Strategic customer relationship marketing and re-intermediation models in the insurance industry

摘要: This research uses a case study of UK car insurance company to investigate the relationships among price aggregator (re-intermediation) purchase channel, purchasing habits, marketing response models, mix variables, business and strategic customer relationship marketing. The introduction aggregators within industry has changed environment substantially in terms above core aspects. explores following questions. How do insights map particular contexts its drive for sustained growth profitability? does re-intermediation relate planning implementation via mix? can results help reposition with regards future profitability through an integrated model? performance existing distribution channels been affected by advent comparison models? A wide range statistical models data mining tools were applied this research, including vector autoregressive (VAR) modelling, general linear regression, quantile autoregressive, moving average; average, GARCH, logistic regression; decision trees neural networks models. also scenario testing model understanding hypothesis framework. These methods allowed researcher better understand new enriched environment. By way main theoretical practical contributions knowledge, provides in-depth knowledge problem construction Integrated Business Re-intermediation Model (IBRM) that enhances x, companies general. first effects reintermedation which compares prospects pre- post-joining aggregator. analyses show channel significantly interact other influencing retention rates life time values available hence profitability. Insights from IBRM could be used develop related businesses further.