metadata.io - an overview

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Closed Loop Account Based Marketing - Take the guess work out of your content marketing efforts with our patented account-based targeting platform.

Marketing

B2B Demand Generation Engines on Auto-Pilot
DO NOT DISTRIBUTE. FOR INQUIRIES CONTACT GIL@METADATA.IO 1

2
2014 Jan 2015 Jul 2015 Jan 2016 Jul 2016
CMOs in B2B
Are Going Through Changes
• Pipeline Oriented
• Large Budget
• Quality vs. Quantity (e.g. ABM)
• Data-driven vs. Guesses

The Modern Marketer
Too Many Siloed Solutions
NO
AUTOMATION
OR
INTEGRATION
3
DATA
SOURCE
BUYER
INSIGHTS
LEAD
GENERATION

How It Works
Plug Metadata to
Existing Systems
Output =
Predictable Inbound Lead Flow
402,946
Total Impressions
6,482
Total Clicks
3,002
Total New Leads
2,402
Total MQLS
720
Total New Opportunities
$647,390
Total Amount
4
Salesforce
Hubspot
Marketo

Built in Automation,
Always learning
Sales + Marketing
Closed Loop
1 2 3 4
5
6
78
ICP
Enriched Lookalikes
Advertising
Channels
Facebook
(Personal)
LinkedIn
(ABM)
DSPs
(Cookies)
Twitter
(Personal)
Pull from CRM
Accounts & Contacts
& Opportunity
Enrichment
Contacts &
Accounts
Profiling /
Scoring
Decision-tree
(artificial intelligence)
Classification
(machine learning)
Campaign
Management
• Budget
• Creative
• Bid
• Tracking
• Enrichment Tag
• AI Learning
• Audience Refresh
• Collateral Flow
5

6
Largest B2B Data Search Engine
(demographics, technology, buyer intent)

7
VP Marketing Dashboard Account-Based View for Sales

8
Hundreds of Monthly Experiments on Auto-Pilot

$9 Traditional Solutions (manual) bringing traffic to website Marketing ops individual multiple solutions for insight, data vendors and ad campaigns Impressions and Clicks manual a/b testing by marketing ops team + Excel relying on data crawled & scraped from public web only re-targeting Metadata (automated) Engine accelerates existing opportunities and generates a predictable lead flow A.I. operator that executes x100 marketing experiments at a fraction of a cost, no churn Access to clients CRM allows our solution to optimize campaigns on pipeline creation Agile - Multivariate Testing (scale volume to thousands of experiments) Data - Largest B2B search engine based on buyer intent, demographic and technology data Targeted advertising on both social and re- targeting vs. vs. vs. vs. vs. vs. Competitive Advantage Traditional Solutions$

Customer Case Study: Pipeline Quality & Predictability
A.I. Operator Driven By Impact on Pipeline and MQLs
Constant Increase in Lead Flow Quality Scale Quickly (media processed)
11

I looked for a
solution to help me
target right
audience.
GONZALO MANNUCI
DIRECTOR OF DEMAND
GEN
Predictable pipeline
on autopilot.
VERNON VASU
CO-FOUNDER
A positive ROI within
months of the
engagement.
GAURAV SAINI
DIRECTOR OF GROWTH &
ACQUISITION
12

13
Metadata has received recognition for its
disruptive technology
from SXSW, Gartner, Digiday, SaaStr,
USPO, Red Herring and others

14
GIL
Co-Founder & CEO
software engineer turned
marketing manager for b2b
MORAN EMILY
VP Engineering
extensive experience building
large-scale distributed platforms
Co-Founder & COO
marketing operations and
customer success leader
GEORGE
Advising CTO
former principal engineer at
Grammer.ly, 20+ experience
Leadership

15
TRAVIS MAY
CEO Liveramp
MIKE TELEM
VP Marketing, Marketo
(invested)
BILL PORTELLI
Serial Entrepreneur
MICKEY ALON
Former EVP, Marketo
(invested)
RAVI BELANI
Managing Partner,
Alchemist (invested)
LIZ YIN
(former) Partner, 500
Startups (invested)
GARY NAKAMURA
Entrepreneur, Sales Mentor
(invested)
JONATHAN BUCKLEY
The Artesian Network
Board of Advisors

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metadata.io - an overview

1. B2B Demand Generation Engines on Auto-Pilot DO NOT DISTRIBUTE. FOR INQUIRIES CONTACT GIL@METADATA.IO 1

2. 2 2014 Jan 2015 Jul 2015 Jan 2016 Jul 2016 CMOs in B2B Are Going Through Changes • Pipeline Oriented • Large Budget • Quality vs. Quantity (e.g. ABM) • Data-driven vs. Guesses

3. The Modern Marketer Too Many Siloed Solutions NO AUTOMATION OR INTEGRATION 3 DATA SOURCE BUYER INSIGHTS LEAD GENERATION

4. How It Works Plug Metadata to Existing Systems Output = Predictable Inbound Lead Flow 402,946 Total Impressions 6,482 Total Clicks 3,002 Total New Leads 2,402 Total MQLS 720 Total New Opportunities $647,390 Total Amount 4 Salesforce Hubspot Marketo

5. Built in Automation, Always learning Sales + Marketing Closed Loop 1 2 3 4 5 6 78 ICP Enriched Lookalikes Advertising Channels Facebook (Personal) LinkedIn (ABM) DSPs (Cookies) Twitter (Personal) Pull from CRM Accounts & Contacts & Opportunity Enrichment Contacts & Accounts Profiling / Scoring Decision-tree (artificial intelligence) Classification (machine learning) Campaign Management • Budget • Creative • Bid • Tracking • Enrichment Tag • AI Learning • Audience Refresh • Collateral Flow 5

6. 6 Largest B2B Data Search Engine (demographics, technology, buyer intent)

7. 7 VP Marketing Dashboard Account-Based View for Sales

8. 8 Hundreds of Monthly Experiments on Auto-Pilot

9. 9 Traditional Solutions (manual) bringing traffic to website Marketing ops individual multiple solutions for insight, data vendors and ad campaigns Impressions and Clicks manual a/b testing by marketing ops team + Excel relying on data crawled & scraped from public web only re-targeting Metadata (automated) Engine accelerates existing opportunities and generates a predictable lead flow A.I. operator that executes x100 marketing experiments at a fraction of a cost, no churn Access to clients CRM allows our solution to optimize campaigns on pipeline creation Agile - Multivariate Testing (scale volume to thousands of experiments) Data - Largest B2B search engine based on buyer intent, demographic and technology data Targeted advertising on both social and re- targeting vs. vs. vs. vs. vs. vs. Competitive Advantage Traditional Solutions

10. Featured Customers 10

11. Customer Case Study: Pipeline Quality & Predictability A.I. Operator Driven By Impact on Pipeline and MQLs Constant Increase in Lead Flow Quality Scale Quickly (media processed) 11

12. I looked for a solution to help me target right audience. GONZALO MANNUCI DIRECTOR OF DEMAND GEN Predictable pipeline on autopilot. VERNON VASU CO-FOUNDER A positive ROI within months of the engagement. GAURAV SAINI DIRECTOR OF GROWTH & ACQUISITION 12

13. 13 Metadata has received recognition for its disruptive technology from SXSW, Gartner, Digiday, SaaStr, USPO, Red Herring and others

14. 14 GIL Co-Founder & CEO software engineer turned marketing manager for b2b MORAN EMILY VP Engineering extensive experience building large-scale distributed platforms Co-Founder & COO marketing operations and customer success leader GEORGE Advising CTO former principal engineer at Grammer.ly, 20+ experience Leadership

15. 15 TRAVIS MAY CEO Liveramp MIKE TELEM VP Marketing, Marketo (invested) BILL PORTELLI Serial Entrepreneur MICKEY ALON Former EVP, Marketo (invested) RAVI BELANI Managing Partner, Alchemist (invested) LIZ YIN (former) Partner, 500 Startups (invested) GARY NAKAMURA Entrepreneur, Sales Mentor (invested) JONATHAN BUCKLEY The Artesian Network Board of Advisors

Hinweis der Redaktion

Day in a life of a marketing guy They don’t really have automation and we are changing it for them http://chiefmartec.com/2017/05/marketing-techniology-landscape-supergraphic-2017/
Make sure to speak about true marketing automaton - what traditionally the marketing programs manager would do tactically (placing tags, enriching data etc) – no value add task and wont be able to scale, continues learning
One glance for vp marketing (what’s working/not)
One glance for vp marketing (what’s working/not)
One glance for vp marketing (what’s working/not)
Visualize it Optimize around pipeline needs and get predictability
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metadata.io - an overview

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