diagnose, detect, optimise: from an overall site view, down to section-level analyses

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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

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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

3

AT INTERNET’S STRUCTURE

4

A COMPLEMENTARY VISION

Global performance at a

glance

Volume of data +++

Level 1

AT INTERNET’S STRUCTURE

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A COMPLEMENTARY VISION

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Pages visits

Average

AT INTERNET’S STRUCTURE

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A COMPLEMENTARY VISION

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Visits per page

Page A

Page B

Average

An average is not always meaningful

AT INTERNET’S STRUCTURE

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A COMPLEMENTARY VISION

Sub-sections

Micro visionLevel 2

AT INTERNET’S STRUCTURE

8

A COMPLEMENTARY VISION

Vision per

sub-

sections,

etc…

Chapter, sub

chapter,

pages

BUSINESS EXAMPLES

9

BUSINESS EXAMPLES

10

MEDIA WEBSITE

News People Politics Finance

My Media website

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

› 3 axis analysis:

16

RETAIL

Attraction Performances Malfunctions

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

18

RETAIL

Conversion

Audience

PV / Visits

BUSINESS APPLICATION

19

RETAIL

Conversions

Tra

ffic

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

22

NEW PRODUCT FEATURES

23

DATA QUERY / APP DASHBOARD

Level 2 sites

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

NEW PRODUCT FEATURE

26

API / DATA QUERY / APPLICATION DASHBOARD

NEW PRODUCT FEATURE

27

API / DATA QUERY / APPLICATION DASHBOARD

?

WWW.ATINTERNET.COM

LET’S TALK DATA!