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: sales@gravityrd.com

Web: www.gravityrd.com

F: facebook.com/gravityrd

Blog: blog.gravityrd.com