Social media analysis and marketing

Share this post:

If you use social media in a marketing environment, you will probably access the analytics that comes built in to each channel. But are you getting the full picture?

Ignore, Likes and Shares at your peril, but they may not reveal the whole story of how people are reacting to your brand, or a brand that you are promoting.

Social Media analysis has matured enough to allow an analysis of how people really respond (via comments and mentions) to a marketing event – e.g., the launch of a new product. In addition, new cognitive technology now allows marketers to aggregate and measure sentiment, cross-channel, from social media.

All this has happened in a relatively fast time (in human years, twitter is still in its infancy!). However, smart marketers have not been slow to seize on the benefits of this new kind of social media analysis in order to create more effective campaigns and other initiatives, targeting different cohorts.

To find out more about the impact and the implications of this development in social media marketing analysis, read this article. You may also want to sign up for the tool referenced in the article: register here to get 30 days’ free access to IBM Watson Analytics for Social Media.


Watson Analytics

More Analytics stories

10 Questions regarding SDG to the company’s management and board

We have all together manged to create the most serious sustainability deficit and our greatest challenge is the ecological debt – a dept which we are running up by overusing and depleting our natural resources and thereby threatening our ability to meet the needs of future generations.  Worldwide, the strains on key resources, from fresh […]

Continue reading

New server platform with plenty of power under the hood – and future-proof security

The shutdown of companies and nations during the pandemic has opened many people’s eyes to how vulnerable a modern organization can be. Not only when fundamental assumptions change, but also when habits change in the wake of a crisis. There is little doubt, for example, that working from home and a widespread use of online […]

Continue reading

The convergence of operational and analytical data

As expected in the first quarter of the year, there are many “top trends for 2021”. This year, I am reading these with a greater focus than before looking for clues of what may happen post this pandemic.Although I have seen some interesting predictions, like Hyper / Full automation using for example neuromorphic computing, emulating […]

Continue reading