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Insights from the
Cutting Edge of Digital
Stephen DiMarco
CEO, MB Digital,
Milward Brown
@sdimarco
George Pappachen
Executive Vice President
Global Strategy, WPP
@GPappachen
Digital Media Trends
(c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Getting DigitalRight study, 2015.
Many potential
touchpoints
No single path to
purchase
Difficult to quantify
impact
Marketing state of the union
Marketing execution – the right questions
What
questions
should I be
asking?
What are
the relevant
creative
messages?
Who is the
target
audience?
Where
did the ad
appear?
How much
was spent
to place it?
Who saw
the
message?
What did
they do
about it?
What is the
consumer’s
media
journey?
Advertising Intelligence
Audience
Intelligence
Earned Media
Intelligence
Consumer
Intelligence
Advertising Intelligence
Media
Intelligence
Targeting audiences online
Targeting audiences online
A TV provider was
looking to target existing
customers with an offer
promoting the ability to
watch different
channels, in different
rooms, on different
devices.
Create an audience of
existing subscribers who
watched TV across
multiple devices.
We refined the target by
including those who
definitely agreed that
‘PVR technology has
changed the way I watch
TV’ indicating an interest
in TV tech developments
Average video viewing time
across the target segment was
33% longer than the campaign
average.
The audience was more
engaged as a rich target
definition meant we were
hitting the right people, with the
message, efficiently.
Challenge What we did Result
Targeting audiences online
Utilize large scale
on/offline database
target respondents
are matched to
online cookies and
‘look-alike’
audiences are
modelled
Panelists are matched to
a provider’s database
using name, address,
email & more
seed
respondents Look-alike targets
made available to
ad-serving platforms
2nd screen Ad Targeting
An advertiser was looking
to conquest by delivering
ads on the second screen
in direct competition with
the competition's TV ads.
The advertiser’s trading
platform used real-time ad
occurrence data feed to
optimize messaging during
the campaign.
This enabled the advertiser
to target online ads within
the same time period of
competitive ads running on
TV.
The real-time ad occurrence
feed provided a correlation for
more precise targeting on the
2nd screen.
This capability can be applied to
both competitive conquesting
and continued message.
Challenge What we did Result
2nd screen Ad Targeting using real-time ad occurrences
Share-of-voice Ad Targeting
Challenge
An advertiser was looking
to combat against ‘brand
clutter’ and identify online
white-space opportunities
for uniqueness of
message.
What we did
Identify concentrations
of ads from the same
vertical as well as from
competitive brands.
The advertiser was then
able to target sites the
target was visiting where
there were fewer
competitive ads.
Result
Using ads data, the advertiser
gained an ability to employ a
more strategic approach.
With this information in-hand, the
advertiser identified and served
ads that commanded a higher
share-of-voice of message to the
target audience.
Share-of-voice Ad Targeting
Competitor Brands Websites Ad Activity
Opportunity Zones
Moderate
Clutter
High
Clutter
Zero
Clutter
Very High
Clutter
Low
Clutter
Ad Spend and Impressions Data
Reaching the Dynamic Consumer
in an Evolving Digital Landscape
(c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Demystifying the Consumer Journey study, 2015.
Understanding the consumer journey
DEMOGRAPHICS
GEOGRAPHICS
PSYCHOGRAPHICS
Relationship with
CATEGORY
BRAND
TOUCHPOINTS
(c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Demystifying the Consumer Journey study, 2015.
Category influences time investment
LENGTH OF PURCHASE JOURNEY
Number of days from start of journey to purchase for each category
(c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Getting Audiences Right study, 2015.
Laptop/PC usage goes up with task length
0%
20%
40%
60%
0-5 minutes 5-10 minutes 10-20 minutes 20-60 minutes More than one hour
%ofRespondents
Device Preference for Various Task Lengths
LAPTOP / PCSMARTPHONE TABLET
(c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Compete Clickstream panel; laptop/desktop unique visitors.
Higher Education drives high visitation
0
20,000,000
40,000,000
60,000,000
80,000,000
100,000,000
120,000,000
140,000,000
Higher Education Wireless Carriers Automotive Manufacturers Banking Consumer Electronics
Average Monthly UVs (laptop/PC)
4Q14 1Q15 2Q15
(c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Compete Clickstream panel; top sites for Higher Education behavioral segment
(includes Colleges & Universities, Financial Aid, Online Courses, Student Resources.
Higher Education receives higher engagement
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15
Time Spent per UV (min)
Higher Education Wireless Carriers Automotive Banking Consumer Electronics
(c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Compete Clickstream panel; top sites for Higher Education behavioral segment
(includes Colleges & Universities, Financial Aid, Online Courses, Student Resources.
Top 10 Sites Higher Education sites
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
Aug
2015
Optimize through better measurement
The ABC’S help marketers uncover insights
Maximize reach,
frequency, & viewable
brand impact to targets
Audience Insights
Impact of campaigns
on attitudes and brand
lift measures
Brand Lift
Demonstrate how
marketing
contributes to
sales/application
Sales Outcomes
Analyze actual online
behavior and the impact
of exposure
Consumer Behavior Impact
Total U.S. Adults 25-54 Site A Campaign Delivery Adults 25-54
Targeting Efficiency
Audience Effect – Target Consumers Reached
The campaign reached 2MM target consumers at a cost per target of $0.05. This translates into roughly 19 target
consumers gained per dollar spent. The campaign successfully delivered significant targeting and audience scale.
Percent Difference: +5.0%
Incremental Target Consumers:
(Incremental Efficiency*Reach)
0.025 * 3,823,480= + 95,587
Total Target Consumers:
(Efficiency*Reach)
0.53 * 3,823,480= +2,026,444
Return Objective
Target
Consumers
Cost per
Consumer*
A-Effect **
Audience 2,026,444
$0.05 spent
per target consumer
19 target consumers
per $ spent
+2.5%
Brand Effect – Aided Brand Awareness
The campaign drove a 7.4% point increase in Aided Awareness. This translates to an incremental 283K consumers
that became aware of Brand X. This cost $0.37 per consumer, meaning about 3 consumers gained per dollar spent.
Percent Difference: +10.1%
Significance Level: 83%
Incremental Aware Consumers:
(Incremental Awareness*Reach)
0.07 * 3,823,480 = +282,938
Return Objective
Campaign
Impact
Cost per
Consumer*
B-Effect **
Brand 282,938
$0.37 spent
per target consumer
2.7 target consumers
per $ spent
+7.4%
Non-Exposed Exposed
Aided Brand Awareness
(consumers aware of Brand X when prompted)
Consumer Behavior Effect – Brand Visits
With a +13% increase in brand visits observed over the campaign +4 week period, an incremental 459K consumers
went on to the brand site.
5.13%
17.94%
Control Exposed
+13%
Percent Difference: +13%
Significance Level: 90%
Incremental Visitation:
(Incremental Visitation*Reach)
0.13 * 3,823,480 = +458,818
Return Objective
Campaign
Impact
Cost per
Consumer*
C-Effect **
Consumer
Behavior
458,818
$0.23 spent
per target consumer
4.3 consumers
per $ spent
Branded Visitation Activity
(Rate of brand visit lift for exposed vs. control)
8.3%
8.7%
Non-Exposed Exposed
Penetration
Sales Effect - Penetration
The campaign drove a 0.4% point increase in Penetration for Brand X. This translates to an incremental 15K
consumers that became purchasers. Given the campaign investment of $105,503, this cost $6.90 per consumer.
Percent Difference: +.4%
Significance Level: 73%
Total Incremental Penetration:
(Incremental Pen*Reach)
0.004* 3,823,480= +15,294
Return Objective
Campaign
Impact
Cost per
Consumer*
S-Effect **
Sales
+15,294
consumers
$6.90 spent
per consumer
0.14 consumers
per $ spent
+0.4%
Measurable returns at every funnel level
Holistic programs not only explore the individual measurement elements, but combine them to tell a complete story
and achieve maximum results.
Total ROI Objective KPI’s
Campaign
Impact
Cost Per
Consumer*
Consumers per
Dollar Spent
Targeting
Efficiency
+2,026,444
consumers
$0.05 19.2
Aided Brand
Awareness
+282,938
consumers
$0.37 2.7
Brand Visits
+ 458,818
consumers
$0.23 4.3
Penetration
+15,294
consumers
$6.90 0.14
Incremental Sales $726,461
= $6.89
per $ spent on advertising **Advertising Spend ($105,503)
What does this mean for Marketers?
george.pappachen@kantarmedia.com
George Pappachen
Stephen DiMarco
stephen.dimarco@millwardbrown.com

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Insights from the cutting edge of digital

  • 1. Insights from the Cutting Edge of Digital Stephen DiMarco CEO, MB Digital, Milward Brown @sdimarco George Pappachen Executive Vice President Global Strategy, WPP @GPappachen
  • 3. (c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Getting DigitalRight study, 2015. Many potential touchpoints No single path to purchase Difficult to quantify impact Marketing state of the union
  • 4. Marketing execution – the right questions What questions should I be asking? What are the relevant creative messages? Who is the target audience? Where did the ad appear? How much was spent to place it? Who saw the message? What did they do about it? What is the consumer’s media journey? Advertising Intelligence Audience Intelligence Earned Media Intelligence Consumer Intelligence Advertising Intelligence Media Intelligence
  • 6. Targeting audiences online A TV provider was looking to target existing customers with an offer promoting the ability to watch different channels, in different rooms, on different devices. Create an audience of existing subscribers who watched TV across multiple devices. We refined the target by including those who definitely agreed that ‘PVR technology has changed the way I watch TV’ indicating an interest in TV tech developments Average video viewing time across the target segment was 33% longer than the campaign average. The audience was more engaged as a rich target definition meant we were hitting the right people, with the message, efficiently. Challenge What we did Result
  • 7. Targeting audiences online Utilize large scale on/offline database target respondents are matched to online cookies and ‘look-alike’ audiences are modelled Panelists are matched to a provider’s database using name, address, email & more seed respondents Look-alike targets made available to ad-serving platforms
  • 8. 2nd screen Ad Targeting An advertiser was looking to conquest by delivering ads on the second screen in direct competition with the competition's TV ads. The advertiser’s trading platform used real-time ad occurrence data feed to optimize messaging during the campaign. This enabled the advertiser to target online ads within the same time period of competitive ads running on TV. The real-time ad occurrence feed provided a correlation for more precise targeting on the 2nd screen. This capability can be applied to both competitive conquesting and continued message. Challenge What we did Result
  • 9. 2nd screen Ad Targeting using real-time ad occurrences
  • 10. Share-of-voice Ad Targeting Challenge An advertiser was looking to combat against ‘brand clutter’ and identify online white-space opportunities for uniqueness of message. What we did Identify concentrations of ads from the same vertical as well as from competitive brands. The advertiser was then able to target sites the target was visiting where there were fewer competitive ads. Result Using ads data, the advertiser gained an ability to employ a more strategic approach. With this information in-hand, the advertiser identified and served ads that commanded a higher share-of-voice of message to the target audience.
  • 11. Share-of-voice Ad Targeting Competitor Brands Websites Ad Activity Opportunity Zones Moderate Clutter High Clutter Zero Clutter Very High Clutter Low Clutter Ad Spend and Impressions Data
  • 12. Reaching the Dynamic Consumer in an Evolving Digital Landscape
  • 13. (c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Demystifying the Consumer Journey study, 2015. Understanding the consumer journey DEMOGRAPHICS GEOGRAPHICS PSYCHOGRAPHICS Relationship with CATEGORY BRAND TOUCHPOINTS
  • 14. (c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Demystifying the Consumer Journey study, 2015. Category influences time investment LENGTH OF PURCHASE JOURNEY Number of days from start of journey to purchase for each category
  • 15. (c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Getting Audiences Right study, 2015. Laptop/PC usage goes up with task length 0% 20% 40% 60% 0-5 minutes 5-10 minutes 10-20 minutes 20-60 minutes More than one hour %ofRespondents Device Preference for Various Task Lengths LAPTOP / PCSMARTPHONE TABLET
  • 16. (c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Compete Clickstream panel; laptop/desktop unique visitors. Higher Education drives high visitation 0 20,000,000 40,000,000 60,000,000 80,000,000 100,000,000 120,000,000 140,000,000 Higher Education Wireless Carriers Automotive Manufacturers Banking Consumer Electronics Average Monthly UVs (laptop/PC) 4Q14 1Q15 2Q15
  • 17. (c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Compete Clickstream panel; top sites for Higher Education behavioral segment (includes Colleges & Universities, Financial Aid, Online Courses, Student Resources. Higher Education receives higher engagement 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 Time Spent per UV (min) Higher Education Wireless Carriers Automotive Banking Consumer Electronics
  • 18. (c) 2015 Millward Brown Digital. Source: Millward Brown Digital’s Compete Clickstream panel; top sites for Higher Education behavioral segment (includes Colleges & Universities, Financial Aid, Online Courses, Student Resources. Top 10 Sites Higher Education sites 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Aug 2015
  • 19. Optimize through better measurement
  • 20. The ABC’S help marketers uncover insights Maximize reach, frequency, & viewable brand impact to targets Audience Insights Impact of campaigns on attitudes and brand lift measures Brand Lift Demonstrate how marketing contributes to sales/application Sales Outcomes Analyze actual online behavior and the impact of exposure Consumer Behavior Impact
  • 21. Total U.S. Adults 25-54 Site A Campaign Delivery Adults 25-54 Targeting Efficiency Audience Effect – Target Consumers Reached The campaign reached 2MM target consumers at a cost per target of $0.05. This translates into roughly 19 target consumers gained per dollar spent. The campaign successfully delivered significant targeting and audience scale. Percent Difference: +5.0% Incremental Target Consumers: (Incremental Efficiency*Reach) 0.025 * 3,823,480= + 95,587 Total Target Consumers: (Efficiency*Reach) 0.53 * 3,823,480= +2,026,444 Return Objective Target Consumers Cost per Consumer* A-Effect ** Audience 2,026,444 $0.05 spent per target consumer 19 target consumers per $ spent +2.5%
  • 22. Brand Effect – Aided Brand Awareness The campaign drove a 7.4% point increase in Aided Awareness. This translates to an incremental 283K consumers that became aware of Brand X. This cost $0.37 per consumer, meaning about 3 consumers gained per dollar spent. Percent Difference: +10.1% Significance Level: 83% Incremental Aware Consumers: (Incremental Awareness*Reach) 0.07 * 3,823,480 = +282,938 Return Objective Campaign Impact Cost per Consumer* B-Effect ** Brand 282,938 $0.37 spent per target consumer 2.7 target consumers per $ spent +7.4% Non-Exposed Exposed Aided Brand Awareness (consumers aware of Brand X when prompted)
  • 23. Consumer Behavior Effect – Brand Visits With a +13% increase in brand visits observed over the campaign +4 week period, an incremental 459K consumers went on to the brand site. 5.13% 17.94% Control Exposed +13% Percent Difference: +13% Significance Level: 90% Incremental Visitation: (Incremental Visitation*Reach) 0.13 * 3,823,480 = +458,818 Return Objective Campaign Impact Cost per Consumer* C-Effect ** Consumer Behavior 458,818 $0.23 spent per target consumer 4.3 consumers per $ spent Branded Visitation Activity (Rate of brand visit lift for exposed vs. control)
  • 24. 8.3% 8.7% Non-Exposed Exposed Penetration Sales Effect - Penetration The campaign drove a 0.4% point increase in Penetration for Brand X. This translates to an incremental 15K consumers that became purchasers. Given the campaign investment of $105,503, this cost $6.90 per consumer. Percent Difference: +.4% Significance Level: 73% Total Incremental Penetration: (Incremental Pen*Reach) 0.004* 3,823,480= +15,294 Return Objective Campaign Impact Cost per Consumer* S-Effect ** Sales +15,294 consumers $6.90 spent per consumer 0.14 consumers per $ spent +0.4%
  • 25. Measurable returns at every funnel level Holistic programs not only explore the individual measurement elements, but combine them to tell a complete story and achieve maximum results. Total ROI Objective KPI’s Campaign Impact Cost Per Consumer* Consumers per Dollar Spent Targeting Efficiency +2,026,444 consumers $0.05 19.2 Aided Brand Awareness +282,938 consumers $0.37 2.7 Brand Visits + 458,818 consumers $0.23 4.3 Penetration +15,294 consumers $6.90 0.14 Incremental Sales $726,461 = $6.89 per $ spent on advertising **Advertising Spend ($105,503)
  • 26. What does this mean for Marketers?

Notes de l'éditeur

  1. Many potential touchpoints - Consumers not only have many brands to choose from, they can also choose from different channels to research and purchase. No single path to purchase - Too many choices results in an infinite number of paths - marketers struggle to define a single consumer journey. Difficult to quantify influence - Marketers lack visibility into the interaction and influence that all touchpoints have on consumers.
  2. According to Terry Semel, CEO and director at Yahoo at the Association of National Advertisers’ annual meeting in Oct ’14: “Consumers determine what they want when they want it, which is a prime reason for the shift in dollars from broadcast to cable to Internet and to more non-traditional media in general. It’s now a question of ‘How personalized can you make your brand in my life?’”
  3. Effective communication along the purchase path begins by understanding consumers’ relationships
  4. The buying process varies across low-involvement purchases to those that require more in-depth research
  5. But today’s environment isn’t as simple as understanding what sites consumers engage with, but also, on what devices they interact.
  6. This is likely impacted by a number of factors, such as: Heavy research period in making a decision around higher education Once enrolled, follow-up engagement (such as accessing student portal, etc.) Inclusion of financial assistance-related sites, which more and more students require to complete their education
  7. Perhaps not surprising that several of the most prominent universities feature in the top 10, or FAFSA, which all student must complete in order to receive federal aid. The inclusion of Blackboard is certainly interesting, and shows the penetration of education-related companies into the consumer journey.
  8. To understand the consumer journey and maximize ROI, we’ve developed the ABC’S of Digital Marketing