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Hosted by
Kim MacKenzie
Eddie Ryce
Keith Gutu
2019 Digital Trends
Webinar
Your Hosts
Kim MacKenzie Eddie Ryce Keith Gutu
House Rules. . .
Next webinar
21st March 2019
Topic
Voting (2 topics to choose from)
• Cloud based Content Management
(SaaS)
• Intuitive e-commerce to increase sales
3pm GMT
Topics . . .
• How Visual Search works & will evolve eCommerce
• How Artificial Intelligence is going to start to play a leading role
in strategy and content marketing
• How Machine Learning is revolutionising online personalization
• The new emerging technologies, tactics and methods that are
going to impact digital marketing
• Q&A
Visual search & ecommerce
What Is Visual Search
 Intuitive results driven from data
collection through the development of (AI)
Artificial Intelligence and (ML) Machine
Learning.
 Ability to scan, capture “real life” images
instantaneously via devices, enabling
precise informative options to what the
brain is visually stimulated by, in any given
moment.
 Effortless online search through images &
voice rather than effort through “typing of
keywords”.
How It Works
 The human brain is programmed to perform
best at problem solving or explaining ideas
through visual & voice stimuli, rather
transcribing into words.
 90% of information transmitted to the brain is
visual. Technology is building to “think” for us
through visual search imaging.
 Patterns of images are identified via Device
Operating Systems and Search Engines to
deliver results with speed and accuracy.
 Benefits with Visual Search is to make online :-
 Effortless - Online Hunter/Gather search
 Seamless - “Initial Thought” to “Purchase”
 Instant Gratification
Lowdown On Visual Search in 2019
 According to Gartner, by 2021, early adopters’
brands that redesign their websites to
support visual and voice search will increase
digital commerce revenue by 30%. –
blog.buildabazaar.com
 Three-quarters (74%) of consumers agree that
text based keyword searches are inefficient in
helping to find the right product online. -
campaignlive.co.uk
 62% of Millennials desire the ability to visually
search over any other new technology -
socialmediatoday.com/
 Due to large brands & retailers offering visual
search, expectation by consumers is for
smaller companies to apply and support
same.
Essentials For Online Growth
 Ensuring online content aligns with the 2018
Google Algorithm Core Update.
 Leading the way with E.A.T. principles
 Expertise
 Authority
 Trust
 Benchmarked Competitor Analysis
 Strategic Planning & Marketing Budgets
 Intuitive & Robust CMS Platform
AI & Content Marketing
Just what is AI
“Artificial intelligence (AI) is the
simulation of human intelligence
processes by machines”
Stats
 51% of UK Businesses don’t have an AI Strategy
(Microsoft)
 According to Gartner, 30% of companies worldwide
will be using AI in at least one of their sales processes
by 2020
 In 2019, IDC shared last year that 40% of digital
transformation initiatives as well as 100% of IoT
initiatives will be by AI supported.
 Forrester predicts that by 2020, businesses with data-
insights-driven teams will grab $1.2 trillion from peers
without that culture.
AI and it’s place in Content Marketing
 Content curation & atomisation
AI and it’s place in Content Marketing
 Content curation & atomisation
 Repetitive content at scale
AI and it’s place in Content Marketing
 Content curation & automation
 Repetitive content at scale
 Drive content and Digital Marketing ROI
AI and it’s place in Content Marketing
 Content curation & automation
 Repetitive content at scale
 Drive content and Digital Marketing
ROI
 Drive real-time content
personalisation
AI and it’s place in Content Marketing
 Content curation & automation
 Repetitive content at scale
 Drive content and Digital Marketing
ROI
 Drive real-time content
personalisation
 Predictive content analytics
Machine learning &
Online personalisation
What is Machine Learning?
 Machine learning is a subset of AI
 Algorithms that can access data, learn
autonomously without human input
 Able to adjust actions based on that
learning
Rules based vs Machine learning Personalisation
 Rules based personalisation, allows you to serve
appropriate product and content recommendations
based on predefined rules or segments
 Limited by the set of predefined rules
 Involves many hours of manual analysis
 Machine learning based personalisation,
allows you create unique experiences for
individuals through recipes or parameters
 Not limited by manual input from a marketer
 Successful use cases include, Netflix and
Spotify
Evolution in CMS Software Platforms
 Smart lead capturing
 Easily customisable Page Builders, as far
down as page variants
 Journey based personalisation
 Third party integrations with content
recommendation engines i.e. Recombee
 Kentico, Sitecore, Magento
Top Tips
 Select forward thinking innovative CMS
Software platforms, future proof yourselves and
your organisations
 Consider which data you want to use to
personalise content, before you start
personalising content. E.g. Personas, Contact
groups, Website activities, Campaigns
 Define Your Content Personalisation Rules e.g.
purchase stage, location, time of the day
Emerging
technologies, tactics
and methods
Cloud based Content Management (SaaS)
 Content is managed and served independently of
any one channel (headless approach)
 CM sits in the middle and acts as the central
content repository accessed through APIs
 Makes it possible to deliver content to users
through other channels (e.g. IOT, voice assistance
such as Amazon Echo and Alexa) and not just
standard websites
 Cheaper initial investment
 No more added upgrade costs associated with
traditional CMS platforms
 Flexible pricing structure
 Software providers leading the way - Kentico,
Sitecore
Thank you!
Any Questions?

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2019 Digital Trends Webinar

  • 1. Hosted by Kim MacKenzie Eddie Ryce Keith Gutu 2019 Digital Trends Webinar
  • 2. Your Hosts Kim MacKenzie Eddie Ryce Keith Gutu
  • 3. House Rules. . . Next webinar 21st March 2019 Topic Voting (2 topics to choose from) • Cloud based Content Management (SaaS) • Intuitive e-commerce to increase sales 3pm GMT
  • 4. Topics . . . • How Visual Search works & will evolve eCommerce • How Artificial Intelligence is going to start to play a leading role in strategy and content marketing • How Machine Learning is revolutionising online personalization • The new emerging technologies, tactics and methods that are going to impact digital marketing • Q&A
  • 5. Visual search & ecommerce
  • 6. What Is Visual Search  Intuitive results driven from data collection through the development of (AI) Artificial Intelligence and (ML) Machine Learning.  Ability to scan, capture “real life” images instantaneously via devices, enabling precise informative options to what the brain is visually stimulated by, in any given moment.  Effortless online search through images & voice rather than effort through “typing of keywords”.
  • 7. How It Works  The human brain is programmed to perform best at problem solving or explaining ideas through visual & voice stimuli, rather transcribing into words.  90% of information transmitted to the brain is visual. Technology is building to “think” for us through visual search imaging.  Patterns of images are identified via Device Operating Systems and Search Engines to deliver results with speed and accuracy.  Benefits with Visual Search is to make online :-  Effortless - Online Hunter/Gather search  Seamless - “Initial Thought” to “Purchase”  Instant Gratification
  • 8. Lowdown On Visual Search in 2019  According to Gartner, by 2021, early adopters’ brands that redesign their websites to support visual and voice search will increase digital commerce revenue by 30%. – blog.buildabazaar.com  Three-quarters (74%) of consumers agree that text based keyword searches are inefficient in helping to find the right product online. - campaignlive.co.uk  62% of Millennials desire the ability to visually search over any other new technology - socialmediatoday.com/  Due to large brands & retailers offering visual search, expectation by consumers is for smaller companies to apply and support same.
  • 9. Essentials For Online Growth  Ensuring online content aligns with the 2018 Google Algorithm Core Update.  Leading the way with E.A.T. principles  Expertise  Authority  Trust  Benchmarked Competitor Analysis  Strategic Planning & Marketing Budgets  Intuitive & Robust CMS Platform
  • 10. AI & Content Marketing
  • 11. Just what is AI “Artificial intelligence (AI) is the simulation of human intelligence processes by machines”
  • 12. Stats  51% of UK Businesses don’t have an AI Strategy (Microsoft)  According to Gartner, 30% of companies worldwide will be using AI in at least one of their sales processes by 2020  In 2019, IDC shared last year that 40% of digital transformation initiatives as well as 100% of IoT initiatives will be by AI supported.  Forrester predicts that by 2020, businesses with data- insights-driven teams will grab $1.2 trillion from peers without that culture.
  • 13. AI and it’s place in Content Marketing  Content curation & atomisation
  • 14. AI and it’s place in Content Marketing  Content curation & atomisation  Repetitive content at scale
  • 15. AI and it’s place in Content Marketing  Content curation & automation  Repetitive content at scale  Drive content and Digital Marketing ROI
  • 16. AI and it’s place in Content Marketing  Content curation & automation  Repetitive content at scale  Drive content and Digital Marketing ROI  Drive real-time content personalisation
  • 17. AI and it’s place in Content Marketing  Content curation & automation  Repetitive content at scale  Drive content and Digital Marketing ROI  Drive real-time content personalisation  Predictive content analytics
  • 18. Machine learning & Online personalisation
  • 19. What is Machine Learning?  Machine learning is a subset of AI  Algorithms that can access data, learn autonomously without human input  Able to adjust actions based on that learning
  • 20. Rules based vs Machine learning Personalisation  Rules based personalisation, allows you to serve appropriate product and content recommendations based on predefined rules or segments  Limited by the set of predefined rules  Involves many hours of manual analysis  Machine learning based personalisation, allows you create unique experiences for individuals through recipes or parameters  Not limited by manual input from a marketer  Successful use cases include, Netflix and Spotify
  • 21. Evolution in CMS Software Platforms  Smart lead capturing  Easily customisable Page Builders, as far down as page variants  Journey based personalisation  Third party integrations with content recommendation engines i.e. Recombee  Kentico, Sitecore, Magento
  • 22. Top Tips  Select forward thinking innovative CMS Software platforms, future proof yourselves and your organisations  Consider which data you want to use to personalise content, before you start personalising content. E.g. Personas, Contact groups, Website activities, Campaigns  Define Your Content Personalisation Rules e.g. purchase stage, location, time of the day
  • 24. Cloud based Content Management (SaaS)  Content is managed and served independently of any one channel (headless approach)  CM sits in the middle and acts as the central content repository accessed through APIs  Makes it possible to deliver content to users through other channels (e.g. IOT, voice assistance such as Amazon Echo and Alexa) and not just standard websites  Cheaper initial investment  No more added upgrade costs associated with traditional CMS platforms  Flexible pricing structure  Software providers leading the way - Kentico, Sitecore