Leveraging big data to optimize your customer engagement strategy

  

 

Data has become the core center of customer-centric enterprises today. Understanding customers is of utmost importance for all businesses to optimize their customer engagement strategy to reach heights. And in this digitally driven world, the best way to get to know your customer’s likes and dislikes is to leverage big data. It is important to know how to use big data to improve your customer experience. 

 

 

What is big data?

 

Big data is nothing but data that is very large, unstructured, and time-sensitive. In customer support, the entire data that is collected from all the digital devices and platforms used by your customers such as websites, social media, call centers, chat, etc. are the big data. Enterprises across all industries are relying heavily on this data to enhance their customer engagement strategy as well as experience. 

 

How can Big Data improve customer experience?

 

Customer experience is the fuel of every enterprise today and businesses are striving to enhance their strategies to meet the increasing demands. By leveraging big data, companies can provide them better customer experience which will eventually increase the CSAT rate. By using big data companies can examine the world from the customer’s point of view, organizations get to know their customers a lot better, which helps in minimizing the gaps that needed to be filled in their marketing strategies. Big data helps marketers improve strategy leading to better engagement through more personalized campaigns, communications, and stronger relationships. 

 

So improving customer experience through big data analytics takes a strategic approach. Here are a few ways in which Big data can help leverage customer data. A detailed customer database can be an asset for your business in enhancing your relationship with your repeat buyers too. 

 

1. Help in customer retention: Retaining an existing customer is the best way to boost your company's ROI. By leveraging the big data of your customer's past experiences, pain points, and purchases you can easily build a content engagement strategy. CRM like Kapture helps you in this process with some of its intelligent features like a secured cloud customer database. 

2. Deliver relevant content: Content marketing can drive a huge amount of organic traffic and also helps in enhancing customer experience very well. With big data, companies can extract real-time customer behavioral data. This will help writers in easily curating their content according to the buyer’s journey and in finding the right solution for their problems during the process. Businesses can monitor social media and other platforms to see what challenges their customers are facing and then pull out relevant content to share with them. This is a great way for improving the customer experience through data analytics. 

 

3. Performance analysis: A major part of the purchase and sales is shaped by support retailers. It is important to check your agent’s overall performance and keep track of their engagement record insights. Big Data will help you in keeping a record of their engagement and work records. 

 

4. Customer Segmentation: By Segmenting your customers based on demographics, age, preferences, purchase history businesses can understand their customers more. With cloud-based customer data management systems segmenting your customers is now everyone’s piece of cake. Harnessing the available big data and analyzing it accordingly it is easy for companies to create an organized customer segmentation strategy. This is the answer to how do you leverage data to develop a strategy and enhance the customer experience.

 

With the advancement in technology the needs and demands of customers also starts increasing at a fast pace. To meet up these high expectations and stand out in the crowd enterprises should ensure an effective customer engagement strategy. By leveraging big data to optimize your marketing strategies and scale your business to heights. 

 

 

 

 

 

Role Played By Big Data In Transforming B2C Customer Experiences

 Gone are the days when spreadsheets were used to manage the organization’s data. This is an era of Big data-huge amounts of data, a field that handles the data cost-effectively and efficiently. According to Saas Scout, the big data market is expected to grow by 20%. 

• In 1 second, each person is expected to produce 1.7 megabytes of data by 2020. 

• The data by 2020 is expected to reach 40 trillion gigabytes shown in a study by IDC.

• The big data analytics market by 2023, is expected to reach $103 billion. 

What is Big data?

It is a field that refers to high volume, high variety and high-velocity information assets. It deals with the data that keeps on growing exponentially with time and cannot be treated using traditional methods. This large volume of data can be both structured and unstructured data which flood the firms on a day-to-day basis. Big data lets you deal with massive amounts of data by systematically analyzing and extracting data.

Where is Big Data used?

It is already used in most of the sectors and making a huge difference with the help of predictive analytics. The sectors include IT, B2C customer services, healthcare, manufacturing, academic institutes, banking, transportation and retails.

Using Big Data to improve customer experience: Uber Case Study

It is an American company that offers vehicles for hire the major cab service in the world. The company uses customer data to know the most popular and most used services by the users. After collecting the data, Uber uses data analytics to observe the services which are used by the customers and which should be given based on the usage patterns. 

Ways Big Data is revolutionizing Marketing and Sales

Accurate Big Data predictive analytics:

• One of the reasons why data analysis is important for B2C Marketing is its accuracy in predicting the outcomes based on historical data. It helps the businesses and organizations to make better decisions and optimize their operational efficiencies and reduce risks.

Learn customer behaviour:

• To know how to improve customer experience with Big Data, the Big Data insights should be used to gain an understanding of the customers and provide them with a highly ‘personalized’ experience based on their preferences.

Fostering B2B sales with customer Big Data analytics

• Big Data analytics tools are used to understand the status of the services provided by the businesses in the market and how the customers are liking it by analyzing the thus increasing the sales leads.

Filter out irrelevant data:

• Not knowing the technique to filter out irrelevant data costs the business millions of dollars as they need to spend to take out the useful data from the heaps. Big Data tools help the companies save money and time both.

Screen the market:

• Big Data insights let you always stay a step ahead of your competitors. What type of strategies have been used by your competitor in the market can be analysed using the Big Data insights and then your strategies can be pulled off accordingly.

Rule over the social media data:

• Today most of the customer’s and leads are found over social media. The businesses can use Big Data tools to access social media data and improve the services and products as per the customer’s choice. as all the business are run online

Conclusion

The inevitable conclusion is that Big Data is here to stay. Companies are embracing Big Data in their strategies to gain a competitive advantage, improve customer experience, increase customer retention, and revenue. Using Big Data, companies can predict many events backed by robust data, and that will help to outshine competitors.