s ocial s ynergy
play

S OCIAL S YNERGY Students : Tal Sharon, Oded Leiba, Shai Shabat, - PowerPoint PPT Presentation

S OCIAL S YNERGY Students : Tal Sharon, Oded Leiba, Shai Shabat, Roey Arditi, Maor Hornstein Mentor: Liron Hanoch Sapoznikov Lead of Worldwide Academic Relations 30 Oct 2011 I NTRODUCTION When we know you better, we can sell you


  1.  S OCIAL S YNERGY Students : Tal Sharon, Oded Leiba, Shai Shabat, Roey Arditi, Maor Hornstein Mentor: Liron Hanoch Sapoznikov Lead of Worldwide Academic Relations 30 Oct 2011

  2. I NTRODUCTION  “When we know you better, we can sell you better” !  Our goal is to direct sales, offers and to give a better service to our clients through Social Networks.

  3. C URRENT S ITUATION  Companies advertise new deals, devices etc. that doesn't apply to most of the viewers.  Users usually ignore non-personal advertisements.  Companies have a large database about a client which is not used to its full potential.

  4. O BJECTIVES  Development of a system that will utilize Social Networks to send personal advertisement based on OSS data about the client.  Potential users: the company clients that subscribe to our Social Networks personal page.

  5. H OW TO USE THE DATA ? The main idea is to cross data from the OSS to the social network information, to do the following:  Cross OSS data about the subscribers with information about events they will attend, and effectively plan marketing strategies.  Increasing OSS data with a more accurate social network data.  “Edge” clients (who use most of their package) - offers to enlarge their deal.  Find high populated group of certain OSS profile (I.E age) and count them as new trend for marketing.

  6.  A customer who consumes many SMSs – advertising different cool stuff he can vote to with text messages (Reality TV etc. ).  A customer who publishes keywords connecting with “out of country” vacations- shall receive advertisements about abroad deals.  By ages- advertising a suitable application (games, hobbies etc.) for money or for free in condition for upgrading.

  7. H OW WILL WE ATTRACT SUBSCRIBERS TO OUR PAGE ?  Advertising through: phone bills, SMS, homepage and personal website accounts.  Offering periodic lotteries, SMS benefits (upon subscribing), promotions and campaigns updates.  The joining will be advertised publicly to the subscriber’s friends. Benefits will be given to subscribers which will fill their phone number. *That way we can connect the OSS desired information with the social network account.

  8. M ETHODOLOGY  Create an online program that will send ads to a client Social Networks personal page (which we have access to when the client subscribe to out page) base on criteria from the OSS database.  Create a page that when subscribing ask the client to enter phone number, name and age and in return give the client free SMS/ minutes.  Advertise the page and offer through company web site, bills, SMS to clients.

  9. R ISKS  Not enough subscribers.  Grabbing joining benefits, and leaving the company’s page.

  10. M ILESTONES Legal Research (Weeks 1-2) Deliverables: requirements document or contracts. Market research (Week 3-4) Deliverables: common complaints and problems & which advertise best for them . Coding (Weeks 6-11) Deliverables: online application to distribute advertisement. Facebook page. Testing (Weeks 11-12) Deliverables: final product code + release notes including known bugs, caveats and workarounds. Lunching (Week 13)

  11. F INAL D ELIVERABLES  Web application linked to OSS database  Well documented source code  Social Networks page

  12. Thank you…

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend