Customer Product Preference Analysis
Budget: $15 – $25 USD
I want to sharpen my market strategy by digging into the customer data I already own and surfacing clear, evidence-based insights on what products my audience truly prefers. The sole focus of this job is Optimasi dan analisis pasar through Analisis data pelanggan, with an emphasis on mapping detailed Preferensi produk.
You will receive raw sales records plus basic interaction logs from my e-commerce backend. Your task is to clean, merge, and mine this information, then translate the numbers into plain-spoken recommendations I can act on right away.
Deliverables
• A tidy, well-commented dataset or SQL/Python notebook that shows every step of the cleaning and transformation process
• An insight report (PDF or Slides) highlighting key product-preference patterns, emerging trends, and any gaps in my current catalogue
• An interactive dashboard (Tableau, Power BI, or Looker Studio—pick the one you work fastest in) so I can filter results by date range, category, or campaign
• A concise action list that tells me exactly which items to promote, expand, or phase out
Acceptance criteria
The findings must be reproducible from the raw data I provide, visuals should load in under five seconds on a standard laptop, and every recommendation needs to be backed by at least one clear metric or chart.
If you thrive on turning messy commerce data into decisive product direction, I’m ready to start as soon as you are.
You will receive raw sales records plus basic interaction logs from my e-commerce backend. Your task is to clean, merge, and mine this information, then translate the numbers into plain-spoken recommendations I can act on right away.
Deliverables
• A tidy, well-commented dataset or SQL/Python notebook that shows every step of the cleaning and transformation process
• An insight report (PDF or Slides) highlighting key product-preference patterns, emerging trends, and any gaps in my current catalogue
• An interactive dashboard (Tableau, Power BI, or Looker Studio—pick the one you work fastest in) so I can filter results by date range, category, or campaign
• A concise action list that tells me exactly which items to promote, expand, or phase out
Acceptance criteria
The findings must be reproducible from the raw data I provide, visuals should load in under five seconds on a standard laptop, and every recommendation needs to be backed by at least one clear metric or chart.
If you thrive on turning messy commerce data into decisive product direction, I’m ready to start as soon as you are.