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Click Analytics:

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Presentation on theme: "Click Analytics:"— Presentation transcript:

Slide1

Click Analytics:

Why Every Click Counts

Tabatha FarneyAssistant ProfessorUniversity of Colorado at Colorado Springs

Slide2

Click Analytics

[

klik

an-l-it-

iks

]

:

a specific metric that interprets web site use

by

studying clicks on a web page

Slide3

Resons

for Click Analytics

1. Visualize your web site’s usage2. Create easy to interpret reports3. Test what works/what doesn’t work

Slide4

Examples

And so on…

Slide5

Analytics

Slide6

Click Analytics Functionality

Site Overlay

- loads a web page and then overlays it with click data for links* on that page

Slide7

Slide8

Pros

& Cons

Pros

Cons

FREE

Fairly easy to use Must archive old designs NO export functionality Doesn’t (easily) track outbound links Not easy to segment data

Conclusion Must use hacks to really make it useful.

Slide9

Crazy Egg

Slide10

Click Analytics Functionality

Site Overlay

tracks

all clicks on

a web page

Confetti View

– clicks are represented as dots on a web page

Heat Map –

clicks are represented by intensity of color

Slide11

Slide12

Slide13

Slide14

Pros

& Cons

Pros

Cons

three different tools/views

Easy to archive Easy to segment data Fee based Limited export functionality

Conclusion

A worthy

investment, but is not a complete web analytics package.

Slide15

P

iwik

with ClickHeat

Slide16

Click Analytics Functionality

Heat Map

- clicks are represented by intensity of color

Slide17

Slide18

Pros

& Cons

Pros

Cons

FREE

Open Source (customizable)

Real time data ClickHeat must be added to PiWik installation NO export functionality No segmentation of data Slows down web page

Conclusion

Not as robust as Crazy Egg, but it offers a more rounded web analytics package.

Slide19

Conclusions

Supplement to web analytics

Does

NOT

replace usability testing

Slide20

Resources Used

Google Analytics

http://www.google.com/analytics

/

Crazy Egg

http://www.crazyegg.com

/

Piwik

http://piwik.org

/

LabsMedia’s

ClickHeat

http://

www.labsmedia.com/clickheat/index.html

Slide21

Great Reads

Arendt, J. & Wagner, C. Beyond

description

: Converting Web

site

usage statistics

into

concrete site improvement ideas

.

Journal of Web Librarianship

,

4

(1), 37-54.

doi

: 10.1080/19322900903547414

Black, E. Web

analytics

: A

picture

of the

academic library

Web

site user

.

Journal of Web Librarianship

,

3

(1

), 3-14.

doi

: 10.1080/19322900802660292

Clifton, B. (2008).

Advanced Web metrics with Google Analytics

. Serious skills. Indianapolis,

Ind

: Wiley Pub.

Fang, W. (2007). Using Google Analytics for

improving library Web site content

and

design

: A

case study

.

Library Philosophy and Practice

, (Special Issue on Libraries and Google)

http://www.webpages.uidaho.edu/~mbolin/fang.htm

Kaushik

, A. (2010).

Web analytics 2.0: The art of

online accountability and science of customer centricity

. Indianapolis,

Ind

: Wiley.

Slide22

?

Questions/comments?

“Um, yes…I have a question.” LOL Cat,

http://i16.photobucket.com/albums/b24/going_x_crazy/macros/kat%20macros/cat_question2.jpg

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