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Sept 13, 2016
using Pulse to power
enterprise measurement
who we are 3
the measurement problem 6
enterprise measurement case study 9
Pulse powered measurement 16
q&a 21
agenda
2
about Ovative/group
company overview
a marketing measurement & activation agency
minneapolis, mn
employees: 65+
founded: 2009
deep expertise: data, analytics,
measurement, marketing execution
high-growth: 55% 5 year CAGR
what we do
O/g fearlessly unlocks the potential in data – this is
through advanced marketing measurement and
innovative and flawless activation of marketing and
media
how we drive value
O/g brings together disparate data sources into a
seamless environment where true marketing
effectiveness can be understood and activated upon –
driving improved marketing performance
who we are
Greg Engen
senior vice president,
business development
Alex Andrews
senior analyst,
measurement & activation
the measurement problem
the evolving marketing challenge
most businesses have a marketing environment that is comprised of many disconnected
touchpoints and customer types across multiple channels and devices
offline
online
offline
online offline online
consideration
channel(s)
marketing
channel
device
type
mailer
awareness consideration intent purchasedecision
directsearch email
path to purchase
TV
87%
of shoppers gather information
before they transact offline
70%
of marketing executives said they would
increase spend on mobile, digital and social
platforms, if they had the insights to do so
64₵
of every dollar spent in physical
stores influenced by a digital
interaction
Sources: Think With Google; Deloitte Digital study; WPP agency Millward Brown Digital 7
measurement components
8
measurement
decomposed
what does a measurement system have to do?
a holistic measurement system has:
• comprehensive collection mechanisms
• powerful integration capabilities
• flexible & meaningful analytics
• and impactful ways to activate.
collect integrate analyze activate
case study
the situation
specialty omni-channel retailer needs improvements in enterprise measurement
$1B+ retailer
1000+ locations
store eComm
10
prior architecture
provided inaccurate and incomplete view of digital marketing touchpoints
email open
display
impression
natural search store orderonsite
email
platform
ad server web analytics CRMweb analytics
enterprise
measurement system
eComm
converting
paths only
post-click
only
generic
processing
rules
11
:
how can we create an enterprise measurement platform
that reflects the true value of digital marketing at a
tactical level, including digital’s impact on offline sales?
key requirements
needed a flexible, scalable system that could give us an uninterrupted view of users
identification of a user should be
first-party to the client, not the platform
data should remain entirely
unprocessed by capturing system
email
site
display
13
: Pulse
universal, log-level data collection of all
interactions within the client domain, with
all data collected as first-party to the client
measurement components
15
collect integrate analyze activate
Pulse powered architecture
email open
display
impression
natural search
store order
onsite
email
platform
display
platform
CRM
web analytics
Pulse
channel-specificreporting
16
integration benefits of Pulse
17
end-to-end
data control
platform
independent
scalability &
flexibility
O/g controls data pipeline while data is owned by client
intentionally defined data processing rules specific to client & use case
entirely cloud data stack provides unprecedented cost efficiency
agile development of new use cases with little reengineering
operates independently from current measurement and execution platforms
doesn’t require any integration efforts with digital platform changes
new analyses unlocked
• online-to-store measurement
• cross-device measurement
• optimize to attributed revenue at more granular levels
• more granular CPA (cost-per-acquisition) measurement
• ongoing incrementality testing
18
Pulse provides massive improvements in both match rate and time to value
online-to-store
19
higher
identification
rates
more
connections to
offline
attribute offline
conversions
to media
% offline sales identified online
insight to activation
how does match rate drive measureable value?
20
speed comprehensiveness actionability
greater visibility to offline impact
in a fraction of the time
more representative
sample of consumers
tactical testing of media to
offline conversions
thank you
Greg Engen
greg.engen@ovative.com
Alex Andrews
alex.andrews@ovative.com

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How Omni-Channel Data Collection Can Power Marketing Measurement

  • 1. Sept 13, 2016 using Pulse to power enterprise measurement
  • 2. who we are 3 the measurement problem 6 enterprise measurement case study 9 Pulse powered measurement 16 q&a 21 agenda 2
  • 4. company overview a marketing measurement & activation agency minneapolis, mn employees: 65+ founded: 2009 deep expertise: data, analytics, measurement, marketing execution high-growth: 55% 5 year CAGR what we do O/g fearlessly unlocks the potential in data – this is through advanced marketing measurement and innovative and flawless activation of marketing and media how we drive value O/g brings together disparate data sources into a seamless environment where true marketing effectiveness can be understood and activated upon – driving improved marketing performance
  • 5. who we are Greg Engen senior vice president, business development Alex Andrews senior analyst, measurement & activation
  • 7. the evolving marketing challenge most businesses have a marketing environment that is comprised of many disconnected touchpoints and customer types across multiple channels and devices offline online offline online offline online consideration channel(s) marketing channel device type mailer awareness consideration intent purchasedecision directsearch email path to purchase TV 87% of shoppers gather information before they transact offline 70% of marketing executives said they would increase spend on mobile, digital and social platforms, if they had the insights to do so 64₵ of every dollar spent in physical stores influenced by a digital interaction Sources: Think With Google; Deloitte Digital study; WPP agency Millward Brown Digital 7
  • 8. measurement components 8 measurement decomposed what does a measurement system have to do? a holistic measurement system has: • comprehensive collection mechanisms • powerful integration capabilities • flexible & meaningful analytics • and impactful ways to activate. collect integrate analyze activate
  • 10. the situation specialty omni-channel retailer needs improvements in enterprise measurement $1B+ retailer 1000+ locations store eComm 10
  • 11. prior architecture provided inaccurate and incomplete view of digital marketing touchpoints email open display impression natural search store orderonsite email platform ad server web analytics CRMweb analytics enterprise measurement system eComm converting paths only post-click only generic processing rules 11
  • 12. : how can we create an enterprise measurement platform that reflects the true value of digital marketing at a tactical level, including digital’s impact on offline sales?
  • 13. key requirements needed a flexible, scalable system that could give us an uninterrupted view of users identification of a user should be first-party to the client, not the platform data should remain entirely unprocessed by capturing system email site display 13
  • 14. : Pulse universal, log-level data collection of all interactions within the client domain, with all data collected as first-party to the client
  • 16. Pulse powered architecture email open display impression natural search store order onsite email platform display platform CRM web analytics Pulse channel-specificreporting 16
  • 17. integration benefits of Pulse 17 end-to-end data control platform independent scalability & flexibility O/g controls data pipeline while data is owned by client intentionally defined data processing rules specific to client & use case entirely cloud data stack provides unprecedented cost efficiency agile development of new use cases with little reengineering operates independently from current measurement and execution platforms doesn’t require any integration efforts with digital platform changes
  • 18. new analyses unlocked • online-to-store measurement • cross-device measurement • optimize to attributed revenue at more granular levels • more granular CPA (cost-per-acquisition) measurement • ongoing incrementality testing 18
  • 19. Pulse provides massive improvements in both match rate and time to value online-to-store 19 higher identification rates more connections to offline attribute offline conversions to media % offline sales identified online
  • 20. insight to activation how does match rate drive measureable value? 20 speed comprehensiveness actionability greater visibility to offline impact in a fraction of the time more representative sample of consumers tactical testing of media to offline conversions
  • 21. thank you Greg Engen greg.engen@ovative.com Alex Andrews alex.andrews@ovative.com

Editor's Notes

  1. Everyone wants to do the latter two; in the following case study, we will walk through how O/g helped a specialty retailer get the first two right, enabling them to unlock their potential
  2. current digital marketing reporting had many blind spots, limiting data-driven action
  3. Here we see a view of what the prior enterprise measurement stack really looked like; a number of systems that all performed their function in terms of execution, and then the rawest form of data available from each of these systems was extracted, cleansed, merged, and then visualized. This looks like a fairly comprehensive system as is, but as we learned more abou this current system, we started to identify huge problems with this system. First of all, each of the respective systems identified users specific to their own platforms; the display ad server was aware when they were serving the same ad to a single user, but it had no idea how the email platform identified that user. This fact alone imposes huge operational burdens on our data processing, as we then need to stitch together each and every data set in order to get a view of a single consumer. Additionally, any time you are matching cookies from one system to another, you will lose some fidelity in the resulting data set, simply due to the nature of the web.
  4. Add four boxes to top right of collect/integrate/analyze/activate. this is the collect bucket