CUSTOMER ANALYTICSDo you know your customer?

DEFINITION

What is it?

Customer analytics is the in-depth analysis of a company's customer data to identify, attract and retain the most profitable customers.

PROCESS

How does it work?

A specific process is applied to compare and combine your customer data with an extensive bank of external data to provide 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. You gain a competitive advantage and get the most out of your data by putting it to 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 in-depth analysis of a company's customer data to identify, attract and retain the most profitable customers.

Our browsing and buying patterns are tracked everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated reviews, there is a staggering amount of data that can be used to evaluate past customer buying behaviors, and predict future ones.

IT'S A SCIENTIFIC PROCESS

An objective view of your customers.

Often, organizations are influenced by opinions when it comes to making strategic decisions about customers and locations. Customer analytics removes the subjectivity and provides real, objective intelligence about who customers really are and where more can be found. These facts break down the silos between departments and ultimately help businesses grow.

DATA ANALYTICS

Understand the past.

Data analytics summarizes what has happened. This version of analytics takes raw data, which can be a challenge to consume, and derives useful information from it. Experts use data analytics to reveal patterns in large amounts of data, then condense that data into smaller, more consumable pieces that provide real value to organizations.

PREDICTIVE ANALYTICS

Predict the future.

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

Inform strategies, then inform tactics.

Announcing a strategic relationship

This changes everything.

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