This document discusses using AI and machine learning to help digital marketers. It begins by introducing the speaker and their experience in content marketing. The rest of the document is divided into sections on trends in AI adoption for marketing, use cases and examples, and how marketers can apply AI. Specifically, it suggests marketers can use AI for insights about customers, creative direction and ideation, mass personalization and execution, and improving acquisition efficiency and targeting. Examples provided include using algorithms to create personalized emails and recommendations based on user behavior and detecting anomalies in traffic and sales. In the end, an AI marketing assistant is proposed to deliver insights by connecting with a company's data and acquisition systems.

1. Using AI to
revolutionize your
digital marketing, for
good

2. Emília Chagas
● Content manager for +8 years.
● Projects in Enterprises and SMBs, online and
offline.
● Co-founder & CEO at Contentools.com, all-in-one
content marketing platform that helps +1,000
marketing teams plan, create, distribute and
measure online content.

3. ● AI/ML: Marketer's POV
● Trends for AI adoption in MKT
● Use cases and examplesAgenda

4. We're used to ML/AI
Virtual Assistants
Like Google Home, same
principle as chatbots.
Image recognition Autonomous cars
Google Photos, Amazon,
Facebook, Pinterest. 99%
accuracy.
Hybrid navigation; control
systems with accurate
detection still a challenge.

5. ML/AI for
Marketers

6. Marketers are
using ML/AI

9. State of Marketing report, 2017

10. "AI is an enabler"
"Automation opens up room for more creativity"
"AI means augmenting creativity"
"Automation means creatives are free for more strategic thinking"
So we hear things like...

11. ML/AI is "HOW".
Not "WHAT".

12. Same principle of
any technology

13. Tech is a means
to deliver the
value prop

14. ● What can I improve today?
● Which repetitive tasks should I
STOP doing?
● How can our team become more
intelligent/productive?
Ask yourself...

15. 1. Insight: AI can enable marketers to
know their consumers and target
them specifically.
2. Ideation: new ways to coordinate
creative direction and guide
ideation process (voice p.e.)
3. Execution: version control, mass
personalization.
4. Acquisition: transparency on
buying process, improving
efficiency and targeting.
4 main answers

16. Example #1: Personalized Emails
Algorithms map the subscriber's experience and their email usage to understand how they interact
with content (open rate and click throughs).

17. Example #2: Personalized Recommendations
Algorithm eliminates the need for manual segmentation with automated cross-channel engagement
for every user.

18. Example #3: Anomaly Detection
● Atypical spikes or drops
● Which specific URLs
● From what traffic source?
● Specific audience/demographics?
● Brought by which channel?
● How to avoid similar drops or
replicate the spike to create a
trend?

20. A.I MARKETING ASSISTANT
I connect with your acquisition stack,
analyze your data and deliver actionable
insights.

21. MAX.CONTENTOOLS.COM

22. Thank you!
emilia@contentools.com