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Gravity R&DCorporate Presentation
Gravity’s expertise
+Gravity uses machine learning and big data analytics to
create personalized user journeys across all touch points.
Tied 1st, Netflix Prize world’s largest machine learning competition to predict visitor taste.
Budapest
University of
Technology
18,000 teams
CineMatch
system
USD 1,000,000
Gravity Talking Points
Tied for 1st in the Netflix Prize
• The world’s largest machine learning competition
• Competition ran for three years against 18,000 teams
Research backed, scientifically proven methodology with patented
algorithms USPTO 8,676,736 (37 claims)
• Most active company in the field of recommender system research
• 200+ journal publications that have been cited over 2,000 times
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Key Benefits
Generates $6-10
revenue / 1,000
recommendations
Increases Conversion,
Engagement, GMV
Response time
under 200ms10%+ Increase in
Average CTR
Typical experience in an online shop
Prepared by James Ho for Lighthouse Chapter
Paradox of choice – lost and impatient
Prepared by James Ho for Lighthouse Chapter
The BETTER way: predict and present what they are looking for.
Prepared by James Ho for Lighthouse Chapter
Our Specialty: Monetise your data
Prepared by James Ho for Lighthouse Chapter
Results: Numbers speaks for itself
Prepared by James Ho for Lighthouse Chapter
TRACKS LEARNANALYSES
The TASTE of the user
How to predict?
then SERVES them the
content they LIKE
Reco Building Blocks
For more information about Gravity’s technology, please go to
http://www.gravityrd.com/technology.
11/30/2016
How does it work?
• …tracks multiple information sources
• …uses best-in-class math algorithms
• …responds real-time
• …is scalable
• …has seamless self-learning capabilities
• …has a powerful control panel and dashboard
What makes a good recommendation system?
A system that…
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Performance makes the difference
Full product feature Customizable solutions
Competitive advantage proven in global tenders: Gravity won all
head-to-head contests (A/B-test) to acquire clients like
Dailymotion, P&G India, Allegro (Poland), eMag (CEE), and
BomNegocio/OLX (Brazil), etc. in the past two years.
100’s of algorithms
Copyright © 2016 by Gravity R&D Zrt. All rights reserved.
Solutions
Gravity’s Products and Features
Omnichannel Recommendations
• Mobile / Desktop / iPhone & Android Apps
Personalized Emails & Push Notifications
Smart Search
• Autocomplete, Autocorrect, Search result re-ranking
Retargeting
• Through ad networks and third party sites
Copyright © 2016 by Gravity R&D Zrt. All rights reserved.
Omnichannel Recommendations
Recommendation boxes layout - Desktop
YouTube-like layout Amazon-like layout
You see all the time but sometimes we are not aware
where it is used.
v
Welcome to Allegro!The holiday season is just around the corner,
here are some items we currently have on
sale.
Personalization - Different Results, for Different People
Welcome Back Brian!Because you’ve been searching for
smartphones, we’d like to recommend the
following items that are on sale.
NEW ADDITION
TOP PICKS FOR YOU
SALE ITEMS
ITEMS YOU MAY LIKEPEOPLE WHO VIEWED
THIS ALSO VIEWED
MAIN PAGE CATEGORY PAGE PRODUCT PAGE
OTHERS ALSO BOUGHT
CART PAGE
Recommending supplementary and frequently bought together products
Other Page Types like „Exit Pages”
• Personally relevant recommendations to prevent the user from leaving the site on
pages like: zero result page, 404, 410 etc.
Personally for you
Mobile Platform Placements
Application
Main Page
Application
Product Page
Mobile Browser
Product Page
Copyright © 2016 by Gravity R&D Zrt. All rights reserved.
Personalized Emails & Push Notifications
Smart Mail
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Smart Mail
Event Driven Email Marketing
Gravity’s API integrates personalized messages into both Android and iOS applications.
Targeted notifications are triggered based on user behavior and physical location.
You can now leverage customer data, enhancing your ability to segment, retarget, cross sell and upsell.
Personalized Push Notifications
Examples of Interactive Android Push Notifications
Inactive User
Reminder
Product
Recommendation
Copyright © 2016 by Gravity R&D Zrt. All rights reserved.
Smart Search
Smart Search Features
• Autocomplete & Spell Check
• Live Search (As You Type)
• Embedded Search History
• Instant item and category recommendations
• Search result reranking based on personal relevance
SMART SEARCH
Discover items as you type. E.g. “U-P-I-N”
LIVE SEARCH (As You Type)
INSTANT ITEM RECOMMENDATION
Copyright © 2016 by Gravity R&D Zrt. All rights reserved.
Retargeting
Bob searches for
phones, but leaves
without making a
purchase.
Bob views an ad on
a 3rd party site that
reminds him of his
previous search.
Bob clicks on the ad,
and decides he’s now
ready to make a
purchase.
How does Retargeting work?Re-engaging high-intent prospects with personalized ads
Analyze Behavior Retarget Convert
Copyright © 2016 by Gravity R&D Zrt. All rights reserved.
Application of technology
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Types of Websites
Confidential - strictly forbidden to distribute without the written consent of Gravity R&D 11/30/2016
Virtually any kind of website and help users find new content that is relevant to
their interests – from music and events to products and dating profiles.
Technology
• Performance: Gravity’s performance
oriented architecture enables real-time
response to the always changing
environment and user behavior
• Algorithms: more than 100 different
recommendation algorithm enables true
personalization and to reach the highest
KPIs in different domains
• Infrastructure: fast response times all
around the globe and data security thanks
to the private cloud infrastructure located
in 4 different data centers
• Flexibility: the advanced business rule
engine with intuitive user interface allows
to satisfy various business requirements
Performance
140M requests served daily
Algorithms
30 man-years invested
Infrastructure
4 data centers globally
Flexibility
100s of logics configurable
Example Integration process
Timeframe: 2-4 weeks, support and integration work
A usual integration consists the following steps, but after we finalize the
scope and the business requirements for the projects we are preparing a
customized integration guide with step by step introduction to our client:
1. Generate item catalog (XML or TSV) and refresh it periodically (daily).
The item catalog format and content is described in the integration guide (we
mutually agree on it with the customer).
2. (optional). Real-time item catalog updates (Java, PHP or REST API)
3. Set up Behavior Tracking (real-time events)
4. (optional) User catalog integration
5. Integrate recommendations
Testimonials
Improving the user experience is one of our most important missions, and that’s
exactly why we chose Gravity. Their team produced instantly visible results, both in
the number of clicks and the amount of watched videos.
Sylvain Brosset, Research & Development Director, Dailymotion
After developing an in-house solution, we decided to test it against outside vendors.
We chose Gravity based on their capabilities, performance and flexibility we
experienced during the pilot. We are now in the process of extending Gravity beyond
the website, on other platforms and in new widgets.
Dominik Ryżko, Chief Data Scientist, Allegro
Gravity's recommendation engine strongly supports our mission: empowering
people in their daily lives. Recommendations don't just follow their earlier taste, but
adapt to the actual stage of their lifecycle and help them discover new, potentially
useful content, be it products, jobs, service offerings and the like.
Zoltan Peresztegi, VP of Innovations, Schibsted Classified Media Group
Contact
Email: [email protected]
Web: www.gravityrd.com
F: facebook.com/gravityrd
Blog: blog.gravityrd.com