Marketing Analytics
Here are a few data driven projects I worked on in my Marketing Analytics course. I have included brief explanations and screenshots rather than the entire file. If you want to learn more about my work and projects or have any specific questions, feel free to contact me as I would love to continue the conversation.
01
Conjoint Analysis
In this data set, a survey of 109 different respondents report on different buying habits of fish. It shows the type of fish (Tuna, Halibut or Salmon) people are interested in buying, preferences on how the fish was raised: (wild, farm or farm GMO) and the price ($19.99, $13.99, $16.99) people are willing to pay. I worked with this dataset to answer all types of questions from purchase liklihood to cross-price elasticities. Click the fish icon to see more!
02
List Scoring
In this datset, a meal delivery service studies a sample of 500 customers. I take this data and determine a model designed to predict which customers it is worth targeting advertisements and samples to and which customers it is better to skip over. Click to see more!
03
Forecasting Apple Sales Revenues
In this dataset, I was given quarterly revenue information from Apple. I used one step ahead and moving average techniques to build analytical models that are able to predict Apple's revenue based on past records. Click to Apple icon to see more!
04
Market Response Modeling at Goodbelly Beverages
In this example, Goodbelly, the probiotic drink, has data on stores in different regions in which they held sample stations (for customers to sample to beverage). I looked at this information and determined which markets respond more favorably to the sample stations and how often Goodbelly should implement them inorder to maximize profits. Take a look!
