CUSTOMER ANALYTICSDo you know your customer?

DEFINITION

What is it?

Customer analytics is the systematic examination of a company's customer information to identify, attract and retain the most profitable customers.

PROCESS

How does it work?

A specific process is applied to leverage and combine your customer data with massive amounts of external data to provide you with answers to the questions that keep you up at night.

RESULTS

What's the result?

Your organization can make more informed, confident decisions, while reducing risk and exposure. You gain a competitive advantage and get the most out of your data by putting it work.

DIFFERENCE

Why Buxton?

Buxton is the leader in customer analytics. We have the biggest and brightest analytics team, the most client experience in the industry, massive amounts of data, and differentiating technology.

DEFINITION

What is Customer Analytics?

Customer analytics is the systematic examination of a company's customer information to identify, attract and retain the most profitable customers.

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions.

IT'S A SCIENTIFIC PROCESS

An objective view of your customers.

Often organizations are stifled by a log jam of subjective opinions when it comes to making strategic decisions about customers and locations. Customer analytics removes the subjectivity and provides real, objective intelligence about who you customers really are, and where you can find more of them. These facts break down the silos between departments and ultimately help your business grow.

DATA ANALYTICS

Understand the past.

Data analytics or descriptive analytics summarizes what has happened. This version of analytics takes raw data, which is not very consumable, and derives useful information from it. Experts use data analytics to look at huge amounts of data and start to reveal patterns; they then condense that data down into smaller more consumable chunks that provide real value to organtizations.

PREDICTIVE ANALYTICS

Predict the future.

Predictive analytics is the next step up in data reduction. It utilizes a variety of statistical, modeling, data mining, and machine learning techniques to study recent and historical data, thereby allowing analysts to make predictions about the future. The purpose of Predictive Analytics is not to tell you what WILL happen in the future, but what is probable to happen.

Inform strategies, then inform tactics.

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