As e-commerce takes center stage globally, businesses are looking for ways to gain and retain prominence online. How to create brand awareness, sustain visibility, gain, and convert leads online is a priority for marketing executives. Equally important is gaining insights into customer behavior and preferences as a way of helping managers respond appropriately.
Computers that use Natural Language Processing or NLP understand and interpret human language in a way that allows wholesome analysis. Here are 5 ways using NLP can improve customer experience through automated support systems and comprehensive analytics across language barriers.
Sentiment analysis for sales and marketing
Digital marketers formulate their strategies based on consumer behavior and emotions. Collecting this kind of data in real-time using precision tools is key to success in driving sales growth. Rosoka provides excellent multilingual software with next-generation NLP for opinion mining in marketing that targets social media analysis and extraction.
Deploying NLP on this software delivers valuable data on customer insights through versatile sentiment metrics and a salience score system. NLP can help marketers understand customer emotions and their feelings towards your brand. With this wholesome understanding, you can make informed decisions and strategies to power your business growth.
Superior credit scoring
Banks require credible predictive analytics solutions for scoring creditworthiness of their customers reliably and discreetly. Customers in a bid to secure funding may not reveal their true credit score leading to risk exposure for the bank. Using NLP to mine the web for crucial information on prospective credit applicants, the bank can safely calculate the risk factor in lending to a particular customer.
NLP assisted credit scoring can also help prospective customers without a credit history to qualify for lending. This widens the range of your customer base to include customers you would have declined to accept for lack of verifiable credibility.
Accurate feedback on TV advertising
TV advertising, although a favorite of many businesses, is quite expensive to sustain. To make it worth the cost, marketers must measure its correct effect on the target audience. It is important to find out how the audience appreciates and relates to specific aspects of a commercial and if it evokes instant brand recall.
Using NLP Text Analytics on social media traffic can provide comprehensive insights into customer response to aired commercials. This can help the business move in tandem with the customer's feelings as well as preempt their needs. With correct insights, you can create relevant commercials that grow your sales.
NLP search autocomplete
Most times, many new customers abandon their engagement online because they have incomplete search terms. This can be frustrating to customers and a big loss to the business when products or services are not easily accessible online. Search autocomplete is a feature that can help solve this problem easily if incorporated into your business website.
Search autocomplete is based on NLP and helps your search engines understand probable terms around keywords. This makes searches easier and faster for your customers and enhances user experience.
Survey analytics
Businesses conduct surveys to gauge their performance in the market or for purposes of launching new products. For a business with a global reach, surveys can turn up massive amounts of data in multiple languages that can overwhelm. An affordable, fast, and more efficient way to analyze your data would be deploying NLP systems.
Using multilingual NLP systems will not only deliver accurate analysis but will also save you tons of dollars in staff salaries. With properly set algorithms, you can extract and manipulate any specific information from surveys to power your business growth.
