Predictive Analytics and Consumer Loyalty

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.