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OPTIMIZE YOUR AD CAMPAIGNS WITH MACHINE LEARNING
RIOT uses machine learning to optimize advertising
We do this by dynamically changing messaging, images and context
to determine how to positively influence the consumer purchase
cycle.
With RIOT brands can test hundreds of messages, creative and
contextual placement to determine the best combination for success.
RIOT: READER INTENT OVER TIME
RIOT visualizes the
consumer
purchase path to
determine the right
combination of
creative,
messaging and
context that will
help increase user
intent.
VISUAL USERFACE
Shows the kind of content
ad is shown against
What creative +
messaging has been
placed against ad
Segment audience
based on most
optimized purchase path
VISUAL USERFACE
The RIOT Score
incorporates
context/content,
creative and
engagement to
rate the
effectiveness of
each ad on a 1 to
10 scale
EFFECTIVENESS RATINGS
Once RIOT has
an algorithm for
GM, we can
deliver multiple
creatives to test
and optimize in
real-time
CREATIVE ALGORITHMS
AD
PUBLISHER
SEARCH
ECOMMERCE
COUPON
TIME
USERPURCHASEJOURNEY
Why RIOT works - an
algorithm that breaks
down individual user
purchase journeys to
understand the impact
of advertising and
creative
We have spent over 2
years building our own
machine learning
training data set that
looks at ever click an
individual makes on
desktop and mobile
browser with the goal of
identifying the exact
time in the purchase
journey for someone to
see an ad.
INTENT-DRIVEN ALGORITHMS
$
PUBLISHER
AD
OFFER
We partner with data
providers to improve
machine learning
This helps us build
stronger audience
segments and improve
ad performance Single
user
PARTNERING WITH DATA PROVIDERS
SOCIAL
MOBILE
SURVEY
BROWSING
HISTORY
LOCATION
A custom machine learning model to optimize campaigns
‣Know what creative to place where in the path
‣Gather data on users to create better audience segments
‣Test messaging and creative at larger scale
THE RIOT TEAM
Ashwini Anburajan, Founder & CEO
Ashwini was an early employee at BuzzFeed where she grew their data network,
tracking the reading habits of 500 million people over 250 publishers and releasing
data products and research. She started her career as a journalist for NBC News and
has worked for Hearst, USA Today and AOL.
Brian Davis, CTO
Brian was an early Pandora engineer working exclusively for the Pandora Creative Team,
after helping Pandora go public, he founded his own business helping to create Machine
Learning for US Military Intelligence.
RIOT INVESTORS, CLIENTS AND PARTNERS
Institutions and Angel Investors From
Clients

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OpenUp Pitch Deck

  • 1. Brought to you by OPTIMIZE YOUR AD CAMPAIGNS WITH MACHINE LEARNING
  • 2. RIOT uses machine learning to optimize advertising We do this by dynamically changing messaging, images and context to determine how to positively influence the consumer purchase cycle. With RIOT brands can test hundreds of messages, creative and contextual placement to determine the best combination for success. RIOT: READER INTENT OVER TIME
  • 3. RIOT visualizes the consumer purchase path to determine the right combination of creative, messaging and context that will help increase user intent. VISUAL USERFACE
  • 4. Shows the kind of content ad is shown against What creative + messaging has been placed against ad Segment audience based on most optimized purchase path VISUAL USERFACE
  • 5. The RIOT Score incorporates context/content, creative and engagement to rate the effectiveness of each ad on a 1 to 10 scale EFFECTIVENESS RATINGS
  • 6. Once RIOT has an algorithm for GM, we can deliver multiple creatives to test and optimize in real-time CREATIVE ALGORITHMS
  • 7. AD PUBLISHER SEARCH ECOMMERCE COUPON TIME USERPURCHASEJOURNEY Why RIOT works - an algorithm that breaks down individual user purchase journeys to understand the impact of advertising and creative We have spent over 2 years building our own machine learning training data set that looks at ever click an individual makes on desktop and mobile browser with the goal of identifying the exact time in the purchase journey for someone to see an ad. INTENT-DRIVEN ALGORITHMS $ PUBLISHER AD OFFER
  • 8. We partner with data providers to improve machine learning This helps us build stronger audience segments and improve ad performance Single user PARTNERING WITH DATA PROVIDERS SOCIAL MOBILE SURVEY BROWSING HISTORY LOCATION
  • 9. A custom machine learning model to optimize campaigns ‣Know what creative to place where in the path ‣Gather data on users to create better audience segments ‣Test messaging and creative at larger scale
  • 10. THE RIOT TEAM Ashwini Anburajan, Founder & CEO Ashwini was an early employee at BuzzFeed where she grew their data network, tracking the reading habits of 500 million people over 250 publishers and releasing data products and research. She started her career as a journalist for NBC News and has worked for Hearst, USA Today and AOL. Brian Davis, CTO Brian was an early Pandora engineer working exclusively for the Pandora Creative Team, after helping Pandora go public, he founded his own business helping to create Machine Learning for US Military Intelligence.
  • 11. RIOT INVESTORS, CLIENTS AND PARTNERS Institutions and Angel Investors From Clients