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              - Archived Lectures *These may not cover the latest advances in the field
 - 
                                
                                1. How to design and evaluate a direct marketing test
- Mr. Nigel Hathway
 
 - 
                                
                                3. Advanced statistical techniques of direct marketing tests
- Dr. Barry Leventhal
 
 - 
                                
                                4. Campaign optimisation
- Mr. Paul Rowson
 
 - 
                                
                                5. How to build a model to improve response
- Dr. Stuart Clarke
 
 
Printable Handouts
Navigable Slide Index
- Introduction
 - Agenda
 - Objectives
 - Response analysis
 - Steps in building a targeting model
 - Modelling methodology
 - CRISP-DM
 - CRISP-DM processes (1)
 - CRISP-DM processes (2)
 - Phase 4: modelling
 - Modelling techniques
 - Recency, frequency, monetary value (RFM)
 - Basic idea of RFM
 - RFM process
 - RFM results
 - Benefits of RFM
 - Problems with RFM
 - Classification trees (1)
 - Classification trees (2)
 - CHAID
 - CHAID tree example
 - Benefits of CHAID
 - Algorithms and vendors
 - Regression analysis (1)
 - Regression analysis (2)
 - Linear regression
 - Logistic regression
 - Response modelling
 - Loan response example (1)
 - Loan response example (2)
 - Loan response example (3)
 - Benefits of logistic regression
 - CHAID and regression
 - Logistic regression: vendors
 - New approach to response modelling
 - Structured risk minimisation
 - Benefits of SRM
 - SRM: vendors
 - Model testing and evaluation
 - Validation
 - Gains curve (1)
 - Gains curve (2)
 - The random model curve
 - Gains curve and random curve together
 - Decile analysis (1)
 - Decile analysis (2)
 - Decile analysis (3)
 - Which technique?
 - Main points of RFM
 - Trees or regression? (1)
 - Trees or regression? (2)
 - Case study
 - Background
 - Data
 - Initial regression model
 - Reduced variable model
 - Cade study: decile analysis
 - Gains chart
 - Conclusion
 
Topics Covered
- What is response analysis?
 - The steps in building a targeting model (CRISP)
 - How analytical techniques such as RFM, classification trees and regression analysis can be applied in order to identify the best targets for a direct marketing campaign
 - Choice of software and modelling technique
 - Model testing and evaluation
 - Case study example
 
Talk Citation
Clarke, S. (2008, May 22). How to build a model to improve response [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 4, 2025, from https://doi.org/10.69645/JNHK7522.Export Citation (RIS)