88% of consumers trust online reviews as much as personal recommendations. Then don’t ignore consumer sentiment. InData Labs’ top priority is to arm you with a unique custom solution to help excel at building your online brand reputation.
Customers have made social media platforms their major venue for sharing opinions. And that is the largest source of consumer sentiment data that can aid your business in designing breakthrough products and better service provision.
Consumer sentiment analysis is a critical component of social listening. It lets you make an instant health check of public opinion about your brand and verify if it is in the green or the red zone.
We help organizations of different sizes tap into the capabilities of machine learning for open-text responses and brand conversations to identify and monitor how optimistic customers are about a brand.
You can also use our solutions for benchmarking the strengths and weaknesses of your brand against competitors and detecting reputation risks before they break loose.
Consumer sentiment analysis solutions by InData Labs combines sophisticated linguistic algorithms and machine learning. Their use will help you to determine whether a piece of writing is positive, negative, or neutral. And they will show you whether a consumer happy, sad, distressed, satisfied, etc.
The value for a business is in the solution application options to discover how the target audience feels about a particular product, trend, topic, brand, and more. That can save companies a lot of time and resources otherwise spent on routine research and cold calling.
Our clients use our sentiment analysis solutions within their organizations to facilitate such tasks as:
The Client – an international game developer and publisher with an audience of over 150 million. Our team built for the Client a customer feedback tool that allowed to timely download and analyze all the reviews from YouTube and forums.
Now the Client’s team has all the necessary information at hand as soon as the new release goes live and can react to their players’ feedback as fast as possible, avoiding a complex review retrieval process.