Image credit: Brand Synario
“OTT & streaming media companies are losing billions of $s from password
sharing” [1]
As Yahoo Finance notes: “Freeloading
off other people deprives Netflix of at least $2.3 billion in revenue
each year... and that number is bound to go up after the largest
price hike in the company’s 12-year history” [2]. Moreover, last
year, Hulu lost around $1.5 billion [1], and the non-stop momentum of
the 'Freeloading Factor' also impacts other streaming media
companies.
"Parks
Associates predicts that $9.9 billion of Pay-TV revenues & $1.2
billion of OTT media services revenues will be lost in 2021 due to
credentials sharing" [3]
Taking Action
Platforms need to have a robust
strategy in place in order to address this very serious issue. OONA Global TV, the highly successful up-and-coming Virtual MVPD
(multi-channel video programming distributor), and a major player in
the disruption of the television industry, is currently set up to
provide its cutting-edge AVOD and SVOD services to 185 million
Indonesians, and is on course to provide the same to the US this
autumn, with other parts of Asia, Africa, South America, the Middle
East and Europe, following suit at a later date. OONA's strategy
towards preventing password sharing and driving revenue retention,
means following the latest innovative methods concerning IP
decisioning data and analytics, while simultaneously balancing out
both the customer experience and content licensing mandates by using state-of-the-art AI software and appropriate IP (internet protocol) decisioning data and tools.
Cracking Down
When it comes to trying to pinpoint who
the freeloaders actually are, detecting suspicious activity is the
name of the game. - Yet OONA understands extremely well that
streaming platforms have to tread cautiously when it comes to:
“effective enforcement within constraints that are often set by
external entities” [1].
If for example, a streaming company takes instant action, and blocks suspicious users before it receives verification of the consumers' identity and location, the fall out could be most unwelcome. For instance: “An authorized user trying to sign in from an atypical location or network might react with concern—and make a costly call to customer service [which could take a long time, and interrupt what they were doing]. Or worse, these frustrated users could take their business elsewhere” [1].
Image credit: Channel Pro
Login Intelligence Data
If for example, a streaming company takes instant action, and blocks suspicious users before it receives verification of the consumers' identity and location, the fall out could be most unwelcome. For instance: “An authorized user trying to sign in from an atypical location or network might react with concern—and make a costly call to customer service [which could take a long time, and interrupt what they were doing]. Or worse, these frustrated users could take their business elsewhere” [1].
Image credit: Channel Pro
Login Intelligence Data
Gaining an oversight into strategic login begins with collecting information on consumers' IP geolocation. “This data connects a user’s IP address with associated geographic location information: where they are logging in, how they are connecting to the internet... whether the IP address is originating from a hosting facility or a residential location, etc.” [1]. This in turn enables streaming companies such as OONA TV, to establish its company's regulations on criteria for suspicious behaviour, and permitting access [1]. Clearly, attaining the strongest possible IP geolocation data is crucial. - It empowers streaming providers so they can locate users with precision, and pinpoints any logins done from other locations, which could potentially mean password compromise [1].
Image credit: RT
Dealing With Anonymous
Users
As a percentage of users consume
content via a proxy server or VPN, the difficulty is more complex.
This is because these viewing methods hide the users'
original/assigned IP address, and as such, enables them to log in and
not be unidentified. And although this form of access is a 100%
legal, the rub is that whenever someone masks their location in this
way, for the purpose of circumventing geographic boundaries, they
could well be in violation of the streaming platform's content
viewing restrictions or terms of service, in which case, viewing this
way will not be allowed. So in a nutshell, masking makes the
detection of password sharing an almighty task. - If the streaming
platform is not able to pinpoint the users' exact login location, it
makes it hard for them to recognise fraudulent logins carried out at
alternative regions [1].
Monitoring “Typical”
User Behaviour
The use of Proxy servers and IP
addresses are all part and parcel of users' profiles, and as such,
contribute to subscribers' typical activity and digital history. And
although users' histories are always in a state of flux, [when
streaming platforms follow OONA's strategy] of determining a baseline
or geo-footprint for users' “normal” behaviour, then it enables
their security department to flag anomalies which could potentially
imply password sharing [1]. For example, when a subscriber who is
resident in NYC unexpectedly signs in from London.
Image credit: The Independent
Velocity Checking
Image credit: The Independent
Velocity Checking
Another means [OONA TV uses] for
picking up atypical activity, is applying a velocity check. This
process, which is often utilised by fraud prevention platforms, flags
changes in a user’s login location, if they take place within an
unrealistic timespan [1]. - For instance, if an OONA subscriber
based in NYC logs in from there at 7 in the morning, and then logs in
again at 10 that same morning, from London, unless Richard Branson or
Overture have come up with a next generation supersonic version of
Concord, which can fly far faster than twice the the speed of light,
it is likely that this subscriber would get red flagged for further
investigation.
Exercising Caution
Top
global information services provider, Neustar's
excellent white paper on cracking down in password sharing, makes the
very important point that it is far less costly, and less difficult
to keep a subscriber than take on a new one. To that end: "OTT
content providers need to be cautious about “blanket blocks” of
all suspicious password-sharing activity. Legitimate subscribers
don’t want to see “access denied” when logging in for a
long-anticipated game, show, or movie. And they certainly don’t
want to feel like their OTT or streaming media content provider is
scolding them or accusing them of prohibited activity" [1].
Christophe Hochart, on screen & second left
Christophe Hochart
Digital leader, AI expert, and government and telcoms advisor, Christophe Hochart, the CEO and Founder of OONA Global TV, who is well known for his anti-piracy drive, stated that: "In order to tackle this dilemma which is costing the industry billions of dollars, it is essential to have a cutting-edge AI system in place so that subscribers' account activity can be analysed through ML (machine learning). Specific software is able to detect any out of the ordinary activity on a user's OONA account, for example, when it is being used in multiple locations at the same time."
Christophe Hochart
Digital leader, AI expert, and government and telcoms advisor, Christophe Hochart, the CEO and Founder of OONA Global TV, who is well known for his anti-piracy drive, stated that: "In order to tackle this dilemma which is costing the industry billions of dollars, it is essential to have a cutting-edge AI system in place so that subscribers' account activity can be analysed through ML (machine learning). Specific software is able to detect any out of the ordinary activity on a user's OONA account, for example, when it is being used in multiple locations at the same time."
References
[1]. Streaming Media (2019). “Cracking
Down on Password Sharing? IP Intelligence and Human Insight Can
Help.”
https://www.streamingmedia.com/PDF/e9db4ac1-02c5-4754-b59e-38673ccab596.pdf?i=ff943b72-e9a9-4057-b77d-a4795a29dd70 Accessed 26 July, 2019.
[2]. Swaminathan, Aarthi (2019).
“Password sharing costs Netflix billions — and that's before the
price increase.” Yahoo Finance.
https://finance.yahoo.com/news/password-sharing-costs-netflix-billions-thats-price-increase-160028395.html Accessed 26 July, 2019.
[3]. Kalam, Kayenat (2019). “Netflix
Password Sharing: Crackdown Begins!” Brand Synario.
https://www.brandsynario.com/netflix-password-sharing-crackdown-begins/ Accessed 26 July, 2019.
Such a nice blog Thanks for sharing information Hulu forgot password.
ReplyDelete