Influencer marketing is completely digital, and one of the biggest advantages digital media allows for is the collecting and evaluating of data. Like, so much data. Anything you might want to know about your audience and your content is available if you know how to read the analytics.
The data that can be compiled when evaluating digital media is a key tool used by brands, companies and organizations in understanding and developing marketing campaigns, introducing new products or services, and everything in between.
A relatively new type of data analysis is sentiment analysis which is, as you might have guessed, an examination and evaluation of people's emotions about a given product/brand. In fact, this type of analysis is a natural language processing (NLP) technique that goes a very long way in understanding your customers' needs.
This is a really great way to show how your audience is connecting or not connecting with the content you are sharing. As a brand, business or livestreamer, your audience is everything. The people who consume your content have the ability to either make or break it.
For instance, as an influencer, you need your audience to feel connected to your content when you are promoting a brand or a product. The more people that your content reaches and the better results you get from campaigns with brands, the higher likelihood you have to work with them again. And one way you can evaluate this is through sentiment analysis.
Here are a few fun facts about sentiment analysis:
1. Sentiment analysis is a marketing tool that analyzes the sentiment behind statements about a given brand, product or service.
2. Sentiment analysis uses machine learning and text analysis.
3. Essentially, this kind of analysis is data mining to determine feelings associated with your brand or platform.
4. The process of sentiment analysis is to gather data, clean it up, use a sentiment analysis tool and then understand the findings.
Have you used sentiment analysis for your content?