How Can Big Data Increase Your Customer Loyalty?


For the data, first, the customers are to be segmented according to the business requirements and their behavior. Big data helps in contacting the right customer at the right time by knowing their buying cycle. The need of the customer information is only to deliver to the right customer, at the right place and time.

Buyers/Customers are most important to the business. It has become more of a customer-centric. It is essential to know the customer's opinion and experience in the businesses services and products. For improving customer loyalty and experience, businesses need to know about customer interests and their needs.

How Big Data can be used to improve customer loyalty:
For the data, first, the customers are to be segmented according to the business requirements and their behavior. Big data helps in contacting the right customer at the right time by knowing their buying cycle. The need of the customer information is only to deliver to the right customer, at the right place and time.
There are many factors to understand the customers to consider making a pattern like:

• Gender
• Age
• Employment status
• Income level
• Social media activities
• Geographic location
• Interests
• Lifestyle
• Past Purchases
• Their demand for a product etc.,

Strategies that can help big data to drive customer loyalty:
The Strategies of the Big Data should blend into the local environment to understand the customers' interests and preferences as it changes frequently, the strategies should adjust to these changes. Big Data should have a 360-degree view of the customer to understand them and predict their needs.

Sources of data:
A few organizations are utilizing colossal information and client devotion projects to open new income streams and adapt the information they're gathering. We've seen this in the media communications industry where organizations are utilizing geolocation and system information to track and upgrade arrange utilization at the supporter level expanding the nature of administration.

It likewise enables organizations to make new offers for their supporters in light of their geolocation information. Retailers are starting to adapt client information by making client bits of knowledge bundles that can be sold to merchants and providers for new item advancement and to anticipate future interest for an item.

For delayed services:
Many customers experience delayed services and go through a bad service and look for other services. Big data can help in learning about the areas where the service is suspended and bring in solutions real quick and retain the customers and drive them to become loyal. You can take a look more at the blog post here to learn how you can monitor your project and prevent it.

If there are repeated complaints that affect the customers, big data gives you the solution for that particular problem with the data that is available. Now the time will not be wasted with the assumptions and improves customer loyalty.

Automation of process of the customer:
Big data has a method which detects the loyal customers. The process consists of
a) Automation of data collection and storing it
b) Getting the insights of the customers
c) Deliver a reward point or a personalized product based on past purchases, the channel of engagement, etc.,
d) Tracking the metrics and evaluating the change in the customer behavior, whether they are loyal or not.

Timely Promotions:
Buyers are overpowered with special offers consistently, frequently from an assortment of contending devotion programs. To be separated and viable pick up considerably, advancements need to fit into a shopper's purchasing propensities and way of life.

By checking deals information, retailers can realize when and how clients usually reclaim codes with a specific end goal to convey the correct offer at the ideal time, accordingly improving the probability that advancement will be sufficient.

Regularity can be entered in seeing how and why clients draw in with a brand. It can be especially essential for retailers with various areas serving a similar client, for example, a bank or eatery network that has distinctive branches serving somebody on their drive versus meal break or end of the week trip with the family.

Use cases of big data for customer loyalty:
According to Terrificdata.com – about Amazon predicting buyer behavior:

Amazon is using data mining since its beginning. Also to the techniques that we have discussed, Amazon also employs the analytics of the Big Data to manage their vast amount of retail items, i.e., over 1.5 billion about the location of the object.

Atlanta Falcons:
They use big data for their GPS technology to determine the movements of the players and gives analyzed data to coaches to improve the efficiency of the players.

Southwest Airlines:
Southwest Airlines is famously known for its customer service. These airlines use speech analytics and communicate the data of the customers to the workers through KPI dashboards. They also collect social media data of the customers to provide customized service thus increasing customer satisfaction making them a loyal customer.

Bottom Line


Some enthusiasts only recommend their preferred brands to their friends and families. They become loyal and make others too as loyal customers. Big data helps in reaching those customers and create new strategies to maintain their loyalty and to attract new customers. Trends and buying patterns can also be recognized using significant data information about customers.


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