A guide to AI Powered Consumer Insights and Brand Analysis Tool

Customers frequently share their feelings toward brands either thru customer support interactions or via social media post and reviews. Monitoring this sentiment is an important part of any business association.

It is the fundamental to understand consumers, and conduct a brand analysis to know how they perceive your brand. Also it provides a sneak peek into the market research, reflecting the scope of improvement if any.

Many companies already use consumer insights platforms to address direct and indirect feedback and to do brand analysis. But with millions of comments collected from digital channels and survey programs, it’s essential to know how can the unstructured data be processed into actionable insights? Here, the real strength of AI-powered Consumer Insights is marked out. Let’s see how.

AI-powered sentiment analysis tool keeps tracks of what customers say about your brand. The opinions expressed help to identify the emotional tone of the audience.

This type of analysis through marketing efforts extracts deep insights along with meaning from many sources of text, like surveys, reviews, public social media, and even articles on the Web.

What is Sentiment Analysis?

Sentiment analysis powered by AI (natural language processing) automatically conducts market research and senses the emotions and opinions by classifying a given text as Positive, Negative, or Neutral.

How Sentiment Analysis works with Artificial Intelligence

Sentiment analysis powered by AI automatically senses the emotions and opinions by classifying a given text as Positive, Negative, or Neutral.

Earlier Companies followed the conventional methods, such as surveys and other marketing efforts to find the sentiment and understand customers' feelings about their products. But with huge amount of data it becomes difficult to analyse the pattern and predict the sentiment. The traditional approach doesn’t assure the accurate customer engagement with the brand. It requires a manual work hence time-consuming, and the results are susceptible to a high degree of human error.

AI powered consumer insights tool- sentiment analysis addresses all the above problems so that you can get a complete and reliable conclusion with a simple one time click. These tools like Binfinity, consumer insights platform helps you gauge how customers feel about different corners of your business eliminating reading numerous customer comments at once. Binfinity, automates the entire process, drill downs into various customer segments of your company to gain a greater sense of sentiment.

AI-driven sentiment analysis has a number of other benefits in addition to timesaving and generating reports.

• Understandings for Improving Products/Services

• Result-oriented Strategies

• Monitor Customer’s Sentiments

Real Use of Sentiment Analysis

Sentiment analysis can be implemented in real time to streamline everyday activities:

1. Social Media Listening

2. Customer Service

3. Brand Monitoring

4. Market and Competitors Research

5. Employee Feedback

6. Analysing Survey Responses

7. Preditice Analysis

8. Customer journey or customer behavior

Sentiment analysis for customer feedback

Customer feedback plays a vital role in growing your brand positioning. A sentiment analysis method classifies user feedback as positive, negative, or neutral by using a large dictionary of words.

The sentiment analysis method uses a sentiment score to classify user feedback. Each of these words has a sentiment score attached to it, either positive, negative, or neutral. Positive feedback gets a higher sentiment score, and negative feedback gets a lower score.

Sentiment scores support companies to understand what kind of emotions their brand evokes in a group of people, making it easier to figure out how customers feel..

Sentiment score detects emotions and assigns them sentiment scores in the range from 0 to 10, from the most negative to the most optimistic sentiment. The score can be how positive or negative a perception is. You can also use it to understand the overall mood of a piece of text.

Measuring sentiment is a relatively new concept and there are several ways to measure it. The simplest method is to take the average sentiment across a number of responses, and this is often used as a gauge for overall sentiment. For determining overall sentiment towards a brand positioning, taking the average sentiment of several responses is often used as a gauge. Tracking the average sentiment over time can provide information about how customers feel about a business.

Binfinity and Sentiment analysis tools in the clutter.

There are few AI powered tools in the market for text analytics and sentiment analysis. Among them some have limited feature, while few require high level of understanding making a complicated tool.

Binfinity is comprehensive and neat tool, focused on making everyday task easy with its user-friendly UI.

Its capability to handle huge dataset and manage multiple projects at one go is an added advantage therefore has been accepted globally.

There are some crucial features that you don’t get with available APIs in market, and this is where Binfinity differs from others. It has the human touch along with AI. With this, the software is powerful, effective, reliable and this produces accurate analysis for our clients. Binfinity, a tool beyond brand audit, capturing the strengths and weaknesses of the business, identifying opportunities, and allowing business leaders to frame spot-on brand strategy.

Read more about examples of AI in customer perception