Customer Analytics refers to the processes and technologies
that give organizations the customer insight necessary to deliver offers that
are anticipated, relevant and timely. It has become an integral part of the
work system of any organization in the world. EXIN Media brings for you the
importance of Customer Analytics.
Customer analytics is becoming critical. To
understand why, consider this: Customers are more empowered and connected than
ever. And becoming more so. Customers have access to information anywhere, any
time— where to shop, what to buy, how much to pay, etc. That makes it
increasingly important to predict how customers will behave when interacting
with your organization, so you can respond accordingly. The deeper your
understanding of customers’ buying habits and lifestyle preferences, the more
accurate your predictions of future buying behaviors will be – and the more
successful you will be at delivering relevant offers that attract rather than
alienate customers.
Customer analytics is often managed by an
interdisciplinary group made up of business owners from different departments
within the company, including marketing, sales, customer service, IT and
business analysts.
Forecasting buying habits and lifestyle preferences is a process of data
mining and analysis. This information consists of many aspects like credit card
purchases, magazine subscriptions, loyalty card membership, surveys, and voter
registration. Using these categories, profiles can be created for any
organization’s most profitable customers. When many of these potential
customers are aggregated in a single area it indicates a fertile location for
the business to situate. Using a drive time analysis, it is also possible to
predict how far a given customer will drive to a particular location. Combining
these sources of information, a dollar value can be placed on each household
within a trade area detailing the likelihood that household will be worth to a
company. Through customer analytics, companies can make decisions with
confidence because every decision is based on facts and objective data.
The most important thing to remember is the
fact that the goal of customer analytics is to create a single, accurate view
of the customer for the group to work with and make decisions about how best to
acquire and retain customers, identify high-value customers and proactively
interact with them. Failure to have enough accurate data can make any
insight derived from analysis wildly inaccurate.