A DVERTISING P LATFORM Students : Avi Shahimov, Ariel Slonim , - - PowerPoint PPT Presentation

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A DVERTISING P LATFORM Students : Avi Shahimov, Ariel Slonim , - - PowerPoint PPT Presentation

A DVERTISING P LATFORM Students : Avi Shahimov, Ariel Slonim , Nave Ariel , Yuri Gabaev , Yuval Kovler, Dima Kupershmidt Mentor: Segev Cohen. Supervisor: Eli Itin Hanoch Sapoznikov Jan 2012 Lead of Worldwide Academic Relations 30 Oct


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ADVERTISING PLATFORM

Students : Avi Shahimov, Ariel Slonim , Nave Ariel , Yuri Gabaev , Yuval Kovler, Dima Kupershmidt Mentor: Segev Cohen. Supervisor: Eli Itin

Jan 2012

Hanoch Sapoznikov Lead of Worldwide Academic Relations 30 Oct 2011

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INTRODUCTION

 During specific hours of the day many costumers

want to use the telecom services causing slowness and in several cases – denial of service

 The business sector will continue to use the

services during prime time due to their business needs.

 Our goal is to provide an advertising platform

which will encourage costumers to use the telcom services during the “Dead Hours” instead of “Rush Hours”

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OBJECTIVES

 Creating an advertising platform which will

encourage and convince costumers to use the telecom services during the “Dead hours” instead.

 Reducing the services usage during the “Rush

hours”

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FEATURES

 Embedded application that can run on multiple

platforms (all PC OSs, iPhone, Android, smart TVs…)

 Enables easy advertisements upload  Set of social agendas for each population sector  Recommendation engine that will provide

  • ptimal time and platform for the advertisement

based on the population sector

 Interactive advertisements according to user

personal profile.

 Detection of “Rush hours” and notifying the user.

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SLIDE 5

RISKS

 Other companies may gain from our product  Not all adverting works.  Some sectors will not be convinced  Consuming habits are hard to change (though it

is possible)

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METHODOLOGY

 Define target population sector.  Learn the most popular advertising means (TV

serious, Youtube…)

 Create a recommendation engine based of the

previous research

 Develop an embedded platform for

advertisements

 Combine the platform into smart phones

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SLIDE 7

MILESTONES

Legal research (Weeks 1-3)

Deliverables: all related legal aspects.

Market analysis (Week 4-7)

Deliverables: Population sectors, main services usage, advertising means, social agenda

Product design (Weeks 7-10)

Deliverable: Architecture of the platform

Development (Week 10-15)

Deliverables: final product – platform ready for deployment

CSR Training (Weeks 15)

Deliverables: Training for the CSR for the new platform

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SLIDE 8

FINAL DELIVERABLES

 Advertisements Set of advertisement directed to each population sector.  Market analysis Set of population sectors Set of social agendas for each population sector Set of advertising means

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SLIDE 9

Thank you…