Social media doesn't have to rely on

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Predicting the right timing for posting on social media may seem like a secondary aspect, but it isn't at all. Meeting the audience at the right time, when they are most receptive, is essential for marketing that aspires to real-time interaction. Reducing success to just posting times can turn out to be a big mistake. There are tools based on machine learning and artificial intelligence that suggest both when and how.

An example. Do you have a doubt about the color to choose for the image of a post? There are "historical" analysis tools capable of predicting which of the different options will most attract a given audience segment. third parties  Turkey Phone Numbers 32 Million List to provide reliable analytics and estimates. Rather advanced tools are now found within the same platforms. In 2018, news appeared in some famous newspapers of the existence of a phantom predictive analysis function on Facebook which would have analyzed user behavior (interests, likes, etc.



And would have used the information thus obtained to direct the adverts towards the targets. chosen. Rather than targeting a general audience, the ads would have targeted potentially more "sensitive" customers. The news of Zuckerberg's "secret" tool, known as loyalty prediction , was picked up and relaunched by many important magazines , sparking a mainly ethical debate. In practice, the social media was accused of selling customer data to companies.