[cxl live 16] the grand unified theory of conversion optimization by john ekman

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We have come to earth to save humans from Bad Conversion Rates & Web Sites That Suck

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Page 1: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

We have come to earth to save humans fromBad Conversion Rates & Web Sites That Suck

Page 2: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

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The Grand Unified Theory

of CRO

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These are the people I meet every day

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5The CRO Jedi masters

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The Optimisation

Wheel

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1. I got all this persuasion stuff, but when do I apply what?

2. I got all this data, but what data do I REALLY need?

3. I got all these pieces but how do they fit?

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“Essentially, all models are wrong, but

some are useful”

George E. P. Box

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This is where most start“The most innovative

company in our industry”

“Amazing creativity is the core of everything

we do”

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We are data driven - Horay!

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What do these writers say?

“Validated learnings” “Empirical validation”

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Or in plain english

“Fire bullets. Then Canonballs.”

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Add experiments! Done or?

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What’s missing?

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Optimisation wheel Lean Startup

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Page 19: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

1. I got all this persuasion stuff, but when do I apply what?

2. I got all this data, but what data do I REALLY need?

3. I got all these pieces but how do they fit?

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The first law of conversion

”Conversion happens when your and your visitors’ goals meet”

John Ekman

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John Ekman

There’s a time for persuasion & there’s a time to just kick back

and watch the conversion happen

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The 6 questions a visitor will ask

Relevance Value

Trust Action

Ease Assurance

“Am I in the right place?”

“What can I do now?”

“What’s in it for me?”

“Can I trust them?”

“How hard will this be?”

“If I do this now, what if….?”

Increase motivation

Reduce friction

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WHEN?

Page 27: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

Exploration

Evaluation

Commitment

Confirmation

“I’m going to a wedding next month, maybe I should get something new to wear”?

“I want a black dress, size small. It has to be delivered this week, before the wedding and no dry cleaning.”

“Ok, I want the dress. What’s the shipping cost and can I pay by invoice?”

“What? You really think so?! Thanks!I love it too. I bought it online actually”

Visitor goals

Page 28: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

Let’s make it a loop!

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EaseAssurance

ActionValue

TrustRelevance

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Relevance

Persuasion Techniques““Am I in the right place?””

Relevance

Keeping the scent

Implicit codes

Limiting cognitive load/Choice paralysis

Brand recognition

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Implicit codes

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Web shop?

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Web shop?

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Trust

Trust

“Can I trust them?”

Halo effect

Authority

Social proof

Seals, badges

Testimonials/ratings

Design credibility

Persuasion Techniques

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Value “What’s in it for me?”

Value

Positive value - Promise

Negative value - Threat

Value proposition

Differentiation (vs competitors)

Pricing techniques

Gradual engagement

Incentives, campaigning

Scarcity

Urgency

Persuasion Techniques

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Value proposition

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Action “What can I do now?”

Action Visual Hierarchy

Call to action -copy

Gradual engagement

Choice architecture

Limit choice paralysis

Persuasion Techniques

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Visual hierarchy

Prioritized

Flat Prioritised

Page 42: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

Ease “How hard will this be?”

Ease

Usability

Chunking

Step visualisation

Positive feedback/validation

Goal gradient

Customer service

Persuasion Techniques

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(transactional) Assurance

“If I do this now, what if….?”

Assurance

Money-back guarantee

Trial model

Free returns

Warranties

Testimonials/Social proof

Seals/badges

Customer service

Persuasion Techniques

Page 44: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

1. I got all this persuasion stuff, but when do I apply what?

2. I got all this data, but what data do I REALLY need?

3. I got all these pieces but how do they fit?

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How do we make sure we get the RIGHT data out of our experiments?

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Case Spotify Premium

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Premium trial for US market High Dropoff rate

Original

You must leave your credit card details in order to start your 30 day free trial

WHY?

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Input to the hypothesisWe made a short exit survey.

The main reason stated:

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“I don’t want to leave my credit card details for something that is free”!

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Hypothesis:Give the user “A reason why”

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We only use this to verify your account, you won't be charged anything for your trial

We need this just in case you decide to stay Premium after your free month

We need this because our music deals only allow free trials for users that are credit card or PayPal holders

A

B

C

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The result

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Original

“We only use this to verify…”

Blame the record companies

“In case you decide to stay…”

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Page 52: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

1. I got all this persuasion stuff, but when do I apply what?

2. I got all this data, but what data do I REALLY need?

3. I got all these pieces but how do they fit?

Page 53: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

53Shotgun testing

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Better testing in two dimensions

Well-oiled machinery

No machinery

Weak or random hypotheses

Strong and consequent hypotheses

Shotgun testing

Alibi testing

One hit wonder testing

Double loop

testing

Testing velocity

Win rate

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Testing Blues

Double loop

testing

Testing Blues

Testing Blues

Testing velocity

Win rate

Better testing in two dimensions

Well-oiled machinery

No machinery

Weak or random hypotheses

Strong and consequent hypotheses

Page 56: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

The Testing Blues

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The Experiment

process

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Double loop testing

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Visual test duration calculator

apps.conversionista.se

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Do the maths

Estimated uplift

Testingtime

Tests per year

Compound Uplift

Beginner 5%

Average Joe 10%

Stellar 20%

Based on 3000 daily visitors, 5% baseline conversion rate

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Do the maths

Estimated uplift

Testingtime

Tests per year

Compound Uplift

Beginner 5% 138 days 3

Average Joe 10% 35 days 10

Stellar 20% 9 days 40

Based on 3000 daily visitors, 5% baseline conversion rate

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Do the maths

Estimated uplift

Testingtime

Tests per year

Compound Uplift

Beginner 5% 138 days 3 16%

Average Joe 10% 35 days 10 250%

Stellar 20% 9 days 40 150,000%

Based on 3000 daily visitors, 5% baseline conversion rate

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Page 64: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

1. I got all this persuasion stuff, but when do I apply what?

2. I got all this data, but what data do I REALLY need?

3. I got all these pieces but how do they fit?

Page 65: [CXL Live 16] The Grand Unified Theory of Conversion Optimization by John Ekman

conversionista.se/cxllive2016