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A 5-step
process to
optimisation
Matthew Roach, November 2017
Have you – as a CRO or marketing professional - ever asked yourself
these questions?
How can I possibly learn all of this?
Even if I learn it – how can I possibly to remember
everything?
That’s a great idea/tip – but how will I remember
that when I need it?
So many things to be done – where to start?
What do I test now?
Can I optimise this business/campaign? I’ve not
done this type before
How do all these different types of research &
analysis fit together?
Forgot to do that first – is my analysis now invalid?
We have all the skills – why are we not making
much of an impact?
Optimisation is hard – why didn’t I choose an
easier career than this?
§ Matthew Roach, Director of Optimization (CRO), Data Science & Analytics
§ Sanoma Revenue of €1.6B
§ Dominant market positions in Holland, Belgium & Finland: TV, news & magazines (print/digital),
classifieds, ecommerce, price comparison, affiliate models
§ My background: Sanoma 3 years , before that own start-up 4 years
§ ‘Defend & Deny’ culture + politics + bureaucracy + resistance to change + legacy
§ Meeting with CEO Susan Duinhoven, September 2015
Introduction and setting the context…
I needed a process!
.
.
.
.
.1
2
3
4
5
• Price
• Hooks & Triggers*
• Personalization & Recommendations
• Psychology (Cialdini)
• Accessibility
• Works all screen sizes
• Page load speeds
• Bugs
• Layout & flow
• Visual styling
• IA & Navigation
• Copy & CTAs
• Technical analysis
• SEO technical audit
KEY ELEMENTS TASKS & ANALYSIS
• Data Science review
• Heuristic analysis
• Benchmarking
• Qualitative analysis:
o Customer interviews & feedback
o Usability testing
o Surveys & Heatmaps
• Quantitative analysis:
o Web analytics review
o Card sorting & TreeJack
*Hooks & Triggers = newsletters, alerts, community forums, loyalty etc.
Functional
Usable &
Intuitive
Persuasive
Optimization Pyramid: a 5 step process
GrowX3
.
.
.
.
.1
2
3
4
5
• Price
• Hooks & Triggers
• Personalization & Recommendations
• Psychology (Cialdini)
• Accessibility
• Works all screen sizes
• Page load speeds
• Bugs
• Layout & flow
• Visual styling
• IA & Navigation
• Copy & CTAs
• Technical analysis
• SEO technical audit
KEY ELEMENTS TASKS & ANALYSIS
• Data Science review
• Heuristic analysis
• Benchmarking
• Qualitative analysis:
o Customer interviews & feedback
o Usability testing
o Surveys & Heatmaps
• Quantitative analysis:
o Web analytics review
o Card sorting & TreeJack
Functional
Usable &
Intuitive
Persuasive
Optimization Pyramid: a 5 step process
Eisenberg’s ‘Hierarchy
of Conversions’
Conversion XL’s ‘Research
XL’ framework
GrowX3
Before you even start any process – you must define your goals
Persuasive
Usable &
Intuitive
Functional
.
.1
2
3
4
5
KEY ELEMENTS TASKS & ANALYSIS
Product & Conversion Goals GrowX3
GrowX3
Step 1: Creating a product that customers actually want
Persuasive
Usable &
Intuitive
Functional
.
Product Customer Fit1
2
3
4
5
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals
“If I had asked people what they
wanted, they would have said faster
horses.”
Henry Ford?
§ Uber did not kill the taxi industry > it did it to itself by not meeting customers needs (no
money, not knowing how long to wait, not enough taxis)
§ Amazon did not kill the retail industry > it did it to itself with bad customer service
§ Spotify did not kill the music industry > It did it to itself by forcing people to buy full length
albums
§ AirBnB did not kill the hotel industry > It did it to itself with limited availability & pricing
options
https://www.linkedin.com/pulse/amazon-did-kill-retail-industry-alberto-brea
Alberto Brea, Executive Director OgilvyOne Worldwide
Disruption happens when competitors meet customer needs better..
In a connected global marketplace where competitors are one
click away – everyone is being disrupted
Step 1: Creating a product that customers actually want
Persuasive
Usable &
Intuitive
Functional
.
Product Customer Fit1
2
3
4
5
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals GrowX3
Value proposition canvas: map needs to product/service
Any new feature, benefit or design change should be ruthlessly assessed
against the personas and this value proposition canvas.
NU’s ‘News Needs’ model*
Stay updated Apply the News
Experience &
Entertainment
Informed Opinion
ActivePassive
Fast
Slow
• Motivations creates needs
• When we understand the
customer need, we understand
what product/service or
specific feature/function to offer
them
• Digital strategy should
frame/limit the needs to be met
• CROs can then focus on and
optimize to those specific
needs
59% 14%
12% 15%
*Adapted from NOS News need model
Step 1: Creating a product that customers actually want
Persuasive
Usable &
Intuitive
Functional
.
Product Customer Fit1
2
3
4
5
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer Journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals GrowX3
As Mary Meeker points out, leading digital companies are hiring more
designers…
https://techcrunch.com/2017/05/31/here-are-some-reasons-behind-techs-design-shortage/
Lean Design is optimisation before something is even built
From ‘Internet Trends’ by Mary Meeker
Step 1: Creating a product that customers actually want
Persuasive
Usable &
Intuitive
Functional
.
Product Customer Fit1
2
3
4
5
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer Journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals GrowX3
MVP ready for launch!
KEY ELEMENTS TASKS & ANALYSIS
Step 2: Getting Data & Analytics right to accurately measure impact
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
GrowX3
Break goals down into ‘foundation KPIs’ and understand drivers.
Example: Video Ad Revenue
Video ad revenue /
page view
CPM per ad
Ads viewed /
page view
% video plays
with ads
Number of video
plays / page view
First video
clicks %
Number of
videos / page
Follow on
video clicks %
# ads per
video
CTR
% Ad
completion
Video ad revenue
Foundation KPI
# page views
# Page
views/visit
# New users
(Acquisition)
# visits
# Returning
users
(Retention)
%
returning
Bounce rate
Return
frequency
Continued
Continued
Create KPI a dashboard
North Star metric
REVENUE
(CONVERSIONS)
RETENTION
• Return frequency
• % returning users
• # returns from
Newsletters
• # sign ups
• # subscribers
• Delivery rate
• Open rate
• CTR
• # returns from Alerts
• # sign ups
• # subscribers
• CTR
• # returns from Social
posts
• # followers
• CTR
• Total revenue
• Display Ad revenue
• CTR
• # ads per page
• Fill rate
• Viewability
• Video Ad revenue
• Streamstarts
• Follow on views
• Ad completion
• # videos per page
• % Videos with ads
• Branded content revenue
• # clicks
REFERRAL
• # social shares
• # retweets
ACQUISTION
• Organic
• # new visitors
• SEPR
• App installs
PRODUCT
(ENGAGEMENT)
• Minutes per week
• # visits per week
• Page views/visit
• Article views/visit
• Number of days/wk
visited
• Visit duration
• Adj. Bounce rate
• Time to page interactivity
• Page load success
• % Ads per page
• # searches
• Sanoma Account
• # sign ups
• Sign up % success
• Sign in % success
• % logged in sessions
KEY ELEMENTS TASKS & ANALYSIS
Step 2: Getting Data & Analytics right to accurately measure impact
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
GrowX3
NU.nl unable to measure accurately or easily view ~50% of these KPIs
REVENUE
(CONVERSIONS)
RETENTION
• Return frequency
• % returning users
• # returns from
Newsletters
• # sign ups
• # subscribers
• Delivery rate
• Open rate
• CTR
• # returns from Alerts
• # sign ups
• # subscribers
• CTR
• # returns from Social
posts
• # followers
• CTR
• Total revenue
• Display Ad revenue
• CTR
• # ads per page
• Fill rate
• Viewability
• Video Ad revenue
• Streamstarts
• Follow on views
• Ad completion
• # videos per page
• % Videos with ads
• Branded content revenue
• # clicks
REFERRAL
• # social shares
• # retweets
ACQUISTION
• Organic
• # new visitors
• SEPR
• App installs
PRODUCT
(ENGAGEMENT)
• Minutes per week
• # visits per week
• Page views/visit
• Article views/visit
• Number of days/wk
visited
• Visit duration
• Adj. Bounce rate
• Time to page
interactivity
• Page load success
• % Ads per page
• Account sign ups
• Cannot be measured or not being measured correctly (Web)
• Cannot be measured or not being measured correctly (All)
North Star metric
KEY ELEMENTS TASKS & ANALYSIS
Step 2: Getting Data & Analytics right to accurately measure impact
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
GrowX3
KEY ELEMENTS TASKS & ANALYSIS
Step 2: Getting Data & Analytics right to accurately measure impact
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
Product & Conversion Goals
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
GrowX3
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
Optimization Pyramid 1:
• Price
• Hooks & Triggers
• Personalization & Recommendations
• Psychology (Cialdini)
• Accessibility
• Works all screen sizes
• Page load speeds
• Bugs
• Layout & flow
• Visual styling
• IA & Navigation
• Copy & CTAs
• Technical analysis
• SEO technical audit
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
• Retention curve analysis• Retention & Aha moment
• Data Science review
• Heuristic analysis
• Benchmarking
• Qualitative analysis:
o Customer interviews & feedback
o Usability testing
o Surveys & Heatmaps
• Quantitative analysis:
o Web analytics review
o Card sorting & TreeJack
for Product and Conversions
Product & Conversion Goals
Product Market Goals Fit
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
GrowX3
Optimization Pyramid: Acquisition/Marketing
Persuasive
Optimization
(of 5Ps)
Delivery
Data & Analytics
Campaign Customer Fit (5Ps)
• Product, promotion, price
• Place (channel)
• Target audience (People)
• Customer motivations & needs
• Digital attribution
• Campaign tagging
• Analytical tools
• KPIs
• Display speed
• Email delivery rates
• Automated social posting
• Channel/platform optimization
• Price optimization
• Promotion optimization
• Target audience optimization
• Personalization
• Psychology (Cialdini)
• Landing page optimization
• Channel selection matrix
• Segmentation analysis
• Motivation/needs personas
• Attribution models & testing
• Analytics health check
• Measurement plan
• KPI trees & drivers
• Data Science review
• Heuristic analysis
• Quantitative analysis:
o Campaign analytics
review
• Qualitative analysis:
o Customer interviews
o Surveys
Marketing Goals
Marketing goals achieved for +ve ROAS
KEY ELEMENTS TASKS & ANALYSIS
1
2
3
4
5
• Technical analysis
• Cost per Action (CPA) • CPA calc GrowX3
The principals underlying it are always the same… The process
framework works in every situation (so far..)
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
Goals
STRATEGY
PLUMBING
OPTIMIZATION
The output from these pyramids research will be a long list of issues
which you prioritize in the usual way
.
Technical
analysis
Heuristic
analysis
Surveys
Mouse
tracking
User testing
Web Analytics
analysis
Retention
brainstorm
Management ideas
SEO review
PPC review
Content
Marketing
brainstorm
Email
Marketing
brainstorm
5 reasons you need a process
Completeness: it’s hard to remember everything you need to do1
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• Price
• Hooks & Triggers
• Personalization & Recommendations
• Psychology (Cialdini)
• Accessibility
• Works all screen sizes
• Page load speeds
• Bugs
• Layout & flow
• Visual styling
• IA & Navigation
• Copy & CTAs
• Technical analysis
• SEO technical audit
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
• Retention curve analysis• Retention & Aha moment
• Data Science review
• Heuristic analysis
• Benchmarking
• Qualitative analysis:
o Customer interviews & feedback
o Usability testing
o Surveys & Heatmaps
• Quantitative analysis:
o Web analytics review
o Card sorting & TreeJack
Product & Conversion Goals
Product Market Goals Fit
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• Price
• Hooks & Triggers
• Personalization & Recommendations
• Psychology (Cialdini)
• Accessibility
• Works all screen sizes
• Page load speeds
• Bugs
• Layout & flow
• Visual styling
• IA & Navigation
• Copy & CTAs
• Technical analysis
• SEO technical audit
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
• Retention curve analysis• Retention & Aha moment
• Data Science review
• Heuristic analysis
• Benchmarking
• Qualitative analysis:
o Customer interviews & feedback
o Usability testing
o Surveys & Heatmaps
• Quantitative analysis:
o Web analytics review
o Card sorting & TreeJack
Product & Conversion Goals
Product Market Goals Fit
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
The order in which you do things matters…2
‘The Basics’
Sexy stuff
… & the biggest wins are at the bottom2
ILLUSTRATIVE %s
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
Product & Conversion Goals
Hygiene factor
Hygiene factor
+ 30-50% uplifts?
+ 0.5-30% uplifts?
+ 50-1M% uplifts?
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
Goals
AB testing is only applicable once reach top layers – there is alot you
can (and should) do before you start testing
3
‘’Just Do Its”
AB testing
AB testing = Optimising
(but is definitely step 1)
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit
A structured process allows you to tackle any optimisation challenge:
from an entire company to a single feature
• Run a design sprint (with customers) to iterate
and create MVP(s)
• Do customers actually need a newsletter? How
does it relate to the VPC?
• What are the KPIs (& targets)
• Have the campaign tags been set up correctly?
• How will I measure & report
• Are they being successfully delivered and
rendered?
• Are the links back to the site/app working?
• Nicely designed & laid out: clarity and few
distractions
• Is copy concise and tied to needs/motivations?
• Personalized content & recommendations
• AB testing of subject lines
NEWSLETTER LAUNCH
4
Goals
1
2
3
4
5
Social	(Facebook)	campaign	checklist
PERSUASION
DATA	&	ANALYTICS
FUNCTIONAL
CAMPAIGN	CUSTOMER	FIT	
(5Ps)
OPTIMIZATION	OF	5PS
q What	are	the	campaign	goal(s):	e.g.	Brand	awareness,	conversions,	Lead	Gen,	etc.
q Metrics/goals	aligned	with	other	channels
q Determine	your	Cost	per	Action/Acquisition	(CPA)	or	Return	on	Ad	Spend	(ROAS)
q People:	target	audience/segment	defined	(and	their	CLV)
q Product:	product	selected	for	promotion	(entire	business	<>single	product)
q Place:	platform(s)	selected	to	reach	target	audience	(Facebook)
q Promotion:	Initial	promotional	tactics	agreed	upon	- especially	what	content	for	each	target	audience	on	each	platform
q Price:	discounts	and	offers	determined
Marketing	Goals
q KPI	tree	created	for	each	business	goal	and	KPI	drivers	identified
q Measurement	tools	implemented	and	tested	as	working	(including	attribution)
q Dashboard	created	for	KPIs	within	reporting	tools
q Attribution	tracking	set-up	for	other	channels
q Place:	compare	metrics	across	platforms	(and	channels!)	and	reallocate	spend	to	highest	performers
q Promotion:	high	performing	posts	are	boosted	(4	stage	process)
q Promotion/People:	New	or	amended	custom	content/ad	variations	created	for	existing	or	new	target	audiences
q Promotion:	adjust	ad	placements	to	highest	performers
q Price:	test	impact	of	different	offers
q Landing	pages	optimized
q Psychology	applied	to	boost	goals
q Delivery	execution	e.g.	Automation	of	posting
q Identification	of	bugs	(e.g.	Facebook	ad	stats)
1
2
3
4
5
ILLUSTRATIVE
Optimization Pyramid for a Start-up
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• Price
• Hooks & Triggers
• Personalization & Recommendations
• Psychology (Cialdini)
• Accessibility
• Works all screen sizes
• Page load speeds
• Bugs
• Layout & flow
• Visual styling
• IA & Navigation
• Copy & CTAs
• Technical analysis
• SEO technical audit
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
• Retention curve analysis• Retention & Aha moment
• Data Science review
• Heuristic analysis
• Benchmarking
• Qualitative analysis:
o Customer interviews & feedback
o Usability testing
o Surveys & Heatmaps
• Quantitative analysis:
o Web analytics review
o Card sorting & TreeJack
Product & Conversion Goals
Product Market Goals Fit
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
Optimization Pyramid for an established business
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• Price
• Hooks & Triggers
• Personalization & Recommendations
• Psychology (Cialdini)
• Accessibility
• Works all screen sizes
• Page load speeds
• Bugs
• Layout & flow
• Visual styling
• IA & Navigation
• Copy & CTAs
• Technical analysis
• SEO technical audit
KEY ELEMENTS TASKS & ANALYSIS
• SEO keywords
• Lean Design & Customer journeys
• Unique Value Proposition
• Customer motivations & needs
• Keyword analysis
• Design sprints & prototyping
• Value Proposition Canvas
• Customer interviews, Surveys, Cluster
analysis
• Retention curve analysis• Retention & Aha moment
• Data Science review
• Heuristic analysis
• Benchmarking
• Qualitative analysis:
o Customer interviews & feedback
o Usability testing
o Surveys & Heatmaps
• Quantitative analysis:
o Web analytics review
o Card sorting & TreeJack
Product & Conversion Goals
Product Market Goals Fit
• DataAsset review
• Customer Journey Funnels set-up
• Analytics health check
• KPI trees & Drivers
• DataAsset
• Customer Journey Funnels
• Analytical tools & set-up
• KPIs
Management: budget, tools, explanations & accountability5
Persuasive
Usable &
Intuitive
Functional
Data & Analytics
Product Customer Fit1
2
3
4
5
• €70K/year
• €10K/year
• €75K/year
• €500/year
• €15K/year
• €10K/year
• CRO
• Hotjar
• VWO
• Interviews & Usability testing
BUDGET NEEDED RESOURCE
• €5K one-off
• €10K one-off
• €45K/year
• €10K one-off
• SEO consulting advice
• Design sprint & designer help
• Customer researcher
• Interviews & Surveys
• Mixpanel• €500/month
Product & Conversion Goals
Product Market Goals Fit
• CDM
• GA Premium,AppAnnie
• WebAnalyst
• €10K/year
• €50K/year
• €60K/year
• Data Scientist
• Dynamic Yield
• UrbanAirship
ILLUSTRATIVE
Difference between a good CRO/Marketeer and a great one
Value = (Knowledge + Process) x Skill x Attitude
4 final process tips…
Tip 1: Create checklists for each element & analysis
*if you don’t use checklists – read the Checklist Manifesto by Atul Gawande
Here’s the Google Analytics one we just completed for NU
Tip 2: Organize your Folders & Bookmarks to match your process
Tip 3: ‘Partner up’ with Conversion XL for refresher courses
Tip 4: Customize and standardized your CRO management tool to align
with your process
Do I have customer product fit? Have I met your needs? Will I get product
market fit?
Aggghh… I’m feeling overwhelmed… how can I
possibly learn all of this?
Even if I learn it – how can I possibly to remember
everything?
That’s a great idea/tip – but how will I remember
that when I need it?
There are so many things to be done – where do I
start?
What do I test now?
Can I optimize this business – I’ve not done this
type before?
How do all these different types of research
analysis fit together?
Oops I forgot to check that first – is my analysis
now invalid?
We have all the skills – why are we not making
much of an impact?
CRO is hard – why didn’t I choose an easier
career than this?
Feedback?
Opportunities at Sanoma
Thanks for listening!
mattroach@mac.com
matt.roach@sanoma.com

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Matthew Roach, Sanoma (AUS/UK/NL) - Conversion Hotel 2017 - keynote

  • 2. Have you – as a CRO or marketing professional - ever asked yourself these questions? How can I possibly learn all of this? Even if I learn it – how can I possibly to remember everything? That’s a great idea/tip – but how will I remember that when I need it? So many things to be done – where to start? What do I test now? Can I optimise this business/campaign? I’ve not done this type before How do all these different types of research & analysis fit together? Forgot to do that first – is my analysis now invalid? We have all the skills – why are we not making much of an impact? Optimisation is hard – why didn’t I choose an easier career than this?
  • 3. § Matthew Roach, Director of Optimization (CRO), Data Science & Analytics § Sanoma Revenue of €1.6B § Dominant market positions in Holland, Belgium & Finland: TV, news & magazines (print/digital), classifieds, ecommerce, price comparison, affiliate models § My background: Sanoma 3 years , before that own start-up 4 years § ‘Defend & Deny’ culture + politics + bureaucracy + resistance to change + legacy § Meeting with CEO Susan Duinhoven, September 2015 Introduction and setting the context… I needed a process!
  • 4. . . . . .1 2 3 4 5 • Price • Hooks & Triggers* • Personalization & Recommendations • Psychology (Cialdini) • Accessibility • Works all screen sizes • Page load speeds • Bugs • Layout & flow • Visual styling • IA & Navigation • Copy & CTAs • Technical analysis • SEO technical audit KEY ELEMENTS TASKS & ANALYSIS • Data Science review • Heuristic analysis • Benchmarking • Qualitative analysis: o Customer interviews & feedback o Usability testing o Surveys & Heatmaps • Quantitative analysis: o Web analytics review o Card sorting & TreeJack *Hooks & Triggers = newsletters, alerts, community forums, loyalty etc. Functional Usable & Intuitive Persuasive Optimization Pyramid: a 5 step process GrowX3
  • 5. . . . . .1 2 3 4 5 • Price • Hooks & Triggers • Personalization & Recommendations • Psychology (Cialdini) • Accessibility • Works all screen sizes • Page load speeds • Bugs • Layout & flow • Visual styling • IA & Navigation • Copy & CTAs • Technical analysis • SEO technical audit KEY ELEMENTS TASKS & ANALYSIS • Data Science review • Heuristic analysis • Benchmarking • Qualitative analysis: o Customer interviews & feedback o Usability testing o Surveys & Heatmaps • Quantitative analysis: o Web analytics review o Card sorting & TreeJack Functional Usable & Intuitive Persuasive Optimization Pyramid: a 5 step process Eisenberg’s ‘Hierarchy of Conversions’ Conversion XL’s ‘Research XL’ framework GrowX3
  • 6. Before you even start any process – you must define your goals Persuasive Usable & Intuitive Functional . .1 2 3 4 5 KEY ELEMENTS TASKS & ANALYSIS Product & Conversion Goals GrowX3
  • 7. GrowX3 Step 1: Creating a product that customers actually want Persuasive Usable & Intuitive Functional . Product Customer Fit1 2 3 4 5 KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals
  • 8. “If I had asked people what they wanted, they would have said faster horses.” Henry Ford?
  • 9. § Uber did not kill the taxi industry > it did it to itself by not meeting customers needs (no money, not knowing how long to wait, not enough taxis) § Amazon did not kill the retail industry > it did it to itself with bad customer service § Spotify did not kill the music industry > It did it to itself by forcing people to buy full length albums § AirBnB did not kill the hotel industry > It did it to itself with limited availability & pricing options https://www.linkedin.com/pulse/amazon-did-kill-retail-industry-alberto-brea Alberto Brea, Executive Director OgilvyOne Worldwide Disruption happens when competitors meet customer needs better.. In a connected global marketplace where competitors are one click away – everyone is being disrupted
  • 10. Step 1: Creating a product that customers actually want Persuasive Usable & Intuitive Functional . Product Customer Fit1 2 3 4 5 KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals GrowX3
  • 11. Value proposition canvas: map needs to product/service Any new feature, benefit or design change should be ruthlessly assessed against the personas and this value proposition canvas.
  • 12. NU’s ‘News Needs’ model* Stay updated Apply the News Experience & Entertainment Informed Opinion ActivePassive Fast Slow • Motivations creates needs • When we understand the customer need, we understand what product/service or specific feature/function to offer them • Digital strategy should frame/limit the needs to be met • CROs can then focus on and optimize to those specific needs 59% 14% 12% 15% *Adapted from NOS News need model
  • 13. Step 1: Creating a product that customers actually want Persuasive Usable & Intuitive Functional . Product Customer Fit1 2 3 4 5 KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer Journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals GrowX3
  • 14. As Mary Meeker points out, leading digital companies are hiring more designers… https://techcrunch.com/2017/05/31/here-are-some-reasons-behind-techs-design-shortage/ Lean Design is optimisation before something is even built From ‘Internet Trends’ by Mary Meeker
  • 15. Step 1: Creating a product that customers actually want Persuasive Usable & Intuitive Functional . Product Customer Fit1 2 3 4 5 KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer Journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals GrowX3 MVP ready for launch!
  • 16. KEY ELEMENTS TASKS & ANALYSIS Step 2: Getting Data & Analytics right to accurately measure impact Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs GrowX3
  • 17. Break goals down into ‘foundation KPIs’ and understand drivers. Example: Video Ad Revenue Video ad revenue / page view CPM per ad Ads viewed / page view % video plays with ads Number of video plays / page view First video clicks % Number of videos / page Follow on video clicks % # ads per video CTR % Ad completion Video ad revenue Foundation KPI # page views # Page views/visit # New users (Acquisition) # visits # Returning users (Retention) % returning Bounce rate Return frequency Continued Continued
  • 18. Create KPI a dashboard North Star metric REVENUE (CONVERSIONS) RETENTION • Return frequency • % returning users • # returns from Newsletters • # sign ups • # subscribers • Delivery rate • Open rate • CTR • # returns from Alerts • # sign ups • # subscribers • CTR • # returns from Social posts • # followers • CTR • Total revenue • Display Ad revenue • CTR • # ads per page • Fill rate • Viewability • Video Ad revenue • Streamstarts • Follow on views • Ad completion • # videos per page • % Videos with ads • Branded content revenue • # clicks REFERRAL • # social shares • # retweets ACQUISTION • Organic • # new visitors • SEPR • App installs PRODUCT (ENGAGEMENT) • Minutes per week • # visits per week • Page views/visit • Article views/visit • Number of days/wk visited • Visit duration • Adj. Bounce rate • Time to page interactivity • Page load success • % Ads per page • # searches • Sanoma Account • # sign ups • Sign up % success • Sign in % success • % logged in sessions
  • 19. KEY ELEMENTS TASKS & ANALYSIS Step 2: Getting Data & Analytics right to accurately measure impact Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs GrowX3
  • 20. NU.nl unable to measure accurately or easily view ~50% of these KPIs REVENUE (CONVERSIONS) RETENTION • Return frequency • % returning users • # returns from Newsletters • # sign ups • # subscribers • Delivery rate • Open rate • CTR • # returns from Alerts • # sign ups • # subscribers • CTR • # returns from Social posts • # followers • CTR • Total revenue • Display Ad revenue • CTR • # ads per page • Fill rate • Viewability • Video Ad revenue • Streamstarts • Follow on views • Ad completion • # videos per page • % Videos with ads • Branded content revenue • # clicks REFERRAL • # social shares • # retweets ACQUISTION • Organic • # new visitors • SEPR • App installs PRODUCT (ENGAGEMENT) • Minutes per week • # visits per week • Page views/visit • Article views/visit • Number of days/wk visited • Visit duration • Adj. Bounce rate • Time to page interactivity • Page load success • % Ads per page • Account sign ups • Cannot be measured or not being measured correctly (Web) • Cannot be measured or not being measured correctly (All) North Star metric
  • 21. KEY ELEMENTS TASKS & ANALYSIS Step 2: Getting Data & Analytics right to accurately measure impact Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs GrowX3
  • 22. KEY ELEMENTS TASKS & ANALYSIS Step 2: Getting Data & Analytics right to accurately measure impact Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis Product & Conversion Goals • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs GrowX3
  • 23. Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 Optimization Pyramid 1: • Price • Hooks & Triggers • Personalization & Recommendations • Psychology (Cialdini) • Accessibility • Works all screen sizes • Page load speeds • Bugs • Layout & flow • Visual styling • IA & Navigation • Copy & CTAs • Technical analysis • SEO technical audit KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis • Retention curve analysis• Retention & Aha moment • Data Science review • Heuristic analysis • Benchmarking • Qualitative analysis: o Customer interviews & feedback o Usability testing o Surveys & Heatmaps • Quantitative analysis: o Web analytics review o Card sorting & TreeJack for Product and Conversions Product & Conversion Goals Product Market Goals Fit • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs GrowX3
  • 24. Optimization Pyramid: Acquisition/Marketing Persuasive Optimization (of 5Ps) Delivery Data & Analytics Campaign Customer Fit (5Ps) • Product, promotion, price • Place (channel) • Target audience (People) • Customer motivations & needs • Digital attribution • Campaign tagging • Analytical tools • KPIs • Display speed • Email delivery rates • Automated social posting • Channel/platform optimization • Price optimization • Promotion optimization • Target audience optimization • Personalization • Psychology (Cialdini) • Landing page optimization • Channel selection matrix • Segmentation analysis • Motivation/needs personas • Attribution models & testing • Analytics health check • Measurement plan • KPI trees & drivers • Data Science review • Heuristic analysis • Quantitative analysis: o Campaign analytics review • Qualitative analysis: o Customer interviews o Surveys Marketing Goals Marketing goals achieved for +ve ROAS KEY ELEMENTS TASKS & ANALYSIS 1 2 3 4 5 • Technical analysis • Cost per Action (CPA) • CPA calc GrowX3
  • 25. The principals underlying it are always the same… The process framework works in every situation (so far..) Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 Goals STRATEGY PLUMBING OPTIMIZATION
  • 26. The output from these pyramids research will be a long list of issues which you prioritize in the usual way . Technical analysis Heuristic analysis Surveys Mouse tracking User testing Web Analytics analysis Retention brainstorm Management ideas SEO review PPC review Content Marketing brainstorm Email Marketing brainstorm
  • 27. 5 reasons you need a process
  • 28. Completeness: it’s hard to remember everything you need to do1 Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • Price • Hooks & Triggers • Personalization & Recommendations • Psychology (Cialdini) • Accessibility • Works all screen sizes • Page load speeds • Bugs • Layout & flow • Visual styling • IA & Navigation • Copy & CTAs • Technical analysis • SEO technical audit KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis • Retention curve analysis• Retention & Aha moment • Data Science review • Heuristic analysis • Benchmarking • Qualitative analysis: o Customer interviews & feedback o Usability testing o Surveys & Heatmaps • Quantitative analysis: o Web analytics review o Card sorting & TreeJack Product & Conversion Goals Product Market Goals Fit • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs
  • 29. Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • Price • Hooks & Triggers • Personalization & Recommendations • Psychology (Cialdini) • Accessibility • Works all screen sizes • Page load speeds • Bugs • Layout & flow • Visual styling • IA & Navigation • Copy & CTAs • Technical analysis • SEO technical audit KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis • Retention curve analysis• Retention & Aha moment • Data Science review • Heuristic analysis • Benchmarking • Qualitative analysis: o Customer interviews & feedback o Usability testing o Surveys & Heatmaps • Quantitative analysis: o Web analytics review o Card sorting & TreeJack Product & Conversion Goals Product Market Goals Fit • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs The order in which you do things matters…2
  • 30. ‘The Basics’ Sexy stuff … & the biggest wins are at the bottom2 ILLUSTRATIVE %s Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 Product & Conversion Goals Hygiene factor Hygiene factor + 30-50% uplifts? + 0.5-30% uplifts? + 50-1M% uplifts?
  • 31. Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 Goals AB testing is only applicable once reach top layers – there is alot you can (and should) do before you start testing 3 ‘’Just Do Its” AB testing AB testing = Optimising (but is definitely step 1)
  • 32. Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit A structured process allows you to tackle any optimisation challenge: from an entire company to a single feature • Run a design sprint (with customers) to iterate and create MVP(s) • Do customers actually need a newsletter? How does it relate to the VPC? • What are the KPIs (& targets) • Have the campaign tags been set up correctly? • How will I measure & report • Are they being successfully delivered and rendered? • Are the links back to the site/app working? • Nicely designed & laid out: clarity and few distractions • Is copy concise and tied to needs/motivations? • Personalized content & recommendations • AB testing of subject lines NEWSLETTER LAUNCH 4 Goals 1 2 3 4 5
  • 33. Social (Facebook) campaign checklist PERSUASION DATA & ANALYTICS FUNCTIONAL CAMPAIGN CUSTOMER FIT (5Ps) OPTIMIZATION OF 5PS q What are the campaign goal(s): e.g. Brand awareness, conversions, Lead Gen, etc. q Metrics/goals aligned with other channels q Determine your Cost per Action/Acquisition (CPA) or Return on Ad Spend (ROAS) q People: target audience/segment defined (and their CLV) q Product: product selected for promotion (entire business <>single product) q Place: platform(s) selected to reach target audience (Facebook) q Promotion: Initial promotional tactics agreed upon - especially what content for each target audience on each platform q Price: discounts and offers determined Marketing Goals q KPI tree created for each business goal and KPI drivers identified q Measurement tools implemented and tested as working (including attribution) q Dashboard created for KPIs within reporting tools q Attribution tracking set-up for other channels q Place: compare metrics across platforms (and channels!) and reallocate spend to highest performers q Promotion: high performing posts are boosted (4 stage process) q Promotion/People: New or amended custom content/ad variations created for existing or new target audiences q Promotion: adjust ad placements to highest performers q Price: test impact of different offers q Landing pages optimized q Psychology applied to boost goals q Delivery execution e.g. Automation of posting q Identification of bugs (e.g. Facebook ad stats) 1 2 3 4 5 ILLUSTRATIVE
  • 34. Optimization Pyramid for a Start-up Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • Price • Hooks & Triggers • Personalization & Recommendations • Psychology (Cialdini) • Accessibility • Works all screen sizes • Page load speeds • Bugs • Layout & flow • Visual styling • IA & Navigation • Copy & CTAs • Technical analysis • SEO technical audit KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis • Retention curve analysis• Retention & Aha moment • Data Science review • Heuristic analysis • Benchmarking • Qualitative analysis: o Customer interviews & feedback o Usability testing o Surveys & Heatmaps • Quantitative analysis: o Web analytics review o Card sorting & TreeJack Product & Conversion Goals Product Market Goals Fit • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs
  • 35. Optimization Pyramid for an established business Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • Price • Hooks & Triggers • Personalization & Recommendations • Psychology (Cialdini) • Accessibility • Works all screen sizes • Page load speeds • Bugs • Layout & flow • Visual styling • IA & Navigation • Copy & CTAs • Technical analysis • SEO technical audit KEY ELEMENTS TASKS & ANALYSIS • SEO keywords • Lean Design & Customer journeys • Unique Value Proposition • Customer motivations & needs • Keyword analysis • Design sprints & prototyping • Value Proposition Canvas • Customer interviews, Surveys, Cluster analysis • Retention curve analysis• Retention & Aha moment • Data Science review • Heuristic analysis • Benchmarking • Qualitative analysis: o Customer interviews & feedback o Usability testing o Surveys & Heatmaps • Quantitative analysis: o Web analytics review o Card sorting & TreeJack Product & Conversion Goals Product Market Goals Fit • DataAsset review • Customer Journey Funnels set-up • Analytics health check • KPI trees & Drivers • DataAsset • Customer Journey Funnels • Analytical tools & set-up • KPIs
  • 36. Management: budget, tools, explanations & accountability5 Persuasive Usable & Intuitive Functional Data & Analytics Product Customer Fit1 2 3 4 5 • €70K/year • €10K/year • €75K/year • €500/year • €15K/year • €10K/year • CRO • Hotjar • VWO • Interviews & Usability testing BUDGET NEEDED RESOURCE • €5K one-off • €10K one-off • €45K/year • €10K one-off • SEO consulting advice • Design sprint & designer help • Customer researcher • Interviews & Surveys • Mixpanel• €500/month Product & Conversion Goals Product Market Goals Fit • CDM • GA Premium,AppAnnie • WebAnalyst • €10K/year • €50K/year • €60K/year • Data Scientist • Dynamic Yield • UrbanAirship ILLUSTRATIVE
  • 37. Difference between a good CRO/Marketeer and a great one Value = (Knowledge + Process) x Skill x Attitude
  • 38. 4 final process tips…
  • 39. Tip 1: Create checklists for each element & analysis *if you don’t use checklists – read the Checklist Manifesto by Atul Gawande
  • 40. Here’s the Google Analytics one we just completed for NU
  • 41. Tip 2: Organize your Folders & Bookmarks to match your process
  • 42. Tip 3: ‘Partner up’ with Conversion XL for refresher courses
  • 43. Tip 4: Customize and standardized your CRO management tool to align with your process
  • 44. Do I have customer product fit? Have I met your needs? Will I get product market fit? Aggghh… I’m feeling overwhelmed… how can I possibly learn all of this? Even if I learn it – how can I possibly to remember everything? That’s a great idea/tip – but how will I remember that when I need it? There are so many things to be done – where do I start? What do I test now? Can I optimize this business – I’ve not done this type before? How do all these different types of research analysis fit together? Oops I forgot to check that first – is my analysis now invalid? We have all the skills – why are we not making much of an impact? CRO is hard – why didn’t I choose an easier career than this?
  • 45. Feedback? Opportunities at Sanoma Thanks for listening! mattroach@mac.com matt.roach@sanoma.com