Predictive intelligence in customer loyalty

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In previous posts, some of the countless advantages of predictive intelligence and advanced analytics tools compared to traditional BI, descriptive in nature and eminently focused on the historical analysis of data and information , have been exposed . Advantages that are evident at all levels of the organization and that result in a better knowledge of the company's potential, a clear definition of the most profitable possible future scenarios for corporate interests and solid support for decision-making. decisions, with the consequent competitive advantage and increased benefits that all this entails. And, in relation to this potential increase in profits, it is essential to pay special attention to the role that predictive intelligence plays in the development of effective and successful commercial strategies, especially those aimed at achieving customer loyalty . Customer loyalty and predictive intelligence The main advantages that predictive intelligence provides for customer loyalty can be structured around four central axes for all commercial activity: an adequate and flexible segmentation of the target audience , a deep knowledge of the customer's needs , the monitoring of relationships between sales force and consumer and, of course, making the right decisions that increase their level of satisfaction.



Each of these axes presents, in turn, challenges and needs that the tools of predictive intelligence (mainly advanced analytics) are capable of satisfying in an absolutely optimal way: Predictive analysis tools allow us to advance the needs expressed by customers , providing exhaustive knowledge of their preferences and desires, and pointing out what decisions should be made to satisfy them, meeting their Colombia Telemarketing Data expectations and demands. To improve this offer of goods and services, adjusted to the wishes and needs of the client (not only the present, but especially those of the future), it is necessary to adequately segment the market and define the target audience in as much detail as possible. Advanced analytics tools allow, in addition to segmenting the market into different groups and consumer profiles, also considering each client as a scalable element in this sense; That is, they allow the customer's life as a consumer to be segmented into different stages , detecting variations in their needs and preferences over time to better adjust the offer. Constant monitoring of the relationship with customers is a key issue: the predictions made can change substantially based on new data provided, something that is critical for on-site support to the sales force.







When a commercial agent, for example, visits a client and the client expresses any sensitive preference that needs to be taken into account, advanced analytics tools allow it to be included in a new predictive analysis carried out in real time and adjusted to the new expressed needs. Finally, predictive intelligence has a strong prescriptive character: it is not limited only to designing possible scenarios, it also points out which decisions are most appropriate to make based on the moment and circumstances. There are technological solutions on the market such as the IBM SPSS predictive analysis platform. Apart from all this , to understand in greater depth the enormous possibilities offered by predictive intelligence and the new advanced analytics tools for customer loyalty, among many other matters of vital interest, we recommend the guide Predictive Analytics: the impact of prediction for an organization , a free resource that includes, in addition to the above, the illustration of these advantages through real examples of success.