51
` A/B Testing 101: Off To A Great Start THUE MADSEN

A/B Testing 101: Off To A Great Start

Embed Size (px)

Citation preview

Page 1: A/B Testing 101: Off To A Great Start

`A/B Testing 101: Off To A Great Start

THUE MADSEN

Page 2: A/B Testing 101: Off To A Great Start

Thue is the Kissmetrics Webinar Wizard and Marketing Ops Manager. Before joining forces with Kissmetrics, he was a Lyft driver in SF, which is also how

he ended up as a KISSmetrics marketer. Whenever Thue is not trying to automate everything around him, you can find him hiking in the Sierras.

THUE MADSEN Marketing Operations Manager, Kissmetrics

@ThueLMadsen

Page 3: A/B Testing 101: Off To A Great Start

@thuelmadsen

#Kisswebinar

@Kissmetrics

Page 4: A/B Testing 101: Off To A Great Start

The don’ts…

The dos…

1 What is A/B testing?

Do your homework

Repetition

Succeed

2 Where do you start testing?

TABLE OF CONTENTS

3 A framework for success

Tooltips and Burgers4

Page 5: A/B Testing 101: Off To A Great Start

What is A/B testing? A SCIENTIFIC METHOD OF PROOF

Page 6: A/B Testing 101: Off To A Great Start

WHAT IS A/B TESTING FOR MARKETING

• A scientific method adapted for marketing

• Compare two or more versions of an asset to each other

• Use data and statistics to determine which version is better

• Implement winner and increase conversions

Page 7: A/B Testing 101: Off To A Great Start

*Image from Optimizely

HOW DOES A/B TESTING WORK?

Page 8: A/B Testing 101: Off To A Great Start

*Image from Kikolani

HOW DOES A/B TESTING WORK?

Page 9: A/B Testing 101: Off To A Great Start

*Image from Dynamicyield

HOW DOES A/B TESTING WORK?

Page 10: A/B Testing 101: Off To A Great Start

SO WHY DO WE A/B TEST?

• Lowers risk

• Helps us realize the actual impact of proposed changes

• Increase learnings

• Takes the guess work out of optimization

Page 11: A/B Testing 101: Off To A Great Start

How do you start testing? THE DON’TS

Page 12: A/B Testing 101: Off To A Great Start

*Image from Optimizely

WHERE DO YOU START TESTING?

Page 13: A/B Testing 101: Off To A Great Start

DON’T JUST GUESS

Page 14: A/B Testing 101: Off To A Great Start

SUB OPTIMIZE

• Button colors

• Small copy changes

• Small layout changes

• Fonts, font size, etc.

* at least not until you have found a great variation and have lots of traffic

Page 15: A/B Testing 101: Off To A Great Start

WATCH OUT FOR BUZZ

• Don’t just test what the gurus say

• What works for others may not work for you

Page 16: A/B Testing 101: Off To A Great Start

PREMATURE TESTING

• Testing without an audience/traffic

• Before you know what and why you are testing

Page 17: A/B Testing 101: Off To A Great Start

Where do you start testing? THE DOS

Page 18: A/B Testing 101: Off To A Great Start

DO YOUR HOMEWORK

You have to put in the work to get great results

• Learn as much as you can about A/B testing

• Study the great people out there

• What’s their process and insights?

Page 19: A/B Testing 101: Off To A Great Start

A framework for success The basis of a successful testing program

Page 20: A/B Testing 101: Off To A Great Start

Research Know what to test and see the greatest improvements

Page 21: A/B Testing 101: Off To A Great Start

DIVE INTO YOUR DATA

PaidEntered CCAdded to CartViewed Product

Page 22: A/B Testing 101: Off To A Great Start

FIND YOUR BIGGEST OPPORTUNITIES

PaidViewed CheckoutAdded to CartViewed Product

Page 23: A/B Testing 101: Off To A Great Start

INVESTIGATE THE OPPORTUNITY TO UNDERSTAND IT

And/Or

Page 24: A/B Testing 101: Off To A Great Start

INVESTIGATE THE OPPORTUNITY TO UNDERSTAND IT

* peek.usertesting.com/

Page 25: A/B Testing 101: Off To A Great Start

INVESTIGATE THE OPPORTUNITY TO UNDERSTAND IT

Page 26: A/B Testing 101: Off To A Great Start

FORM A HYPOTHESIS

By doing A,

B will happen,

Because of C

Page 27: A/B Testing 101: Off To A Great Start

FORM A HYPOTHESIS

By focusing on the benefits of Kissmetrics instead its features (A),

We will get more prospects to sign up for a trial (B),

Because people understand the value of the product (C).

Page 28: A/B Testing 101: Off To A Great Start

BUILD THE TEST

Page 29: A/B Testing 101: Off To A Great Start

BUILD THE TEST

VS.

Control Variant

Page 30: A/B Testing 101: Off To A Great Start

MEASURE THE TEST

VS.

Control Variant

Page 31: A/B Testing 101: Off To A Great Start

LAUNCH THE TEST

Page 32: A/B Testing 101: Off To A Great Start

CALL THE TEST

VS.

Control Variant

+17.74% increase in registrations!! 98% Significance

Page 33: A/B Testing 101: Off To A Great Start

DOCUMENT AND SHARE YOUR FINDINGS

Page 34: A/B Testing 101: Off To A Great Start

DOCUMENT AND SHARE YOUR FINDINGS

Documenting all your tests and results

• Increases company transparency

• Helps others know where tests are going on

• Makes it easier to call tests

• Makes learnings available for everyone in company

Page 35: A/B Testing 101: Off To A Great Start

*Image from Optimizely

REPEAT THE PROCESS AS OFTEN AS POSSIBLE

Page 36: A/B Testing 101: Off To A Great Start

A STORY OF OUR FAILURE

VS

Control Variant

Page 37: A/B Testing 101: Off To A Great Start

A STORY OF OUR FAILURE

VS

Page 38: A/B Testing 101: Off To A Great Start

A STORY OF OUR FAILURE

VS-13.68% increase in registrations!! 80% Significance

Page 39: A/B Testing 101: Off To A Great Start

*Quote found on VWO

NOT ALL TESTS ARE WINNERS

“ “Only 1 out of 8 A/B tests have driven significant change.”Noah Kagan AppSumo*

“ “The goal of a test is to get a learning, not a lift. With enough learnings, you can get the real lift,” Dr. Flint McGlaughlin MECLABS**

**Quote found on MarketingSherpa

Page 40: A/B Testing 101: Off To A Great Start

RULES OF THUMB FOR TESTING

Things to remember when we are testing

• Min. 2000 visitors

• Min. a few hundred conversions

• At least one full cycle > 2 week

• >99% statistical significance

• Keep a backlog of test hypothesis

• Build next tests as the current one is running

*More info at http://kiss.ly/1vF4wUc and http://kiss.ly/1Q4vTm0

Page 41: A/B Testing 101: Off To A Great Start

Tooltips AND BURGERS

Page 42: A/B Testing 101: Off To A Great Start

How I like my testing burger Tooltips for your testing framework

Page 43: A/B Testing 101: Off To A Great Start

Tool Company Why do I like it?

Analytics KissmetricsShows me my actual customers and their

behavior

Qualitative ResearchQualaroo,

SurveyMonkey, Usertesting

Easy to use/Deep qualitative insights

Project Management TrelloManage my time + communicate with

collaborators

Page 44: A/B Testing 101: Off To A Great Start

Tool Company Why do I like it?

Company Wiki Confluence Document initial thoughts for everyone

Testing platform* Optimizely, Pardot, Adwords

Easily build tests and get data

Analytics Kissmetrics Let’s me confirm and verify down my funnel

Company Wiki ConfluenceDocumentation and

learnings for everyone

*Includes actual testing platform and tools that have testing capabilities

Page 45: A/B Testing 101: Off To A Great Start

Not everyone likes their burger the same way

How do you take yours?

Page 46: A/B Testing 101: Off To A Great Start

Trust the process Share your leanings Stack your results

A/B TESTING FOR SUCCESS

Page 47: A/B Testing 101: Off To A Great Start

*Image from Optimizely

REPEAT THE PROCESS AS OFTEN AS POSSIBLE

Page 48: A/B Testing 101: Off To A Great Start

FEEL LIKE A WINNER AND TAKE A VACATION

Page 50: A/B Testing 101: Off To A Great Start

Appsumo reveals its A/B testing secret: only 1 out of 8 tests produce results

MORE RESOURCES…

A Beginner’s Guide To A/B Testing: An Introduction

How to Run AB Tests that Get REAL Results

Statistical Significance Does Not Equal Validity (or Why You Get Imaginary Lifts)

How Big is the Difference Between Being 90% and 99% Certain?

My 7 Rules for A/B Testing That Triple Conversion Rates

Optimizely: What is A/B Testing

How To Determine The Statistical Significance Of An A/B Test – Basic Introduction

How to Determine Statistical Significance When A/B Testing With Divi Leads

Page 51: A/B Testing 101: Off To A Great Start

THUE MADSEN Marketing Operations Manager, Kissmetrics

@ThueLMadsen [email protected]

Questions?