How Personalized Recommendations Harness the Power of Data

[nurmohammadkhan]

Taking a further step forward in this direction, we can talk about a real co-creation of experiences , which gradually take shape during the opportunities for meeting and exchanging ideas between the actors involved: brands, consumers, influencers, and anyone who participates, in various capacities, in the conversation about a given product or service. The positive evaluation of the experience had in all of those moments defines the value perceived by the consumer.

This is where personalized recommendations play a fundamental role: by hong kong whatsapp resource exploiting the knowledge embedded in the data – qualitative data above all – produced within these co-creation processes, they are able to carve out a privileged space within a bidirectional and polyphonic communication flow. And the more they maximize the informative potential of the data, the better personalized recommendations can intercept real needs and desires.



New call to action



Even though they are based on particularly sophisticated digital technologies, personalized recommendations work with a rather intuitive mechanism: they show a selection of suggestions relating to products and services at different touchpoints (strategically distributed on websites and social networks) . This selection, designed uniquely for that particular visitor, is increasingly the result of an algorithm.

In other words, the more personalized recommendations exploit the power of data, the more relevant they become for the user and prove effective in guiding their purchasing choices. At the heart of modern recommendation activities, supported by artificial intelligence , machine learning and predictive analysis, are all those data that, appropriately read and understood, express a specific user behavior.

It is in this sense that personal recommendations end up having a more or less direct impact on the entire customer experience .