What is Topic analysis?
Topic analysis in social media is like a treasure hunt for specific themes or keywords that people are talking about on social media. It’s like sifting through all the social media posts out there and picking out the ones that are relevant to what you’re looking for. We use fancy techs like natural language processing and machine learning to help us find these relevant posts and group them together. This helps us understand what people are saying about a certain topic, brand or trend and can give valuable insights to help improve marketing strategies, track brand mentions, monitor competitors etc. It’s a great way for marketers and PR specialists to stay on top of the conversation and stay ahead of the game.
Why is Topic analysis important?
Think of AI-powered text analytics like having a super smart, tech-savvy friend who can understand and analyze all the text data you throw at them. It uses natural language processing (NLP) to make sense of all the social media posts and web content, surveys, live chat history, and reviews that you have. This type of technology is like having a secret weapon that helps you make better business decisions. Instead of just looking at likes and shares, you can actually understand what people are saying about your brand, products, or industry. It’s like having a direct line to your customer’s thoughts and preferences. With this information, you can make adjustments to your marketing strategies, improve your products, and stay ahead of the competition. Imagine you’re a fashion brand and you want to know what people are saying about your latest collection, with AI-powered text analytics, you can see if people are loving it or not, and adjust your strategy accordingly. It’s like having a crystal ball that lets you peek into your customers’ minds, see what they’re talking about, and make informed decisions accordingly.
What is an example of Topic analysis?
An example of how a company in the Fast-Moving Consumer Goods (FMCG) industry might use Topics analysis is as follows:
A food and beverage company wants to track customer sentiment about their new line of organic, non-GMO cereal. They set up a Topics analysis to track mentions of their brand and the keywords “organic cereal” and “non-GMO” across social media platforms. The Topics analysis automatically segments the data, filtering out mentions that are not relevant to the cereal (e.g. mentions of other products or organic foods in general). It then categorizes the remaining mentions by topic, such as “taste,” “health benefits,” “price,” and “packaging.” This allows the company to quickly identify common themes in customer feedback and make informed decisions about future product development. Additionally, by using the purchase intent feature, the company can also identify posts with purchase intent and study them to improve its marketing strategy.
What you can measure with Topic analysis
Topics analysis is a pretty cool tool that helps you understand what people are saying about your brand online. It can help you figure out what people like and dislike about your products, and what they’re saying about your competitors. It can also show you which people are the most influential in your industry, and where they’re located.
It can also give you a sense of how many people are talking about you, and whether that number is going up or down over time. You can even use it to see if people are more likely to buy your products based on what they’re saying.
All in all, Topics analysis is a great way to get a handle on what people are saying about your brand and make decisions based on that information.
Read more about Topic analysis
How L’Oréal aligns its social media strategy using Palowise
How Nestle measures campaign success and manages its brand reputation
How Tommy Hilfiger uses Palowise to discover & analyze influencers
- #1:Use the industry's top artificial intelligence to handle the heavy work for you and gain insights in minutes.
- #2:Receive an alert if something major occurs near your customer.
- #3:Identify the influencers, material, and messaging required to generate success in real-time.
- #4:Manage cross-channel campaigns with multidisciplinary groups and infinite channels.
- #5:Monitor engagement and sentiment to get valuable insights.
- #6:Monitor trending topics of discussion among users.
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