Foreword: Be Super Awesome

A few days into my first job on the web, over a decade ago, our senior most executive said to me: “Our product is so good that we should replace all the text, images and links on our home page with one giant red button that says ‘start now.’ People will just love the product and will convert into paying customers. No need to show them previews, explain the problem it solves, have a product recommendation engine. Just one big red button.”

In that one instant I became a fan of experimentation!

I realized that there was no way I could say no to the idea. I was simply not that important (and our salary differential was too big!). My only option was to figure out how to show the executive that we respected his idea, tried it and measure the results.

We jury rigged our CMS to split traffic that landed on the home page to go to two different pages (giant red button and no giant red button). Data collection was painful (log file parsing!). Computation of statistical significance was crude (ok Excel, still works!). The result was surprising. To the HiPPO—because the red button performed miserably. To me as well—I realized this is all it took to let your actual customers pick good ideas.

A lot has happened since that early foray. We have a ton of options when it comes to doing A/B testing. We have tools that make it ever easier to deliver the sexy magic of multivariate testing. An increasing number of people are discovering the exhilarating thrill of controlled experimentation—what a magnificent way to answer questions we thus far thought were unanswerable.

Yet experimentation sadly remains less used than it should be. Tools are not the problem anymore—too many and at all price points. Senior leaders are less of a problem every day—they are starting to see the benefits and career enhancing potential. The problem is that experimentation requires a unique mental model. It requires a systematic approach. It requires a distinct analytical rigor. It requires the love of process excellence.

The problem is you, your employees, me, and our peers in digital marketing.

That’s where Chris rides in to save the day. In 13 chapters, he systematically takes us on a journey from the very first basic steps of testing and experimentation, to making a strong and compelling case for conversion optimization, to the critical sections of prioritization of the many opportunities in front of us and executing our experiments.

My favorite parts of the book are the ones that address the core reasons experimentation is not an all-subsuming part of our digital existence. Chapter 4 introduces us to the LIFT model (this is not going to let you down as you imagine scaling your testing program!), and Chapters 5 through 10 gently hold your hand and provide specific guidance on each element of the model. Any excuse you could come up with to save yourself from being awesome will be gone by this point.

And since just having the knowledge is not sufficient, the 15 real world case studies included will allow you to tell stories to your management team: stories that will inspire them to permit you to unleash your wings and go save the day (and then the next day and then the day after) for your business. Regardless of what your company’s size is. Regardless of where you are on the digital evolutionary cycle.

Buy the book. Be super awesome. Then email Chris and thank him.

Good luck!

Avinash Kaushik

Author: Web Analytics 2.0, Web Analytics: An Hour A Day

www.kaushik.net/avinash

Introduction

Anybody can say charming things and try to please and to flatter, but a true friend always says unpleasant things, and does not mind giving pain. Indeed, if he is a really true friend he prefers it, for he knows that then he is doing good.

—Oscar Wilde

The discipline that I call strategic marketing optimization can change your business and dramatically increase your profits. This book will tell you how.

You have your own opinions about your marketing, perhaps strong ones. Others in your organization may hold differing beliefs. I may have another view entirely.

Which is right? How do you decide whose perspective to take?

Some organizations use a consensus approach where everyone needs to agree before action is taken. Others crown their opinion leaders based on experience, title, or personality. But is the group’s decision always best? Are leaders always right?

No. Opinions are flawed. They are distorted by skewed perspectives, unrelated experience, personal biases, and outdated notions. Yet people believe very strongly in them, despite evidence. As the scientist Peter Medawar said, “The intensity of a conviction that a hypothesis is true has no bearing over whether it is true or not.”

Today, it’s easier than ever to stop debates over whose opinion should win. By scientifically testing marketing approaches, you can gain insights that improve your marketing and business results. Businesses that have embraced split testing in their culture and processes are leading their industries. Others are missing out on this powerful strategy. Some are distracted by the latest unproven marketing trend, social application, or technology. The “shiny new things” can be appealing, but those who fall for distractions are doomed to a downward spiral of false hopes.

I’ll be straight with you. Developing a rigorous optimization process that delivers results isn’t easy. It takes creativity, perseverance, and discipline to get the best results. My goal for this book is to inspire you to be a conversion champion who will evangelize these concepts in your organization and commit to a rigorous approach to continuous improvement. I can promise you that it will be worth the effort.

By reading this, you will learn the processes, frameworks, and tactics that we at WiderFunnel are using to help businesses win. We have refined this optimization system with some of the world’s most successful e-commerce, lead-generation, and affiliate companies like eBay, Google, Shutterfly, SAP, ABB, Citrix, Electronic Arts, and many more. Through dozens of example and case studies of real test results, you will see how you can adopt a similar process in your organization, for whatever products, services, and ideas you need to sell.

In the end, I hope your response to debates and opinions will be to say, “You Should Test That!

Who Should Read This Book

This book is intended to inspire and equip corporate marketers, web directors, product managers, business owners, web analysts, advertisers, affiliate marketers, agencies, and business strategists:

Are you responsible for improving results at your company? This book will tell you how to gain key insights about your customers that can impact your entire organization.
Do you influence or control your marketing messages? This book will show you how to test your value-proposition messages and find out what propels your prospects to action.
Do you want to get more leads, sales, and profit from the same website traffic volume you currently have? This book will show you how to dramatically lift your sales without spending more on advertising.
Do you manage landing pages? This book will show you how conversion optimization will lift your conversion rates and revenue.
Does your company have a website? This book will show you how to create a website that generates more business and has great design, all while avoiding the risks of a website redesign.
Do you manage a company or division? This book will inspire your entire marketing team to use the principles and techniques of scientific marketing to make better decisions and achieve industry-leading results.

Everyone who wants to improve your marketing results: You Should Read This!

What’s Inside

Here is what to expect in each chapter:

Chapter 1, “Why You Should Test That,” shows why testing and optimization are important for your success, the traditional website redesign is broken, and so-called “best practices” are not best.
Chapter 2, “What Is Conversion Optimization?” introduces the scientific testing method, dispels common myths of conversion optimization, and shows how to align your business goals with your website conversion goals. A case study in this chapter shows how a multi-test conversion-optimization strategy improved website content engagement for a tourism organization.
Chapter 3, “Prioritize Testing Opportunities,” gets into practical steps to prioritize your testing opportunities using the PIE Framework to organize your web analytics and heuristic analysis and offers an affiliate marketing case-study example.
Chapter 4, “Create Hypotheses with the LIFT™ Model,” defines the LIFT Model heuristic analysis framework and introduces the following six chapters that show how to use that framework to develop great test hypotheses.
Chapter 5, “Optimize Your Value Proposition,” digs into the concept of the value-proposition equation and how to test all aspects of your tangible features and intangible benefits and costs. A case study with Electronic Arts demonstrates how a conversion-optimization strategy doubled the game registration conversion rate for The Sims 3.
Chapter 6, “Optimize for Relevance,” shows how to optimize the four aspects of relevance—source, target audience, navigation, and competitive—and includes an e-commerce case study of a dramatic home page redesign test and another multivariate test case study.
Chapter 7, “Optimize for Clarity,” gives guidelines and examples for enhancing the clarity of your information hierarchy, design, call to action, and copywriting, with three case studies, including a landing-page test for SAP.
Chapter 8, “Optimize for Anxiety,” shows how to turn anxiety in your favor and reduce your prospects’ concerns about privacy, usability, effort, and fulfillment. An e-commerce case study shows a 42 percent increase in revenue per visitor.
Chapter 9, “Optimize for Distraction,” gives many examples of how distraction factors can reduce conversion rates, and how you can test to fix them.
Chapter 10, “Optimize for Urgency,” will help you test the effects of internal and external urgency and make sure your test results are valid in any season.
Chapter 11, “Test Your Hypotheses,” wraps up the hypothesis-development chapters and shows how to build a strong testing plan with the right goals, test areas, test types, and hypotheses isolations. The chapter also includes a case study and tips on how to get great test results.
Chapter 12, “Analyze Your Test Results,” gives guidelines for monitoring tests and analyzing them for reliable results and marketing insights.
Chapter 13, “Strategic Marketing Optimization,” is your call to action to become your organization’s SMO champion and advocate a culture of continuous improvement.
The Color of Conversion includes 16 color pages with click heatmaps, examples of clarity and distraction, and screenshots from select split test case studies.

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Note: You can download all the files and resources mentioned in the book from www.sybex.com/go/youshouldtestthat or at YouShouldTestThat.com, where you can also join discussions and find additional resources.

How to Contact the Author

I welcome feedback from you about this book or any of my work. You can reach me at author@chrisgoward.com and on Twitter at @chrisgoward. For more information about my work, you should check out the world’s best marketing optimization agency (which I also founded) at WiderFunnel.com.

Sybex strives to keep you supplied with the latest tools and information you need for your work. Please check their website at www.sybex.com/go/youshouldtestthat, where we’ll post additional content and updates that supplement this book, should the need arise.

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