diagnose, detect, optimise: from an overall site view, down to section-level analyses
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12/02/2014
DIAGNOSE, DETECT, OPTIMISEFROM AN OVERALL SITE VIEW, DOWN TO SECTION-
LEVEL ANALYSES
Marion Joffre – Product Manager
Florian Rieupet – Product Manager
1
AGENDA
› Focus – AT Internet’s structure
› Business examples
› Live demo:
› How to benefit from it in just 2 clicks in Data Query
› Build a section by section dashboard
› Questions
› Survey
2
AT INTERNET’S STRUCTURE
4
A COMPLEMENTARY VISION
Global performance at a
glance
Volume of data +++
Level 1
AT INTERNET’S STRUCTURE
5
A COMPLEMENTARY VISION
0
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5
Pages visits
Average
AT INTERNET’S STRUCTURE
6
A COMPLEMENTARY VISION
0
200
400
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01/0
1/2
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08/0
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10/0
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11/0
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5
Visits per page
Page A
Page B
Average
An average is not always meaningful
AT INTERNET’S STRUCTURE
8
A COMPLEMENTARY VISION
Vision per
sub-
sections,
etc…
Chapter, sub
chapter,
pages
BUSINESS EXAMPLES
› Global analysis
11
MEDIA WEBSITE
Sources Visits
Direct traffic 800 000
Search engines 450 000
Social network 345 000
Referrer sites 180 000
Others 150 000
Total 1 925 000
Level 1 site
BUSINESS APPLICATION
12
MEDIA WESITE
finance
People
News
Sources Visits
Google News 700 500
Bing 450 000
Email Marketing 315 000
Sources Visits
News section 140 000
Yahoo search engine
65 000
Rss feed 28 000
Sources Visits
Facebook 230 000
Direct traffic 180 000
Email Marketing 86 000
BUSINESS APPLICATION
› Quality indicators per sections:
13
MEDIA WEBSITEfinance
People
News
section Visits Page viewed/ visit
Time spend per visit
News 140 000 4 08:00
Finance 65 000 7 14:00
People 55 000 12 11:00
Goal: Establish navigation patterns based on trends per section in order to increase the relevance of the pushed contents and their consumption.
BUSINESS APPLICATION
› Transverse analysis
14
MEDIA WEBSITE
finance
News
people
website
finance
News
people
Mobile site
finance
News
people
Application
Goal: analyse exclusive content versus combined content in order to identify the variousnavigation paterns per device
BUSINESS APPLICATION
› Identify the specific behavior of each section in order to adapt
content promotion
› Tailor messages according to the channel to increase your
advertising revenue
› Optimize audience retention by content
15
MEDIA WEBSITE
BUSINESS APPLICATION
17
RETAIL
Traffic Conversion
Category 1
Category 2
Category 3
Category 4
Goal: Establish a compete diagnosis through a combined approach
BUSINESS APPLICATION
20
RETAIL
Books
Concerts
Goal: Organize topics so as to highlight the sections with a higher attraction rate
EXEMPLE D’APPLICATION
› Measure the section’s contribution to the websites’ sales.
› Identify product sections with the greatest loss rate
› Adjust the visibility of product categories according to their level of
attractiveness
21
RETAIL
NEW PRODUCT FEATURE
24
DATA QUERY / APP DASHBOARD
API Query builder accessible to all, to extract
information in a few clicks
NOUVEAUTÉS PRODUIT
25
DATA QUERY / APP DASHBOARD
Powerful application for smart and eye-catching
dashboarding
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