analytics, Helium 10, Jungle Scout, Keepa or your own data pipelines—whatever gets statistically solid, India-specific results. Just be ready to explain your methodology so I can replicate or refresh the study in the future.

Deliverables:
• Clean data set (CSV or Sheets) clearly labeled and source-referenced
• Visual dashboard or slide deck summarising purchase-frequency findings
• Concise action plan translating the numbers into inventory, pricing and launch recommendations
• Brief methods note outlining data sources, time range, metrics definitions and any modelling you used

I value clarity over length; if the insight is obvious, say it plainly. If something in the data looks odd, flag it and suggest next steps rather than smoothing it over.

Looking forward to seeing how you can turn raw Amazon numbers into an informed launch roadmap.