BookLikes - book-based social service that recommends great books based on your reading preferences. It’s a complete website for book-lovers. BookLikes gives only individualized book recommendations, books that really define you. New kind of social algorithm takes into consideration users’ reading preferences, general book information and category it belongs to as well as individual social experience. Due to that unique solution we give BookLikes members great personalized book recommendations even from newly entered book category.

2. THE BL-TEAM
currently:
already created:
The biggest Polish website with
local promotions in retail stores.
Dawid Piaskowski dr Joanna Grzelak Wojtek Andrzejczak
Co-Founder and CEO Co-Founder and CMO Co-Founder and CTO

3. PROBLEM #1
ONE (PLACE) TO RULE THEM ALL?
•Paper Books •eBooks •AudioBooks
•Kindle books
•Kobo books
•Nook books
•PDF’s
•Apple iBooks
•other

4. PROBLEM #2
CHOICE
>1.000/day
paper books published in USA.
So there is a lot of books to choose from...

5. PROBLEM #3
WHAT ABOUT BOOK LOVERS?
•Music •Movies

6. Complete social service for book lovers that recommends
great books based on users’ reading preferences.

11. HOW DO WE EARN MONEY?
currently
• Affiliate Programs - 5%-15% from sale
future
• Targeted Ads
• Premium API
• Premium Analytics

12. MARKET: MONEY
Value of online book sale market.
Most Popular Online Purchases
(by Nielsen) 0 10 20 30 40 50
Books 41 %
Cloths/Shoes/Accessories 26 %
Videos/DVDs/Games 24 %
Airline tickets 24 %
$4,2 billion Elelctronic equipment 23 %
Music 19 %
Cosmetics 19 %
Computer Hardware 16 %
Tours 16 %
Event Tickets 15 %
Computer Software 14 %
$2,7 billion Groceries
Other
14 %
34 %

13. MARKET: PEOPLE BUYING
BOOKS ONLINE
>340.000.000
only in:
and

14. Number of users in mln
400
300
200
HUGE
opportunity
100
0
Market Goodreads Librarything Shelfari weRead anobii lovelybooks

15. HOW ARE WE INNOVATIVE?
•Recommendations engine
•Multilingual
•Biggest book database
•Context-based discussions
•Not only Amazon bookstore

16. RECOMMENDATION ENGINE
Recommendations from booksellers:
“Customers Who Bought This Book Also Bought”
Today people who are looking for new books have to use
recommendations from booksellers. Those recommendations are
based on books they bought, not whether they liked them or not.
And it’s still limited to the books that are in stock only in one
bookseller.

17. RECOMMENDATION ENGINE
because we are really proud!
BookLikes combines all of your reading
experiences...
...and gives you the best individual
book recommendations.
working in real-time
learning from users’ behavior

18. HOW ARE WE GROWING?
Number of users
20,000
BookLikes at
15,000
12th-14th September 2011
10,000
Launched at 12th August 2011
5,000 import from
14th June 2011
Visual Bookshelf
0

19. THEY WROTE ABOUT US.
“BookLikes is a missing link between Facebook and Amazon.”
Tip Hero Staff's Pick for Website of the Week 9/19/11
If you're an avid reader that's looking for a better
reading experience overall, be sure to check out
BookLikes for yourself!
BookLikes.com Attempts
To Out-Suggest Amazon

20. VISION & FUTURE
• Complete Social Platform for book lovers;
• Effective Marketing Platform for authors
and publishers;
• Precise Analytical Platform for authors and
publishers;
• Open Platform for developers;
• Solution for collecting and reading all your ebooks
(incl. PDF’s, DOC’s) in the cloud;

21. SOON ON
GERMANY

22. THANK YOU!
Dawid Piaskowski dr Joanna Grzelak
0048-666-326-326 0048-604-282-204
dawid@booklikes.com joanna@booklikes.com
@DawidPiaskowski @JoannaGrzelak