Web Analytics

1,189 views
1,162 views

Published on

An intro to web analytics - some top things to look at.

Published in: Education, Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,189
On SlideShare
0
From Embeds
0
Number of Embeds
732
Actions
Shares
0
Downloads
23
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Web Analytics

  1. 1. Web Analytics Making Sense of Mumbo-Jumbo
  2. 2. Analytics 101 <ul><li>A small tracking script records each visit and page view </li></ul><ul><li>Reporting is not Analysis </li></ul><ul><li>Analytics should inform and be informed by business goals </li></ul><ul><li>It’s not a perfect science </li></ul>
  3. 3. Traffic Overview <ul><li>Numbers need context </li></ul><ul><li>Trendspotting </li></ul><ul><li>What are your goals? </li></ul>
  4. 4. Content is King <ul><li>What are visitors looking at? </li></ul><ul><li>What aren’t they looking at? </li></ul><ul><li>What content performs well? </li></ul>
  5. 5. Traffic Sources <ul><li>Search Engines </li></ul><ul><li>Keywords you have </li></ul><ul><li>Keywords you want </li></ul><ul><li>ND Search </li></ul><ul><li>Google.com </li></ul><ul><li>Referring Sites </li></ul><ul><li>Incoming links </li></ul><ul><li>Where are they going? </li></ul><ul><li>Who is linking to you? </li></ul>
  6. 6. BOUNCE RATE <ul><li>A user leaves after visiting a single page </li></ul>
  7. 7. Bouncy Content <ul><li>Content performance compared to the rest of the site </li></ul>
  8. 8. Bouncy Keywords <ul><li>Keyword performance compared to the rest of the site </li></ul>
  9. 9. Drawing Conclusions <ul><li>Who is your audience? </li></ul><ul><li>What do you want them to do? </li></ul><ul><li>How can you measure that? </li></ul><ul><li>Measure, tweak, and repeat. </li></ul>

×