This document discusses AT Internet's structure for data analysis from overall site views down to section-level analyses. It provides examples of how their tools can be used to analyze sections of a media website and retail website. The presentation demonstrates new product features for API query building, data querying, and dashboarding to analyze performance at various levels.

1. 12/02/2014
DIAGNOSE, DETECT, OPTIMISE
FROM AN OVERALL SITE VIEW, DOWN TO SECTION-
LEVEL ANALYSES
Marion Joffre – Product Manager
Florian Rieupet – Product Manager
1

2. 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

3. AT INTERNET’S STRUCTURE
3

4. AT INTERNET’S STRUCTURE
4
A COMPLEMENTARY VISION
Global performance at a
glance
Volume of data +++
Level 1

5. AT INTERNET’S STRUCTURE
5
A COMPLEMENTARY VISION
0
100
200
300
400
500
600
01/01/2015
02/01/2015
03/01/2015
04/01/2015
05/01/2015
06/01/2015
07/01/2015
08/01/2015
09/01/2015
10/01/2015
11/01/2015
12/01/2015
13/01/2015
14/01/2015
15/01/2015
16/01/2015
17/01/2015
18/01/2015
19/01/2015
20/01/2015
21/01/2015
22/01/2015
23/01/2015
24/01/2015
25/01/2015
26/01/2015
27/01/2015
28/01/2015
29/01/2015
30/01/2015
31/01/2015
Pages visits
Average

6. AT INTERNET’S STRUCTURE
6
A COMPLEMENTARY VISION
0
200
400
600
800
1000
1200
01/01/2015
02/01/2015
03/01/2015
04/01/2015
05/01/2015
06/01/2015
07/01/2015
08/01/2015
09/01/2015
10/01/2015
11/01/2015
12/01/2015
13/01/2015
14/01/2015
15/01/2015
16/01/2015
17/01/2015
18/01/2015
19/01/2015
20/01/2015
21/01/2015
22/01/2015
23/01/2015
24/01/2015
25/01/2015
26/01/2015
27/01/2015
28/01/2015
29/01/2015
30/01/2015
31/01/2015
Visits per page
Page A
Page B
Average
An average is not always meaningful

7. AT INTERNET’S STRUCTURE
7
A COMPLEMENTARY VISION
Sub-sections
Micro vision
Level 2

8. AT INTERNET’S STRUCTURE
8
A COMPLEMENTARY VISION
Vision per
sub-
sections,
etc…
Chapter, sub
chapter,
pages

9. BUSINESS EXAMPLES
9

10. BUSINESS EXAMPLES
10
MEDIA WEBSITE
News People Politics Finance
My Media website

11. 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

12. 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

13. BUSINESS APPLICATION
› Quality indicators per sections:
13
MEDIA WEBSITE
finance
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.

14. 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 various
navigation paterns per device

15. 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

16. BUSINESS APPLICATION
› 3 axis analysis:
16
RETAIL
Attraction Performances Malfunctions

17. BUSINESS APPLICATION
17
RETAIL
Traffic Conversion
Category 1
Category 2
Category 3
Category 4
Goal: Establish a compete diagnosis through a combined approach

18. BUSINESS APPLICATION
18
RETAIL
Conversion
Audience
PV / Visits

19. BUSINESS APPLICATION
19
RETAIL
Conversions
Traffic

20. BUSINESS APPLICATION
20
RETAIL
Books
Concerts
Goal: Organize topics so as to highlight the sections with a higher attraction rate

21. 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

22. NEW PRODUCT FEATURE
22

23. NEW PRODUCT FEATURES
23
DATA QUERY / APP DASHBOARD
Level 2 sites

24. NEW PRODUCT FEATURE
24
DATA QUERY / APP DASHBOARD
API Query builder accessible to all, to extract
information in a few clicks

25. NOUVEAUTÉS PRODUIT
25
DATA QUERY / APP DASHBOARD
Powerful application for smart and eye-catching
dashboarding

26. NEW PRODUCT FEATURE
26
API / DATA QUERY / APPLICATION DASHBOARD

27. NEW PRODUCT FEATURE
27
API / DATA QUERY / APPLICATION DASHBOARD
?

28. WWW.ATINTERNET.COM
LET’S TALK DATA!