Predictive Analytics and Consumer Loyalty

Using big data to target brand success and build equity has become valuable. Review the results of this predictive analysis research and assess how the loyalty rules were derived from this model. Was the classification of the consumers predictive or reflective?

Conclusion

TFM segmentation and setting loyalty levels were been relied on. The classification algorithms were applied based on the loyalty levels as classification categories and the selected attributes, compared the results and selected the best classification model in terms of accuracy. Then the rules of loyalty prediction were derived from this model, which expressed the correlation of behavioral features with classification categories and thus known the causes of loyalty in each segment. target customers were optimized with appropriate offers and services. The other benefit of applying the classification algorithms was to build an accurate predictive model for classifying new users by loyalty.