Top 3 Reasons to Enter the Lucrative Mine of Customer Insights

May 25, 2017

What is the common link between customer engagement, customer loyalty, effective marketing strategy, and better predictive sales? If you are still guessing, well then, the answer is customer insights.

Going beyond raw research, customer insights provides a strategic analysis of qualitative and quantitative customer data. Not only does it help in finding a recurrent pattern in the buying behavior of your customers, but it also enables you to focus on areas which need the focused attention of your marketing and sales team.

Tesco is perhaps one of the first companies which made it a point to track customer behavior closely. Perhaps this is one crucial aspect which has given them a huge advantage over their competitors. Of late, the organization has resorted to IoT, big data, and analytics to stay in touch with the changing consumer behavior.

Clear Returns, a Scotland-based firm, is yet another company which employs customer insights to understand the product return pattern amongst  its consumer base. These insights helped the company get to the root-cause of the incidences of product returns; which in turn enabled value addition to their existing products and improved focus on customer engagement.

So, here are top 3 reasons why you too should also  make the most of the lucrative mine of customer insights:

  1. Quality gets precedence over quantity

According to our highly-experienced analysts, often, businesses are more than content with collecting huge volumes of data, with negligible attention being paid to the quality of this data. Customer insights, on the other hand, brings you quality rich data which is sure to improve the overall value of your product leading to better customer engagement.

  1. Better predictive sales

It has already been mentioned how customer insights provide a realistic picture of the customer’s buying behavior. This insight not only enables improvement of the product quality but also facilitates better predictive sales. Often, sales teams are trying to grapple as much customer information as possible. Through customer analytics, organizations can work on their sales spend and predict the future in a concrete manner.

  1. Involvement of cross-functional departments

A good number of organizations fail to fathom the importance of bringing together cross-functional departments on the same plane. Customer insights, takes into account data from the marketing, research, product design, and sales department, to derive an all-encompassing set of insights.

For more information on customer insights and customer analytics

get in touch


Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Use Cases of Big Data Analytics in the Healthcare Industry

Healthcare Industry Overview  The healthcare industry has seen a complete overhaul in the recent years due to big data analytics. Given the ubiquity of healthcare data generated by business processes within the healthcare sector, healthcare data analytics and big...

read more

Major Use Cases of Big Data Analytics in Food Industry 

Irrespective of the location across the globe, you’ve been a part of the food and beverage industry, often as a consumer. As we’re all aware, the food and beverage industry is divided into multiple sub-sections, ranging from—fine dining to fast food. First, let’s talk...

read more


Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.


Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Talk to us
Talk to us