What Customer Data Type Should You Use?
The Best Type of Customer Data Purchase behavior is king. It is the simplest form of behavior but it is the most powerful i.e: What they bought. How much they paid for it? When did it happen? Through what channel? Was it in store or online? The best kind of data all depends on what […]
How to Implement Personalization and What The Limits Are
Implementing Personalization Everybody likes to feel special and if you feel special, if you think that a message is carved out for you, without even knowing it, you’ll have more of a chance for that recipient to open an email and look at it because they think, “Hmm this is interesting. It’s really about me.” […]
The Difference Between Data Posers and (Real) Data Players
How to Identify a Data Poser Be on the look out for people who over-use Buzzwords. They use them because they are an inch deep and are flashy. Always ask those people to prove the value of those buzzwords. A specific buzzword, especially today, is A.I. (Artificial Intelligence). Posers love to throw that word around […]
4 Pillars of Marketing Analytics
Converting Data Into Analytics We are undoubtedly living in the age of abundant and ubiquitous data. Humans have been saying that “knowledge is power” for ages, but the statement is ever more relevant now. Simply, companies and people who can wield data more effectively will win out. Others—businesses that simply open stores and wait for […]
Identifying Customer Gender | Database Marketing
Determining Gender: A Database Marketing Imperative “Men Are From Mars, Women are From Venus” by John Gray is the classic guide to understanding the opposite sex. This landmark book, first published in 1992, suggests that by learning how genders differ, men and women will be better able to communicate with and understand the opposite sex. […]
4 Types of Data Analytics to Improve Your Business
The 4 Types of Data Analytics: Business Intelligence Reporting (B.I) – The most common type of analytics, also known as data mining, and it is really all about understanding your environment. A few examples are: “I blasted this e-mail and this campaign is going well.” “I have a very small bounce rate, or delivery rate, open […]
Why Do Businesses Struggle to Commit to Analytics?
Marketing Analytics Problems (Solved) The main reason companies give up on analytics is because they do not get the proper results out of all their hard work Sometimes analytics initiatives fail because they are defined wrong, because you didn’t ask the right business questions first. Asking the right questions also helps to avoid death by […]
Solving Your One Time Buyer Problem
The One Time Buyer Problem The first step in new customer acquisition is to learn. It is not enough to just have a database. You need to really dig deep and learn about your customer base. The second step is targeting. You need to decide the who, what, and how you are are going to […]
Direct Mail and Marketing Automation
THE ROLE OF DIRECT MAIL IN 2019: USING THE BUYER LIFECYCLE AND MARKETING AUTOMATION (PART 2) Marketing automation is vital today to help retailers and marketers respond to market changes and customer changes. Customer databases are predominately one-time buyers The benefits of direct mail are clear: much less clutter than the average e-mail inbox has […]
Ditching Rule Based Segmentation
Even with great advancements in technology for data management, analytics, and campaign tools, holistic personalization is not achieved in everyday marketing campaigns. Rudimentary segmentation techniques are widely used in marketing, however, segments built with a handful of variables based on users’ imagination are not enough for proper personalization. In a data-rich environment, one must employ […]