This project was conducted in the Jupyter Notebook environment using Python for the Career Foundry Data Analytics course Spring 2023
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. This project was designed 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.
Stakeholders are considering a targeted marketing strategy and are most interested in the variety of customers in their database along with their purchasing behaviors. They want to target different customers with applicable marketing campaigns to see whether they have an effect on the sale of their products.
- The sales team needs to know what the days and times with the most orders in order to schedule ads at times when there are fewer orders.
- They also want to know whether there are particular times of the day when people spend the most money, as this might inform the type of products they advertise at these times.
- Marketing and sales want to use simpler price range groupings to help direct their efforts.
- The marketing and sales teams want to know which departments have the highest frequency of product orders and popularity of the the poducts.
- The marketing and sales teams are particularly interested in the different types of customers and how their ordering behaviors differ.
- What’s the distribution among users in regards to their brand loyalty?
- Are there differences in ordering habits based on a customer’s loyalty status?
- Are there differences in ordering habits based on a customer’s region?
- Is there a connection between age and family status in terms of ordering habits?
- What different classifications does the demographic information suggest?
- Are there differences in ordering habits of different customer profiles? (considering the price of orders, the frequency of orders, the products customers are ordering)
"The Instacart Online Grocery Shopping Dataset 2017" Accessed on 5/5/2023 https://www.kaggle.com/datasets/psparks/instacart-market-basket-analysis
Excel report addressing business requirements