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leverage predictive models, machine learning, data mining to solve marketing, business problems

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Digital_Marketing_Analytics_Project

Project 1

Predict users' likelyhood to convert within a certain period of time based on site behavior

  • Site Behavior includes unique views, unique clicks per day
  • If clicks a certain button (saved search, favorite and etc.) (or not)

Project 2

Goal: Obtain CPA target goal for each market by predicting Revenue, Profitability and Margin based on variables such as close rate, projected contacts, projected revenue/deal and etc.

Steps: 1. Apply RF Model and Clustering Analysis and predict close rate for each market and each month 2.

Attribution Model

Search Term Mining

Seasonality Forecasting

Customer Life Time Value

Corhort Analysis

Estimate User Score

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