Social networks are increasingly important in the marketing strategies of companies. Since this channel is ideal for distributing content and achieving consumer engagement. But just as important as developing a new campaign on social media is measuring the results, and for that. Analytical tools become essential. As the use of social networks becomes more sophisticated. Interest in these analysis tools also grows, and good proof is that, globally. A growth of 27.6% is expected in this industry for the next five years. Thus, if in 2015, social network analytics moved 1,600 million dollars it is estimated that in 2020 it could reach 5,400 million, according to a study by markets and markets.
The Transition From More Traditional Marketing Methods to Digital
This is mainly due to the massive increase in social data available today. A consequence of a growing number of active users on social platforms. On the other hand, the transition from more traditional marketing methods to digital. Ones across all kinds of industries also explains the greater weight of these tools. That measure performance in social networks. In addition. The report points out some of the Cuba B2B List opportunities that are expected to shape. The future of the industry, such as the popularization of cloud services or the high. Percentage of adoption of analytical tools among small and medium-sized companies.
The Complexity of the Analytics Flow Will Be the Most Likely to Slow
On the other hand, the adoption of these tools also faces multiple challenges within companies. Mainly due to the lack of technical skills and knowledge on the subject. The complexity of the analytics flow will be the most likely. To slow down the growth of this industry, and to combat this. Companies must define how to manage the different formats of data coming from different social platforms and blogs (for example, some of that data may be in the form of text, and others in the form of images or videos. And to generate valuable information from all of them. The solutions of the analytical tools themselves will also have to become more flexible).