We are living in super connected world sharing billings of posts each day. Social Media changed the way how we consume information and interact. Did you know that your customers are 57% through the buying cycle before they contact you? Social data is a great way to get real time insights into your customers journey, planning and optimizing campaigns, generate leads or discover and nurture relationships with influencers. We will show you how to make social actionable

2. 20%
expect a response
within one hour via
social media
44%
of consumers
complain via social
media
1.2b
posts per day just
on Facebook and
Twitter alone
57%
through the buying
cycle before they
contact you

3. Publish social
content
Monitor campaign
effectiveness
Manage brand
reputation
Nurture Influencers
MARKETING SALES
Work better
together
Intercept buying
signals
Enriched insights
Customer
collaboration
SERVICE
Social customer care
Knowledge
management
Early warning
system
Measure customer
satisfaction

4. Social: Biggest Opportunities - FIS
Customer Experience
Understand your customers
User expectations
Trends & Innovations
Learn from Competitors
Customer Engagement
Customer self-service
Social Media Marketing
Brand reputation & presence
Social campaigns
Consumer recommendations
Nurturing of Influencers
New Business
Models
Crowd sourced models
P2P lending
P2P Micropayments
Community Banking
Long tail
Risk
Management
Discover market and
customer risks in real
time
HR
A great place
communicate your
messages and spot
for top talents
Collaboration
Internal collaboration
to maximize the
network and
knowledge
Analytics &
Big Data
Generate actionable
signals and support
business decisions

6. 6
Lead Generation for Ernst &
Young – Transaction
Advisory Services
Push deal alerts to sales by tracking
and analyzing M&A rumors
connected to the CRM system
Example: Ernst & Young – Lead Generation
Merger
Acquisition
Investment
Seller
Deal Volume
Buyer
Target
Broker

7. Magic ? CRM System
Account – Sales
Relation
Social
Listening/Analytics
API
Data
Posts
Tweets
Rewteets
Likes
Shares
Sales Team
Actions
Phone CallsSignal Detection
Grouping
Distribution

8. Get
the data
1
STEP Analyze
the data
2
STEP Identify the
sales person
3
STEP Deliver deal
alert
4
STEP
►
Social listening/
monitoring to detect
and collect the data
►
Natural Language
processing to identify
target, buyer, deal
volume in the text
►
Create an M&A Event
►
Check with existing M&A
databases if case is
already identified
►
Merge with CRM data
to find out who is
responsible for that
account
►
Send mail/notification
and create and
opportunity

9. Analyze
the data
2
STEP
►
Natural Language
processing to identify
target, buyer, deal
volume in the text
►
Check with existing
M&A databases if case
is already identified
►
If not – you have a
rumor
Entry
Buyer Microsoft
Target Skype
Dealvolume n.a.
Post
«Microsoft may take over Skype»

10. Analyze
the data
2
STEP
►
Natural Language
processing to identify
target, buyer, deal
volume in the text
►
Check with existing
M&A databases if case
is already identified
►
If not – you have a
rumor
Entry
Buyer Microsoft
Target Skype
Dealvolume n.a.
Post
«Microsoft may take over Skype»
Post
«Microsoft buys Skype for 8.5 b$ »
Entry
Buyer Microsoft
Target Skype
Dealvolume 8.5 b $
Event
Buyer Microsoft
Target Skype
Dealvolume 8.5 b $

11. Analyze
the data
2
STEP
►
Natural Language
processing to identify
target, buyer, deal
volume in the text
►
Check with existing
M&A databases if case
is already identified
►
If not – you have a
rumor
Event
Buyer Microsoft
Target Skype
Dealvolume 8.5 b $
M&A Database
Buyer Microsoft
Target Skype
Dealvolume 8.5 b $
If not included  may be a rumor
?

12. Identify the
sales person
3
STEP
►
Merge with CRM data
to find out who is
responsible for that
account
Event
Buyer Microsoft
Target Skype
Dealvolume 8.5 b $
Rumor yes
CRM
Account Microsoft
Sales Max Higgs
Email m.higgs@contoso.com

13. Magic ? CRM System
Account – Sales
Relation
Social
Listening/Analytics
API
Data
Posts
Tweets
Rewteets
Likes
Shares
Sales Team
Actions
Phone CallsSignal Detection
Grouping
Distribution
Magic ?
 API’s
 Natural Language
Processing
 Machine
Learning/Rule based

15. Corporate Banking – Cross/Up selling

16. Your Fans!

17. Your Audience on Social Media?