Everything you've learned about A/B Testing is based on the fundamentally flawed belief that there's one right answer. But the era of mass-market, one-right-answers is over. A/B Testing is our most valuable tool in the battle to create a more engaging web. But our strategy is broken. Don't worry, we can gain a better understanding of our users with a little data science. And we can reinvent A/B Testing... I will show you how.
At Civis Analytics, we specialize in Data Science. From here, we can clearly see that all people are not the same. So why are A/B Tests designed to search for a single solution? In this session I'll show you where A/B Testing is headed next. See you in Austin!
11. Lived at the south pole
studying neutrino par5cles
A representa5ve sample of the talent at
12. Lived at the south pole
studying neutrino par5cles
PHD from MIT in the field
of network op5miza5on
A representa5ve sample of the talent at
13. Lived at the south pole
studying neutrino par5cles
PHD from MIT in the field
of network op5miza5on
Chief Analy5cs Officer for
the Obama 2012 campaign
A representa5ve sample of the talent at
14. Lived at the south pole
studying neutrino par5cles
PHD from MIT in the field
of network op5miza5on
Searched for the Higgs Boson
at the Large Hadron Collider
Chief Analy5cs Officer for
the Obama 2012 campaign
A representa5ve sample of the talent at
15. Lived at the south pole
studying neutrino par5cles
PHD from MIT in the field
of network op5miza5on
Searched for the Higgs Boson
at the Large Hadron Collider
Chief Analy5cs Officer for
the Obama 2012 campaign
Really likes
Lord of the Rings
A representa5ve sample of the talent at
22. Which image is the most effective?
A/B testing basics
Which button drives the most sign ups?
Which feature drives the most engagement?
Which video persuades the audience?
101. Those segments have differing value
Golf &
tennis pros
1.9x
Value
shoppers
0.3x
Fitness
nuts
1.1x
Outdoor
adventurers
1.4x
What should you do about it?
102. Data science gives us the ability to
understand customers
in a way we never could before
What should you do about it?
103. Who here
is doing a lot of
data science?
not muchsomea lot
What should you do about it?
104. Who here
is doing some
data science?
not muchsomea lot
What should you do about it?
105. Who here
isn’t doing much
data science?
not muchsomea lot
What should you do about it?
106. Data science will give you
segmenta5on at scale
What should you do about it?