Demandbase’s Targeting Solution took major leaps over the past year, and B2B advertisers have been moving fast to adopt the new tech. In this session, we will explore the power of intent signals in Account-Based Advertising, along with strategies and tools for building high-performing campaigns and measuring their impact on your business.
4. SLIDE 4
PRECISE TARGETING IS EVERYTHING IN B2B
Consumer
campaign
B2B
campaign
Qualified accounts and buying committees
Core target demographic / behavioral profile
General population – Less likely to purchase
General population – Can not purchase
5. SLIDE 5
FUN WITH THIRD-PARTY SEGMENTS
MATT’S FIRMOGRAPHICS:
Χ Company Size > 10-50 Employees
Χ Company Size > 50-100 Employees
Χ Company Size > 5,000+ Employees
Χ Sales Volume > $1MM - $5MM
Χ Small Business
6. SLIDE 6
FUN WITH THIRD-PARTY B2B SEGMENTS
Don’t blindly trust
job function
audiences
7. SLIDE 7
HOW IDENTITY-BASED SEGMENTS ARE BUILT
Contact on-boarding
Form data
On-boarding:
70-85%
drop-off
Initial contact list Campaign audience
Form fill coverage Campaign audience
8. SLIDE 8
HOW IDENTITY-BASED SEGMENTS ARE BUILT
Keyword behaviors:
§ Payroll management
§ Payroll software
§ Compensation management
§ Accounting software
§ Joint pain
§ Arthritis treatment
§ John Bolton
§ State Department
§ G8 Summit
Job functions assigned:
§ Accounting
§ Finance
§ Healthcare practitioner
§ Government > Foreign Policy
15. SLIDE 15
WHY INTENT? BECAUSE IDENTITY OBSCURES REAL DEMAND.
Keyword behaviors:
§ Payroll management
§ Payroll software
§ Compensation management
§ Accounting software
Served ads for:
§ Payroll software
§ Billing and invoicing technology
§ Forecasting software
16. INTENT BRINGS THE ANONYMOUS BUYERS’ JOURNEY INTO THE LIGHT
Initial
Research
Social
Network
Social
Media
First
Website
Visit
Competitive
Site Visits
Buying
committee
research
Form fill /
hand-raise
Pipeline
Customer
INTEREST
Evaluation
ANONYMOUS
BUYERS
KNOWN
BUYERS
If increasing numbers of
buyers are starting their
journeys to choose a life
partner anonymously, B2B
marketers have to learn
how to engage with them
on the same terms — for
as long as it takes for B2B
consumers to reveal who
they are and take the next
step with their company.
Steven Casey – “The
Birth of the B2B
Consumer”
October 2017
18. SLIDE 18
SCALE More visibility, higher coverage
RELEVANCE In-market buyers
PRIORITIZATION Understand relative intent levels within accounts
FULL FUNNEL Understand stages of buyers’ journey
THE CASE
FOR INTENT
20. SLIDE 20
SO WHERE DOES INTENT COME FROM?
www.forbes.com/three-things-to-
know-about-cybersecurity
Cookie 1234
at IP Address
2.1.4.5
www.techrepublic.com/your-
enterprise-cybersecurity-plan/
Cookie 4657
at IP Address
8.7.1.2
www.fortune.com/google-nsa-rsa-
conference-highlights
Cookie 9876
at IP Address
7.7.6.4
500 MillionGlobal cookies
8.5 BillionDaily content consumption events
21. SO WHERE DOES INTENT COME FROM?
Cookie works at
Cookie works at
Cookie works at
Cookie works at
Cookie works at
Cookie works at
Demandbase
company identification
Content
extraction
22. SLIDE 22
IDENTIFYING RELEVANT ARTICLES
Which is relevant to digital security?
Article 1 Article 2
Local World Sports Politics Business Health Technology
digital security
security
security
security security
security
security
digital
National Security Advisor to Visit BorderRecent Innovations in Cybersecurity
23. SLIDE 23
AN ARTIFICIAL INTELLIGENCE THAT UNDERSTANDS CONTEXT
Step 1
Our customer identifies
specific keywords:
Digital Security
Data Encryption
Malware Prevention
Step 2
AI identifies 100s-1,000s
of other related keywords
from a vocab of 105,000+
24. SLIDE 24
Step 3
AI looks for all related
keywords in the article to
determine relevance
AN ARTIFICIAL INTELLIGENCE THAT UNDERSTANDS CONTEXT
Local World Sports Politics
digital security
Recent Innovations in Cybersecurity
digital security
endpoint security
threat detection
password safety
access management
Relevance
25. SLIDE 25
FROM RELEVANT ARTICLES TO RELEVANT BUYERS
A single relevant article does not indicate a potential buyer…
§ How many relevant articles did they read?
§ More articles imply stronger interest
§ Over how many different days?
§ A potential buyer would have sustained interest
§ How old were the articles?
§ New articles are likely “news of the day”
§ Older articles imply vendor research
§ How recently did they read the articles?
§ Timing is everything
§ How rare are the relevant keywords in the articles?
§ Rarer/more specific keywords imply cookie is farther into the buyer journey
§ Do they have intent in other topics that disqualifies them?
26. SLIDE 26
FROM RELEVANT ARTICLES TO RELEVANT COOKIES
Probability of Site
Engagement
AI identifies intent patterns that precede on-site engagement
27. SLIDE 27
AND IT WORKS!
0.00%
0.05%
0.10%
0.15%
0.20%
0.25%
0.30%
0.35%
0.40%
Highest Intent
Cookies
Medium Intent
Cookies
Low Intent
Cookies
Average Cookie Negative Intent
Cookies
CookieEngagementRate
34. SLIDE 34
DEMANDBASE RESOURCES FOR KEYWORD LIST BUILDING
CONTEXTUAL RELEVANCY
KEYWORD
DISCOVERY
COMING SOON:
AUTO-DETECT KEYWORDS:
35. KEY TAKE AWAYS
§ Intent finds the “who?” but also the
“who, specifically?” and the “when?”
§ Scale and sophistication pay off
§ Intent can serve a broad range of
campaign use cases