Web Analytics-Basic ! Importance of Introduction to Web Analytics-Basic for client website.Check out this presentation,To know this in more in details Web Analytics-Basic ? Learning Catalyst Provide Professional Training in Digital Marketing in India.To know more subscribe above mention link :http://bit.ly/1DdRqDA

1. Website Analytics : Basics

2. Web Analytics
What & Why

3. Quite unlike anything in the past, businesses
now can get 'live' data from their website and
can use this to improve their operations

4. But most businesses suck at knowing what to do
with this ‘live’ data
Like BIG time
And that’s why Web Analytics is a
‘much in demand’ skill.

5. User searches
Clicks on messages/ads
Goes to the website
After that what?
He reaches the website
How did he reach my website?
But where is he going?
Does he like my product?
Did he see all the products?
How much time did he spend?
Where did he go after that?

6. How can studying data can help you run your
business better
And why are managers not doing it currently?

7. Businesses usually stop at just setting up
analytics
That’s where it is supposed to begin.

8. Importance of good Analytics
Who are your visitors?
• Country/city
• Browser/OS data
• New/Repeat
• Optimize to reach site goals more efficiently
• Actionable insights based on precisely measured metrics.
• Better understanding traffic behaviour
• Test creatives, communication, layouts, etc with ease.
Importance of good Analytics
Improve ROI
How do they reach your website?
• From which site?
• Which campaign works better?
• What SEO/SEM keywords work?
What are they doing..?
• Are they converting?
• How long do they stay on your site?
• What do they read?
• What’s making them leave?
• …much more
8
Web Analytics is the measurement, collection, analysis and reporting of Internet data for
the purposes of understanding and optimizing Web usage.
- Web Analytics Association

9. Career Potential

10. Even if you don’t see job titles for ‘Web
Analytics’, this is a very useful additional skill to
have
Especially if you have been around for a
couple of years in the ‘web’ industry.

11. The future’s bright
“Web Analytics is hard.”
– Eric Peterson
“10% of your budget should be spent on tools, while 90%
spent on people (brains) who will be responsible for
insights.”
– Avinash Kaushik

12. Brief History
12
JavaScript Tags
Log Files &
Hit Counters
Click & heat
maps
Mobile
Analytics

13. Putting the GA code on your site and
checking for it

14. Placing the analytics code

17. Other web analytics packages

18. Other Web Analytics Providers

19. Let’s open a GA account

20. Basic Terminology before we Jump In
Hits: Any element caused by the browser when it requests the page
(A single page can register 1 hit or hundreds of hits based on different
elements on it)
Page Views: Number of pages divided by number of visitors (number of
pages viewed by the visitor)
Sessions or User sessions: Amount of time user browsed your site
Unique visitors: No. of people visiting a web site for the first time or at
least once within a 30 day time period
Repeat visitors
Referrers or Referring sites: Place from where the user has originated
Bounce rate: % of entrance on any given page that resulted in an exit
without entering any other page on the site
Exit rate: % of exits from a page to the total number of visits to that page

21. Basic Terminology before we Jump In
Time spent on the website
Page views per visit
Geographic location
Goals & Funnels

22. Some tricky metrics
Absolute Unique Visitors/Unique Visitors
Clicks/Visits
Visits/Sessions/Visitors

23. What does
analytics
measure?

24. Google
Analytics
collects your
data based on
5 broad
segments …Which give us over 80
primary reports, which
can be further drilled
down to over 1,000
unique reports.
Reported Segments

25. Graph
•Day/week/month views
•Compare 2 metrics
•‘Compare to site’
•Compare date ranges
•Highlight data point on
mouse-over
Data table
•Overview of selected
component
•5 unique data views
•Search box to
include/exclude specific data
•Easily compare performance
to Site Avg.
Easily export/email a
report
•4 format options, incl. PDF,
XML, CSV & TSV
Data Representation

35. Why ask for GA access before you
submit a SEM/Digital Marketing
proposal

36. • Know feasibility of campaign objectives
from past data.
• Get an idea of offering acceptance by
means of closures and engagement
metrics and visitor loyalty.

37. The tougher job is to know what to
look out for
The easier part is to navigate the
interface

38. A case study for what you would
‘look out for’ while studying
Google Analytics