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AI in Marketing
JoMetry
PERFORMANCE MARKETING
Marketing Strategy| Product Management | Product Marketing
Boston – San Francisco – Los Angeles
http:/www.jometry.com
Winning Strategies for a Changing Landscape
Topics
▪ What is AI?
▪ Types of AI
▪ Narrow AI – Emerging Use
Cases
▪ The Algorithms of AI
▪ Top 5 objectives
▪ What is AI doing for
Marketing?
▪ Emerging AI Applications in
Marketing
▪ Planning for AI Marketing
▪ The Near Future
▪ AI Marketing Startups
Part 1 –What’s AI Part 2 – AI in Marketing
About JoMetry
JoMetry is a one-of-a-kind marketing agency offering focused professional services designed to power your
marketing programs with the latest tools, technologies, and proven marketing practices. We specialize in data-
driven marketing programs, and providing expertise over the entire product lifecycle from conception and
development to market launch and growth. Our practitioners are a unique blend of professionals at the
intersection of marketing practices, Data Science, and cutting edge of technology. JoMetry offers
comprehensive programs in the following areas:
• Marketing Strategy
• Digital Marketing
• Marketing Analytics
• Market Research
• Training
What is AI
• Learning
• Reasoning
• Problem Solving
• Planning
• Creativity
• Social Awareness
• Perception
• Motion
• Manipulation
AI Systems are software programs that demonstrate at least a few of
the following activities associated with human intelligence:
Mental Physical
The activities on the left are
associated with Machine
Intelligence while the
activities above are related to
Robotics.
AI, Machine Learning, and Robotics form a natural alliance
Machine Learning – the
method in which vast amounts of
information is fed to a neural
network based AI system to train
it.Vision and Language
recognition systems are good
examples
Robotics – the science of
creating programmable electro-
mechanical devices that can
autonomously interact with their
environment and without the
need for human oversight and
interaction.
Types of AI
• Intelligent system
• Trained
• Task oriented
• No specific
programming for tasks
• Cannot adapt
• Highly adaptable
• Can learn vastly
different tasks
• No limit to learning
• Achieve Sentience???
Narrow General
Examples
• Chatbots
• Virtual Assistants
• Vision Recognition
• Predictive Analytics
????
Don’t exist yet!
Features
Emerging Use Cases (Narrow AI)
Vast amount of Use Cases shaping up for Narrow AI. A few examples:
• Coordinating complex tasks such as booking all elements of travel
(Airline, Hotel, Cabs, Events etc.)
• Sensor based Equipment diagnostics for maintenance and repair
• Medical analytics such as disease diagnostics, tumor analysis etc.
• Video Analysis of rooftops, Lidar analysis of Geological features, etc.
• Analysis of content on websites (for e.g. to flag disallowed content)
AI Algorithms
• Feedforward ANN / Feedback
ANN
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Deep Learning
• Recurrent Neural Network
• Convolutional Neural
Network
• Long-ShortTerm Memory
(LSTM)
• Back Propagation
• Bayesian Networks
ML and Neural Nets
Evolutionary Computing
• BFS – Breadth First Search
• DFS - Depth First Search
• DLS – Depth Limited Search
• IDS – Iterative Deepening
Search
• UCS – Uniform Cost Search
Uninformed Search
• Genetic Algorithms
Expert Systems
• Greedy Search
• A* Search
Informed Search
• Fuzzy Logic
• Experts Systems
AI in Marketing - Top 5 Objectives*
1. Drive Revenue Growth
2. Better Serve Existing
Customers
3. Meet Rising Customer
Expectations
4. Remain Competitive
5. Improve/Strengthen Our
Brand
*Emarsys/Forrester Survey – July 2017
Why AI in Marketing?
AI can vastly improve
• Finding patterns in mountains of data that
cannot be easily analyzed with other
techniques
• Real-time analysis of streaming data
• Creating efficient and better customer
experiences (CX)
• Automating redundant human processes
What is AI doing for Marketing
• Real-time determination
ofTargets (e.g. in PPC
advertising)
• Mitigating customer churn
with dynamic discounts
and offers
• Identifying and promoting
X-Sell/UpSell
opportunities
Action
Operations (Real-Time)
• Omnichannel Customer Insights
- Understanding customer
experience and behavior by
channel (Retention, CX
Improvement, X-Sell/UpSell)
• Predictions (Purchase readiness,
X-Sell/UpSell, Opportunity
Customer Churn)
Insights
• Content Customization -
Managing real-time
interactions to personalize
content
• Shopping Help (Chatbots
for product
recommendations,
Customer Service)
• Facial Recognition (Improve
CX, Link to downstream
systems)
Stream Processing
Analytics
Most AI applications today focus on existing use cases!
Segmentation
DB
The Near Future
In the next five years, these areas of AI in Marketing will see the fastest
adoption:
1. Price Optimization will get better and will make its way to many more industries
2. Improved Demand Forecasting will create up to 20% inventory reduction
efficiencies
3. Propensity models for Cross-Sell and UpSell will get much better
4. Customer Segmentation, increased micro-segmentation, and more accurate Sales
Projections
5. Dynamic Optimization of the marketing-mix will become a reality
Planning for AI Marketing
• Strategy
• Understand where AI can benefit your organization
• Assess current capabilities (People, Processes,Technology)
• Plan
• Sell the benefits to Executive Management and Obtain the budget
• Create the right environment
• Develop appropriate skills, and people
• Integrate AI initiatives into your Marketing Plan
• Execute
• Select the AITechnologies that fit your objectives
• Integrate AI tools into campaign activities
• Measure results and adjust tactics
Marketing AI Startups
• Appier (Taiwan): Real-time ad-optimization engine that uses AI to predict what audience members are
likely to do next. Finds your audience across multiple digital devices, emphasizing the mobile.They’re
creating a more evolved and sophisticated version of your own audience data pool, which used to be called
‘cookie pools’.
• Drawbridge Identity Platform – Uses AI to assign unique IDs to users whichever device they come from.
The “anonymized ID” is chiefly used for targeted marketing but can also be used beyond advertising for uses
such as fraud detection)
• InsideSales.com – AI-powered Sales Acceleration - feeds off of trillions of data points on B2B
transactions.The cross-company data allows Neuralytics to make predictions that help sales reps prioritize
the most effective sales activities.
• Persado - finds the phrases and words that drive the greatest action for your audience. Can be used in
advertising and other areas where actions can be encouraged.
Marketing AI Startups
• UIPath – Robotic process automation leveraging computer vision to operate the UI of software more
efficiently and accurately than human users.
• Invoca – CallTracking and Analytics - Signal AI, uses machine learning algorithms to analyze live
phone conversations to understand caller intent and outcomes.The solution is built for higher quality
leads, greater marketing insights, and increasing pipeline.
• Conversica – Automated Sales Assistant - automates and improves routine business
conversations using virtual assistants powered by artificial intelligence.The Sales Assistant engages
every lead in a human conversation to qualify more of them for the sales team, freeing humans to
spend more time closing business.
Marketing AI Startups
• Gong.io – Gong’s conversation intelligence platform records, transcribes, and analyzes all of your
sales calls so you can drive sales effectiveness at scale, figure out what’s working and what’s not, and
ramp new hires faster by helping them replicate your top performers.
• Amplero – Artificial Intelligence Marketing (AIM) Platform that leverages machine learning and multi-
armed bandit experimentation to enable marketers to achieve better results.

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AI in Marketing

  • 1. AI in Marketing JoMetry PERFORMANCE MARKETING Marketing Strategy| Product Management | Product Marketing Boston – San Francisco – Los Angeles http:/www.jometry.com
  • 2. Winning Strategies for a Changing Landscape
  • 3. Topics ▪ What is AI? ▪ Types of AI ▪ Narrow AI – Emerging Use Cases ▪ The Algorithms of AI ▪ Top 5 objectives ▪ What is AI doing for Marketing? ▪ Emerging AI Applications in Marketing ▪ Planning for AI Marketing ▪ The Near Future ▪ AI Marketing Startups Part 1 –What’s AI Part 2 – AI in Marketing
  • 4. About JoMetry JoMetry is a one-of-a-kind marketing agency offering focused professional services designed to power your marketing programs with the latest tools, technologies, and proven marketing practices. We specialize in data- driven marketing programs, and providing expertise over the entire product lifecycle from conception and development to market launch and growth. Our practitioners are a unique blend of professionals at the intersection of marketing practices, Data Science, and cutting edge of technology. JoMetry offers comprehensive programs in the following areas: • Marketing Strategy • Digital Marketing • Marketing Analytics • Market Research • Training
  • 5. What is AI • Learning • Reasoning • Problem Solving • Planning • Creativity • Social Awareness • Perception • Motion • Manipulation AI Systems are software programs that demonstrate at least a few of the following activities associated with human intelligence: Mental Physical The activities on the left are associated with Machine Intelligence while the activities above are related to Robotics. AI, Machine Learning, and Robotics form a natural alliance Machine Learning – the method in which vast amounts of information is fed to a neural network based AI system to train it.Vision and Language recognition systems are good examples Robotics – the science of creating programmable electro- mechanical devices that can autonomously interact with their environment and without the need for human oversight and interaction.
  • 6. Types of AI • Intelligent system • Trained • Task oriented • No specific programming for tasks • Cannot adapt • Highly adaptable • Can learn vastly different tasks • No limit to learning • Achieve Sentience??? Narrow General Examples • Chatbots • Virtual Assistants • Vision Recognition • Predictive Analytics ???? Don’t exist yet! Features
  • 7. Emerging Use Cases (Narrow AI) Vast amount of Use Cases shaping up for Narrow AI. A few examples: • Coordinating complex tasks such as booking all elements of travel (Airline, Hotel, Cabs, Events etc.) • Sensor based Equipment diagnostics for maintenance and repair • Medical analytics such as disease diagnostics, tumor analysis etc. • Video Analysis of rooftops, Lidar analysis of Geological features, etc. • Analysis of content on websites (for e.g. to flag disallowed content)
  • 8. AI Algorithms • Feedforward ANN / Feedback ANN • Supervised Learning • Unsupervised Learning • Reinforcement Learning • Deep Learning • Recurrent Neural Network • Convolutional Neural Network • Long-ShortTerm Memory (LSTM) • Back Propagation • Bayesian Networks ML and Neural Nets Evolutionary Computing • BFS – Breadth First Search • DFS - Depth First Search • DLS – Depth Limited Search • IDS – Iterative Deepening Search • UCS – Uniform Cost Search Uninformed Search • Genetic Algorithms Expert Systems • Greedy Search • A* Search Informed Search • Fuzzy Logic • Experts Systems
  • 9. AI in Marketing - Top 5 Objectives* 1. Drive Revenue Growth 2. Better Serve Existing Customers 3. Meet Rising Customer Expectations 4. Remain Competitive 5. Improve/Strengthen Our Brand *Emarsys/Forrester Survey – July 2017 Why AI in Marketing? AI can vastly improve • Finding patterns in mountains of data that cannot be easily analyzed with other techniques • Real-time analysis of streaming data • Creating efficient and better customer experiences (CX) • Automating redundant human processes
  • 10. What is AI doing for Marketing • Real-time determination ofTargets (e.g. in PPC advertising) • Mitigating customer churn with dynamic discounts and offers • Identifying and promoting X-Sell/UpSell opportunities Action Operations (Real-Time) • Omnichannel Customer Insights - Understanding customer experience and behavior by channel (Retention, CX Improvement, X-Sell/UpSell) • Predictions (Purchase readiness, X-Sell/UpSell, Opportunity Customer Churn) Insights • Content Customization - Managing real-time interactions to personalize content • Shopping Help (Chatbots for product recommendations, Customer Service) • Facial Recognition (Improve CX, Link to downstream systems) Stream Processing Analytics Most AI applications today focus on existing use cases! Segmentation DB
  • 11. The Near Future In the next five years, these areas of AI in Marketing will see the fastest adoption: 1. Price Optimization will get better and will make its way to many more industries 2. Improved Demand Forecasting will create up to 20% inventory reduction efficiencies 3. Propensity models for Cross-Sell and UpSell will get much better 4. Customer Segmentation, increased micro-segmentation, and more accurate Sales Projections 5. Dynamic Optimization of the marketing-mix will become a reality
  • 12. Planning for AI Marketing • Strategy • Understand where AI can benefit your organization • Assess current capabilities (People, Processes,Technology) • Plan • Sell the benefits to Executive Management and Obtain the budget • Create the right environment • Develop appropriate skills, and people • Integrate AI initiatives into your Marketing Plan • Execute • Select the AITechnologies that fit your objectives • Integrate AI tools into campaign activities • Measure results and adjust tactics
  • 13. Marketing AI Startups • Appier (Taiwan): Real-time ad-optimization engine that uses AI to predict what audience members are likely to do next. Finds your audience across multiple digital devices, emphasizing the mobile.They’re creating a more evolved and sophisticated version of your own audience data pool, which used to be called ‘cookie pools’. • Drawbridge Identity Platform – Uses AI to assign unique IDs to users whichever device they come from. The “anonymized ID” is chiefly used for targeted marketing but can also be used beyond advertising for uses such as fraud detection) • InsideSales.com – AI-powered Sales Acceleration - feeds off of trillions of data points on B2B transactions.The cross-company data allows Neuralytics to make predictions that help sales reps prioritize the most effective sales activities. • Persado - finds the phrases and words that drive the greatest action for your audience. Can be used in advertising and other areas where actions can be encouraged.
  • 14. Marketing AI Startups • UIPath – Robotic process automation leveraging computer vision to operate the UI of software more efficiently and accurately than human users. • Invoca – CallTracking and Analytics - Signal AI, uses machine learning algorithms to analyze live phone conversations to understand caller intent and outcomes.The solution is built for higher quality leads, greater marketing insights, and increasing pipeline. • Conversica – Automated Sales Assistant - automates and improves routine business conversations using virtual assistants powered by artificial intelligence.The Sales Assistant engages every lead in a human conversation to qualify more of them for the sales team, freeing humans to spend more time closing business.
  • 15. Marketing AI Startups • Gong.io – Gong’s conversation intelligence platform records, transcribes, and analyzes all of your sales calls so you can drive sales effectiveness at scale, figure out what’s working and what’s not, and ramp new hires faster by helping them replicate your top performers. • Amplero – Artificial Intelligence Marketing (AIM) Platform that leverages machine learning and multi- armed bandit experimentation to enable marketers to achieve better results.