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Build Model to Predict Marketing Respondents and Those Likely to Purchase.

Industry Energy and Utility, Agriculture, Professional Services, Real Estate

Specialization Or Business Function Customer Analytics (Product Mix Analysis, Market Segmentation and Targeting, Customer Acquisition Modeling, Upsell Analysis, Recommendation Systems & Cross Sell Analysis)

Technical Function Analytics (Predictive Modeling, What if/Scenario Analysis, Data Mining, Trend Analysis, Prescriptive Modeling, Data Preparation)

Technology & Tools Data Analysis and AI Tools (RapidMiner)

COMPLETED Aug 08, 2017

Project Description

Need to predict who is likely to respond to a direct marketing piece and who is likely to buy.

  • We are a $800M national tree care firm specializing in tree pruning and plant health care.
  • Our marketing direct mail program is not as targeted as we'd like and we'd like to know better, who is likely to respond to our mailings and who is likely to purchase.
  • We require Rapidminer expert to build a model that we can use internally within RM.
  • Client and prospect data in most useable formats, that includes purchase history.
  • The deliverable would be a Rapidminer model to be used within RM.
  • The deliverable to be deployed in our infrastructure.
  • We have attached a sample data for you gain a better understanding of the data. 

Project Overview

  • Posted
    February 27, 2017
  • Planned Start
    March 16, 2017
  • Delivery Date
    April 06, 2017
  • Preferred Location
    From anywhere

Client Overview

EXPERTISE REQUIRED

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