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Making the most of Weblogs

• Web analytics in brief

• How to use ‘Google Analytics’

• What can we obtain from raw data

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Partner Profile Pages

Partner pages include:

• Profiles• Web analytics• Activities in England• Stakeholders• Publications

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Web analytics section in Partner Profile pages

Line chart - Visits and Pageviews to each country website.

Total visitors to www.e-Bug .eu

Pie chart - Total visits from each country.

Total visitors to specific to each language website.

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Web analytics section in Partner Profile pages

Top 5 visited pages specific to each language pages. (mostly teacher’s website)

Total 5 Downloaded files from e-bug teacher’s website.(first file from first section)

Top 5 Games played in each language.(flash website)

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Google Analytics

Links to Google Analytics. OR

URL: www.google.com/analytics

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Google Analytics

Password: Ebugsite2

URL: www.google.com/analytics

Username: ebugsite

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Google AnalyticsURL: www.google.com/analytics

Account nameCountry name is the Account name

Default account is www.e-bug.eu

Locked countries account name will have XX_ as prefix for eg, XX_Austria

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Google AnalyticsURL: www.google.com/analytics

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Google AnalyticsURL: www.google.com/analytics

AudienceVisitsVisitors

New and returningPageviewsVisit durationBounce rateTime of Day

GeoCountryCityLanguage

Useful sections - Audience

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Google AnalyticsURL: www.google.com/analytics

AcquisitionDirect access Search engineReferral websites

SocialSocial network referrals

Search Engine OptimizationQueries

Useful sections - Acquisition

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Google AnalyticsURL: www.google.com/analytics

BehaviourSite content

All pages Content drill down Landing page Exit page

Useful sections - Behaviour

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Google AnalyticsURL: www.google.com/analytics

Real-Time

AudienceVisitors flow

BehaviourBehaviour flow

Intelligence Event

DashboardsCountry_name Dashboard

Other interesting sections

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Any questions??

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Google AnalyticsURL: www.google.com/analytics

Calculate time of visit

Go to Audience -> Overview Select required dates Select ‘Hourly’ instead of ‘Day’ for graph

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Google AnalyticsURL: www.google.com/analytics

Calculate time of visit Click Export -> Excel Save the Excel sheet Open tab named ‘Dataset1’ Split data for hour index from 0 to 23 hours Assign Day count for each 24 hours Take average of visits count for every 3 hours in a new row Insert Column chart from the table