introduction
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A brief introductionTRANSCRIPT
The Personalization Machine
Driving revenue through personalized user engagement
PERSONALIZATION PLATFORM PROVIDEROne 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
WHO WE ARE
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
GRAVITY AROUND THE CLOCK - CUSTOMERS
BY BUSINESS LINES
HolidaysTravel
Daily Deal
Classified Media
Dating
OTT Video on Demand
E-commerce
Mobile Marketing
IPTV
Retail
Music
Auction and Online
Market Place
Gravity SW
integrated
with
B2B customer
infrastructure
Media
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%
The Challenge
1000s of products, 100s of different visitor dreams, but only one screen.
Millions of products, thousands of visitor dreams but only one screen…
What if…
You could predict each of your visitor’s intention and behavior?
Personalized User Journeys - Understand your users and exploit the potential in BIG DATA
• Predicting not just the primary, but the secondary, tertiary, etc. interests
• Apart from history and behavior, focusing on the current context
Based on Interest Seasonality
Purchases Holidays
Searches Continuous
Devices used Working hours
Last activity peak Every year
COLLABORATIVE
FILTERING
CONTENT-BASED
FILTERING
CONTEXT
AWARENESSSOCIAL
RECOMMENDATIONS
C2C CLASSIFIEDS
Business objective:
Improve general sales-related
Key Performance Indicators
(KPIs)
KPIIncrease of
KPITesting 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.
Norwegian media conglomerate, has operations in 29 countries.
2 400 million USD revenues in 2012, 25% came from classifieds.
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.
0%
5%
10%
15%
20%
With RECO
Using in-house solution
1st month 2nd month
CTR evolution compared to the inhouse solution
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
KPIIncrease of
KPITesting 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
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
KPIIncrease of
KPITesting method
Banner conversion 5%
Compared to other vendor, in-house development
Bid value 6%
Number of bids 110%
Results:
E-COMMERCE
Business objective:
Improve general sales-related
Key Performance indicators
(KPIs)
KPIIncrease of
KPITesting 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.
E-COMMERCE
Business objective:
Improve general sales-related
Key Performance indicators
(KPIs)
Improve the shopping
experience
KPIIncrease of
KPITesting 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.
1st week0%
50%
100%
150%
200%
250%
% - 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
CTR increase by Gravity
3rd week
ONLINE DATING
Business objective:
Improve the discovery, increase
the conversion of “Personal
tips” box
KPIIncrease of
KPITesting method
Banner clicks 143% A/B (in-house solution)
Number ofconversations
250% A/B (in-house solution)
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.
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
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
KPIIncrease of
KPITesting 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:
TOOLS TO MONETIZE THE VISITOR LIFECYCLE
Unlimited number of custom landing pages generated real time and automatically (PPC and Adwords automatization tool)
Re-engage and convert high-intent prospects with personalized banners on sites you advertise on
Outlined tools
Recommend the most interesting content to your users
PersonalizedRecommendation
Send personalized newsletters, transactional emails and email alerts
Newsletter Personalization
Personalized Retargeting
Rank search results based on personalinterest, predictive search
Smart Search
Dynamic Landing Page
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”
JAVASCRIPT INTEGRATION
SERVER-SIDE INTEGRATION
KEY RECO FEATURES
Control Panel
Control Panel
Gravity Analytics
Thank you!
www.gravityrd.com
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