USING BIG DATA ANALYTICS FOR CUSTOMER RETENTION

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With the inception of big data solutions, it has become easier for businesses to offer the best deals to customers. Processing and analyzing the datasets lead to the consumer’s profiles which result in personalized services. Big data trends are finally turning from ‘hype’ into a vivid ‘reality’. Big data solutions, today revolve around the customers’ data to reward the potential customers with the loyalty programs on the basis of their preferences.
In today’s scenario where ‘always-connected’ smart shoppers are demanding the retailers to integrate intelligent advanced tools and techniques into their business plan, big data trends are anticipated to turn upside down in the next few years. These tools and applications, while improving customer’s traffic can also help retailers in focusing on customer loyalty as well.
One of the most effective big data solutionsaccording to the 2016 big data trends was- big data cloud. And in 2017, big data cloud is helping almost every sector in improving customers’ engagement and deliver better products and services. Big data trends claimed that ‘Big’ thing of the 21st century is all about the big data cloud’. Cloud computing has become a basic necessity for almost every business these days to process, store, distribute and derive insights from the data. There are a number of strategies to be kept in mind while making strategies for customer retention. Some of the strategies include-
·         CUSTOMIZED DISCOUNTS AND SCHEMES-
Once the company starts leveraging data analytics tools and techniques, it can analyze insights from the user’s pattern about what customers like and dislike. By utilizing metadata information of the customer, the company can offer location- specific deals, promotions and discounts.
·         REDUCE SPAM-
By integrating advanced analytics tools into the mailing system can save the customers from repetitive irrelevant advertisements. These tools can collect information related to the consumers and provide valuable insights to the companies to send desirable and relevant content.
·         CUSTOMER INTELLIGENCE INSIGHT-
Collection and analyses of data on the basis of customer’s behavior sums up what CIA mean. Once a company analyzes the preferences of customers, it can make informed decisions by recommending right products to the right customers.
·         REAL-TIME DATA CAN IMPROVE THE EXPERIENCE OF CUSTOMERS’-
Social media offers myriad options for the enterprises today to engage in a more personal conversation with the potential customers. These models can help companies by providing customized landing pages, mobile apps to the customers by taking into the consideration about the clicks and buying patterns of the customers.
·         COMPLAINTS? ALREADY SOLVED! –
With the help of data analytics tools and applications, companies can predict or foresee the events. This helps enterprises in preparing themselves and providing faster products and services to the customers. The proactive approach helps companies in the retention of customers.
There are myriad big data solutions in the market today- But the effective utilization of several tools like big data cloud demand high – quality data management tools, data analysts, and data processing tools. In order to transform traditional methods into the advanced analytics models, it will require companies to embrace advanced models and also the challenges that come with the technology. 

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