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May MarTech Madness
London MUG| May 2023
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
Welcome to the London Marketo User Group (MUG)
Not signed up for Bevy? – Join our chapter and never miss out!
 Step 1: Navigate to https://mugs.marketo.com/london-mug/
 Step 2: Create an account using the email associated with your Adobe Marketo Engage Account
Once you’ve joined our chapter you’ll receive notifications and reminders about new events that the chapter has posted!
Adele Miller
Snr MarTech Manager
Bazaarvoice
Courtny Edwards-
Jones
MOPS Manager
Zuora
Emily Poulton
Senior MOPs
Consultant
EMMIE Collective
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
Adobe Marketo Engage User Group House Rules
In order to ensure our MUGs stay user-focused and a
safe space for members of the Marketing Nation to learn,
network, and problem solve, we ask that all MUG
attendees follow these rules:
• No self-promotion or pitching of any kind is permitted
at MUG events
• Don’t contact people outside of the User Group
without their consent
• If MUG members share their use case at the User
Group, please don’t share that information without
their consent
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
This MUG Meeting is being Recorded.
 To ensure that we are abiding by the MUG Code
of Conduct, we are informing all user group
attendees at London MUG meeting starting 18th
May at 10am BST that this meeting will be
recorded and posted on the MUG YouTube
Channel to promote training, education, and future
learning.
 If you do not wish to participate in a LIVE
recorded session, please feel free to watch the
recording at a later time, which will be linked after
the meeting concludes, and send us any
questions you may have to
adele.miller@bazaarvoice.com
Todays Agenda
• 10:05 - 10:25am – Mad for MarTech? John Grundy, Accenture
• 10:25 - 10:35am - Q&A with John
• 10:35 - 10:45am - Adobe Champion Chat
• 10:45 - 11:05am - Unleashing the power of OpenAI in Marketo. Josh
Arrington, Kapturall
• 11:05 - 11:15am - Q&A with Josh
• 11:15 - 11:20am - Quick game of “Where are our speakers from?”
But First….
Poll time!
https://take.quiz-maker.com/poll4816574x35F54E2F-149
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Four was
So you can focus on
Repetitive
tasks
Preventing
mistakes
Monitoring
issues
Handling
requests
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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John
• Marketo Engage user since 2015
• Marketo Champion, 2021
• Adobe Certified Master, Adobe Marketo Engage
Architect
• Developer in Adobe Journey Optimizer & Adobe
Workfront
Manager, Marketing Platforms Solutions & Services
Adobe Marketing Automation Expertise Lead, Europe
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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We haven’t gotten any new leads
in a while…
I submitted a form, but can’t find
the record in CRM…
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Monitoring
 Solution: Schedule People Performance reports to monitor system and
data health
 Great to
• Find issues before sales or business
• Get on top of issues before they get
out of control
And stops
• Time needed for retroactively fixing
large volumes
• Panic and loss of trust
in MOPs from
business/marketing teams
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Monitoring
 How to setup
1. Create a smart list for exceptions to
expected data (in past x days)
 Field values not in format accepted by CRM
 Empty fields on lead capture
 Webhook fails
 Exceeded communications limits
2. Add to people performance report,
group by relevant field
3. Schedule for quick-glance in your inbox
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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I want to run an event, we need a
new field created to capture…
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Handling
 Solution: Leverage Program Member Custom fields instead of single-
use/disposable fields
 Great to
• Let users self-service
• Provide a level of flexibility
• Set up and document once, use
forever
And stops
• A mess of random fields in your
database
• Time spent discussing why
this field shouldn’t be
created in Marketo
Requests
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Handling
 How
1. Create Program Member Custom
Fields (PMCF) that can be repurposed
 Name them based on field type like:
 Local Field 1 String
 Local Field 2 String
 Local Field 3 Date
 Local Field 4 Boolean
2. On use, add a note in program
description what the ‘Local field’ is
referring to
Note
Maximum 20 Program Member
Custom Fields possible.
Suggestion
Utilise terminology that your users may be familiar with. I refer to
call PMCF fields as ‘Local’, like a my.token that is local to this program.
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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I submitted a form, but can’t find
the record in CRM…
We haven’t gotten any new leads
in a while…
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Preventing
 Solution: Audit and apply proper roles and permissions
 Great to
• Ensure safety of data
• Enforce QA and processes
And stops
• Accidental mistakes
• Needing to spent time on corrections
• Damaging customer experience
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Preventing
 How
1. Define who user types/personas are
2. Identify ‘job to be done’ by that user
3. What type of actions are expected
for the user?
 Can all, or only some advanced users edit or approve?
 Should everyone be able to do list import?
4. Follow principles of data access minimization
 Not everyone should be able to see contacts, or download lists,
for example.
Remember
This doesn’t only apply to users!
Make sure you follow the same principles for API Only users too.
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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I need to deactivate out-dated trigger
campaigns from last month’s
webinars…
Can you please tidy up these
duplicates...
© 2021 Adobe. All Rights Reserved. Adobe
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Repetitive
 Solution: Utilise Postman and the Marketo APIs
 Great to
• Scale repetitive task
• Keep your instance organized
And stops
• Wasting time on time-consuming work
Some use cases
• Create new users
• Merge duplicates
• Deactivate triggers from event
programs that are complete
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Repetitive
 How (to deactivate triggers)
1. Export active trigger campaigns via
Campaign Inspector
If not showing, Enable via Admin > Treasure Chest
In spreadsheet, filter programs and save required Campaign_ID in
separate file
2. Setup Postman (one time action)
 Create API User in Marketo and add to Postman
 Add GET call for Authentication
 Add Post call for Smart Campaign Deactivation –
add variable in POST for the Campaign_ID
3. Run as Postman Runner to cycle
though each Campaign_ID in file Note
Be careful with APIs and the
lists used for the Runner.
Q&A
John Grundy
Adobe Marketing Automation Expertise Lead,
Europe
Accenture
Champion Chat
2023 Marketo Champion Applications are now open!
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
Unleashing the
power of ChatGPT
directly in your
Marketo smart
campaigns
 Josh Arrington | Partner,
CMTO
Josh Arrington
Partner & Chief Marketing Technology Officer
Kapturall
• Inaugural class for the Marketo Solutions
Architect training
• Marketo Engage user since 2013
• Adobe Certified Master, Adobe Marketo
Engage Architect
• Full stack developer
© 2021 Adobe. All Rights Reserved. Adobe
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What is OpenAI ChatGPT?
 OpenAI in Marketo: Prerequisites
ChatGPT is an advanced AI model developed by OpenAI that can engage in
human-like conversations, generate text, answer questions, and provide
recommendations based on context. It has numerous applications, including
customer service, language translation, and content generation, and is one of the
most advanced AI models currently available.
OpenAI: A research organization dedicated to developing and promoting safe
and beneficial artificial intelligence.
ChatGPT: Is the web chat interface from OpenAI that uses advanced machine
learning techniques to generate human-like responses to text-based prompts
or questions.
GPT Model: A deep learning architecture used for natural language processing,
known for its ability to generate high-quality text that closely resembles human
language through training on large datasets of text-based content
© 2021 Adobe. All Rights Reserved. Adobe
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What are Self-Service Flow Steps (SSFS)?
 OpenAI in Marketo: Prerequisites
Self-Service Flow Steps is a feature that came out last year that allow us to extend
Marketo by creating our own flow actions. These actions allow us to send and receive
data from Marketo to an external service.
Demo: Intelligent
Segmentation with OpenAI
© 2021 Adobe. All Rights Reserved. Adobe
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Initial Segmentation
 Demo: Intelligent Segmentation
Create a segmentation with simple rules. Job Function = the segment name
© 2021 Adobe. All Rights Reserved. Adobe
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Initial List
 Demo: Intelligent Segmentation
 We will retain the job title but capture the job function in the role field
© 2021 Adobe. All Rights Reserved. Adobe
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Smart Campaign: Smart List
 Demo: Intelligent Segmentation
© 2021 Adobe. All Rights Reserved. Adobe
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Smart Campaign: Flow
 Demo: Intelligent Segmentation
1
2 3
The prompt to send to OpenAI The OpenAI model to use The field to store the response
1 2 3
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
Job Segmentation Prompt
 Demo: Intelligent Segmentation
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Return only the category without any quotes or any additional
text categorize the job title {{lead.Job Title}} into one of the
following categories: Accounting/Finance, Administration,
Analyst/Research, Design/Engineering, Education/Teaching,
Healthcare/Medical, Human Resources, Information
Technology, Legal, Marketing/Sales, Science/Laboratory, Social
Services
© 2021 Adobe. All Rights Reserved. Adobe
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Smart Campaign: Flow
 Demo: Intelligent Segmentation
© 2021 Adobe. All Rights Reserved. Adobe
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Job Role Results
 Demo: Intelligent Segmentation
© 2021 Adobe. All Rights Reserved. Adobe
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Segmentation Results
 Demo: Intelligent Segmentation
Demo: Hyper-Personalization with
OpenAI
© 2021 Adobe. All Rights Reserved. Adobe
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Using AI to make communications sound less robotic
 Demo: Hyper-Personalization
Hyper personalize a hotel booking confirmation by combining tokenized person data and OpenAI.
Dear {{lead.First Name}},
Thank you for booking our {{lead.Room Name}} from {{lead.checkin date}} to {{lead.checkout date}} for your
{{lead.travel reason}}.
We have many amenities to chose from like:
1. Business center with computers, printers, and other equipment
2. Meeting and conference rooms
3. High-speed Wi-Fi
4. 24-hour room service and concierge assistance
5. Fitness center for staying active during busy trips
6. In-room couples massages
7. Champagne and chocolate-covered strawberries upon arrival
8. Private balconies or terraces with romantic views
9. Romantic dinner packages at on-site restaurants
10. Jacuzzi tubs for two in the room
11. Kid-friendly amenities, such as a children's pool or play area
12. Complimentary breakfast for the whole family
13. Family suites with multiple rooms and beds
14. Game rooms or arcades for family fun
15. Cribs or rollaway beds for young children
16. On-site spa with a range of treatments
17. Yoga or meditation classes
18. Quiet rooms or adult-only areas
© 2021 Adobe. All Rights Reserved. Adobe
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The Form
 Demo: Hyper-Personalization
• Check In Date
• Check Out Date
• # of guests
• Room Type
• Reason for travel
• Family Vacation
• Romantic Getaway
• Business
• Celebration
• Relaxation
• Additional Requests
© 2021 Adobe. All Rights Reserved. Adobe
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Smart Campaign - Smart List
 Demo: Hyper-Personalization
© 2021 Adobe. All Rights Reserved. Adobe
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Smart Campaign - Flow
 Demo: Hyper-Personalization
© 2021 Adobe. All Rights Reserved. Adobe
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Prompt Instructions
 Demo: Hyper-Personalization
•Guest name: {{lead.Full Name}}
•Check in: {{lead.checkin}} & Check out: {{lead.checkout}}
•Reason for travel: {{lead.reason}}
•Number of people: {{lead.number guests}}
•Room type: {{lead.room_type}}
•Additional requests: {{lead.additional requests}}
Based on the above data write a personalized booking confirmation email body using HTML tags
(p,li,h2,h3,h4 etc.), left aligned to be placed in an HTML email <body> With the most relevant
Amenities given, for the above booking details. Please follow the following format:
1st paragraph: a warm welcoming intro and summary about the booking personalized based on
their group size, duration of stay and reason for travel.
2nd paragraph: a description of the amenities available, only include a few that are relevant to their
reason for travel, duration of stay and group size
3rd Paragraph: A paragraph about the time period of the booking, what Ibiza is like in this time
period and what activities are typically going on at that time. Personalized based on their reason for
travel
4th Paragraph: Acknowledge any additional requests, highlight doubt only if they seem extreme,
and say that their concierge will follow up with them on the details.
A final personalized paragraph saying we are looking forward to hosing them signed by their
© 2021 Adobe. All Rights Reserved. Adobe
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Additional Context
 Demo: Hyper-Personalization
Concierge:
•Name: Beatrice Potts
•Phone: +34 625 602 443
•Email: bpotts@lotusibiza.com
Hotel Amenities:
1.Business center with computers, printers, and
other equipment
2.Meeting and conference rooms
3.High-speed Wi-Fi
4.24-hour room service and concierge assistance
5.Fitness center for staying active during busy trips
6.In-room couples massages
7.Champagne and chocolate-covered strawberries
upon arrival
8.Private balconies or terraces with romantic views
9.Romantic dinner packages at on-site restaurants
10.Jacuzzi tubs for two in the room
11.Kid-friendly amenities, such as a children's pool
or play area
12.Complimentary breakfast for the whole family
13.Family suites with multiple rooms and beds
14.Game rooms or arcades for family fun
15.Cribs or rollaway beds for young children
16.On-site spa with a range of treatments
17.Yoga or meditation classes
18.Quiet rooms or adult-only areas
19.Outdoor pools and hot tubs for relaxation
20.Complimentary tea or coffee in the lobby
Etc.
Hotel Details:
•Website: www.lotusibiza.com
•Concierge Name: Beatrice Potts
•Concierge Email: guestservices@lotusibiza.com
•Address: Carrer Camí de sa Torre, 71, 07810 San
Juan Bautista, Ibiza, Spain
© 2021 Adobe. All Rights Reserved. Adobe
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Results
 Demo: Hyper-Personalization
Context Aware Amenity Recommendations
Celebration
Business Trip
© 2021 Adobe. All Rights Reserved. Adobe
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Results
 Demo: Hyper-Personalization
Family Vacation Romantic Getaway
© 2021 Adobe. All Rights Reserved. Adobe
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Best Practices & Limitations
 OpenAI GPT & Marketo
• Beware of hallucinations.
• Each model is different and is limited by the data it is trained on
• Tell the model what format you want the information in
• Test, test, test
• You can fine-tune OpenAI’s models to train your own personalized model that you can
then call.
• Do not share sensitive data / Personal Identifiable Information (PII). OpenAI can use
this data for training future models.
© 2021 Adobe. All Rights Reserved. Adobe
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More Use Cases
 OpenAI GPT & Marketo
• Interesting Moment History Summarization
• Intelligent Message Routing / Categorizing
• Lead routing to the appropriate sales rep based on contextual information
• Data Cleansing / Formatting
• Translation
• False data detection
• Intelligent scoring
Q&A
Josh Arrington
Partner & Chief Marketing Technology Officer
Kapturall
WHERE ARE THE SPEAKERS
FROM?
For this month's VMUG we are going international!
We have a true mix of cultures and insights into how Marketo/Martech
is being leveraged globally ... and not to mention - a ton of air miles
racked up between our speakers.
See if you can guess where they are from/live from the clues.
WHERE ARE THE SPEAKERS
FROM?
John Grundy - John originally comes from a small town 'down under' whose
population peaked at 630 people in 1911. We don't expect you to guess the town -
but the State is tasked with the paramount job of managing & protecting the Great
Barrier Reef. He now lives in the "Venice of the North" - while visiting we
recommend biking to get some stroopwafels or bitterballen.
Joshua Arrington - Originally from a maritime city that is home of one of the most
famous marathons, many Hollywood stars including an Avenger and a historic tea
party, Josh now lives in “la capital del Turia" - a cultural city known for gorgeous
food (it’s the birthplace of paella), nightlife, architecture and is in the same country
as a band of robbers who executed the 'greatest heist in history'.
Courtny Edwards-Jones - She traded in her cowgirl boots over a decade ago but
still loves visiting her family in a city known for food, festivals and celebrating all
things "weird" ... she then moved almost 5,000 miles across the pond to settle in the
birthplace of industrialisation, the first computer and the Suffragettes.
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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John Grundy ( ), is originally from a small town in Queensland (Jondaryan -
extra points if you've heard of it) and now lives in ultra-cool Amsterdam ( )
© 2021 Adobe. All Rights Reserved. Adobe
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Joshua Arrington ( ), is originally from Boston but
currently lives in Valencia ( ) .. we swoon over Spain,
also any Money Heist fans in the house?
© 2021 Adobe. All Rights Reserved. Adobe
Confidential.
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Courtny Edwards-Jones ( ), calls Austin, Texas 'home' (y'all!) and now lives in the
second largest tech & startup hub in the UK, Manchester - also great for foodies and
music lovers ( )
May MarTech Madness - London MUG May 18th

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May MarTech Madness - London MUG May 18th

  • 2. © 2021 Adobe. All Rights Reserved. Adobe Confidential. Welcome to the London Marketo User Group (MUG) Not signed up for Bevy? – Join our chapter and never miss out!  Step 1: Navigate to https://mugs.marketo.com/london-mug/  Step 2: Create an account using the email associated with your Adobe Marketo Engage Account Once you’ve joined our chapter you’ll receive notifications and reminders about new events that the chapter has posted! Adele Miller Snr MarTech Manager Bazaarvoice Courtny Edwards- Jones MOPS Manager Zuora Emily Poulton Senior MOPs Consultant EMMIE Collective
  • 3. © 2021 Adobe. All Rights Reserved. Adobe Confidential. Adobe Marketo Engage User Group House Rules In order to ensure our MUGs stay user-focused and a safe space for members of the Marketing Nation to learn, network, and problem solve, we ask that all MUG attendees follow these rules: • No self-promotion or pitching of any kind is permitted at MUG events • Don’t contact people outside of the User Group without their consent • If MUG members share their use case at the User Group, please don’t share that information without their consent
  • 4. © 2021 Adobe. All Rights Reserved. Adobe Confidential. This MUG Meeting is being Recorded.  To ensure that we are abiding by the MUG Code of Conduct, we are informing all user group attendees at London MUG meeting starting 18th May at 10am BST that this meeting will be recorded and posted on the MUG YouTube Channel to promote training, education, and future learning.  If you do not wish to participate in a LIVE recorded session, please feel free to watch the recording at a later time, which will be linked after the meeting concludes, and send us any questions you may have to adele.miller@bazaarvoice.com
  • 5. Todays Agenda • 10:05 - 10:25am – Mad for MarTech? John Grundy, Accenture • 10:25 - 10:35am - Q&A with John • 10:35 - 10:45am - Adobe Champion Chat • 10:45 - 11:05am - Unleashing the power of OpenAI in Marketo. Josh Arrington, Kapturall • 11:05 - 11:15am - Q&A with Josh • 11:15 - 11:20am - Quick game of “Where are our speakers from?”
  • 7. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 7 Four was So you can focus on Repetitive tasks Preventing mistakes Monitoring issues Handling requests
  • 8. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 8 John • Marketo Engage user since 2015 • Marketo Champion, 2021 • Adobe Certified Master, Adobe Marketo Engage Architect • Developer in Adobe Journey Optimizer & Adobe Workfront Manager, Marketing Platforms Solutions & Services Adobe Marketing Automation Expertise Lead, Europe
  • 9. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 9 We haven’t gotten any new leads in a while… I submitted a form, but can’t find the record in CRM…
  • 10. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 0 Monitoring  Solution: Schedule People Performance reports to monitor system and data health  Great to • Find issues before sales or business • Get on top of issues before they get out of control And stops • Time needed for retroactively fixing large volumes • Panic and loss of trust in MOPs from business/marketing teams
  • 11. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 1 Monitoring  How to setup 1. Create a smart list for exceptions to expected data (in past x days)  Field values not in format accepted by CRM  Empty fields on lead capture  Webhook fails  Exceeded communications limits 2. Add to people performance report, group by relevant field 3. Schedule for quick-glance in your inbox
  • 12. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 2 I want to run an event, we need a new field created to capture…
  • 13. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 3 Handling  Solution: Leverage Program Member Custom fields instead of single- use/disposable fields  Great to • Let users self-service • Provide a level of flexibility • Set up and document once, use forever And stops • A mess of random fields in your database • Time spent discussing why this field shouldn’t be created in Marketo Requests
  • 14. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 4 Handling  How 1. Create Program Member Custom Fields (PMCF) that can be repurposed  Name them based on field type like:  Local Field 1 String  Local Field 2 String  Local Field 3 Date  Local Field 4 Boolean 2. On use, add a note in program description what the ‘Local field’ is referring to Note Maximum 20 Program Member Custom Fields possible. Suggestion Utilise terminology that your users may be familiar with. I refer to call PMCF fields as ‘Local’, like a my.token that is local to this program.
  • 15. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 5 I submitted a form, but can’t find the record in CRM… We haven’t gotten any new leads in a while…
  • 16. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 6 Preventing  Solution: Audit and apply proper roles and permissions  Great to • Ensure safety of data • Enforce QA and processes And stops • Accidental mistakes • Needing to spent time on corrections • Damaging customer experience
  • 17. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 7 Preventing  How 1. Define who user types/personas are 2. Identify ‘job to be done’ by that user 3. What type of actions are expected for the user?  Can all, or only some advanced users edit or approve?  Should everyone be able to do list import? 4. Follow principles of data access minimization  Not everyone should be able to see contacts, or download lists, for example. Remember This doesn’t only apply to users! Make sure you follow the same principles for API Only users too.
  • 18. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 8 I need to deactivate out-dated trigger campaigns from last month’s webinars… Can you please tidy up these duplicates...
  • 19. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 1 9 Repetitive  Solution: Utilise Postman and the Marketo APIs  Great to • Scale repetitive task • Keep your instance organized And stops • Wasting time on time-consuming work Some use cases • Create new users • Merge duplicates • Deactivate triggers from event programs that are complete
  • 20. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 2 0 Repetitive  How (to deactivate triggers) 1. Export active trigger campaigns via Campaign Inspector If not showing, Enable via Admin > Treasure Chest In spreadsheet, filter programs and save required Campaign_ID in separate file 2. Setup Postman (one time action)  Create API User in Marketo and add to Postman  Add GET call for Authentication  Add Post call for Smart Campaign Deactivation – add variable in POST for the Campaign_ID 3. Run as Postman Runner to cycle though each Campaign_ID in file Note Be careful with APIs and the lists used for the Runner.
  • 21. Q&A John Grundy Adobe Marketing Automation Expertise Lead, Europe Accenture
  • 22. Champion Chat 2023 Marketo Champion Applications are now open!
  • 23. © 2021 Adobe. All Rights Reserved. Adobe Confidential. Unleashing the power of ChatGPT directly in your Marketo smart campaigns  Josh Arrington | Partner, CMTO
  • 24. Josh Arrington Partner & Chief Marketing Technology Officer Kapturall • Inaugural class for the Marketo Solutions Architect training • Marketo Engage user since 2013 • Adobe Certified Master, Adobe Marketo Engage Architect • Full stack developer
  • 25. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 25 O P E N A I I N M A R K E T O : P R E R E Q U I S I T E S | W H A T I S O P E N A I C H A T G P T What is OpenAI ChatGPT?  OpenAI in Marketo: Prerequisites ChatGPT is an advanced AI model developed by OpenAI that can engage in human-like conversations, generate text, answer questions, and provide recommendations based on context. It has numerous applications, including customer service, language translation, and content generation, and is one of the most advanced AI models currently available. OpenAI: A research organization dedicated to developing and promoting safe and beneficial artificial intelligence. ChatGPT: Is the web chat interface from OpenAI that uses advanced machine learning techniques to generate human-like responses to text-based prompts or questions. GPT Model: A deep learning architecture used for natural language processing, known for its ability to generate high-quality text that closely resembles human language through training on large datasets of text-based content
  • 26. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 26 O P E N A I I N M A R K E T O : P R E R E Q U I S I T E S | W H A T A R E S S F S What are Self-Service Flow Steps (SSFS)?  OpenAI in Marketo: Prerequisites Self-Service Flow Steps is a feature that came out last year that allow us to extend Marketo by creating our own flow actions. These actions allow us to send and receive data from Marketo to an external service.
  • 28. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 28 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | I N I T I A L S E G M E N T A T I O N Initial Segmentation  Demo: Intelligent Segmentation Create a segmentation with simple rules. Job Function = the segment name
  • 29. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 29 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | I N I T I A L L I S T Initial List  Demo: Intelligent Segmentation  We will retain the job title but capture the job function in the role field
  • 30. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 30 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | S M A R T C A M P A I G N : S M A R T L I S T Smart Campaign: Smart List  Demo: Intelligent Segmentation
  • 31. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 31 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | S M A R T C A M P A I G N : F L O W Smart Campaign: Flow  Demo: Intelligent Segmentation 1 2 3 The prompt to send to OpenAI The OpenAI model to use The field to store the response 1 2 3
  • 32. © 2021 Adobe. All Rights Reserved. Adobe Confidential. Job Segmentation Prompt  Demo: Intelligent Segmentation 32 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | J O B S E G M E N T A T I O N P R O M P T Return only the category without any quotes or any additional text categorize the job title {{lead.Job Title}} into one of the following categories: Accounting/Finance, Administration, Analyst/Research, Design/Engineering, Education/Teaching, Healthcare/Medical, Human Resources, Information Technology, Legal, Marketing/Sales, Science/Laboratory, Social Services
  • 33. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 33 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | S M A R T C A M P A I G N : F L O W Smart Campaign: Flow  Demo: Intelligent Segmentation
  • 34. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 34 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | J O B R O L E R E S U L T S Job Role Results  Demo: Intelligent Segmentation
  • 35. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 35 D E M O : I N T E L L I G E N T S E G M E N T A T I O N | S E G M E N T A T O N R E S U L T S Segmentation Results  Demo: Intelligent Segmentation
  • 37. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 37 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | U S I N G A I T O M A K E C O M M U N I C A T I O N S S O U N D L E S S R O B O T I C Using AI to make communications sound less robotic  Demo: Hyper-Personalization Hyper personalize a hotel booking confirmation by combining tokenized person data and OpenAI. Dear {{lead.First Name}}, Thank you for booking our {{lead.Room Name}} from {{lead.checkin date}} to {{lead.checkout date}} for your {{lead.travel reason}}. We have many amenities to chose from like: 1. Business center with computers, printers, and other equipment 2. Meeting and conference rooms 3. High-speed Wi-Fi 4. 24-hour room service and concierge assistance 5. Fitness center for staying active during busy trips 6. In-room couples massages 7. Champagne and chocolate-covered strawberries upon arrival 8. Private balconies or terraces with romantic views 9. Romantic dinner packages at on-site restaurants 10. Jacuzzi tubs for two in the room 11. Kid-friendly amenities, such as a children's pool or play area 12. Complimentary breakfast for the whole family 13. Family suites with multiple rooms and beds 14. Game rooms or arcades for family fun 15. Cribs or rollaway beds for young children 16. On-site spa with a range of treatments 17. Yoga or meditation classes 18. Quiet rooms or adult-only areas
  • 38. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 38 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | T H E F O R M The Form  Demo: Hyper-Personalization • Check In Date • Check Out Date • # of guests • Room Type • Reason for travel • Family Vacation • Romantic Getaway • Business • Celebration • Relaxation • Additional Requests
  • 39. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 39 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | S M A R T C A M P A I G H – S M A R T L I S T Smart Campaign - Smart List  Demo: Hyper-Personalization
  • 40. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 40 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | S M A R T C A M P A I G N - F L O W Smart Campaign - Flow  Demo: Hyper-Personalization
  • 41. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 41 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | P R O M P T I N S T R U C T I O N S Prompt Instructions  Demo: Hyper-Personalization •Guest name: {{lead.Full Name}} •Check in: {{lead.checkin}} & Check out: {{lead.checkout}} •Reason for travel: {{lead.reason}} •Number of people: {{lead.number guests}} •Room type: {{lead.room_type}} •Additional requests: {{lead.additional requests}} Based on the above data write a personalized booking confirmation email body using HTML tags (p,li,h2,h3,h4 etc.), left aligned to be placed in an HTML email <body> With the most relevant Amenities given, for the above booking details. Please follow the following format: 1st paragraph: a warm welcoming intro and summary about the booking personalized based on their group size, duration of stay and reason for travel. 2nd paragraph: a description of the amenities available, only include a few that are relevant to their reason for travel, duration of stay and group size 3rd Paragraph: A paragraph about the time period of the booking, what Ibiza is like in this time period and what activities are typically going on at that time. Personalized based on their reason for travel 4th Paragraph: Acknowledge any additional requests, highlight doubt only if they seem extreme, and say that their concierge will follow up with them on the details. A final personalized paragraph saying we are looking forward to hosing them signed by their
  • 42. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 42 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | A D D I T I O N A L C O N T E X T Additional Context  Demo: Hyper-Personalization Concierge: •Name: Beatrice Potts •Phone: +34 625 602 443 •Email: bpotts@lotusibiza.com Hotel Amenities: 1.Business center with computers, printers, and other equipment 2.Meeting and conference rooms 3.High-speed Wi-Fi 4.24-hour room service and concierge assistance 5.Fitness center for staying active during busy trips 6.In-room couples massages 7.Champagne and chocolate-covered strawberries upon arrival 8.Private balconies or terraces with romantic views 9.Romantic dinner packages at on-site restaurants 10.Jacuzzi tubs for two in the room 11.Kid-friendly amenities, such as a children's pool or play area 12.Complimentary breakfast for the whole family 13.Family suites with multiple rooms and beds 14.Game rooms or arcades for family fun 15.Cribs or rollaway beds for young children 16.On-site spa with a range of treatments 17.Yoga or meditation classes 18.Quiet rooms or adult-only areas 19.Outdoor pools and hot tubs for relaxation 20.Complimentary tea or coffee in the lobby Etc. Hotel Details: •Website: www.lotusibiza.com •Concierge Name: Beatrice Potts •Concierge Email: guestservices@lotusibiza.com •Address: Carrer Camí de sa Torre, 71, 07810 San Juan Bautista, Ibiza, Spain
  • 43. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 43 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | R E S U L T S Results  Demo: Hyper-Personalization Context Aware Amenity Recommendations Celebration Business Trip
  • 44. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 44 D E M O : H Y P E R - P E R S O N A L I Z A T I O N | R E S U L T S Results  Demo: Hyper-Personalization Family Vacation Romantic Getaway
  • 45. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 45 O P E N A I G P T & M A R K E T O | B E S T P R A C T I C E S & L I M I T A T I O N S Best Practices & Limitations  OpenAI GPT & Marketo • Beware of hallucinations. • Each model is different and is limited by the data it is trained on • Tell the model what format you want the information in • Test, test, test • You can fine-tune OpenAI’s models to train your own personalized model that you can then call. • Do not share sensitive data / Personal Identifiable Information (PII). OpenAI can use this data for training future models.
  • 46. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 46 O P E N A I G P T & M A R K E T O | M O R E U S E C A S E S More Use Cases  OpenAI GPT & Marketo • Interesting Moment History Summarization • Intelligent Message Routing / Categorizing • Lead routing to the appropriate sales rep based on contextual information • Data Cleansing / Formatting • Translation • False data detection • Intelligent scoring
  • 47. Q&A Josh Arrington Partner & Chief Marketing Technology Officer Kapturall
  • 48. WHERE ARE THE SPEAKERS FROM? For this month's VMUG we are going international! We have a true mix of cultures and insights into how Marketo/Martech is being leveraged globally ... and not to mention - a ton of air miles racked up between our speakers. See if you can guess where they are from/live from the clues.
  • 49. WHERE ARE THE SPEAKERS FROM? John Grundy - John originally comes from a small town 'down under' whose population peaked at 630 people in 1911. We don't expect you to guess the town - but the State is tasked with the paramount job of managing & protecting the Great Barrier Reef. He now lives in the "Venice of the North" - while visiting we recommend biking to get some stroopwafels or bitterballen. Joshua Arrington - Originally from a maritime city that is home of one of the most famous marathons, many Hollywood stars including an Avenger and a historic tea party, Josh now lives in “la capital del Turia" - a cultural city known for gorgeous food (it’s the birthplace of paella), nightlife, architecture and is in the same country as a band of robbers who executed the 'greatest heist in history'. Courtny Edwards-Jones - She traded in her cowgirl boots over a decade ago but still loves visiting her family in a city known for food, festivals and celebrating all things "weird" ... she then moved almost 5,000 miles across the pond to settle in the birthplace of industrialisation, the first computer and the Suffragettes.
  • 50. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 5 0 John Grundy ( ), is originally from a small town in Queensland (Jondaryan - extra points if you've heard of it) and now lives in ultra-cool Amsterdam ( )
  • 51. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 5 1 Joshua Arrington ( ), is originally from Boston but currently lives in Valencia ( ) .. we swoon over Spain, also any Money Heist fans in the house?
  • 52. © 2021 Adobe. All Rights Reserved. Adobe Confidential. 5 2 Courtny Edwards-Jones ( ), calls Austin, Texas 'home' (y'all!) and now lives in the second largest tech & startup hub in the UK, Manchester - also great for foodies and music lovers ( )

Editor's Notes

  1. ChatGPT for those who are not aware is an AI model that is capable of human-like conversations. There are some terms that may be used interchangeably but are different so just for reference. OpenAI is the organization that has created ChatGPT. ChatGPT is the web interface where you can chat with the AI Models. GPT Models are a specific type of AI model used by ChatGPT to generate the responses. And there may be further references to specific GPT models such as GPT4 or 3.5-Turbo these are just specific versions of the model.
  2. Next, Self-Service Flow Steps is a feature that came out for Marketo last year that allows us to extend the platform by creating our own flow actions to use in smart campaigns. These actions allow us to send and receive data from Marketo to an external service. In this case we are using them to connect to OpenAI’s API (ChatGPT) send a prompt and save the response on the person record. If you have questions about the Self-Service Flow steps I’m happy to answer them at the end of the presentation. And we also have another webinar coming up where we will specifically cover the topic. And we’ll make sure the information is in the follow up email for todays webinar.
  3. So our first use case for OpenAI’s GPT Models in Marketo is for intelligent segmentation. GPT models make quick work of organizing complex and messy data into well defined segments. You can use this for any kind of data, but for this demo we are going to use it to sort job titles into 12 job function segments. Job titles are a great example because they can very quite a bit even in the same industry and even for the same job function. This can be compounded further if you’re an international organization and you receive job titles in multiple languages. So imagine you want to set up targeted campaigns personalized by the individual's job function, but in your Marketo database all you have are titles.... hundreds or thousands of different titles that are not easily defined or segmented. Previously you would have to spend countless hours of either manually entering a role for each of these titles OR many hours setting up smart list rules to try to segment them. Both options would require extensive time commitment and dull mind numbing work, ultimately leading to an end product that would probably be subpar anyways But let’s dive in and see how we can use OpenAI to solve this problem and save our time and sanity
  4. Here you can see I’ve already created a “Job Function” segmentation inside Marketo. Now if I wanted to go through this process without the help of AI, I would probably need to create hundreds of rules targeting specific words and word combinations inside the job titles in order to assign people to the correct segment, and even then many would still fall through the cracks and end up in the default segment. BUT since GPT will be doing all of the work my rules can be super simple, Each segment will just have one filter, which is the persons job role must match exactly the name of the segment. But you can see currently all of the leads are sitting in our default segment because they haven’t qualified for any of the rules. Let's take a look at the data
  5. Here we can see the list, and we can see that while all of the records have a job title, none have any value for Role which is the field we are targeting with our segmentation. So next let's set up our smart campaign.
  6. Here in our smart campaign, for the Smart List we just have one simple filter. "Job Title is not empty" As long as the job title isn’t empty we have something for the GPT model to work with. Next let's look at the Flow of our Smart Campaign
  7. For the flow we have 2 steps. The first is a work around of sorts. Unfortunately as of now, Self-Service Flow Steps don’t support tokens directly in the fields, so we need a way of generating a personalized prompt for each record before sending to OpenAI. For this I’ve created a custom field called openAI prompt which we will update here with a change data value step before we send it to OpenAI. Second we have our Send Prompt step where we will actually send the prompt to OpenAI and get a response. Here we set the model we want to use, 3.5-turbo is the latest available right now. But this is a select so there's no need to memorize the models, you will always see the latest available. Next we will set the field where we want to store the response... I've selected leadRole. I will set a temperature of 0 and no additional context. I’m not going to go into the technicals of how this flow step works but the documentation is available on our website and it makes the process pretty easy to setup and use. It can usually be set up in under 20 mins. Now, the prompt field is a little small for you to see the text inside, so let me zoom in so we can look at what we’ll send to OpenAI
  8. Here when we zoom in, you can see the prompt we are using. Return only the category without quotes or any additional text, Categorize the job title...and here you can see we're using the token for job title. ...into one of the following categories... and you can see we're sending the model the exact segment names we want it to chose from. Now, I recommend using the ChatGPT web interface and testing out prompts before hand to be sure you’re getting a correct response and that it is in the format you want. In this case after some trial and error this is the prompt we will use.
  9. Now with our smart campaign set up, all we need to do is run it. I can see that in the schedule tab I have 1040 people who will qualify so let’s just run it and get these job titles sorted
  10. Ok, now after giving the campaign some time to run we will see how the AI did. If we refresh our smart list we'll see that all of the records now have a role populated, and they look correct here so let's take a look at the segmentation
  11. Looking at the segmentation, we can see that ALL leads have been assigned to a job function with zero left in the default segment so we can now use this for our targeting and personalization. And that's it! Our job titles are now neatly sorted into their respective functions so either we've made great strides in segmentation, or we've actually given the AI a full list of jobs available for it to take over.
  12. SO that was a good example of GPT's ability to categorize data for us accurately and in bulk... Our next scenario is around hyper personalization, and here is where we can really make use of the creative talent of ChatGPT.
  13. In this scenario imagine we have a hotel in Ibiza Spain. We want to personalize the confirmation emails we send when someone makes a booking. The common approach, is to build these emails with tokens and dynamic content which when done correctly is effective, but when it comes to something like hospitality you want a little more spark. You want something warm and inviting and often times the "MadLibs" style of tokens ends up sounding cold and robotic. ((CLICK)) So ironically enough the best solution we have, is to use AI to make it sound more human. With the right data and guidance an AI Model can create natural sounding, highly personalized messages. We call this hyper personalization because it goes beyond just adding in tokens and dynamic content and reaches a real hand written feel, where every message is completely unique while remaining accurate and on brand. So let's take a look at how we achieve this...
  14. Here we can see the form we are using. For the purpose of this demo, I’m just using a Marketo form but in a real scenario you may be working with a third party booking system, but as long as you have the data in Marketo you can pass it along to OpenAI. Here the keys are going to be the dates, the room type, the reason for traveling...and any additional requests. So let's see how we can use this data with openAI...
  15. With our form in place we can create our smart campaign. For the Smart list, we’re just going to trigger the flow any time someone fills out the booking form...
  16. For the flow, similar to the previous demo, we’ll have 2 steps. First we will write the prompt using tokens and store it in the OpenAI Prompt Field. Second we will send that prompt to OpenAI with our Self Service Flow Step. This time we will return the data to the openAIResponse Field. Give it a temperature of 10. And, you can think of the temperature as a creativity level. But keep in mind you probably don’t want to crank it all the way to 100, because you will notice it quickly get creative with facts and that could be problematic. This time we will also add some data in the Additional context field. This is data that is not dynamic such as hotel information and amenities just to give GPT some more specific data to work with. You can think of this field as just an overflow from your prompt field.
  17. So again, let’s zoom in to see what we’re going to pass to openAI in the prompt. Here we pass all of the booking data from our form and our instructions for how to assemble the booking confirmation paragraph by paragraph. While we are giving a specific format and data about the hotel, we are also letting the model rely on it’s own knowledge in Paragraph 3 where we ask it to personalize based on “what Ibiza is like in this time period and what activities are typically going on” We are also relying on the model’s judgement in paragraph 4 where we ask it to consider the additional requests and only show doubt if they seem “extreme” With the prompt design you can be very specific and use GPT to only customize specific things, or give less instruction and let the model be as creative as you want. It comes down to preference and purpose but the key is really testing the prompts ahead of time for accuracy and format.
  18. Here we see the additional context we are sending to GPT. We are passing in the hotel ameneties available as well as hotel and concierge details This could also be included directly in the prompt field but as we have the context field it’s easier to separate it, into the prompt, which we may want to change in the future and the data about the hotel that should stay fairly consistent.
  19. So I've gone ahead and tested with several variations of bookings, changing up the dates, number of guests and reason for travel as well as thrown some additional requests in. Here we can see some of the results side by side. On the left we have a business trip booking and on the right a booking for a celebration. We can immediately see that while the first paragraph is pretty cookie cutter, the suggestions in the second paragraph are highly tailored to the occasion. While the business response highlights high speed wi-fi and a business center the celebration booking receives recommendations about the spa, pools and dinning packages. GPT shows that it is time, location and weather aware with comments specific to the dates, expected temperatures and even recommending the Ibiza Jazz Festival for the guest staying in October… which I actually had to look up and is completely accurate.
  20. Here we see some more results side-by-side for a Family Vacation Booking and a Romantic Getaway. And we see again the AI has done a great job of tailoring the messages to the data and format we gave it while also sprinkling in data from its own knowledgebase and giving us an end result that feels quite warm and authentic. While it’s true that if the guidelines are not well written or the temperature setting is too high you may have some minor errors…but since these errors are made by an AI, you can just ”Fire” them, revise your prompts, give your AI concierge a new name and viola you have a new better trained team member …so those are our 2 specific use cases for today, now let’s discuss some general best practices and limitations
  21. Beware of hallucinations. GPT models are often confidently incorrect. So be sure to test your prompts and to be strategic with your wording Models are limited by the data. The chat GPT models are only trained up to late 2022 and for every model there is an end date to it’s knowledge so be aware of this when sending prompts that may rely on more recent data Tell the model what format you want. The more specific you can be the better, otherwise it may take liberties you are not expecting. Often times GPT models will give commentary, restate the question or show it’s work so if you don’t want that data stored in your records then it’s best to be specific Again, prompt engineering is an art. Test and verify your prompts to be sure you are getting the correct response and in the format you want You can fine tune OpenAI’s models. Again here I won’t get into the technicals, but if you have specific data you want the models to be aware of, you can set up a process to train a GPT model with that data. You basically feed the data in a Q&A format and it creates a new custom model that is specific for you and that you control. 6. Finally, and this is important. Don’t send sensitive or personal Identifiable data in prompts. OpenAI can use prompt data in updating and training future models and you don’t want that data ending up in those models knowlegebase
  22. So hopefully by this point you have a better idea of how the process works, and I’m sure given the high level of the people I see in the attendee list, you have some great ideas on how to put ChatGPT to work in your Marketo Instance… I would love to hear all of them by the way…. But here are just a selection of other use cases we also recommend. Interesting Moment History – With this we would be creating a human readable description of a leads journey. Each time a new interesting moment happens we would send that moment to OpenAI along with the current story and ask GPT to update it. With this you could have a deep understanding of that journey kept on the record. Intelligent Message Routing – If you have a contact us or support form on your site, you could use Open AI to read those messages and then help you categorize them as positive/ negative, urgent / secondary or categorize them based on department and route them Lead routing – Similar to the message routing, you can route leads based on may factors, giving the model a description of your rules and the lead data and letting it make the assignments Data Cleansing – Whether it’s capitalization, phone number formatting, fixing typos or bad characters, GPT is very good at cleaning dirty data Translation – GPT can translate text into dozens of languages and even mimic local dialects to really give it a natural feel False Data Detection – GPT models can also do a great job of detecting fake data so you don’t end up with a database full of John Doe’s and Micky Mouses And finally Intelligent Scoring – Often times scoring models are complex, consisting of multiple scores across product lines or interests but with a little guidance GPT can make perfect sense of what is happening across those scores update them, aggregate them and give insights