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THE STATE OF
ARTIFICIAL
IN B2B MARKETING
INTELLIGENCE
W E B I N A R
Nate Skinner
Salesforce Pardot
John Follett
Demand Metric
Peter Isaacson
Demandbase
Your Presenters
§ Why Study AI in B2B Marketing?
§ Investment in AI Technology
§ Key Findings from AI Research
§ Q&A
Our Agenda
Why study AI
in B2B Marketing?
Investment in
Artificial Intelligence
The Fourth Industrial Revolution
Electronic Mediums
Digital Marketing
Printed Advertising
Text and Email
Autocomplete
Product
Recommendations
Salesforce Einstein
Voice
AI is Everywhere
Sources: The State of Artificial Intelligence in B2B Marketing;
B2B Marketing Trends: Insights from the Frontlines of B2B Marketing
AI Adoption is Growing
18%
Marketers
using AI
22%
Marketers
Implementing AI
24%
Growth in the
past year
of business buyers
expect companies to
anticipate their needs.
B2B Marketing Trends: Insights from the Frontlines of B2B Marketing
69%
Personalized Experiences are
Grounded in CRM
The State of AI
Key Findings
§ It’s OK to be excited about AI
§ Marketers are already getting value
§ The barriers to AI are offset
Before we begin…
Marketers give themselves a C+ on understanding AI
B2B Marketers’ Understanding of AI
Lead quality, engagement, and buyer intent top the list
Benefits AI is Expected to Deliver
Just two of these barriers were cited by more than half of the sample
Barriers to Taking Advantage of AI
Almost 70% of B2B marketing teams in this study include data scientists
Data Scientists on the Marketing Team
Top-of-funnel applications rank highest for B2B marketers planning to implement AI.
Marketing or Sales AI Application Priorities
80% of study participants will purchase or build and purchase AI solutions
AI Solutions - Build vs. Buy
Less than half of study participants are exploiting existing AI capabilities
Awareness of AI Capabilities in Existing Tech
Usage confirms the value of using AI
Participants Who Perceive The Value of
Applying AI as “Very High”
Priorities for participants evaluating, implementing, or using AI for marketing
Marketing AI Applications being Evaluated,
Used, or Implemented
Most study participants expect to see value from AI in a year or less.
How Long Will It Take For AI To Deliver Value?
Over half of the sample report moderate to revolutionary performance impact
Impact of AI on Marketing and Sales
70% of the sample forecast a double-digit revenue lift from using AI in two years.
Expected 2-Year Lift In Revenue with AI
Almost all current AI users express great optimism for its impact
Using AI to Improve Sales & Marketing Effectiveness
Action Plan
Learn
Take full advantage of industry
analysis, vendors, case studies,
webinars, and the ample set of
content that already exists.
Set an objective
Improving the reach of digital
advertising and identifying the right
accounts or individuals to target are
top AI priorities. Both are perennial
B2B marketing priorities, so pick one
of these or another objective for an
starting AI initiative.
Lean on your vendors
Vendors are ahead of users when it
comes to understanding the
competitive advantage that AI can
provide to the B2B marketing
community. You will find vendors
eager to help you learn about their
capabilities and exploit them.
Run an experiment
Start with a small experiment that
will teach you how AI works and
what to expect from it. Use what
you learn from the initial
experiments and pilots you run
to get better results.
Build momentum
Measure the results of your
initial experiments, fine-tune
them, and expand the scope of
your AI initiatives.
THANK YOU
FOR JOINING US
GREAT DAY
HAVE A

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The State of Artificial Intelligence in B2B Marketing

  • 1. THE STATE OF ARTIFICIAL IN B2B MARKETING INTELLIGENCE W E B I N A R
  • 2. Nate Skinner Salesforce Pardot John Follett Demand Metric Peter Isaacson Demandbase Your Presenters
  • 3. § Why Study AI in B2B Marketing? § Investment in AI Technology § Key Findings from AI Research § Q&A Our Agenda
  • 4.
  • 5. Why study AI in B2B Marketing?
  • 7. The Fourth Industrial Revolution Electronic Mediums Digital Marketing Printed Advertising
  • 9. Sources: The State of Artificial Intelligence in B2B Marketing; B2B Marketing Trends: Insights from the Frontlines of B2B Marketing AI Adoption is Growing 18% Marketers using AI 22% Marketers Implementing AI 24% Growth in the past year
  • 10. of business buyers expect companies to anticipate their needs. B2B Marketing Trends: Insights from the Frontlines of B2B Marketing 69%
  • 12. The State of AI Key Findings
  • 13. § It’s OK to be excited about AI § Marketers are already getting value § The barriers to AI are offset Before we begin…
  • 14. Marketers give themselves a C+ on understanding AI B2B Marketers’ Understanding of AI
  • 15. Lead quality, engagement, and buyer intent top the list Benefits AI is Expected to Deliver
  • 16. Just two of these barriers were cited by more than half of the sample Barriers to Taking Advantage of AI
  • 17. Almost 70% of B2B marketing teams in this study include data scientists Data Scientists on the Marketing Team
  • 18. Top-of-funnel applications rank highest for B2B marketers planning to implement AI. Marketing or Sales AI Application Priorities
  • 19. 80% of study participants will purchase or build and purchase AI solutions AI Solutions - Build vs. Buy
  • 20. Less than half of study participants are exploiting existing AI capabilities Awareness of AI Capabilities in Existing Tech
  • 21. Usage confirms the value of using AI Participants Who Perceive The Value of Applying AI as “Very High”
  • 22. Priorities for participants evaluating, implementing, or using AI for marketing Marketing AI Applications being Evaluated, Used, or Implemented
  • 23. Most study participants expect to see value from AI in a year or less. How Long Will It Take For AI To Deliver Value?
  • 24. Over half of the sample report moderate to revolutionary performance impact Impact of AI on Marketing and Sales
  • 25. 70% of the sample forecast a double-digit revenue lift from using AI in two years. Expected 2-Year Lift In Revenue with AI
  • 26. Almost all current AI users express great optimism for its impact Using AI to Improve Sales & Marketing Effectiveness
  • 28. Learn Take full advantage of industry analysis, vendors, case studies, webinars, and the ample set of content that already exists.
  • 29. Set an objective Improving the reach of digital advertising and identifying the right accounts or individuals to target are top AI priorities. Both are perennial B2B marketing priorities, so pick one of these or another objective for an starting AI initiative.
  • 30. Lean on your vendors Vendors are ahead of users when it comes to understanding the competitive advantage that AI can provide to the B2B marketing community. You will find vendors eager to help you learn about their capabilities and exploit them.
  • 31. Run an experiment Start with a small experiment that will teach you how AI works and what to expect from it. Use what you learn from the initial experiments and pilots you run to get better results.
  • 32. Build momentum Measure the results of your initial experiments, fine-tune them, and expand the scope of your AI initiatives.
  • 33.