See how using data analytics can improve user experience (UX)

1. Data Driven UX
Amit Levi
VP, Head of Products @ CoolaData
webinfo@cooladata.com

2. What Do You Think
About This Page?

3. What Do You Think
About This Page?
What is the GOAL of this page ?

4. KPI -
75% of users who initiated an order to complete it
Segment -
Breakdown by segments showed a difference
when comparing new vs. returning users
Behavioral -
Looking at path analysis of new users identified
the churn points in the flow
UX Results -
Added social login button to the register page
Checkout Completion
Ratio
66%
41% 83%
New Returning
View cart Checkout Register Chrun

5. What Do You Think
About This Page?
What is the GOAL of this page ?

6. What will we cover?
● Why be data driven
● How to be data driven
● What tools to use

7. Why be data driven

8. Why be data driven
The Path to Better Decisions, in One Cute Graph
by ANDREW MCAFEE on MAY 30, 2013

9. What will we cover?
● Why be data driven
● How to be data driven
● What tools to use

10. How To be data driven
Set Goals
and KPIs
Choose Your
Weapon
Measure
and
Analyze
Optimize

11. Examples for KPIs and Goals
80% of users who shopped once will return and perform another purchase within one month
40% of new visitors will register every day
75% of users who initiated an order to complete it
60% of users who started a free trial will convert within 30 days
…
Break This Down to Segments, Analyze the Behaviour PER Segment

12. Old School KPIs - Good to Monitor
Trends
HOW MANY NEW
SHOPPERS DO WE HAVE
WHO IS SHOPPING
WHERE DO THEY
COME FROM?
WHAT IS THE TRENDS
Pageviews / Downloads
Gender, Age…
Location
?
?
?
?

13. Behavioral Analytics - Good to Understand
i
i
“How” do teenagers renew their accounts?
What steps do they take?
What is the sequence of events that leads
to conversion?
“Why” do users cancel an account?
Why don’t they like the new interface?

14. What will we cover?
● Why be data driven
● How to be data driven
● What tools to use

15. What tools to use