We help companies that put their customers first, to transform their digital model into a user-centric business and manage audience buying independently.
2. During the last few years, large corporations, that have their strength in their relationship with their clients, have been defeated by OTTs
that knew how to take advantage of the failure to comply with digital transformation of such corporations. For this reason they rapidly
become leader of a large data-driven market. Nevertheless, no one know life personal data as much as like large retails, banks and
financial services corporations.
RULING WHERE DIGITAL TRANSFORMATION FAILED
3. MYNTELLIGENCE VISION
Myntelligence helps large multi-national corporations to be again the owner of users’ in the digital space, transform their model into a
compelling digital business, become independent from OTTs and compete with them.
4. 10:30 12:30 14:30
User 2User 1 User 3
Unique
User
Cookie Tracking
Users seems to be
multiple and different.
Fingerprint Tracking
Actual User is
identified.
Why Cookie-based analysis
is not reliable
The most tangible impact is on unique reach and frequency calculations. Real reach is vastly overstated, while real average frequency is
widely understated. The consequence of this is that no behavioral analysis can make any sense on a cookie-based poll of users.
The process of capturing data in the online industry happens through cookies. The paradox is that cookies decay very rapidly and are
not useful for users analysis. However, cookies are the standard transaction currency across ad exchanges, were most of the ad buying
transaction occurs. Google owns the largest ad exchange in the world.
OTT AND THE PARADOX OF DATA DECAY
5. *extract of an article on Ad Age written by (http://www.clickz.com/clickz/column/2199669/cookie-deletion-and-upperfunnel-targeting)
Research
There is a constant of 10 sessions per browser per day. 10
Whenever a cookie is removed from a browser a new one is set. 100
10% of Browsers remove cookies every sessions. 10
10% of Browsers remove cookies every day. 10
Assumptions
Assuming we have 100 Browsers at Time 0. 100
Assumiing that every Browser have 100 Cookies. 100
Cookies at Time 0 10.000
Results at the end of the day
Cookies Deleted due to end-of session deletion 10.000
Cookies Deleted due to every day deletion habits 1.000
New Cookies Created for every new session 10.000
Cookies that never got deleted 8.000
Total n. Cookies 18.000
“The half-life of an average third-party cookie is about three days, and one-third of all cookies last less than an hour.” Jag Duggal, vice
president of product management at Quantcast*.
COOKIE DELETION RATE ANALYSIS
Persistent Cookie Rate
Cookie Deletion Rate
44%
61%
The most tangible impact is on unique reach and frequency calculations. Real reach is vastly overstated, while real average frequency is
widely understated. The consequence of this is that no behavioral analysis can make any sense on a cookie-based poll of users.
6. COOKIE-LESS TECHNOLOGY
Myntelligence collects much more parameters than what is usually possible. The assimilation of such information into a single string
comprises a device identification. By not tracking users Personal Identifiable Information (PII), Myntelligence solution is a completely
safe and effective method of targeting users whilst respecting all privacy regulations.
Also mobile and tablet
SERVER
STRNG
IOS
AR
PT
COL
VE
Z
TLS
A
…
Unique Users ID 12XC385
CAPABILITIES
CLASS PROPERTY
OS
Pixel Aspect Ratio
Player Type
Screen Color
Video Encoder
Version
hasTLS
hasAudio
…
CAPABILITIES
CLASS PROPERTY
OS
Pixel Aspect Ratio
Player Type
Screen Color
Video Encoder
Version
hasTLS
hasAudio
…
SERVER
STRNG
IOS
AR
PT
BN
VE
V
TLS
A
…
Unique Users ID 12XC382
IOS IOS
Unique Users ID 12XC385 Unique Users ID 12XC382
COL BN
Unique Users ID 12XC379
CAPABILITIES
CLASS PROPERTY
OS
Pixel Aspect Ratio
Player Type
Screen Color
Video Encoder
Version
hasTLS
hasAudio
…
SERVER
STRNG
WIN
AR
PT
COL
VE
V
TLS
A
…
Unique Users ID 12XC379
WIN
COL
V VZ
7. THE MARKET
OTTs, are bridging together data from the online publishers market and online advertisers. The approach is to group and categorize
consumers data for marketers' online ad targeting efforts. Programmatic ads are then sold and targeted based on these profiles.
PUBLISHER ADVERTISERS
AD EXCHANGES
SSP DSP
DATA MARKET
AUDIENCE
8. DATA SELLERS
(often OTTs)
DATA BUYERS
Trading Desks or Advertisers
Today the market is divided by those who do not own data but sell them to those who owns data but don’t know how to use them.
HOW THE INDUSTRY IS DIVIDED
Data sellers generate revenues by leveraging other
companies’ data and make billions of revenues.
1. They track users when they visit publisher and
advertisers sites.
2. They sell data back to the same companies.
3. They leverage data decay so that companies need to
constantly buy data from them.
They own client data but do not know how to use them.
They spend a huge amount on money to buy data.
1. They are sit on a golden mine of unused data assets
and they don’t know.
2. They often have the authorization from the users to
use their data.
3. They buy data constantly, which could be also their
own data, from data sellers.
9. Collected data are then sold back to
the same advertisers when they want
to buy programmatically with third
party data.
OTTs has been recently through acquisition or development of proprietary RTB platforms.
HOW OTT ARE COLLECTING YOUR DATA
Advertisers invest in Programmatic
buying. To do so, they need to access
to the RTB ecosystem through
platforms.
OTT owns the most used Exchanges,
DSPs and SSPs and thanks to
Advertisers’ Ad placements, collect
users data
ADVERTISER PUBLISHER
AD EXCHANGES
10. DATA LONGEVITY
Fingerprinting technology has a longer life-cycle it ensures
much more data points for an accurate profile qualification.
DATA OWNERSHIP
Myntelligence brings users data back to Advertisers
and allows to become completely autonomous when
buying advertising.
MYNTELLIGENCE TWO PILLARS
Owned
Media
Paid
Media
Earnerd
Media
TIMELINE 1 year 2 years
2
months
30
months
CRM
11. MYNTELLIGENCE ENABLING BIG DATA STRATEGY
CLIENT BIG DATA
how are my digital properties being used? WEB ANALYTICS
DSP SERVICES
DATA DISCOVERY
CRM ENRICHMENT
AUDIENCE ANALYTICS
How do I optimize campaign ROI?
How do my client looks like?
What my client interest are?
50%
3.242
126K
36%
34K
1.589
CLIENT NEEDS
How can I improve the cross-selling strategy?
BIG DATA DO NOT MEAN ANYTHING - PER SE. OUR CLIENT HAVE CONCRETE NEEDS AND WE HELP THEM TO GET WHAT
THEY NEED OUT OF THE BIG DATA ECOSYSTEM THAT THEY HAVE
CLIENT NEEDS
How can I optimize customer journey?
How can I create new prospect segments to
optimize my campaign?
BRAND INTELLIGENCE
SEGMENT ANALYTICS
12. We stand to the side of those companies that own the client relationship such as banks, telco, merchants, retailers and we help them to
transform their model into a compelling digital business, become independent from OTTs and compete with them.
MYNTELLIGENCE POSITIONING
PUBLISHER ADVERTISERS
AD EXCHANGES
SSP DSP
DATA MARKET
AUDIENCE
DMP DMP
13. Owned
Media
Paid
Media
Data Ownership - Myntelligence brings your users data back to you and allows you to become completely autonomous when buying
advertising. Data Intelligence solution allows you to collect a variety of data, understand your audience and create specific user
segments for use when buying an online campaign.
AN END TO END SOLUTION
Earnerd
Media
Unique Audience
Analysis
Segmentation and
Data Activation
Audience Buying
Analytics DMP DSPTracking
14. Integrating with our clients’s CRM enables Myntelligence to target 180 time more precisely than any Audience Rating
companies.
The Italian proof of concept
THE POWER OF SHARED DATA
Myntelligence collects different sets of data and analyse them in a structured way. Statistical lookalike algorithm and machine learning
softwares helps to create the most accurate targeting features with more than 14 Mio qualified users.
ITALIAN
POPULATION
63 MLN
WEB
POPULATION
27.5 MLN
QUALIFIED USERS
14 MLN
IDENTIFIED USERS
23 MLN
HIGHLY
QUALIFIED
8 MLN
PANEL
1.2 MLN
7 MLN
BANK ONLINE
CRM DATA
40 K
AUDIENCE RATING
AVERAGE PANEL
15. CAPITALISE ON USERS DATA
We ensure that our client can capitalise on data in many ways.
1. Thanks to the cookie-less technology. they can move ad costs into a capital expenditure
2. They can monetise their data assets by selling these to other companies that need them.
3. If they have commercial cliente they can become media agencies and manage other companies’ advertising investment and buy
targeted audience for them.
CAPEX MONETIZE
DATA ASSET
16. NAME
John
Last Name
Bleur
Client Account
73341786
Service purchased
Service A
CLIENT CRM
Age and Gender
Male 35-45
Vertical Preference
Sport and Luury
Purchase Intent
Home, Travel, Car
Income
High
SHARED DATA
Customer data are combined with socio - demographic profiling data and associated user when browse online
This process takes is possible through fingerprinting technology, which identifies the device and analyzes its navigation.
Through intensive collection of information, Myntelligence is capable to deliver advertising only to group of profiled and targeted users
for re-targeting and prospecting campaigns.
A SHARED DATA BASE
ENRICHED SEGMENTS
CRM
LOOKALIKES
17. YOUR CUSTOMER JOURNEY
Marta, a 35 years old
woman that lives in Rome,
makes a log-in in her
online banking account.
Marta’s device unique ID
is generated by
Myntelligence tracking
technology.
Data is also integrated
towards the CRM of the
bank for further analysis.
DMP
Marta’s purchase intent is
captured by Myntelligence
tracker on millions of ads
displayed on different
websites.
Marta go back to her
bank website for a
transaction and the
home page provide
her a new loan
offering.
CRM
when she start
browsing again the
web she will see the
right loan offering
advertisement.
Marta continues to surf
the web looking for sites
that can help her to find a
house in Rome that she
desires.
UPSELL & CROSS SELL
CAMPAIGN TARGETING
18. PRIVATE DATA MARKETPLACE
MYNTELLIGENCE MARKETPLACE
DATA MARKETPLACE IN-HOUSE TRADING DESK
Each client can manage their own deals with Media. By using
this feature Companies can start selling advertising to their own
commercial clients.
Our Clients can publish their segment on Myntelligence Data
Marketplace and make them available for exchange or
purchase by other clients.
ADVERTISER
PMP DEALS
PUBLISHERADVERTISER ADVERTISER ADVERTISER
ADVERTISER ADVERTISERADVERTISER
PUBLISHERPUBLISHER
19. Myntelligence collaborates with System Integrators such as Accenture, KPMG, Reply and with Media Agencies when integrating with
clients process and ecosystems.
INDUSTRY COLLABORATION
CRM
Integration
.System
Integrators
Segment
Strategy &
Know-How
Media
Agency
Media Buying
Strategy
Media
Agency
Tracking
Analytics
Intelligence
SaaS
20. This simple operation makes possible to integrate with clients data and start profiling users for further segmentation.
WEBSITE SOCIAL NETWORKS ADV
SEGMENT 1
SEGMENT 2
Integration with client CRM is required to "connect" a browsing user to a client and analyse its socio-demographic profile (gender and
age) of their typical customer. Client PII (personal identifiable Information) are not required.
SEAMLESS INTEGRATION
CRM
MOBILE
21. MYNTELLIGENCE META DSP INTEGRATION PLAN
SSP LAYER MEDIAAD
EXCHANGES
DSP LAYER
PUBMATIC
RUBICON
DFPGoogle ADEX
AppNexus ADEX
DBM
FB ADEX
AdForm
AppNexus DSP AppNexus SSP
Google AdWords
MELT
OTHER SSP
META DSP
MAIL CHIMP
MYN BIDDER
Done
To Do
DMP
22. Using the fingerprinting
technology, Myntelligence
application identifies “John
Doe” as a unique user.
He is given the
fingerprint ID “F01”.
FINGERPRINT UID AND DMP/DSP/SSP SYNCHING
User Syncing is carried out with
a 3rd party DMP to obtain DMP
UID (user ID).
DMP User ID, “MUID1” is sent to
the Myntelligence application
from the DMP.
The DMP UID is saved.
DMP is constantly synch with
DSP Users IDs. so that “MUID1”
will be equivalent to “DUID1”.
Equally DSPs are constantly
synch with SSPs Users IDs. so
that “DUID1” will have an
equivalent “SUID1”.
John Doe
User Redirect
DMP UID
Myntelligence
Application DMP DSP SSP
DMP DSP SSP
The user ‘clears’
the browser
cache and deletes
the cookies.
Using the fingerprinting
technology, Myntelligence
application identifies
“John Doe” as a
previously identified user.
His fingerprint ID
is identified as “F01”.
User Syncing is
reprocessed to
capture the most
recent DMP ID.
DMP User ID, “DUID2” is sent to
the Myntelligence application
from the DMP.
DMP has categorised the user
as a new user.
Myntelligence application will
update the identity of the user
“John Doe” as,
Fingerprint UID: F01
DMP UID: DUID2
Time: T1
Time: T2 T1<T2
Myntelligence
application will
deliver a campaign
on John Doe
leveraging DMP/
DSP/SSP user synch
1 2 3 4 5
6 7 8 9 10 11
“John Doe” is identified as
Fingerprint UID: F01
DMP UID: DUID1
“John Doe” is identified as
Fingerprint UID: F01
DMP UID: DUID2
User Redirect
DMP UID
“Synch between MUID1 and
DUID1
“Synch between DUID1 and
SUID1
“Synch between MUID2 and
DUID2
“Synch between DUID2 and
SUID2
23. A reliable and scalable solution with the most advanced technological resources available today.
SCALABLE ARCHITECTURE
AWS S3
MYNTELLIGENCE
24. KEY ADVANTAGES
Thanks to fingerprint technology, ad dispersion
on the target is minimized. 85% of "in target"
performance.
With Myntelligence, the investment in
advertising becomes a Capital
Expenditure (Capex) increasing
company EBITDA.
COST
OPTIMIZATION
EFFECTIVE
TARGETING
CAPEX
INVESTMENT
INTEGRATED
SUITE
EASY TO
USE
An integrated suite with one single access to
data segmentation, normalization and
activation. An unique identifier for client
audience
Targeting performance allows up to
40% of savings on digital ad spend.
Buying media on your own will
reduce agency costs and could
access to most convenient prices.
An easy to use platform for all
Marketers. One Single Point of
Contact across all media
buying cycle
25. KEY DIFFERENTIATORS
Pure DMP DSPs
Cookie-less
Technology
Web
Analytics
Trading
Desk
Data
Marketplace
Full-Stack
Suite
DMP
DSP
Cookie-less
Technology
Web
Analytics
Trading
Desk
Data
Marketplace
Full-Stack
Suite
DMP
DSP
Cookie-less
Technology
Web
Analytics
Trading
Desk
Data
Marketplace
Full-Stack
Suite
DMP
DSP
DSP
Cookie-less
Technology
Trading
Desk
Full-Stack
Suite
Cookie-less
Technology
Web
Analytics
Trading
Desk
Full-Stack
Suite
26. WHITE LABEL TRADING DESK
Manage your buying through Myntelligence managed service full suited
solution and negotiate directly with media.
DATA MONETIZATION
Publish your segment on the Market Data and monetize them immediately only
to the companies you want.
CAMPAIGN CONVERSION REPORTING
Run campaigns against different segment and measure result of conversions
and audience reach.
DSP AND DMP PLATFORM
Study your audience and create segment to activate on the RTB market.
Retarget your users or discover new prospecting audience.
MEDIA ANALITICS
Analyze your touchpoint across owned, paid and earned media. Track
seamlessly your conversion point and analyze results.
OUR OFFERING