This document discusses Rankwave's social CRM platform-as-a-service called Rankwave Connect. It summarizes that Rankwave Connect allows enterprises to analyze user's Facebook data through connecting their access tokens to Rankwave's social data analysis platform. This provides enterprises with analyzed customer data that can be used for targeted advertising, local sales/marketing, brand management, product promotion, and business partnerships.

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Social CRM Platform
as a Service
RANKWAVE, 2014

2. Market Background
Background
Market of CRM solution is growing consistently because CRM is very useful in increasing
enterprises’ performance through analyzing and understanding of customers’ characteristics.
1
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Source : Gartner, 2013
20,797
23,886
27,537
31,729
36,509
2013 2014 2015 2016 2017
Market Size of CRM Solution Effectiveness of CRM Solution
TESCO
Increase coupon
usage rate
based on analysis
of each customer’s
frequently
purchased item
ORIX Group
Providing financial
service based on
analysis of ORIX
Auto Lease
customers’ financial
status

3. Market Opportunity
Social big data enables enterprises to perform more elaborate CRM. In case of Facebook, it has
over 1.2 billion users which is larger than any other company’s and provides over 130 Graph
APIs which allows 3rd parties to analyze customer’s characteristics more widely and deeply.
Graph API
130
+
Graph API of Facebook for 3rd parties
2
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Facebook Users of Wordlwide
MAU
1.2 bil.
+
DAU
0.8 bil.
+
Background
*Registered member of Amazon is 0.2 billion

4. Graph
API
Social Big
Data
Solution of RANKWAVE
RANKWAVE has built its own analysis platform which can analyze social big data with utilizing
various Graph APIs and now is providing Social CRM platform based on the analyzed social
data.
Social
CRM
3
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Solution of RANKWAVE
Social
Analysis
Platform
Background

5. Targeted AD based on Analyzing Social data
Effectiveness of Social CRM
CTR of Social Target AD based on analyzing customers’ social data is much higher than the
average CTR of Facebook AD.
4
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Movie Sports Internet Health Average of
Facebook
CTR of RANKWAVE Social Target AD implemented on Facebook

6. Marketing Event based on Social Influence Power
Social influence power can be used for marketing events if social data is analyzed. A small
number of social influencers have a 4 times more advertising effect than a large number of
general participants.
5
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427,766
1,496,023
A – a event for social
influencers
B – a event for general
participants
A marketing event that 30
social influencers shared
product information about a
brand on their timeline.
Case A
A marketing event that 300
general participants shared
product information about a
brand on their timeline.
Case B
Number of Reach
Effectiveness of Social CRM

7. Social Big Data Analysis of RANKWAVE
Social Big-Data Analysis Platform
Analysis of RANKWAVE makes unstructured social big data into structured and organized
personal information through analyzing users individually.
6
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Social GraphDemographic
Name
Age
Birthdate
Gender
Marital
Academic
School
Major
Residence
Address
Nationality
Job
Status
Interest Graph
Brand
Celebrity
Music
Activity Graph
Checkin
Invitation
Analyzed and Organized Personal Information
Life Event
Brad Fahey
32
Aug. 2, 1980
Male
Married
Graduate school
UCLA
Business
LA
Hollywood
USA
IBM
Manager
Starbucks
Nike
iPad
Sears
Brand Pitt
Angelina Jolie
Mariah Carey
Eagles
Bon Jovi
Lady Gaga
Disneyland
Dodger Stadium
Rodeo Street
Tokyo
Lady Gaga Concert
Camping
Friend Jane
Age 32
Gender Female
Marital Married
Interest Cooking
Checkin Grand Canyon
Family Stacey
Age 38
Gender Female
Interest Travel
Checkin New York
Birthday 32nd in Aug.
Family Son’s Birthday
Father’s Birthday
Job Promoted
to manager
Residence Moving in to SF
in Jun.
Unstructured Social Big Data

8. RANKWAVE Connect - Social CRM Platform-as-a-Service
Solution Introduction
7
RANKWAVE
Facebook
Enterprise
Analyzed
Data
RANKWAVE Social Big Data Platform
Access Token
Raw Data Demographic
Geographic
Interest Area
Social Relationship
 Gender
 Age
 Academic Background
 Martial Status
 Residential Area
 Visited Place
 Favorite Place
 Favorite Brand
 Favorite Keywords
 Invitation Schedule
 Event Schedule
 Social Influence Power
 Close Friends
 Communication Style
 Activity Time Zone
Social CRM Data
RANKWAVE Connect is a platform-as-a-service which enterprises can convert their user’s
Facebook data into the Social CRM data through connecting their user’s access token to the
platform.
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9. Features of RANKWAVE Connect
Solution Introduction
RANKWAVE Connect provides elaborate customer analysis immediately right after starting to
use so that helps enterprises’ project to be performed in time successfully. It also saves time and
cost to install and maintain the system because it is provided in PaaS format.
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Supporting up-to-date information with 24
hours real-time data collection and analysis
Elaborated customer analysis with using over
130 Graph API
No installation and maintenance cost
required because it is provided in PaaS format
Providing analyzed information within 10
minutes right after starting to use
Data
Aggregation
Analysis and
Filtering
Delivering

10. Competitive Edge of RANKWAVE Connect
9
Enterprises can use RANKWAVE infrastructure only with inserting “Graph API Call” into their
web or app service programming. Using RANKWAVE infrastructure is also highly competitive in
terms of cost.
GET /oauth/access_token?
client_id={app-id}
&client_secret={app-secret}
&grant_type=client_credentials
Insert “Graph API Call”
UsingRANKWAVE infra.Buildingyour own infra.
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Competitive Price
0.5 cent
for analyzing 1 user / month
10 million dollars
only for social data
platform installation
Very simple “SNS Oauth” from inserting “Graph API
Call” into the programming
“One” Simple Procedure
Solution Introduction

11. Expected Effectiveness from RANKWAVE Connect
10
Social Big Database strengthen the enterprise’s competitiveness remarkably because it is based
on individual analysis of social media user. Therefore, the database can be used for different
enterprise’s business
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Digital AD/ Targeting AD
• Tailored advertising message / contents for
target group
• Increase brand engagement by providing
relevant content to consumers
Local Sales / Marketing
• Identifying target customers’ visiting places
for offline sales and marketing
• Establishing local sales and marketing
strategy based on target’s preference
Brand Management
• Establishing new product development
strategy and designing product experience
through customer trend analysis
• Co-marketing with brands which are favored
by target customers
Product Promotion
• Up-selling / cross-selling promotion based on
Fans’ interest area
• Marketing event for churn-in through
analyzing customers of competitors
Media Utilization
• Tailored marketing event for social media
usage patterns of target group
• Establishing marketing strategy with social
influence power to maximize advantage of
social media
Business Partnership
• Co-marketing with Facebook Fanpages
which have high relevance with a client
• Co-marketing with a brand or celebrity
which is influential to customers
Solution Introduction

12. Company Introduction
Company Overview
RANKWAVE is a social big data business company founded by key people from
Cyworld/NateOn(Korean big social media services). RANKWAVE provides social big data
solutions which all enterprises must utilize for their success at the age of SNS.
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Company Name RANKWAVE Co., Ltd.
Founder & CEO Sungwha Shim
Founded February 1, 2012
Office Deoksan Bldg. 301, Bangbae 852-1, Seocho, Seoul (137-837)
Industry Social Big Data
Products RANKWAVE Connect
Social Marketing Services (Social Influence Marketing, RANKPLACE)
Social Analytic Services (Social BI Solution, Real-time Social Issue Alerting)
Employees 12 (2014)
Website www.rankwave.com
Facebook www.facebook.com/RankWave

13. Technology
Company Overview
RANKWAVE holds patented algorithms for analyzing social big data. Amazon Web Service
credited RANKWAVE Platform for one of excellent system architectures.
12* http://www.slideshare.net/awskorea/rankwave
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Patented Core Algorithms Credited System
Credited by Amazon for an excellentsocial big data platform*
Patents
Social media
contents analysis
Method and apparatus for setting
data value
KOR. 10-1346287, PCT . KR2013-001764
Social influence
power analysis
Method and apparatus for setting
user influence value in network
service
KOR. 10-1346288, PCT. KR2013-001750
Social influence
marketing
business model
Method and apparatus for
providing advertisement
information
KOR. 10-2012-0112677, Patent-pending
Holding patented algorithms for analyzing social big data

14. Social Analysis Product/Service of RANKWAVE
Social Analysis Product/Service
RANKWAVE is providing social analysis products and services based on source technology in
social big data analysis.
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100
Social Influence Marketing
SNS Viral Marketing Service
We know who has strong social influence in various category
and use them for target marketing to maximize viral effect .
Clients can take advantage of building their brand image and
recognition.
RANKPLACE
Location-based Marketing Platform
We use check-in data for providing users with ‘personalized
service and advertising’ based on where they are placed in real-
time. This service enables local stores to increase their sales
with personalized marketing activities
Real-time Social Issue Alerting
24 Hour SNS Monitoring Solution
For 24 hours, We are monitoring social keywords which clients
concern through our real-time social analysis. We alert situation
to our clients via SMS as soon as we find out any abnormal sign
about the keywords
BIGCUBEWAVE
Social Business Intelligence Solution
We provide Facebook user analysis data for clients in real-time.
Clients can do cross-tab analysis in detail with 14 filters No
installation and maintaining cost is required because this is
provided based on SaaS.
Social Marketing Services Social Analytic Services

15. References
Social Analysis Product/Service
RANKWAVE has experience and capability to undergo marketing and research
projects with big companies in Korea.
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Social influence marketing project
based on social analysis for Styletag
(a fashion item curating mobile
app)
Contents recommendation system
based on the result of social data
analysis

16. CONTACT
TEL : 82-2-537-4849, 82-10-6603-5604
E-mail : hskim@rankwave.net
Homepage : www.rankwave.com
: www.facebook.com/RankWave
THANK YOU