Instacart is an online grocery store that operates through an app. Instacart already has very good sales, but they want to uncover more information about their sales patterns. My task is to perform an initial data and exploratory analysis of some of their data in order to derive insights and suggest strategies for better segmentation based on the provided criteria. The Instacart stakeholders are most interested in the variety of customers in their database along with their purchasing behaviors. They assume they can't target everyone using the same methods, and they’re considering a targeted marketing strategy. They want to target different customers with applicable marketing campaigns to see whether they have an effect on the sale of their products.
"“The Instacart Online Grocery Shopping Dataset 2017”, Accessed from www.instacart.com/datasets/grocery-shopping-2017via Kaggle on <15/09/2023>."
"The contents of this project brief have been fabricated for the purpose of this Achievement.
- Customers' data
- Departments' data
- Products' data
- Orders data
- Orders products prior data
The contents of this project were organised as follows:
- Project brief - this folder contains the stakeholders brief and business questions that drive the analysis.
- Data - this folder contains two folders: one for the original data sets, and one for the wrangled and prepared data sets. NOTE: this folder was not uploaded with the rest of the file.
- Scripts - this folder contains all the notebooks, including the codes necessary to assess, clean and organise, wrangle and analysie the data. Also includes the coding necessary to create the visualisations for the final report.
- Visualisations - this folder contains all the visualisations obtained in the 'scripts' folder, which were included in the final report.
- Sent to client (report) - this folder includes the excel file/report which was sent to the client/stakeholder.