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Big Data,
Health Outcomes
& Marketing
Presented by Ben Wolin,
Co-Founder & CEO of Everyday Health
What is BIG DATA?
Big data is data sets
so large and
complex that they
can’t be processed
using traditional data
management tools.
How Big is
BIG?
In just TWO DAYS, we create as much data as
we did from the dawn of civilization through 2003!
-Eric Schmidt, chairman of Google
170M
Consumers
Go Online for
Health Info
Every Month…
…which equates to 36 BILLION health-related
interactions a year to capture and analyze.
500M
Health Searches
on Google
each month…
…or 56 BILLION per year!
340M
Prescriptions
per Month
That’s 4 Billion Rx
that are filled and
tracked annually.
500M
Health
Claims Filed
per Year
220B
Monthly Health
Interactions on
Mobile Devices
by 75M App Users
9out of10
Doctors
Interact
with Digital
Health Info
to stay on top of
medical news,
learn and make
critical decisions
If you stored all of this
data on iPads, they
would circle the Earth
12+ times!
But this blur of information
is useless if nothing is
done with it.
You need to step
back, make sense of
it all, then drive an
outcome or action.
Whether a pharmaceutical
manufacturer, an agency, a
health insurance company, a
publisher or a provider, we’re all
asking the same question:
How can we use data to
make people healthier?
It’s what you do
with the data
THAT MATTERS
Big Data to Drive
HEALTH OUTCOMES
Everyday Health is working hard to use data
to make a change. We want to know:
How can we predict disease outbreaks?
What will be the next health epidemic?
How can we make marketing more efficient and
effective?
How can we help people harness data to
improve their lives?
Data to MANAGE DIABETES
26 million Americans have diabetes
Welldoc’s FDA-approved mobile app helps
diabetics better manage the disease—it’s shown
a significant lift in adherence and improved
health outcomes
The app offers data-driven alerts and
coaching, integrating clinical analysis and trends
so users can stay adherent
Data is sent to healthcare providers for
better patient/doctor communication, called the
Automatic Expert Analytic System
Zydoc created a product that
can detect pre-diabetes
The system assesses data
from Ophthalmologist and
Retinal Specialty EMR
transcripts—this analysis
has identified 4 million
pre-diabetics that would
have previously gone
undetected
Data to PREVENT DIABETES
Rescue inhalers are often overused, which decreases
their efficacy over time
Propeller Health has created a sensor that attaches to the
top of the inhaler, tracking when and where it’s used
The data connects wirelessly to a mobile device,
where users can input attack-causing triggers
Users can assess the data with their healthcare
provider to better manage their disease—
resulting in fewer ER visits and
healthier patients
Data to MANAGE ASTHMA & COPD
Medicine adherence rates currently hover around 55%
Proteus is combining wearable sensors with ingestible
sensors embedded in medications
The sensor in the medication communicates with a
wearable patch to track heart rate, activity, rest,
and the exact time the medication was ingested
This allows us to know what the effect of the
medication was on some of a
patient’s critical functions
.
Data to MANAGE COMPLIANCE
Everyday Health created CORE, a new data tool to power
the 2B newsletters we send annually—it customizes
content based on user behavior
CORE goes through 400 billion comparisons a day, using
150 TB of data
We have increased the engagement rate by 75%
In the diabetes category this drove 2M additional
patient interactions/month
THIS RESULTS IN…
Data to
DRIVE HEALTH ENGAGEMENT
20%More
Adherence &
$2.3B
OF SAVINGS
Big Data For
MARKETING
AIR QUALITY DATA for Marketers
Many companies are tying
data and marketing together
in smart, innovative ways—
including The Weather
Channel
Weather.com aligns
marketing messages with
the current pollen count or UV Index
This data can be used to send a patient a coupon or
marketing message the exact day BEFORE the pollen
count sky rockets!
DATA TO INFLUENCE the Influencers
Pharma marketers have
long targeted Key Opinion
Leaders—influencers ranging
from doctors to consumers
Companies like Klout can
identify the most influential,
behavior driving consumers
across all categories
Influencing the influencers can be dynamic—why not
spend a disproportionate time on those who can have a
multiplier effect?!
PREDICTIVE MODELING
for Better Targeting
Everyday Health’s Health Reach uses
data and the power of predictive modeling
to extend a marketer’s reach of a specific
health audience across the web
We harness the power of predictive
analytics— registration info, content
consumption, visit history, time of day,
demographics, and shopper history— to define the ideal profile
and allow a marketer to reach them
We then focus the marketer’s display, mobile, and social tactics
to that specific audience to efficiently deliver a true 1:1
marketing initiative
Data To Prove
EFFICACY
With Great Data Comes
GREAT RESPONSIBILITY
To make the most of data – and really change
healthcare – we must also be responsible and
not abuse our power
Everyday Health’s
GUIDING PRINCIPLES
NOTICE: let users know what’s happening
CHOICE: let them opt out, if desired
THE GOLDEN RULE
What should
MARKETERS
DO?
It’s not hard to be a data-driven champion
of marketing - the principles are still the
same
Market to the right person, at the right
time, with the right message and then
prove that it works…data makes it better
or more exact
You just need to ask the right questions
to get the right data
No matter the initiative, you simply have
to ask:
CAN DATA MAKE IT BETTER?
Data Makes Marketing BETTER
It’s daily monitoring and constant adjustments based on data
It’s continuous, connected care
It’s making more informed decisions
and identifying risks before they happen
It’s personalized, patient-centric
marketing
It’s improving compliance through data
tracking and data-driven feedback
It’s closed loop measurement that
removes guesswork
IT’S ALL ABOUT THE DATA!
The FUTURE
THE
FUTURE
IS
NOW

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Big Data, Health Outcomes & Marketing by Ben Wolin

  • 1. Big Data, Health Outcomes & Marketing Presented by Ben Wolin, Co-Founder & CEO of Everyday Health
  • 2. What is BIG DATA? Big data is data sets so large and complex that they can’t be processed using traditional data management tools.
  • 3. How Big is BIG? In just TWO DAYS, we create as much data as we did from the dawn of civilization through 2003! -Eric Schmidt, chairman of Google
  • 4. 170M Consumers Go Online for Health Info Every Month… …which equates to 36 BILLION health-related interactions a year to capture and analyze.
  • 5. 500M Health Searches on Google each month… …or 56 BILLION per year!
  • 6. 340M Prescriptions per Month That’s 4 Billion Rx that are filled and tracked annually.
  • 9. 9out of10 Doctors Interact with Digital Health Info to stay on top of medical news, learn and make critical decisions
  • 10. If you stored all of this data on iPads, they would circle the Earth 12+ times! But this blur of information is useless if nothing is done with it. You need to step back, make sense of it all, then drive an outcome or action.
  • 11. Whether a pharmaceutical manufacturer, an agency, a health insurance company, a publisher or a provider, we’re all asking the same question: How can we use data to make people healthier? It’s what you do with the data THAT MATTERS
  • 12. Big Data to Drive HEALTH OUTCOMES Everyday Health is working hard to use data to make a change. We want to know: How can we predict disease outbreaks? What will be the next health epidemic? How can we make marketing more efficient and effective? How can we help people harness data to improve their lives?
  • 13. Data to MANAGE DIABETES 26 million Americans have diabetes Welldoc’s FDA-approved mobile app helps diabetics better manage the disease—it’s shown a significant lift in adherence and improved health outcomes The app offers data-driven alerts and coaching, integrating clinical analysis and trends so users can stay adherent Data is sent to healthcare providers for better patient/doctor communication, called the Automatic Expert Analytic System
  • 14. Zydoc created a product that can detect pre-diabetes The system assesses data from Ophthalmologist and Retinal Specialty EMR transcripts—this analysis has identified 4 million pre-diabetics that would have previously gone undetected Data to PREVENT DIABETES
  • 15. Rescue inhalers are often overused, which decreases their efficacy over time Propeller Health has created a sensor that attaches to the top of the inhaler, tracking when and where it’s used The data connects wirelessly to a mobile device, where users can input attack-causing triggers Users can assess the data with their healthcare provider to better manage their disease— resulting in fewer ER visits and healthier patients Data to MANAGE ASTHMA & COPD
  • 16. Medicine adherence rates currently hover around 55% Proteus is combining wearable sensors with ingestible sensors embedded in medications The sensor in the medication communicates with a wearable patch to track heart rate, activity, rest, and the exact time the medication was ingested This allows us to know what the effect of the medication was on some of a patient’s critical functions . Data to MANAGE COMPLIANCE
  • 17. Everyday Health created CORE, a new data tool to power the 2B newsletters we send annually—it customizes content based on user behavior CORE goes through 400 billion comparisons a day, using 150 TB of data We have increased the engagement rate by 75% In the diabetes category this drove 2M additional patient interactions/month THIS RESULTS IN… Data to DRIVE HEALTH ENGAGEMENT
  • 20. AIR QUALITY DATA for Marketers Many companies are tying data and marketing together in smart, innovative ways— including The Weather Channel Weather.com aligns marketing messages with the current pollen count or UV Index This data can be used to send a patient a coupon or marketing message the exact day BEFORE the pollen count sky rockets!
  • 21. DATA TO INFLUENCE the Influencers Pharma marketers have long targeted Key Opinion Leaders—influencers ranging from doctors to consumers Companies like Klout can identify the most influential, behavior driving consumers across all categories Influencing the influencers can be dynamic—why not spend a disproportionate time on those who can have a multiplier effect?!
  • 22. PREDICTIVE MODELING for Better Targeting Everyday Health’s Health Reach uses data and the power of predictive modeling to extend a marketer’s reach of a specific health audience across the web We harness the power of predictive analytics— registration info, content consumption, visit history, time of day, demographics, and shopper history— to define the ideal profile and allow a marketer to reach them We then focus the marketer’s display, mobile, and social tactics to that specific audience to efficiently deliver a true 1:1 marketing initiative
  • 24. With Great Data Comes GREAT RESPONSIBILITY To make the most of data – and really change healthcare – we must also be responsible and not abuse our power
  • 25. Everyday Health’s GUIDING PRINCIPLES NOTICE: let users know what’s happening CHOICE: let them opt out, if desired THE GOLDEN RULE
  • 27. It’s not hard to be a data-driven champion of marketing - the principles are still the same Market to the right person, at the right time, with the right message and then prove that it works…data makes it better or more exact You just need to ask the right questions to get the right data No matter the initiative, you simply have to ask: CAN DATA MAKE IT BETTER? Data Makes Marketing BETTER
  • 28. It’s daily monitoring and constant adjustments based on data It’s continuous, connected care It’s making more informed decisions and identifying risks before they happen It’s personalized, patient-centric marketing It’s improving compliance through data tracking and data-driven feedback It’s closed loop measurement that removes guesswork IT’S ALL ABOUT THE DATA! The FUTURE

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