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“Without data
you’re just
another person
with an opinion”
.
W. Edwards Deming
20 Practical Analytics tips for UX
Who am I?
• Fourteen years web analytics experience
• Six years Google Analytics experience
• Google Individual Qualification holder
• Worked with a wide range of sites: both in-house and agency
• Part-time Senior Conversation Strategist at Fresh Egg
• …and also a Freelance Google Analytics and UX Consultant
1. Use Google Analytics
Why Google Analytics?
• Easy to set up, just add a code snippet
• Used by 10 million websites
• Well supported/documented
• Fully customisable
• It’s free!
2. Check your setup
GAChecker.com
3. Filter out spam/bot traffic
Filter out the spam
Filter out the spam
4. Find out about your users
International visits
Demographics
Demographics – case study
0
10
20
30
40
50
60
70
80
90
100
Week 1 Week 2 Week 3 Week 4 Week 5
Male
Female
Partnered with
SpringForward
Demographics – case study
0
10
20
30
40
50
60
70
80
90
100
Week 1 Week 2 Week 3 Week 4 Week 5
Male
Female
Partnered with
SpringForward
5. Find out what they’re viewing
Most viewed pages
6. Know ‘bounce’ and ‘exit’ rates
Bounce vs. Exit rates
7. Analyse key user journeys
User/behaviour flow
User/behaviour flow case study
8. See how users interact with
elements on a page
Tracking in-page elements
9. Set up Goals
What is a Goal?
Goal data in the reports
Set up Goal Values
£400
X
X
X
10. Find top-level problems
How Page value is calculated
£10Home About Product Checkout
£50Home Product Checkout
£0About Product Home Contact
£20Contact About Product Checkout
How Page value is calculated
£10Home About Product Checkout
£50Home Product Checkout
£0About Product Home Contact
£20Contact About Product Checkout
Product (£10 + £50 + £0 + £20) / 4 = £20
About (£10 + £0 + £20) / 3 = £10
Page value formula
= Page Value
Transaction Revenue + Total Goal Value
Unique Page views for the page
Calculate leakage
11. Uncover device specific issues
Check device performance
12. Use other analytics tools
Heatmapping
In the example below, none of the icons are links, yet heatmaps
show that users are regularly clicking them.
Scrollmapping
13. Benchmark against competitors
Compare to the competition
Jobs board client
Compare to the competition
Jobs board client
14. Find out how users arrive
Where are they coming from?
15. Prove your hypothesis
Back up your ideas
16. Measure the impact of changes
A/B testing for results
17. Segment for better accuracy
Identify different groups of users
18. Get reports emailed to you
Automate some of your reporting
19. Use custom reports/dashboards
Customise your reporting
20. Use it often!
Regular use = better insight
Analyse
Thanks.
luke@lukehay.co.uk
twitter.com/hayluke
linkedin.com/in/hayluke

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