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Semetis vision on
digital challenges.
Hi! My name is Gabriel!
I love good food…
and am a little bit geek…
Semetis



      Team of 12 people
      4 Solvay
      3 Political Science
      2 ICHEC | 1 Ingé Civ | 2 Eco
Internet Switch
What Do People Do?
A Lot !
Website Goals
Ecosystem
           Decision Making


 Traffic
                             Monitoring
 Sources




           Data collection
Social Ecosystem?
            Conversions


                Your
 Traffic        Social      Pages
 Sources       Impact




           Social Plugins
Traffic Acquisition
Collecting Data
Measuring
Testing
Unlocking the door
World of the Web




                                   Indexed pages: 40+ billion
Source: www.worldwidewebsize.com
Google Instant Success

 Speed
   – Google’s search results are served within a
     fraction of a second, which was revolutionary
     back then.

 Comprehensiveness
   – Google's mission is to organize the world's
     information and make it universally accessible
     and useful.

 Meritocracy
   – PageRank algorithm analyzes which sites have
     been "voted" the best sources of information
     by other pages across the web.
- Business
- Analytics
- Technical
“I know half my
                                 advertising isn't
                                 working, I just don't
                                 know which half.”


  William Leverhulme 1851-1925




That was before ...
“I know half my
                                 advertising isn't
                                 working, I just don't
                                 know which half.”


  William Leverhulme 1851-1925




Pay per click model
Google AdWords + Organic



                           Google Ads




                           Google SEO
Display/Branding Online
Social
Do you know this one?
Analyse what’s behind..
Paths to Conversion
Goals & Economic Value
Off-site Activity (seeding)
CHALLENGE:
From Few Data ...
To a lot of available Data
Big Data...
New jobs
Online Marketer
Great Innovations
- Entrepreneurship
Cloud
Accelerating
               2012   60
                      HOURS
Threat or Opportunity?
We build adapted Technology
Private BETA - Additionly.com
Ex. of a performance dashboard
App to understand Big Data




                             44
Understand behaviour/shift




                             45
Understand behaviour/shift




                             46
Creating apps from Big Data




                              47
Understanding Business trends
                                                                                                                                        higher conversion rate
                                                                                                                                        during high seasonality
Case: Gift
   120000                                                                                                                                                                             6000

     100000                                                                                                                                                                           5000

      80000                 Visits                   Sales                                                                                                                            4000

      60000                                                                                                                                                                           3000

      40000                                                                                                                                                                           2000

      20000                                                                                                                                                                           1000

          0                                                                                                                                                                           0
          28/02/2011   28/03/2011       28/04/2011    28/05/2011   28/06/2011   28/07/2011       28/08/2011   28/09/2011   28/10/2011    28/11/2011    28/12/2011   28/01/2012




Case: Retail
 25,000                                                                                                                      Visits remain higher 3 weeks post-
                                                                                                                                                             1000
                                                                                                                             event but goals start decreasing900
 20,000                    Visits & goals increase 2 to 3                                                                                                    800
                                                                                                                             right after the event
                           weeks before influent event in the                                                                                                                             700
 15,000                    sector                                                                              Key                                                                        600
                                                                                                                                                                                          500
 10,000
                                                                                                              event                                                                       400
                                                                                                                                                                                          300
  5,000                                                                                                                                                                                   200
                                                                                                                                                                                          100
     0                                                                                                                                                                                    0
              0        1            2            3          4        5          6            7           8        9         10          11        12         13       14         15

                                                                                                                                                                                          48
Semetis Client success story
The financial impact of leveraging seasonality

        Set of products for which                Set of products for which
        seasonality was leveraged              seasonality was not leveraged
 1400                                   1400
 1200                                   1200
 1000                                   1000
  800                                   800
  600                 +35%              600
                                                               +10%
  400                                   400
  200                                   200
    0                                      0

          revenue Y       Revenue Y+1              revenue Y          Revenue Y+1




                                                                                    49
Tomorrow
Any tweet?




twitter.com/semetis
Semetis Vision of Online Challenges @ARCEurope ShowYourCard! European Conference

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