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A/B Testing:
7 mistakes to avoid
Anthony BREBION
TheFamily
May, 19 th, 2016
About us
French leading A/B testing provider (source : Converteo)
6 years of experience
350 enterprise clients
3 billion users tested
International coverage
(New York, Paris, Londres, Cologne, Madrid, Sydney)
75 people
Some of our awards
AB Tasty, in a nutshell
An all-in-one optimization platform
A more customized
approach to better
convert (1to1)
Push & trigger marketing
tactics to better engage
your audience
Test & Learn approach
to make better decisions
based on data
A/B testing Engagement Personalization
E-commerce MediaLeads
Over 300 famous names trust us
What is A/B testing
and how we do it ?
1 slide to remember…
Bring your optimisation ideas to life
WYSIWYG Interface
An intuitive “point and click” system,
without need for technical knowledge
Modify your pages as you
wish
Simple or advanced modifications,
backprinting pages or in the heart of
content
Plugin library
Customizable preconfigured formats
and placementsVisual Editor
Segmentation Engine
Native criteria Extended criteria
Target your users
Pages
(eg.: page template, URL
pattern)
User profile
(eg.: returning/new visitor,
geolocation, device)
Behaviour
(eg.: viewing at least 5 product
pages)
TMS Data Layer
(eg.: product section, amount of
the basket)
DMP enriched profiles
(eg.: clients with an attrition risk,
clients who seem interested to
purchase from a given section...)
Context
(eg: weather forecast,
geolocation)
Faster decision making
Customizable KPIs
Data Visualisation
tools
Analytics tools
integration
An innovative analytics
and optimisation algorithm
Heat map
Goals overview Pageflow
Reporting interface
3rd tool connection
Some examples
Call to action
+14%
SALES
VS
Visuals
+15%
SALES
VS
Forms
+37%
SUBSCRIBERS
VS
Funnel
+10%
ventes
VS
Page layout
-10%
BOUNCE
VS
Global redesign
+37%
conversion
VS
How to proceed
and mistakes to avoid ?
Do not plan and prepare1
Plan a testing roadmap and prioritize
Example: LIFT Model Example: PIE
Identify
conversion
issues
Find strong
improvement
hypothesis
Test &
Validate
Jump into CRO with only A/B
testing
2
Combine testing with others skills
Collect data to
understand
customer pain
points
Being fooled by statistics3
Follow several KPI’s, not
just macro conversion
Do not rush to interpret
results
Reach at least 95% of
reliability
Get the basics right
Bayesian statistics
Frequentist statistics
Get more reliable information
VS
Algorithms to secure your testing campaigns
Dynamic traffic allocation
Optimize your test by automatically and progressively
send more traffic to your best performing variations
Do not adapt your tests to your traffic4
If you have low traffic…
Minimum Volume:
1 000 visitors / variation
100 conversions / variation
Test BIG
changes
Adapt your
KPIs
Run multiple
tests at the
same time
Run your test
longer
Plan and
prepare even
more
Check out
next point
Do not benefit from your tools’
engagement capabilities
5
Push and trigger marketing
Target
Interactions
30 pre-configured
settings
Personalization in
few clicks
Activate your marketing messages in Real Time
Instant
Availability
Countdown Discount
Message before leaving
Collect emails
Reactivate your visitors Personalize incentive
Create urgency to convert
Live Countdown
Promote cross-selling / up-selling
Custom message launched if
specific conditions
Reduce shopping cart abandonment
Popin on exit intent
Collect emails from leaving users
Email collector triggered on
specific scenario
Do not connect with your
data ecosystem
6
Leverage your existing data
Tag Management System Web AnalyticsData Management Platform
Your CRM
Only think web7
Test on all devices
Website
Responsive website
Dedicated mobile site
Mobile application
Q/A session
Anthony Brebion
Responsable Marketing
anthony@abtasty.com

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"AB Testing: 7 mistakes to avoid" by Anthony Brebion