Marketing Survey Data Insights - 02/09/2025 20:03 EDT
Budget: $250 – $750 USD
I’m sitting on a sizeable set of numeric survey responses and need a fresh pair of analytical eyes to turn those raw numbers into clear, actionable guidance for our marketing team. The objective is very specific: surface insights that will help us refine ongoing campaigns, optimise spend, and sharpen audience targeting—essentially anything that moves the needle on our current marketing operations.
The dataset is already exported to CSV and includes respondent demographics, channel-level engagement metrics, and satisfaction scores collected over the last two quarters. I’d like you to clean the file, explore it with the right statistical techniques, and visualise patterns that aren’t obvious at first glance. A solid command of Python (Pandas, NumPy, scikit-learn) or R, plus dashboard know-how in Power BI or Tableau, will be invaluable here.
Deliverables I expect:
• A concise report summarising key findings, supported by charts or heat-maps.
• An interactive dashboard that the marketing team can filter by segment, channel, and date range.
• A short recommendations section translating the numbers into clear next steps for campaign optimisation.
If you have previous examples of survey-based marketing analyses, please include them so I can gauge fit. Looking forward to seeing how you bring this data to life.
The dataset is already exported to CSV and includes respondent demographics, channel-level engagement metrics, and satisfaction scores collected over the last two quarters. I’d like you to clean the file, explore it with the right statistical techniques, and visualise patterns that aren’t obvious at first glance. A solid command of Python (Pandas, NumPy, scikit-learn) or R, plus dashboard know-how in Power BI or Tableau, will be invaluable here.
Deliverables I expect:
• A concise report summarising key findings, supported by charts or heat-maps.
• An interactive dashboard that the marketing team can filter by segment, channel, and date range.
• A short recommendations section translating the numbers into clear next steps for campaign optimisation.
If you have previous examples of survey-based marketing analyses, please include them so I can gauge fit. Looking forward to seeing how you bring this data to life.