The New York company also found that posts shared on social media. That are not associated with topics such as entertainment, fashion, health, retail or technology produce a greater response from users , especially if they are posted spontaneously (not scheduled). Supported by data.

The SocialFlow cell phone database report also establishes that posts centered around a data-driven theme, published according to predictive technologies, achieve a 25% greater response from users .Than posts that are scheduled for specific times of the day.

In addition to the insights already revealed, the SocialFlow analysis revealed three other findings:

• Scheduled messages accounted for 1.5% of total content
• Real-time posts account for 6.9% of the total
• Messages based on data-driven programming rose to 91.6% of content

In this sense, brands are ready to rethink their Social Media strategy, and align it with the twd directory advantages that predictive technologies provide. Likewise, this study marks a new horizon in terms of loyalty , due to the success of algorithms on social networks and the engagement they generate.

Finally, it is worth noting that SocialFlow’s revelations were made possible .By collecting data from Facebook, Google Plus and Twitter between April and July of this year.

Among the providers  data management platform: what it is and its benefits of this information are Walmart. The Guardian. Nickelodeon, PepsiCo, etc., and they gathered 1.5 billion posts with an audience of almost 361 million people.