Organizations need more than their customers` satisfaction. To reach consistent success vendors and manufacturers, as well as service renderers, must take in that their customers` satisfaction and the interactions between both parties have some emotional impact. Companies aim at increasing their profits by the encouragement from positive and happy feelings from users.
The usual practice is to gather negative judgement so as to assess the positive insights from customers. However, opinion mining APIs cannot disregard feelings of indifference. Review authors who show indifference will surely move to other organizations in search of a better experience. The opinion polarity allows companies to gauge neutral judgement as well, so as to make improvements and keep customers´ loyalty.
Text data from media sites, surveys and forums generate countless comments that demand tech tools for faster and more efficient analysis. The best way to analyze sentiment and opinion is through AI (Artificial Intelligence) and ML (Machine Learning), which generate algorithms to analyze, spot, extract and classify sentiment and emotions from reviews. The efficient tool is Sentiment Analysis API.
Zyla Labs Sentiment Analysis API provides organizations and developers with key aspects of a brand´s product and/or service, extracted from the subliminal intentions and reactions regarding those aspects. By combining intentions and reactions in conversations the API becomes an outstanding tool for analyzing customers` feelings.
This is a relevant tool for classifying analyses detected in text data. By inputting a certain sentence you can pulse the sentiment beneath the review. Positive and negative feelings are easily identified. We are concentrated on indifferent judgement, as this reflects the risk of losing a customer, who will certainly replicate his indifference and multiply his feeling in other users.
Likewise, Intent Analysis complements the tool by spotting the intention behind the text, and tracking its source (opinion, news, suggestion, query, etc.). Companies can grow and gain prestige if they consider people`s feeling about products and services. But…mind! Don`t discard insights with indifference. On the contrary, they are the key element to improve and adjust.
Comments from users who just express the product or service is “ok”, or even worse: no comments at all, give the impression of an item that is below the expectation. It means it simply did not awake the users` interest to leave a constructive judgement.
How Relevant Is To Detect Customer Indifference?
Customers are the most precious asset for organizations. To inspire interest and satisfaction with what you offer them is of prime importance. You need reviews, whether positive or negative, to promote your products and therefore to increase your sales. In this way you create a sentimental bond with your customers.
Zyla`s Indifferent Opinion API does all the toil for you. They monitor texts so as to identify the predominant emotion in customers. It will help you understand what users think of your organization and products or services. You will know if their insights can foster your brand, or if they are indifferent. You will also find out if the analysis shows that reviews promote, detract or are emotionless. The challenge is yours to use indifferent insights so as to promote improvements.
Zyla offers several options to satisfy the various needs. You can even try using the API to check its efficiency before you subscribe the contract. If the functionality does not meet your requirements, you can order a version tailored to your needs. This tool will definitely guarantee growth and development for your company, as well as happiness and satisfaction for your buyers.