The document describes The Personalization Machine, a leading provider of personalized user engagement platforms. It details their scientific achievements in machine learning and data mining competitions. It then provides several case studies of customers in industries like video streaming, auctions, dating, and consumer goods who improved key metrics like click-through rates and revenues by 7-25% using The Personalization Machine's recommendations. The document outlines the company's recommendation and personalization tools and technical integration options.

1. The Personalization
Machine
Driving revenue through
personalized user engagement

2. WHO WE ARE
PERSONALIZATION PLATFORM PROVIDER
One of the largest third-party provider in the world
AWARD-WINNING and WORLDWIDE PATENTED algorithms with
75-80 man-years of technical development behind
THOUGHT LEADERSHIP in the RecSys scientific community
TRACK RECORD in various industries

3. SCIENTIFIC ACHIEVEMENTS
Team members won several awards in competitions:
• Machine learning:
 Netflix Prize
 KDD Cup 2006
 Gomoku Open Tournament 2006
 GE flight quest 2013
• Text mining:
 i2b2 2008
 BioNLP 2009
 DDI Challenge 2011
• Programming:
 ITech Challenge 2006
 ch24.org
• Mathematics: Int. Mathematics Competition 2001
• 13 student-recognitions
Conferences:
• Co-organization of international competitions (KDD Cup 2007, Recsys Challenge 2012)
• Invited membership at the Netflix Prize Panel (2009), Context-awareness in industry panel
(2012)
• ACM Recsys 2012 best paper award honourable mention
• Tutorial at ACM Recsys 2012 on the evaluation of recommending systems

4. GRAVITY AROUND THE CLOCK - CUSTOMERS
BY BUSINESS LINES
Holidays
Travel
Classified Media
Daily Deal
OTT Video on Demand
Dating
E-commerce
Mobile
Marketing
IPTV
Retail
Music
Auction and
Online
Market Place
Gravity SW
integrated
with
B2B customer
infrastructure
Media

5. FEATURED REFERENCES
The largest online classifieds
sites worldwide
#1 WW Video Chat, 2% of
WW internet traffic, Alexa<50
One of the leading video-sharing
site worldwide
NASDAQ listed mobile
marketing company
Increased page views, time spent on
site, contact requests by up to 125%
Extremely massive traffic served, in
peak time 6000 recommendations to
deliver per second
Increased ad revenues and user
satisfaction up to 25% in 5 countries
Increased response in SMS gaming
by 7%

6. The Challenge
Millions of products, thousands of visitor dreams but only one
screen…
1000s of products, 100s of different visitor dreams, but only one screen.

7. What if…
You could predict each of your visitor’s intention and
behavior?

8. Personalized User Journeys - Understand your
users and exploit the potential in BIG DATA
Based on Interest Seasonality
Purchases Holidays
Searches Continuous
Devices used Working hours
Last activity peak Every year
• Predicting not just the primary, but the secondary, tertiary, etc. interests
• Apart from history and behavior, focusing on the current context

10. COLLABORATIVE
FILTERING
CONTENT-BASED
FILTERING
CONTEXT
AWARENESS
SOCIAL
RECOMMENDATIONS

11. C2C CLASSIFIEDS
Business objective:
 Improve general sales-related
Key Performance Indicators
(KPIs)
Norwegian media conglomerate,
has operations in 29 countries.
2 400 million USD revenues in
2012, 25% came from classifieds.
KPI
Increase of
KPI
Testing method
Ad detail page views 125% A/B (in-house solution)
Total page views 4% A/B (in-house solution)
CTR 368%
A/B (in-house solution, random
placement)
Time spent on site 3%
A/B (in-house solution, random
placement)
Results:
Schibsted Hungary and Gravity R&D were the 2012 Show me the Money
Award winners for their Dynamic Personalization Innovation.

12. CONTENT RECOMMENDATION
Business objective:
 Improve the click through
rate (CTR)
KPI CTR
Increas
e of KPI
On average
50%
Testing
method
A/B (in-house
solution)
Results:
The media group’s portal portfolio
covers the 77% of the Hungarian
internet users. Origo is the leading
news portal in Hungary.
20%
15%
10%
5%
0%
CTR evolution compared to the inhouse solution
With RECO
Using in-house solution
1st month 2nd month

13. VIDEO STREAMING
Business objective:
 Increase ad revenue by increasing page
impression (PI)
 Increase click through rate (CTR) of
recommended content
 Increase user satisfaction (measured by
long term CTR)
 Increase average video watch length
One of the leading sites
for sharing videos,
attracts over 112 million
unique monthly visitors
and 2,5 billion videos
views worldwide.
Offers 35 localized
versions in 18 different
languages
KPI
Increase of
KPI
Testing method
CTR 12-22%
Compared to other vendor, in-house
development
Long term CTR 6-17%
Number of PIs 6-25%
Results:
* measured in 5 countries: France, Japan, USA, Germany, UK – minimum
and maximum increase values are shown

14. AUCTION PORTALS
Business objective:
 Faster search & discovery by
recommendations
 Increase the bid value of goods
 Facilitate the discovery of goods
E-commerce leader in
Central and Eastern
Europe, a group of
companies managing
75 sites in over 20
countries
KPI
Increase of
KPI
Testing method
Banner conversion 5%
Compared to other vendor, in-house
development
Bid value 6%
Number of bids 110%
Results:

15. E-COMMERCE
Business objective:
 Improve general sales-related
Key Performance indicators
(KPIs)
KPI
Increase of
KPI
Testing method
Revenue coming
through RECO
7% A/B (in-house solution)
Item page CTR 7% A/B (in-house solution)
Results:
E-commerce leader in
Central and Eastern
Europe, a group of
companies managing 75
sites in over 20 countries.

16. E-COMMERCE
Business objective:
 Improve general sales-related
Key Performance indicators
(KPIs)
 Improve the shopping
experience
KPI
Increase of
KPI
Testing method
increase in banner
conversion rates
400% A/B (in-house solution)
banner click-to-purchase
conversion
rate
11,5% A/B (in-house solution)
purchases made
through RECO
5% A/B (in-house solution)
Results:
Libri is a Superbrand
award-winning online
and retail bookstore with
more than half a million
registered users and 43
retail locations across
Hungary.

17. CTR increase by Gravity
1st week
250%
200%
150%
100%
50%
0%
% - daily moving average
AD TARGETING
Business objective:
 Improve the click through rate
 30+ million ads served daily
 Creative targeting in 2 zones of a
hub site
KPI CTR
Increase
of KPI
On average
110%
Testing
method
A/B (in-house
solution)
Results:
Hungarian market leader
in online marketing
technologies.
Provides 16 billions of ads
on a monthly average.
2nd week
3rd week

18. ONLINE DATING
Business objective:
 Improve the discovery, increase
the conversion of “Personal
tips” box
KPI
Increase of
KPI
Testing method
Banner clicks 143% A/B (in-house solution)
Number of
250% A/B (in-house solution)
conversations
Upsell to premium
subscription
26% A/B (in-house solution)
Results:
Randivonal.hu is Hungary’s
leading online dating portal
with 1.000.000+ registered
users (freemium model) and
800.000 daily page views.

19. DATA MINING ENGAGEMENTS
 Scope: SMS sending time optimization
 Objective: increase the number answers from users
 Approaches and achievements:
 Question recommendation: +7% increase
 SMS - sending time recommendation: +5% (heavy users)
 Scope: product placement suggestions
 Objective: data analysis for agent support
 Achievements:
 Identification of similar shops and products
 Replacement suggestions for out-of-stock
 Scope: large scale data analysis of shoppers
 Objective: predict purchases in different categories
 Context-awareness: geo-location, basket content, weather
 Potentially lead to implementation of Gravity on Tesco.com

20. CONSUMER GOODS
Business objective:
 Improve P&G’s in-house store clustering
process
 Provide store recommendations for agents
at store level instead of channel level
 Increase revenue through recommendations
 Field test now in India (2014Q2), next in
China (2014Q3-4)
One of the world’s largest supplier of
consumer goods
KPI
Increase of
KPI
Testing method
Ratio of purchased
recommended goods
5–7 % Only new products can be
recommended for a store (no
replenishment)
This means extra revenue
Revenue ratio of
recommended goods
6-8%
Results:

21. TOOLS TO MONETIZE THE VISITOR LIFECYCLE

22. Re-engage and convert high-intent
prospects with personalized banners on
sites you advertise on
Unlimited number of custom landing pages
generated real time and automatically (PPC
and Adwords automatization tool)
Outlined tools
Recommend the most interesting
content to your users
Personalized
Recommendation
Send personalized newsletters,
transactional emails and email alerts
Personalized
Retargeting
Newsletter
Personalization
Rank search results based on personal
interest, predictive search
Smart Search
Dynamic
Landing Page

23. Tech details
Everything about the integration process:
https://developers.gravityrd.com/display/DEV/Integration+Overview
Two major integration options:
- server side
- client side
SaaS Based Solution: “Gravity solves everything for a monthly fee”
Appliance/Hosted Solution: “Gravity provides license, training,
integration and support”. Customers with Security, policy, political, geographical
issues which prevent them to subscribe for a SaaS service
Hybrid Solution: “Those special customers who need more”

24. JAVASCRIPT INTEGRATION

25. SERVER-SIDE INTEGRATION

26. KEY RECO FEATURES

27. Control Panel

28. Control Panel

29. Gravity Analytics

30. Thank you!
Contact us:
www.gravityrd.com
sales@gravityrd.com
For the latest trends and insights:
www.facebook.com/gravityrd