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big data and analytics
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Qurater Business Edge Big Data Approaches for Customer Acquisition & Customer Service
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
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
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
Use Cases
Insights relevant to the business : Business
Intelligence
Manage your customers : Customer service
Grow your business : Sales Leads & Social Ad
targeting
Use Cases
Insights relevant to the business : Business
Intelligence
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
Peo
ple
Relationships Comparison
Co
mp
any
#
Influ
enc
e
Internet of things more strongly related to Google ventures
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)
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
Case Study : OLAM – Business Intelligence
Top interests
Most read
Top Topics Trending
Use Cases
Manage your customers : Customer service
24
5
45 31
27
9
1. Battery 2. Screen 3. Network
4. Service Center 5. Software 6. Other
Service Complaints Volume
Complaints Categorization
2 12
9
18
4
15
A500 B700 Q600 Q800
Product Categorization
0 50 100 150
Channel Categorization
0 20 40
KA
AP
TN
MH
JK
DL
MUM
GOA
KL
UP
AP
MI
NG
Pla
ce
Ca
teg
oriz
atio
n
XOLO – Customer Service
Use Cases
Grow your business : Sales Leads & Social Ad
targeting
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
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
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.
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)
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
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