2. Founding Team
Rakshit Daga
Founder & CEO
Sumit Mishra
Founder & CTO
Prashanth Adiraju
Co-Founder &
Chief Product Officer
Each founding member brings 15+ years experience defining, developing & selling technology products
3. We personalize Big Data
Our mission is to dig deeper, find valuable information hidden in
the noise and gain insights that are actionable
Source Agnostic Data Discovery,
Mining & Structure Extraction
Cloud scale – Massive Volumes Of Data
State of the art NLP / Machine Learning
to derive industry specific dimensions
Customizable analytics with industry
leading visualization techniques
Big Data Approaches for Customer Acquisition & Customer Service
Technology
Business Intelligence
Sales Leads
Customer Service
Use Cases
4. Technology summary
Source Agnostic Data Discovery, Mining &
Structure Extraction
Cloud scale – Massive Volumes Of Data
State of the art NLP / Machine Learning to
derive industry specific dimensions
Customizable analytics with industry
leading visualization techniques
Technologies for improved ad targeting & to reach users efficiently
5. Use Cases
Insights relevant to the
business : Business
Intelligence
Manage your customers :
Customer service
Grow your business :
Sales Leads & Social Ad
targeting
7. Key Insights for Microsoft Ventures
MV lags
mentions
Google & 500
Startups – 80% of
the volume
Share of Voice
Google 500 startups Microsoft
Sue Robinson
Mellisa Finicchio
Greg Martin
Dave Mcclure
Sean Percival
Marvin Liao
Ravi Narayan
Rahul Sood
Google
Intellectual
Ventures
Ionic Security
Axis Capital
Ardent Capital
Facebook
Microsoft
Google
Knight
Foundation
#google
#ux
#startuo
#startup
#bitcoin
#500strong
#canadian
#startup
#microsoft
Co. design
Tech Crunch
Fast Company
The next web
Tech Crunch
500 Startups
Tech Crunch
Nicolas Petit
Startup Canada
People
Relationships Comparison
Company#Influence
Internet of things more strongly
related to Google ventures
8. Case Study : Microsoft Ventures – Social Context, Influencer Analytics
ACQUISITION
LAUNCH
OTHER
EVENT
FUNDING
IN TALKS
STARTUP ADVICE
36%
15%
37%
Wearable tech
drove most of the
news
2.
1.
3.
4. Social Monitoring Data
SOV Mentions
Buzzing
hashtags influence
sentiment
CATEGORIZATION Who / What is
driving the most
influence
5.
What is
interesting
Influencers
(people)
9. Election Edge for social media campaign
Engage Voters on issues that matter to them
0 100 200 300 400 500 600 700 800 900
Communal
Climate Change
Pollution
Hospital
Beautification (e.g. Parks)
Police
Water Management
IT Infrastructure
Economy
Housing
Corruption
Women Empowerment
Waste Management
Education
Infrastructure
Governance
Traffic
22%
23%
10%
13%
3%
1%
1%1%1%
7%
9%
9%
roads potholes flyovers electricity
walkways bike paths foot path airport
metro bus services auto taxi
Social Media – What voters are talking about Manage Conversations about You
Social Media Mentions by Party
Build Social Mind Share
Party Sentiment volume
congress Negative 3200
TDP Positive 4123
0
100000
200000
300000
400000
500000
600000
Alerts
10. Case Study : OLAM – Business Intelligence
Top interests
Most read
Top Topics
Trending
14. Qurater provides the
deepest social ad
targeting intelligence
for specific high value
verticals
Find the right customers with better
targeting and reach them efficiently
DEMOGRAPHIC
Age, Gender
PERSONAL
City, Birthday, Education, Workplace, Education
SOCIAL
Likes, Interests,
CONTEXT
Purchase Intent
15. Our goal - help Brands improve social media ad ROI
facebook
CONTEXT
Demographic, personal,
social & behavioral
QURATER
CONTEXT
Purchase Intent from
social conversations
0
20000
40000
60000
80000
100000
120000
facebook
Google
(adwords)
0.20%
5.23%
Retail CTR
Opportunity to
improve is
significant
16. Qurater Context
1. Deeper understanding of vertical specific dimensions (e.g. price segments,
product features)
2. Purchase intent – specific intent to buy a product
3. Aggregate Customer intent – brand/product demand prediction based on
social signals (positive or negative)
4. Correlation models tying verticals – e.g. A person interested in a high value car
is more likely to buy a premium phone or buy premium fashion accessories.
17. Improved ad targeting with Facebook integration
CTR
CPA
Interest,
demographic
targeting
Interest targeting lets you
target everyone who has
expressed a specific
interest in any topic
Context
(Purchase intent)
targeting
Context targeting lets you
target everyone who has
expressed purchase intent for
a specific product
Qurater integration with
facebook
(custom audiences)
18. Opportunities
discover based on industry
specific dimensions
Sales Funnel
narrow down your opportunities
based on specific criteria
Leads
generate based on your sales
funnel
Analytics
actionable insights based on
industry specific dimensions
Email targeting
Personalized messages & offers
Ad optimization
facebook & twitter integration
19.
20. We personalize Big Data
Our mission is to dig deeper, find valuable information hidden in
the noise and gain insights that are actionable
Source Agnostic Data Discovery,
Mining & Structure Extraction
Cloud scale – Massive Volumes Of Data
State of the art NLP / Machine Learning
to derive industry specific dimensions
Customizable analytics with industry
leading visualization techniques
Big Data Approaches for Customer Acquisition & Customer Service
Technology
Business Intelligence
Sales Leads
Customer Service
Use Cases
