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Overview
Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently.
- Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you)
- Tips on using data to predict customer purchasing behavior based on past performance
- Using customer data and marketing analytics to predict when customers will purchase certain items
- Information on how data collected can help with merchandise planning
- Breaking down customers into segments for easier market targeting
- Building a 360 degree view of a customer base
Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights.
Product Details
| ISBN-13: | 9781118615843 |
|---|---|
| Publisher: | Wiley |
| Publication date: | 10/07/2013 |
| Series: | For Dummies Books |
| Pages: | 320 |
| Sales rank: | 1,124,391 |
| Product dimensions: | 7.20(w) x 9.10(h) x 0.80(d) |
About the Author
Read an Excerpt
Data Driven Marketing For Dummies
By David Semmelroth
John Wiley & Sons
Copyright © 2013 John Wiley & Sons, LtdAll rights reserved.
ISBN: 978-1-118-61584-3
CHAPTER 1
Data Driven Marketing 101: It's All About the Customer
In This Chapter
* Understanding what data driven marketing is
* Compiling, managing, and analyzing customer data
* Understanding the components of database marketing campaigns
* Measuring and learning from your marketing campaigns
Data driven marketing means using data about customers to drive marketing communications. The use of consumer data in advertising was pioneered back in the 1930s by Arthur Nielsen of TV ratings fame. Nielsen's data was, and still is, largely derived from survey research. In this book, I approach the subject of data driven marketing primarily, though not exclusively, from the perspective of database marketing.
Database marketing uses direct communication to individuals, like direct mail and e-mail campaigns. What sets database marketing apart is, not surprisingly, the data it uses. Even though the phrase data driven marketing refers more broadly to all types of marketing, I often use the phrase interchangeably with database marketing.
Database marketers rely on customer databases that contain more than just customer contact information. These databases typically contain purchase history, age, income, and a host of other customer attributes. These attributes are analyzed with an eye toward understanding how to effectively drive sales to different types of customers.
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Everything you do as a database marketer begins and ends with the customer. Your effectiveness at driving sales is fundamentally dependent on your understanding of your customer base. This understanding is driven not by intuition or guesswork but by rigorous analyses of facts. Virtually every decision you make is rooted in what your database says about your customers.
Database marketing involves a hybrid set of skills. It requires some level of understanding of database technology. It also involves some degree of analytic capability, particularly some familiarity with statistics. Business acumen is also key. And finally, it requires having some degree of appreciation for the psychology of the consumer. This diversity of skill sets is reflected in the teams that populate database marketing departments. They tend to be very interesting places to work.
In this chapter, I present an overview of the various components of an effective database marketing strategy. Clearly the database is one important component. Your approach to designing communications, or campaigns, is another. And one of the defining characteristics of database marketing is the use of analytic methods to measure and learn from your campaigns. But first, I want to prevent some potential confusion about the focus of this book.
What Data Driven Marketing Is (and Isn't) About
A number of marketing sub-disciplines involve the use of customer data. Web marketing and social media marketing come to mind. I touch briefly on some aspects of web marketing in this book. And I touch even more briefly on social media marketing. Both of these subjects are explored in depth in their own For Dummies volumes.
Small business marketing and business-to-business marketing have also evolved to include substantial use of data. Many of the ideas in this book can be applied in these arenas. In this book, however, I focus specifically on business-to-consumer marketing. I outline my reasons for that in this section.
Database marketing versus direct marketing
Database marketing, as I've said, is a sub-discipline of direct marketing. Direct marketing refers broadly to any communication that is sent directly to a consumer. It does not imply any sophisticated, or even unsophisticated, targeting or audience selection. The "coupon clipper" circulars that show up in your mailbox every week are an example of direct marketing that is not database marketing. Sure, they're sent directly to your mailbox. But they're sent to everyone else's as well.
REMEMBER
I call this approach to direct marketing carpet bombing. Its online equivalent is spam. And it's probably the easiest way to distinguish direct marketing in general from database marketing as I use the terms. Database marketing is the opposite of carpet bombing.
These carpet bombing campaigns typically involve low-quality mail pieces and messages. They're frequently addressed to Resident rather than to an individual. And they're not targeted.
Database marketing campaigns on the other hand reflect the use of customer data in all these areas. The mail piece is personalized and often customized to resonate with the recipient. And most importantly, these campaigns are targeted at specific audiences rather than entire zip codes.
Database marketing and customer relationship management
Customer relationship management, more commonly shortened to CRM, has become a marketing industry staple. You hear about CRM in the context of systems, software, sales force automation, and corporate marketing strategies.
It refers generally to the use of customer data throughout the enterprise. In this sense, database marketing is a component of a company's CRM strategy. By definition, if you're doing database marketing, you're using customer data. But CRM also involves other forms of customer contact. Salespeople, call center agents, customer service reps, and company employees all have contact with customers. CRM attempts to use customer data to support all these functions.
This book focuses on only the database marketing component of customer contacts. Most of the discussion and examples I give stress communications through direct mail or e-mail or other electronic media. The only exception to this is a short section in Chapter 17 where I talk about integrating customer data with your company's broader CRM strategy.
Marketing to businesses
As I say earlier, I don't focus on business-to-business marketing in this book. One reason for this is that it's not my area of expertise. But I do know enough to know that business-to-business marketing differs in many significant ways from consumer marketing.
For one thing, in consumer marketing the fundamental notion is a household. Communications are targeted at and customized around individual households. On the business side, one business can have multiple contacts that you need to keep track of.
This difference affects fundamentally the way a business-to-business database needs to be structured. The consumer database model won't work. And the types of data that's available on businesses differs dramatically from that on the consumer side. Presence of children and marital status — typical marketing variables — don't make any sense in context of businesses.
For another thing, the different contacts in a business need to be treated differently when designing communications. For example, when trying to get a mail piece read by an executive, you need to think about how to keep the assistant who screens the mail from throwing it in the recycling bin.
That's not to say that the ideas in this book are completely irrelevant to business-to-business marketing. The basic structure of database marketing campaigns is the same in both contexts. Much of my discussion on analytics and measurement also applies.
Database marketing and small businesses
Again, many of the ideas in this book are applicable to small businesses. But small businesses have some features that make robust database marketing difficult, if not impossible.
First, small businesses are often geographically limited in their customer base. This makes the use of simpler and less expensive direct-mail programs more feasible than targeted programs. It's more cost effective for them to just carpet bomb zip codes than spend a lot of money on buying targeted lists.
Small businesses also have limited marketing and technology budgets. The cost of setting up elaborate databases, purchasing customer demographic data, and buying analytic tools can be prohibitive.
Having said that, it's possible for a clever and industrious business owner to take a more low-budget approach. The typical suite of office software contains presentation software along with spreadsheet and database software. Moreover, the spreadsheet software is a fairly powerful reporting and statistical tool if you know what you're doing. You could go a long way with just a PC and the occasional college intern.
Focusing on the Customer
Everything you do as a database marketer depends on understanding your customers. This in turn depends on having clean and accurate customer information. Customer databases aren't static entities. You don't just build one and hang up the tool belt. These databases require constant maintenance.
Getting customer data from your companies systems
Your customer data is spread out across a variety of sources. You have transaction systems that keep track of sales, orders, service requests, customer complaints, and everything else it takes to run your business. These systems include call center databases, cash registers, your website, and your e-commerce system.
When building a customer database, you face two main challenges. The first is simply getting the data out of these systems and collected in one place. Because the data is always being updated, this is an ongoing process.
Most customer databases that I've seen involve regularly scheduled data downloads from various source systems. I've seen this done monthly, weekly, and even daily or hourly. The frequency of these downloads defines how fresh the data in your database is.
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It's important for you to understand how fresh your data is. Very likely, not all systems are loaded to your database on the same schedule, so this freshness factor may vary depending on what data you're looking at. The freshness of you data limits what you can do with it. For example, you can't send daily thank you e-mails for purchases if your purchase data is only loaded to your database on a weekly basis.
Integrating data at the customer level
REMEMBER
The second, bigger, challenge is integrating the data. Database marketing focuses on the customer. Your database needs to be organized around your customers as well. Everything needs to tie back to individual customers.
One thing that makes this difficult is that much of the transaction data in your company's operational systems is anonymous. It's not actually associated with customers at all. If I go into a grocery store and hand the cashier a dollar bill for a candy bar, that sale can't be tied back to me.
Throughout this book, I talk about a number of ways to overcome this challenge. Technology — particularly the Internet and other electronic media — are making it much easier to get information about your customers' behavior, attitudes, and preferences. In the Part of Tens, I include a chapter specifically about this and other ways of linking data to customers.
Managing contact information
Your database marketing campaigns involve contacting your customers directly. That means your customer contact information needs to be accurate. Whether it's e-mail addresses, home addresses, or mobile device numbers, if these addresses aren't accurate, you're wasting your time.
Address quality
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Managing your customer contact information is an ongoing maintenance chore. People move all the time. So addresses need to be regularly updated. The U.S. Postal Service can help with this. The USPS maintains and makes available a mover database that contains the change of address information it receives.
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E-mail addresses aren't as easy to update, though a growing number of services can help with this. It is important, however, to recognize when an e-mail address is no longer in use. You can tell when one of your e-mails bounces, or is returned as undeliverable. These need to be removed from your database. If not, you risk the nasty repercussions of being labeled a spammer.
Respecting opt-outs
Customers can and do request to be taken off mailing lists. Another ongoing maintenance chore involves managing these opt-outs. Active management is required because these opt-outs can come from a variety of sources.
In the case of physical mail, there's a national database that contains global opt-outs. By global I mean these are folks who've asked to be excluded from any direct-marketing campaign. This database is managed by the Direct Marketing Association (of which you should be a member.) But people can also contact you directly to ask that you not market to them.
In the case of e-mail, legislation requires you to provide customers with the ability to opt out of hearing from you. Another piece of legislation applies to phone numbers. A national Do Not Call registry is operated by the FTC.
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You need to respect opt-out requests. In some cases, you're legally obligated to do so. In the case of mail, the Direct Marketing Association takes a dim view of database marketers who don't comply with their standards. If the DMA blackballs you, you'll have a difficult time finding credible vendors to help with your direct mail. Plus, bottom line, it's just good business. Why waste money communicating with people who don't want to hear from you?
Communicating with the household
Most database marketing campaigns are directed at households rather than individuals. This is partly to reduce mailing costs. It usually doesn't make sense to mail multiple copies of your message to the same address.
But focusing on the whole household serves another purpose as well. Many of the demographic traits that drive the way you target and communicate your marketing messages are household-level traits. Things like presence of children and household income are classic examples. In fact, all the data collected by the U.S. Census Bureau is collected at the household level.
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Actually building a household record is a little bit tricky. It involves a good bit of data cleansing and data processing to group customers together. Luckily, a variety of companies out there can do this for you. In fact, because they have a lot more data than you do, they can do it far more effectively than you can. I talk about householding services in Chapter 19.
The Database Marketing Campaign
Database marketing campaigns all have the same basic structure. And as the title of this chapter suggests, that structure revolves around the customer. As you develop your campaigns, you'll be using customer data to answer four basic questions about your campaign:
[check] Who?
[check] What?
[check] How?
[check] When?
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Your attention needs to stay focused on the customer. A common trap that marketers fall into is to start with an offer or promotion and attempt to find an audience to sell it to. This "I've got something to sell, find me someone to buy it" approach is completely backwards and not particularly effective. The power of database marketing comes from an understanding of the customer's needs, preferences, and even financial means. An understanding of your customer's perspective is what drives effective offers.
The target audience
Your database marketing campaigns begin with a particular business challenge or opportunity in mind — a goal. Typically your goal involves generating revenue. But sometimes your goal may not generate revenue directly. For example, you may be asked to increase web registrations, with the thought that these registrants may be more likely to make purchases in the future.
Once you're presented with this goal, you need to figure out whom you're going to communicate with. This target audience will drive everything else you do in your campaign development process. Much of this book revolves around techniques for defining this target audience. The heart and soul of database marketing is the ability to use data and analytic techniques to choose audiences that will help you meet your business goal.
(Continues...)
Excerpted from Data Driven Marketing For Dummies by David Semmelroth. Copyright © 2013 John Wiley & Sons, Ltd. Excerpted by permission of John Wiley & Sons.
All rights reserved. No part of this excerpt may be reproduced or reprinted without permission in writing from the publisher.
Excerpts are provided by Dial-A-Book Inc. solely for the personal use of visitors to this web site.
Table of Contents
Introduction 1Part I: Getting Started with Data Driven Marketing 5
Chapter 1: Data Driven Marketing 101: It’s All About the Customer 7
Chapter 2: Communicating Directly with Your Customers 19
Chapter 3: The Forest for the Trees: Where Is the Customer in All That Data? 33
Chapter 4: Using and Managing Your Customer Contact Information 51
Chapter 5: Getting Your Message Out: Marketing Campaign Basics 61
Part II: Digging Deeper into Your Data: Analytics 71
Chapter 6: You’re Going to Need a Geek: Introduction to Analyzing Data 73
Chapter 7: Birds of a Feather Buy Together: Segmenting Your Customers 89
Chapter 8: Getting the Most from Your Transaction Data 105
Chapter 9: The Good, the Bad, and the Ugly: Understanding Customer Profitability 119
Part III: Putting Your Data to Work 129
Chapter 10: The Tactical Advantage: Designing Data Driven Marketing Campaigns 131
Chapter 11: From the Window to the Counter: Getting Shoppers to Buy 151
Chapter 12: Crafting Your Marketing Message 163
Chapter 13: Using Customer Data Online 175
Part IV: The Feedback Cycle: Learning from Experience 189
Chapter 14: Learning Curve: Setting Up a Testing Plan 191
Chapter 15: Getting to the Bottom Line: Tracking and Measuring Your Campaigns 207
Chapter 16: Putting Your Geek to Work: Analyzing Campaign Results 223
Chapter 17: Sharing Customer Data Throughout Your Enterprise 243
Part V: The Part of Tens 259
Chapter 18: Ten (or So) Ways to Capture Customer Data 261
Chapter 19: Ten Resources for Information and Assistance 269
Index 277