This document introduces a data-as-a-service cloud that aims to disrupt the B2B marketing data industry. It provides an alternative to purchasing static lists or using data resellers by offering a flexible data subscription model on a cloud-based marketing data platform. Subscribers pay only for the most relevant data and benefit from real-time accuracy updates, cost savings of 50% on marketing budgets, and guaranteed increases in deals and data accuracy compared to traditional list purchases. The platform can be used for sales, marketing, CRM, and analytics use cases.

1. Data-as-a-Service Cloud
Disrupting B2B Marketing Data Industry
Data-as-a-Service

2. Do you still buy data @
50 cents per email contact?
$1 per contact record?

3.  When a contact changes job, $1 per contact
record invested is wasted real-time
 Static list purchase has the highest
percentage of marketing dollar wastage
 Flat fee lists has the lowest accuracy rate
Reality

4.  90% of legacy data vendors are data
resellers & data brokers
 Resellers buy data from each other and
sell you at a higher price
 30% of static list data will turn inaccurate
within weeks
Untold Truth

5. Questions
 Do you sell into millions of mom and pop shops?
 Why do you need hundreds of irrelevant contacts?
 What is your sales team bandwidth?
 What is your addressable target market?
 Why wasting marketing dollars on repeated stale list?

6. An alternate to static list
purchases & data re-sellers
Data-as-a-Service Cloud
Award Winning Product

7.  An all-in-one marketing data platform in the cloud
 More data, more insights, higher accuracy
 Flexible data subscription model
 Real-time data accuracy and maintenance support
round the clock
ProspectR

8.  Only pay for what you need and most relevant to
you
 Low cost subscription plans
 Research OnDemand support
 Global coverage of total addressable enterprise
market
Benefits

9.  50% marketing budget saving from flat fee data
purchases
 95% data accuracy with realtime data refresh support
 50% more deals
 Accurate CRM data
 Strong predictive lead score
Guaranteed Results

10. Use Cases

11. Sales, Inside Sales, Channel Sales
 Prospecting tool to access sales intelligence such as
company profile, contacts, competitive intelligence &
sales triggers events
 Prepare better for contextual sales dialogues
 Discover actionable sales leads

12. Marketing
 Data tool to avail marketing insights
 Design and implement data driven, account based
marketing campaigns
 Execute data driven field marketing, tele marketing, email
marketing & digital marketing campaigns
 Drive audience to marketing events

13. CRM
An integrated data tool to maintain CRM
data accuracy with real-time and ongoing data
refresh & accuracy maintenance

14. Analytics
Add relevant and accurate data insights to
strengthen predictive lead scoring and marketing
decision support

15. Experience
Data-as-a-
Service Cloud
video here
See How it Works

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Data-as-a-Service