metadata.io - an overview
TRANSCRIPT
B2B Demand Generation Engines on Auto-Pilot
DO NOT DISTRIBUTE. FOR INQUIRIES CONTACT [email protected] 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
AUTOMATIONOR
INTEGRATION
3
DATA
SOURCE
BUYER
INSIGHTS
LEAD
GENERATION
How It Works
Plug Metadata to
Existing Systems
Output =
Predictable Inbound Lead Flow
402,946Total Impressions
6,482Total Clicks
3,002Total New Leads
2,402Total MQLS
720Total New Opportunities
$647,390Total Amount
4
Salesforce
Hubspot
Marketo
Built in Automation,
Always learning
Sales + Marketing
Closed Loop
1 2 3 4
5
678
ICP
Enriched Lookalikes
Advertising
Channels
(Personal)
(ABM)
DSPs
(Cookies)
(Personal)
Pull from CRMAccounts & Contacts
& Opportunity
EnrichmentContacts &
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
Featured Customers
10
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 EMILYVP Engineering
extensive experience building
large-scale distributed platforms
Co-Founder & COO
marketing operations and
customer success leader
GEORGEAdvising CTO
former principal engineer at
Grammer.ly, 20+ experience
Leadership
15
TRAVIS MAYCEO Liveramp
MIKE TELEMVP Marketing, Marketo
(invested)
BILL PORTELLISerial Entrepreneur
MICKEY ALONFormer EVP, Marketo
(invested)
RAVI BELANIManaging Partner,
Alchemist (invested)
LIZ YIN(former) Partner, 500
Startups (invested)
GARY NAKAMURAEntrepreneur, Sales Mentor
(invested)
JONATHAN BUCKLEYThe Artesian Network
Board of Advisors