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Basic Web
Analytics
What is web analytics?
• Web analytics is the measurement,
collection, analysis and reporting of web
data for purposes of understanding and
optimizing web usage. - Wikipedia
Why is web analytics
important?
“If you can measure it,
you can manage it”
Know your audience
Who are they?
Where do they come from?
Language
Technology
Search
Key Metrics (1)
• Visit / Session represent the number of times the
website was visited, without regard to repeat
visitors.
• Visitor / Unique Visitor / Unique User represent the
number of actual people that visited our site.
• Pageview represent the total number of pages that
visitors looked at on our site.
Visitors
Visits
Pageviews
Key Metrics (2)
• Audience
o Geolocation
o Behavior
• New visitors VS Return visitors
o Technology
• Browser
• Devices
o Visitors flow / Path
New Visitors VS Returning Visitors
New
85%
Return
15%
New
20%
Return
80%
- A new website, OR website is
unable retain users
- Need a plan to retain new users
- Monetizing through repeat users
- Need to a plan to acquire new users
Key Metrics (3)
• Traffic Source
o Direct Traffic
o Search Engine
o Referring Site
Analysis
• Example
o Strong brand but low search engine traffic
o Need to improve SEO&SEM
65%
10%
25%
Direct Search Engine Reffer
Analysis
• Example
o Weak brand
o Need to improve brand awareness
15%
40%
45%
Direct Search Engine Reffer
Analysis
• Example
o Too reliant on search engine traffic
o Need to diversify traffic sources
20%
70%
10%
Direct Search Engine Reffer
Key Metrics (4)
• E-Commerce
o Conversion Rate (CVR) is defined as the percentage of visitors
who end up buying from your store.
For example: Your conversion rate is 2% if 2 out of 100 visitors buy
from your store.
o Average Order Value (AOV) is the average size of an order on
your store.
For example: Your AOV is $35 per each order if you made $140
from 4 orders.
o Sale / Revenue
Conversion Funnel
Web Analytics Tools
Basic web analytics

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Basic web analytics

  • 2. What is web analytics? • Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. - Wikipedia
  • 3. Why is web analytics important? “If you can measure it, you can manage it”
  • 6. Where do they come from?
  • 10. Key Metrics (1) • Visit / Session represent the number of times the website was visited, without regard to repeat visitors. • Visitor / Unique Visitor / Unique User represent the number of actual people that visited our site. • Pageview represent the total number of pages that visitors looked at on our site.
  • 12. Key Metrics (2) • Audience o Geolocation o Behavior • New visitors VS Return visitors o Technology • Browser • Devices o Visitors flow / Path
  • 13. New Visitors VS Returning Visitors New 85% Return 15% New 20% Return 80% - A new website, OR website is unable retain users - Need a plan to retain new users - Monetizing through repeat users - Need to a plan to acquire new users
  • 14. Key Metrics (3) • Traffic Source o Direct Traffic o Search Engine o Referring Site
  • 15. Analysis • Example o Strong brand but low search engine traffic o Need to improve SEO&SEM 65% 10% 25% Direct Search Engine Reffer
  • 16. Analysis • Example o Weak brand o Need to improve brand awareness 15% 40% 45% Direct Search Engine Reffer
  • 17. Analysis • Example o Too reliant on search engine traffic o Need to diversify traffic sources 20% 70% 10% Direct Search Engine Reffer
  • 18. Key Metrics (4) • E-Commerce o Conversion Rate (CVR) is defined as the percentage of visitors who end up buying from your store. For example: Your conversion rate is 2% if 2 out of 100 visitors buy from your store. o Average Order Value (AOV) is the average size of an order on your store. For example: Your AOV is $35 per each order if you made $140 from 4 orders. o Sale / Revenue