This website stores cookie on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics about our visitors on this website. To find out more about the cookies we use, see our Privacy Policy.

The Marketing AIvolution Blog

Unlock business potential with research-driven insights

August 1st, 2021

AI-led Deep Sentiment Analysis: Another Game Changer?

Image placeholder Pyxis One

Understanding consumers’ sentiment is not an easy task. They could say one thing, but do something absolutely different. Decoding their perception in today’s ever-evolving market is complex but predominantly important. 


Why, you ask?


According to research, almost 80% of buying decisions are made by consumers based on emotions. And understanding these emotions can foster deeper emotional connections across all key moments with customers. This can increase their lifetime value while also decreasing their likelihood of switching brands. 


But this task is easier said than done.


There is always a need for context when marketers begin analyzing consumer communications. Be it analyzing their engagement in ad campaigns or consumer research, marketers spend thousands of hours decoding consumer perceptions. 


And we don’t blame them. 


Think about it, understanding what thousands of consumers mean in thousands of contexts – sounds impossible. It is extremely arduous for human teams to read every qualitative answer to arrive at accurate analyses on time. AI-led feeling analysis can bridge this gap between marketers and consumers. 


Meet the “Feeling Efficiency AI ”


A combination of Natural Language Processing (NLP) and Neural Networks (NN) algorithms helps the marketer decode sentiments behind vast amounts of unstructured data. There are numerous ways AI is more effective than human-based teams. The advantages of AI-led research are: 


Accurate and Precise: 

It’s practically impossible for marketers to do a word-by-word analysis of everything a customer says or communicates. With NLP, AI can analyze latent emotions in consumer communication. 



Rich and Actionable: 

Not only are Feeling AI-powered insights accurate, but they are also incredibly actionable. It enables researchers to effortlessly analyze human emotions and subconscious behavior. Insights generated from this analysis can be interpreted and visualized for agile decision-making.



Many times, humans unconsciously allow personal biases to creep into their consumer data analysis. It may not be intentional but it results in inaccurate insights. Feeling AI removes the inherent bias of a moderator or respondent. 

AI systems are impartial in their analysis, thereby providing the marketer with accurate unbiased information. 



Despite the complexity of tech involved, NLP and NN-based algorithms can easily be scaled across different consumer research methodologies. Remotely generating consumer insights, faster research delivery, and real-time response analysis are some of the features that make AI-based research better than traditional methods. 

Be it analyzing the likelihood of a customer recommending a brand to a peer (NPS), or measuring website health – accurate feeling analysis leads to successful research. Following are the researches that can be conducted utilizing AI. 


Types of Research AI-Led Research



Tomorrow’s Sentiment Analysis, Today.

The ability to leverage consumers’ emotional attributes to recognize and exploit opportunities is one of the biggest, most important opportunities for companies going forward. AI, today is the biggest enabler for brands in becoming a more consumer-aware company. What’s in it for brands? Increases CLV, customer loyalty, and a better brand image. And we couldn’t be more thrilled to help you on this quest. 


Stay tuned for our next AI-volution blog. Shoot us a demo if you want to see all of this in action.

Image placeholder Blogs
Tagged in:

Share Article

Recent Blogs

AI-led Performance Management, Blogs

Explained: Computer Vision & Building Better Brand Experiences.

By Pyxis One, October 12th, 2021

Imagine you saw a really cool dinner jacket somewhere, and since you were in a hurry, all you could do is click a picture of it    Now, if your life was a magical movie, your fairy godmother would leave the same dress near your house

Read More ...

Why?! Why do consumers behave the way they do?

By Pyxis One, October 6th, 2021

Okay, you have finally cracked the code You have optimized everything in your power; your media plan, the bid & budget, ad sets, channels, and even the coffee machine next to the stationary!  It’s showtime! You can’t wait to

Read More ...

Dynamic Dashboard & its Impact on Modern Businesses.

By Pyxis One, September 30th, 2021

It’s that time of the week Again    You have to present a weekly review of the marketing slides which you were only able to wrap up at 3 AM (we know the pain) You’re all set, your presentation is choc a bloc with bar

Read More ...

Sign up to hear more from us.

Build your AI Infrastructure with powerful blocks that fuel your marketing.