USING BIG DATA ANALYTICS FOR CUSTOMER RETENTION
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 solutions
according 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.
"It is very informative as a thing like BIG DATA is gaining importance in retaining customers. AND no doubt people are using it. History is inevitable.
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