Understand what your customers really think
How we can help you
Our data scientists can help you understand:
- What your audience pays attention to when making decisions in the buying journey.
- What’s driving the conversations in your industry and how you can capitalise on those trends.
- Prospects seeking product/services recommendations on social media in real-time.
Our sentiment analysis service
Social sentiment analysis
Our analysts can deconstruct your reputation into the exact words your customers are using. Find out how they describe their experience with your brand. Then leverage those findings in your social media and content marketing campaigns. We will help you capture customer feedback and understand their attitude towards your products and services. Then you can take action before any potential risk to your brand reputation.
We’ll scale your social listening capabilities with the help of data science. You can easily access the important insights. Maybe you want to discover their attitude towards your competition? Or their current needs, wants and preferences? We can also help you determine and engage with your brand’s biggest social advocates and most vocal critics. These insights will help you devise better marketing messages. You can then incorporate customer feedback into product development.
Frequently Asked Questions
Sentiment analysis is the process of analysing text to understand the broader meaning. It tells you if people feel positive or negative towards your brand. Modern sentiment analysis systems use natural language processing to identify keywords/phrases. It understands the more subjective meaning of content, such as product reviews and social media posts.
Sentiment analysis provides a measurement of brand reputation. With the right system in place, you can diagnose the causes of positive and negative sentiment. This reveals how people feel about your brand. It gives you a system for improving sentiment and brand reputation.
Social listening is a subset tool in sentiment analysis. It monitors social channels for mentions of your brand name and other relevant phrases. When these phrases are detected, your sentiment analysis system analyses the content. It then tries to understand the broader meaning of the message: positivity, negativity and the key points raised.
Yes. Twitter is a great network for running sentiment analysis, due to the conversational nature of the platform. There are plenty of existing sentiment analysis systems on the market designed for Twitter. Plus a range of open-source datasets for Twitter that you can use to build your own system.