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Google Analytics

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Google Analytics. 1. Introduction. 2007. What is Google Analytics?. 2005. 2004. GA.js. urchin.js. Conventions. GA = Google Analytics GATC = Google Analytics Tracking Code. Google Analytics advantages. Free Sufficiant possibilities for most companies Easy to implement Easy to use - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Google Analytics

Google Analytics

Page 2: Google Analytics

1. Introduction

What is Google Analytics?

urchin.js

GA.js

2004

2005

2007

Page 3: Google Analytics

Conventions

• GA = Google Analytics• GATC = Google Analytics Tracking

Code

Page 4: Google Analytics

Google Analytics advantages

• Free• Sufficiant possibilities for most

companies• Easy to implement• Easy to use• Easy to understand

Page 5: Google Analytics

Google Analytics disadvantages

• URL and title based• Privacy ?• JavaScript and cookies• Only visitors, no crawlers or bots

Page 6: Google Analytics

2. Google Analytics interface

• Dashboard• Add / remove

elements• Personalized

Page 7: Google Analytics

Calendar

Page 8: Google Analytics

Reporting

• XML• PDF• CSV

• Send now• Schedule

Page 9: Google Analytics

Get the GATC

• Google Analytics Tracking Code• Old vs. New one• urchin.js vs. GA.js

Page 10: Google Analytics

urchin.js

• Old code• Can still be used

<script src="http://www.google-analytics.com/urchin.js" type="text/javascript"></script><script type="text/javascript">_uacct = "UA-123456-1";urchinTracker();</script></body></html>

Page 11: Google Analytics

GA.js

• New code

<script type="text/javascript">var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www.");document.write("\<script src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'>\<\/script>" );</script><script type="text/javascript">var pageTracker = _gat._getTracker("UA-123456-1");pageTracker._initData();pageTracker._trackPaginaweergave();</script></body></html>

Page 12: Google Analytics

Check your installation

• Put code just before </body>• Loads pages faster• No problem if GA offline

Page 13: Google Analytics

Easy implementation

• All HTML-files: lot of work• Dynamic site: look for footer

inclusion• CMS: look for templates

• Put GATC on ALL pages !!!• Correct data = essential

Page 14: Google Analytics

Access manager

• Give access to GA account• Must be Google account• Administrator or View Reports only

Page 15: Google Analytics

Add user

Page 16: Google Analytics

5. Profiles and Filters

• Are the real strength of GA• Segment data• Deep analysis• Depending on needs• Start collecting data when created

Page 17: Google Analytics

Best practices

• Profile with ALL data• Testing profile

Page 18: Google Analytics

Data needed for profile

• Website URL• Profile Name• Time Zone• Default Page• Exclude parameters• E-commerce

website• Search

Page 19: Google Analytics

GATC for different profiles

<script src="http://www.google-analytics.com/urchin.js" type="text/javascript"></script><script type="text/javascript">_uacct = "UA-123456-1";urchinTracker();</script>

<script src="http://www.google-analytics.com/urchin.js" type="text/javascript"></script><script type="text/javascript">_uacct = "UA-123456-2";urchinTracker();</script>

<script src="http://www.google-analytics.com/urchin.js" type="text/javascript"></script><script type="text/javascript">_uacct = "UA-654321-1";urchinTracker();</script>

Page 20: Google Analytics

Filters

• Applied to profile• Change data (forever!)• Segmentation• Business rules• 2 sorts: predefined and

custom• Test profile

Page 21: Google Analytics

How do filters work?

3 components• Filter Type• Filter Fields• Filter PatternFilter data before

submitting it to GA DB

Page 22: Google Analytics

Multiple filters

• No problem• Multiple filters applied to data• Data output filter 1 is input filter 2• Be careful !!!• Wrong conclusions

Page 23: Google Analytics

Filterfields

• 37 fields• Field = pageview attribute• Regular fields and user defined fields• Regular: request URI, hostname, referral,

page title, browser, IP address,...• User defined: campaign name, source,

campaign term, e-commerce variables,...

Page 24: Google Analytics

Filter Patterns

• Pattern is applied to filterfield• If ok, data registered• If not ok, data neglected• Build patterns using RegEx• RegEx = set of characters,

representative for bigger set of data

Page 25: Google Analytics

Filter Type

• 10 different types• 3 predefined• 7 custom

Page 26: Google Analytics

5.1 Exclude all traffic from a domain

Page 27: Google Analytics

5.2 Exclude all traffic from an IP address

IP ranges with RegEx !!!

Page 28: Google Analytics

5.3 Include only traffic to a subdirectory

Page 29: Google Analytics

5.4 Include / Exclude filter (1)

Page 30: Google Analytics

5.4 Include / Exclude filter (2)

Page 31: Google Analytics

5.4 Include / Exclude filter (3)

Page 32: Google Analytics

5.5 Search and replace filter (1)

Page 33: Google Analytics

5.5 Search and replace filter (2)

• No RegEx !!!• Changes data !!!

Page 34: Google Analytics

5.6 Uppercase / Lowercase filter

Page 35: Google Analytics

5.8 Advanced filters

• Change data fields• By combining elements• 2 filter fields: Field A and Field B• Extract field = Constructor• RegEx !!!

Page 36: Google Analytics

Examples of advanced filters (1)

Page 37: Google Analytics

Examples of advanced filters (2)

Page 38: Google Analytics

6. Custom segmentation

• Segment data• _utmv cookie• JavaScript function _utmSetVar()• On pages tagged with GATC• Applied to HTML attributes as

onLoad(), onChange(), onSubmit()• Only 1 cookie per visitor (website)

Page 39: Google Analytics

Custom segmentation example

Page 40: Google Analytics

Custom segmentation code

• Everyone = visitor (“not set”)• When registered = member• When completed buy = customer• Report: Visitors > User defined

<body onLoad=”javascript:_utmSetVar(‘member’);”>

<body onLoad=”javascript:_utmSetVar(‘customer’);”>

Page 41: Google Analytics

User Defined Values

Page 42: Google Analytics

7. Goals

• Conversions ?• Conversion rate• Reports• Success of site• “Thank you” page• Max. 4 per profile• Contact – buy – download - register

Page 43: Google Analytics

Setting up goals

Page 44: Google Analytics

Goals howto

• Match type• Goal value• Choose good name• Unique “thank you” page per conversion• Keep track of filters

Page 45: Google Analytics

Goals visualisation (1)

Page 46: Google Analytics

Goals visualisation (2)

Page 47: Google Analytics

Funnels

• Extension of goals• Predefined steps• Track conversion process• Required steps ?

Page 48: Google Analytics

Funnel visualisation

Page 49: Google Analytics

9. Tips & Tricks: Site Search

Page 50: Google Analytics

• Bezoeker / Visitor= Surfer die website bezoekt

• Bezoek / Visit= Bezoek aan een website

• Unieke bezoeker: over tijdsperiode

• Pagina’s / Pageviews= aantal pagina’s dat je opvraagt

Begrippen

Page 51: Google Analytics

Zoekwoorden

Page 52: Google Analytics

Verwijzende Sites

Page 53: Google Analytics

Beter Social Media Traffic volgen

Campaign Link Tagging

Step #1 – gebruik de Google URL Tool om een tracking link te maken

http://www.google.com/support/analytics/bin/answer.py?hl=en&answer=55578

Page 54: Google Analytics

Weergave per Pagina

Page 55: Google Analytics

Stegelshof

Page 56: Google Analytics
Page 57: Google Analytics

Innoviting – Call to Action

Innoviting de beste services voor rfid en project management

Page 58: Google Analytics

Innoviting - Linkbuilding

• http://www.rfidnederland.nl/Pagerank: 5

• http://www.dutchrfid.nl/Pagerank: 3

• http://www.rfidkenniscentrum.nl/Pagerank: 4

• http://nl.wikipedia.org/wiki/Radio_frequency_identificationPagerank: 5

• http://projectmanagement.startpagina.nl/Pagerank: 5

• http://www.freedomadl.nl/Pagerank: 5