20111

20112

Get unique and instant snapshot of your personality transformed into book library.

E-contenta performs Facebook data analyses, identifies your preferences and recommends books to read.

20113

E-contenta is a predictable analytics platform focused on using social media data to provide more targeted purchase recommendations to users and more effective marketing strategies for e-commerce companies

“Special sauce”, personalized recommendation system based on social media and online user behavior, allowing for higher success rate in selling e-books, movies, audiobooks and music.

First release of E-Contenta will be based on integration of Facebook-sourced data with Amazon’s product offerings. Both systems have open API. Recommendation algorithms will based on social media behavior, while Amazon will serve as a book catalogue.

Expecting revenue of $8.8 million and EBITDA of $1.8 million in the 1st year after the product launch

Our mission is to be the best proactive recommendation system and achieve revenue of $20-$50 million in 3-5 years

Executive summary

20114

Around 80% of readers prefer

digital book to paper because it’s easier

to find and read while travelling

US e-book market is the biggest in the world: $2,79

billion

70% buy e-books on Amazon

The share of e-book market in US is growing from 0,6% in

2008 to 10% in 2012 (in some genres up to 25%)

38% prefer tablets as a key device for e-reading (+25%

growth compared to 2011)

60% of tablets users can be found in the

airports

FB is the leader: 1 billion active users

(2012)

All adult internet users who use social networking sites increased from 8% in

2005 to 65% in 2011 (WW)

Trends that initiated the E-contenta business idea

20115

E-Contenta BooksUS market English Focus on travelling Recommendations: Facebook analysisAmazon/OverDrive/B&N, etc. Web and mobile, app

20116

How it looks like? E-Contenta 1st release

20117

Where are we moving? 2nd release concept

Tag words

concept!

20118

Value Proposition

20119

E-Contenta recommendation modules

201110

Architecture

201111

1. Check-in at the airport2. Get a Facebook or other ad 3. Apply for E-contenta app 4. Get personalized recommendations 5. Refer friends and get points that can be exchanged

for discounts on purchases

How to get first users?

201112

Promo and outdoor ads in the airports

Joint campaigns with airport internet providers, airport restaurants and cafes and airline companies

Joint campaigns with publishing houses

Joint campaigns with tablet producers

Offline

OnlineMarketing

201113

Allows e-tailers to have more targeted

approach to their potential consumers

Facilitates targeted selling of e-books,

audiobooks, movies, music or media

items/subscriptions to customers

B2C

B2B

Business models

201114

Hypothesis

• People will look for something interesting to read, watch or listen while travelling

• They are interested in getting personalized recommendations

• They will start using E-Contenta

• The most satisfied users will recommend the app to friends

Metrics

• App views/app users = 70%

• Paying users/users = 15%

• % of those who share information in FB friends community – 35%

• Repeated purchase – 40% from DB every 2nd month

201115

Competitors

201116

Competitors do not have social network strategy and prefer to work within their stand-alone portals

Amazon-60-70%, BN-20%, iBooks-10%, others (Books-A-Million, Kobo, Sony and others)

Classic recommendation system is based mostly on previous reading, viewing and ratings

The only feature based on info taken from social media is displaying what your Facebook friends are reading, [watching, listening]

There is specific niche that could be carved – be proactive, adapt to individual preferences and react to needs and wishes of every particular user

Competitor s

201117

Geo-expansion Integration with new social

networks New content types =

transmedia New knowledge map schemes

=more and more personalized recommendation approach

Strengths Growing market of e-books,

audiobooks, movie and music downloads

Micro payments Agent role = minimum of risks E-business = logistics

transparency Statistics = effective service

management

Dependence on large and powerful players in the digital world

Competitors Market immaturity

Ability to execute on the business plan

Adoption of the product Potential competition from e-

tailers if they decide to copy the strategy

Weaknesses

Opportunities

Risks

201118

www.e-contenta.com+79218629604Zoya Nikitina