Predictive Modelling in Strategic MarketingThe preferences and predilections of the consumers, and their behaviour and choices are needed to be carefully analyzed as, ultimately, their purchase preferences will increase the market share of the company, maximize its profit and enhance sustainability the most important goal of the company. Dr. Purba Rao's book, through predictive modelling theories, focuses on identifying and profiling of target market segments, developing positioning strategy and brand personality, finding the consumer preferences, offering marketing strategies and delivering value to the customer. The predictive modelling theories discussed in the book help streamline the decision-making process, in order to efficiently target the preferred consumer segment. The book further delineates the decision-making process which is determined by the three approaches: Heuristic approach RFM analysis; Statistical approach logistics regression and conjoint analysis; and Data mining approach Chi-square automatic interactive decision. Software applications such as Excel, SPSS and Answer Tree are used to explain the theories clearly. The book makes use of several examples to elucidate how effective predictive modelling is in identifying the most probable buyer and in determining the market share of a new product. |
Contents
Basic Consumer Analysis 1223 | 12 |
RFM Analysis 2440 | 24 |
Logistics Regression 4162 | 41 |
Decision Tree Approach Combining Predictive | 63 |
Cluster Analysis 7885 | 78 |
Conjoint Analysis 86105 | 86 |
Contact Centre Industry 109115 | 109 |
Software Asia Inc 116125 | 116 |
Credit Card Industry 126135 | 126 |
137139 | 137 |
| 143 | |
Common terms and phrases
application application software Arjun attributes attrition ayurvedic card companies cardholders casual dining cent CHAID Chi-square competitive focus market composite index computed conjoint analysis considered contact centre contact centre industry credit card customer account customer segment database datafields decile decision tree decision tree approach dependent variable dichotomous Diner draw external funding estimate factor Figure frequency gap analysis Harit hold-out cards hybrid cars identify importance ratings income Kendall's tau Likert scale Location logistics regression market share marketing campaign Matches my background Moderate technology monetary Monthlast needs number of employees obtained offer p-value pizza Pizza-company predictive modelling predictor variables preferred customer probability of purchase questionnaire respondents response rate retention programmes RFM analysis sample satisfaction ratings satisfied significant social enterprise social entrepreneur solar water heater statistical survey Tanuleen target market target population target variable Total amount spent Total number Triple bottom line utilities Vishnu willingness to purchase



