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Our target: to become #1
recommendation platform
July 2013
RESULT:
•Confusion
•Low advertising efficiency
Problem: to much information
Peers and users
Hundredth millions of web
pages, video, photo etc
The customer
Cluttered with information on
the Web
Not sure what he/she wants
Brands and advertisers
Ways to promote on the web
High competition for user
attention
Videos
Posts
Photos
Promo websites
Groups
Pages
Banners
Solutions
Surfingbird is a new way to browse the web
It is an alternative to search engines and social networks. It focuses on users’
interests and so allows us to create a database of user behaviors.
Search
When the user
knows exactly
what he wants
Social networks
Information and
behaviour predefined by
the set of friends
Easy registration
1. User enters his e-mail or
registers via a social network
2. Specifies his interests so the
system can select content
especially for him
Engaging one click surfing
Pages and other content are shown “as is” below a
Surfingbird panel; the panel has the “Surf” button
and other functions for surfing convenience and
other actions
Next page based on
users’ interests
Special filters related to the
current page
Surfing based on one
or several interests
Share/Like Surf button is already on the largest Russian sites:
More than 50 million users see Surf button
per month
…and hundreds more.
Our clients
Team
Sergey Shalaev
CEO
Team leader/Inspirator/ Product development
Extensive experience in top media resource
Mail.ru. IT team management in WMJ
Sergey Nikolenko
R&D director
Wide research experience in computer science,
mathematics, machine learning. More than 30
international research papers, 5 books. Winner
of international and Russian grants (INTAS,
Presidential grants)
Dmitry Shalashov
CTO
Launch of 3 successful IT projects in Mail.ru
IT development for Parallels and Yandex
Alex Lopatik
Sales Director
More than 7 years in digital . Sales in : afisha.ru,
rutube.ru; Client director in IVI.ru
Appendix
Surfingbird: leading innovation
From the mathematical and technological viewpoint, the project is
based on the Tachikoma recommender system, produced by a team of
mathematicians and developers. At present, Tachikoma is based on
collaborative filtering:
GroupLens and its modifications
SVD and SVD++
Restricted Boltzmann machines
Further directions for development include:
Content analysis of the web pages
Employing the interest graph and social graphs
Presenting serendipitous recommendations and much
more
Surfingbird going well
Surfingbird is an international startup created in 2010 by a team of professionals with
media/IT/finance/marketing backgrounds
Revolver
Our major source of income are targeted and direct
shows of pages and other content sponsored by
clients
Recommendation engine
The company owns a unique collaborative filtering
and recommendation engine developed internally
Investments
1st round of investment ($2,5 mln.) by top
international managers/venture investors
To date:
1 000 000+ registered users
about 900K page views every day
You can find more detailed information about our
product in “Surfingbird product description”
Monetization:
sponsored recommendation
Market size 2013
Internet advertising budget in Russia: $1.8 bln
(increased by $0.5 bln over last year)
Internet advertising budget in Europe: $37 bln
(increased by $7 bln over last year)
Our commercial product
We sell direct relevant page views and other content
views provided by the clients (advertisers) to users
actively interested in this information. Every tenth
page shown to the user after he clicks "SURF" may
be a sponsored page
Our clients
Media advertisers (direct clients and communication
groups) and publishers (content platforms that need
additional traffic)
Options for clients
Targeting: by topic, by social and demographic
information, by geography. Complete control over
the advertising campaign; the client is able to plan
his/her budget up to the last dollar.
Surfingbird – only relevant advertising
The user specifies his/her interests1
We filter materials by their interests2
We find similar users in order to show web sites
they have viewed
3
We select only content highly rated by other
users
4
Pages are shown under the Surfingbird panel.
Views of pages provided by advertiser may
constitute up to 20% of all views
RESULT:
Relevant materials only
Interest filter
People filter
Rating filter
Key marketing instruments
Traffic
More than 1500 users per day enter the site
organic
Registering one new user for money costs $0.7
Promotion
Campaigns in social networks (VKontakte,
Facebook)
Google adwords
SEO
Loyalty
Rewards for active participants
Achievements for active users
Partnership
Reposts to largest social platforms
The «Surf» button
A partnership program
Our goals for 2013 and 2014
Technological development
Multifactor recommendations
Social graph recommendations
Trend recommendations
Smart friendship suggestions
Automatic social moderation
User categorization by behaviour
patterns
In-site search
Content semantic analysis (search
doubles, spam, brands)
Widgets for net-connected TV
Business development
International expansion (West
Europe, Turkey, Brazil, Asia)
System patented
Operation break even
Financing
Raised $2,5 mln. in July 2011 from
private investors and experts
20% post money belongs to current
CEO and CTO
Seeking $3 mln. series B round for development over the next two years; the
money can come in parts over this period as Surfingbird reaches the milestones
agreed upon with the investor
Do not hesitate to contact us:
shalaev@surfingbird.com
+7 926 594 8239
Sergei Shalaev - CEO Surfingbird

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Surfingbird for-sk

  • 1. Our target: to become #1 recommendation platform July 2013
  • 2. RESULT: •Confusion •Low advertising efficiency Problem: to much information Peers and users Hundredth millions of web pages, video, photo etc The customer Cluttered with information on the Web Not sure what he/she wants Brands and advertisers Ways to promote on the web High competition for user attention Videos Posts Photos Promo websites Groups Pages Banners
  • 3. Solutions Surfingbird is a new way to browse the web It is an alternative to search engines and social networks. It focuses on users’ interests and so allows us to create a database of user behaviors. Search When the user knows exactly what he wants Social networks Information and behaviour predefined by the set of friends
  • 4. Easy registration 1. User enters his e-mail or registers via a social network 2. Specifies his interests so the system can select content especially for him
  • 5. Engaging one click surfing Pages and other content are shown “as is” below a Surfingbird panel; the panel has the “Surf” button and other functions for surfing convenience and other actions Next page based on users’ interests Special filters related to the current page Surfing based on one or several interests
  • 6. Share/Like Surf button is already on the largest Russian sites: More than 50 million users see Surf button per month …and hundreds more.
  • 8. Team Sergey Shalaev CEO Team leader/Inspirator/ Product development Extensive experience in top media resource Mail.ru. IT team management in WMJ Sergey Nikolenko R&D director Wide research experience in computer science, mathematics, machine learning. More than 30 international research papers, 5 books. Winner of international and Russian grants (INTAS, Presidential grants) Dmitry Shalashov CTO Launch of 3 successful IT projects in Mail.ru IT development for Parallels and Yandex Alex Lopatik Sales Director More than 7 years in digital . Sales in : afisha.ru, rutube.ru; Client director in IVI.ru
  • 10. Surfingbird: leading innovation From the mathematical and technological viewpoint, the project is based on the Tachikoma recommender system, produced by a team of mathematicians and developers. At present, Tachikoma is based on collaborative filtering: GroupLens and its modifications SVD and SVD++ Restricted Boltzmann machines Further directions for development include: Content analysis of the web pages Employing the interest graph and social graphs Presenting serendipitous recommendations and much more
  • 11. Surfingbird going well Surfingbird is an international startup created in 2010 by a team of professionals with media/IT/finance/marketing backgrounds Revolver Our major source of income are targeted and direct shows of pages and other content sponsored by clients Recommendation engine The company owns a unique collaborative filtering and recommendation engine developed internally Investments 1st round of investment ($2,5 mln.) by top international managers/venture investors To date: 1 000 000+ registered users about 900K page views every day You can find more detailed information about our product in “Surfingbird product description”
  • 12. Monetization: sponsored recommendation Market size 2013 Internet advertising budget in Russia: $1.8 bln (increased by $0.5 bln over last year) Internet advertising budget in Europe: $37 bln (increased by $7 bln over last year) Our commercial product We sell direct relevant page views and other content views provided by the clients (advertisers) to users actively interested in this information. Every tenth page shown to the user after he clicks "SURF" may be a sponsored page Our clients Media advertisers (direct clients and communication groups) and publishers (content platforms that need additional traffic) Options for clients Targeting: by topic, by social and demographic information, by geography. Complete control over the advertising campaign; the client is able to plan his/her budget up to the last dollar.
  • 13. Surfingbird – only relevant advertising The user specifies his/her interests1 We filter materials by their interests2 We find similar users in order to show web sites they have viewed 3 We select only content highly rated by other users 4 Pages are shown under the Surfingbird panel. Views of pages provided by advertiser may constitute up to 20% of all views RESULT: Relevant materials only Interest filter People filter Rating filter
  • 14. Key marketing instruments Traffic More than 1500 users per day enter the site organic Registering one new user for money costs $0.7 Promotion Campaigns in social networks (VKontakte, Facebook) Google adwords SEO Loyalty Rewards for active participants Achievements for active users Partnership Reposts to largest social platforms The «Surf» button A partnership program
  • 15. Our goals for 2013 and 2014 Technological development Multifactor recommendations Social graph recommendations Trend recommendations Smart friendship suggestions Automatic social moderation User categorization by behaviour patterns In-site search Content semantic analysis (search doubles, spam, brands) Widgets for net-connected TV Business development International expansion (West Europe, Turkey, Brazil, Asia) System patented Operation break even
  • 16. Financing Raised $2,5 mln. in July 2011 from private investors and experts 20% post money belongs to current CEO and CTO Seeking $3 mln. series B round for development over the next two years; the money can come in parts over this period as Surfingbird reaches the milestones agreed upon with the investor
  • 17. Do not hesitate to contact us: shalaev@surfingbird.com +7 926 594 8239 Sergei Shalaev - CEO Surfingbird

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