media mix modeling 2.0
TRANSCRIPT
Media Mix Modeling 2.0
The Fine Art of Blending and Mixing Paid & Earned Media to Build Brands
ARF RE-THINK 2010
DRAFT VERSION
Pete Blackshaw, Executive Vice President Nielsen, Digital Strategic Services
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 1
Summary
Improvements in online measurement and the growing adoption of consumer listening
platforms are laying foundation for a new framework for maximizing brand value through
mixing and weighting “Paid” and “Earned” media online that we might refer to as “Media
Mix Modeling 2.0.” Paid and earned media complement and reinforce one another,
especially with correct levels of brand readiness, agility, advocacy and latency working in
the background. This paper will provide marketing and research stakeholders with a
framework and decision-guide for thinking about paid, earned, and blended media inputs
using select examples of cross-platform integration, from Super Bowl advertising to
Twitter’s echo effect on primetime television shows and advertising. We will discuss how
this should inform key operational choices such as resource, media spend, and indirect
marketing (e.g. CRM, customer service, social media engagement) decisions.
Nielsen learned through in-depth analysis of both paid and earned media inputs during
the 2010 Super Bowl that the interplay of the two made a significant difference for
participating brands. Coordinated activity increased brands’ overall level of conversation
and primed the ad buy for an ongoing annuity of free media through search results and
site indexing, among other things. We also learned that it mattered for brands to be
prepared and primed – we use the terms “brand readiness” and “brand agility” before a
paid media investment. This paper will detail those learnings as well as high-level
learning from the 2010 Olympics and Academy Awards.
Background: Marketing Dilemma in a Digital “Blended” Age
In recent months there has been a growing level of industry attention on “Paid Media
versus Earned Media.” One common refrain is that brands should consider shifting more
attention and resources from the paid to the “earned” side of the equation, ideally
resulting in word-of-mouth conversation favorable to the brand. This might involve, for
example, greater investment in “brand experience” or customer service as this has
proven to trigger favorable conversation as displayed in high visibility search results
against brand searches. Marketers lead toward paid media because it is predictable,
baked into existing media processes, and increasingly targeted and precise – and
increasingly so in a digitally enabled world -- while “earned media,” most embodied in
social media and online conversation, is far harder to guarantee and typically works in
longer-term cycles.
But is it that simple? Paid media often triggers online conversation via the web’s echo-
chamber, creating a form of “blended media” that can display either positively or
negatively for the brand. Conversely, earned media can inform “paid” media
opportunities, such as the growing spectrum of “co-creation” activities. Frito Lay’s
increasing reliance on viewer crowd-sourcing for Super Bowl ads richly illustrates this
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 2
phenomenon. Earned media can also inform the shape and direction of paid media and
paid media in turn should echo this learning.
How to best optimize the “media mix” in a paid/earned digital universe – especially
against new dynamics of consumer control and leverage -- and resource accordingly
remains a huge question for marketers. If we know that customer service is the top driver
of high-trust/high-impact “earned media,” should a percentage of “paid” media be used to
pay for it, or should you utilize a more “blended” approach? (e.g. Best Buy anchoring TV
advertising to Twelpforce, as “service” messaging makes TV copy more persuasive and
impactful.) Moreover, how do we think about the mix during different stages of the
product life cycle? Earned media tends to incubate, grow, and spread around new news.
This makes sense as the as “new” provides currency for “social connectors”, digital or
otherwise, to tell others and to “time-stamp” their discovery.
Research Solution: Media Mix Modeling 2.0?
What’s emerging is something we might refer to as “Media Mix Modeling 2.0. This
research makes a first attempt at framing core assumptions around earned, paid, and
blended media inputs. More specifically, we attempt to probe and answer the following
questions:
o Definitions: What are the definitional parameters of “Paid,” “Earned” and “Blended”
media? How do we drive distinctions with the PR industry’s historic use of the term
“earned media?” What is the interplay between “paid and “earned” media?
o Core Measurements: What are the most critical measurements in this type of
environment? What role does the listening platform play as a price of entry for the
new media mix modeling?
o 2010 Super Bowl Learning: How did advertisers overall increase net return on their
$2.5 MM Super Bowl spot leveraging “earned media?” In what ways did Frito Lay
exploit Paid/Earned media framework in the 2010 Super Bowl via the latest version of
the “Crash the Super Bowl” campaign?
o Decision Making & Organizational: What are the key marketing considerations for
senior officers in a paid/earned word? What decisions are within scope, or out of
scope? What are the critical organizational considerations one must grapple with?
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 3
Defining Terms: Paid versus Earned Media
In a “Media Mix Modeling 2.0” world, marketer and researchers should be indifferent to
how they receive “media” impressions. Marketers are always in relentless pursuit of
maximizing favorable impressions for the brand. These impressions later influence
awareness, trial, and ultimately purchase behavior. Today such impressions can source
from either what brands pay for (e.g. TV views, online eyeballs) or what they “earn”
(online conversation, PR). Both sides have grown more complex with the advent of
digital media and with the proliferation of consumer expression venues.
To put this in perspective, there are now over 400 million Facebook accounts globally;
there are an equal number of blogs, and Twitter accounts are mushrooming. Consumer-
generated media and social media infrastructure has been building exponentially for the
past 15 years. Combined, these entities amount to a massive repository of “media”
impressions, many of which implicate (or reward) brands. The challenge of such media
is that it is difficult – and some cases, impossible – to control. Much of the brand-related
chatter emanates directly from brand experience, and that can not be easily changed
overnight. Indeed, solid foundations must be in place for word-of-mouth to have it full
effect and impact.
Brands are increasingly trying to maximize the play of the two as they combine online
and offline ad buys with offline PR and social media. Thus, the term “earned media”
does include the offline and oft-used PR input. Another term we sometimes hear in
marketing circles is “owned media,” which might include the brand website, in-store
advertising, and the like. For the purpose of this exploratory, we put the “owned media”
somewhere between “paid” and “blended.”
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 4
Spurned Media: When Earned Goes Negative
One advantage of paid media is it is predictable – the marketer remains completely (or
almost completely in the case of media such as Doritos co-creation ads) in control of the
messaging. Earned media doesn’t function that way, and quite often – as hundreds of
brands have learned the hard way – it often leans negative. We call this “spurned
media” -- earned media that goes horribly negative, invades otherwise pristine search
results or bleeds into traditional media. Bad customer service is a top driver of "spurned
media." Spurned media can include counter-claims by consumers, hostile reviews, viral
waves of negatives (e.g. lack of transparency), off equity content, activists hijacking or
co-opt ad messaging, or various other challenges such as to “Green” or “Health” themes.
Paid advertising – even TV spots – are increasingly counter-balanced by spurned media.
Maximizing the Paid & Earned Synergy
The critical question for today’s CMO, or media planner, or research assigned to boost
advertising effectiveness is this: how does a brand maximize the interplay between “paid
media” and “earned media.” How do we ensure the two are complimentary and not at
odds with each other? Can the two be “blended” to maximize impact? If so, what
variables or factors might make a meaningful difference in the blending process? We
focus special attention on four key measurement considerations and approaches to both
optimize and determine return on “Earned versus Paid” media frameworks.
Brand Readiness: Brand readiness reflects the degree to which the brand is
prepped and primed for incremental media impressions and online conversation.
This includes having the right listening platform in place. Indeed, a growing percent
of “earned media” can be primed through such things as influencer identification,
ensuring the brand website provides ample “currency” to spread the message, and
collecting feedback through consumer relations (which signals respect for the
consumer and nurtures advocacy). Brand readiness also primes “earned media”
echo effects from paid media inputs – e.g. should the ad copy also be placed on
YouTube or the brand site? In a social and “digitally” enabled world, the readiness
list continues to grow.
Brand Agility: Brand agility is the degree to which the brand is primed to act in
actual or near real-time in response to stimuli for the purpose of increasing exposure
or “media impression” count. Does the brand, for instances, have resources (internal
or agency) ready to nurture, propel, advance, or occasionally sandbag and defuse
the conversation? If early buzz on an ad fixates on a certain aspect of the copy,
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 5
brands with high levels of “brand agility” are able to respond through ad tweaking, PR
interventions, social media engagement, and more. The oft-used term in research
circles, “sense & respond” ties closely to brand agility. Brands with growing reserves
of employees on Twitter, Facebook fan sites, or even brand-hosted communities tend
to score well on the “agility” front. Brands who staffed their CRM and Twitter
accounts 24/7 during the Olympics displayed high levels of “brand agility.”
Brand Advocacy: Brand advocacy is at the heart of “earned media,” and reflects
the degree to which consumers recommend, endorse, praise, or publicly bear
allegiance to the brand. (Facebook “fans,” typically reflect high levels of brand
advocacy.) Brand advocacy is both the requirement and engine of word-of-mouth. It
can be quantified and translated in many ways, including via Nielsen’s Brand
Advocacy Quotient (BAQ). Moreover, platforms that lend themselves to brand
advocacy are proliferating across the web. A high quotient of brand advocacy before
a media buy generally increases odds of favorable viral or conversational lift.
Brand Latency: Latency measures the degree to which the content sticks or how it
appears in search results or other critical places in the online consumer purchase
funnel. At Nielsen, we measure latency through an instrument called iShelf that
assigns value to brand positioning in search results, not unlike how “category
management” assigns value to shelf-space. Brand latency might suggest, for
instance, that Nationwide insurance still reaps millions of dollars in “earned media”
impressions for their highly conversational ad in the Super Bowl four years ago
featuring Kevin Federline. Latency is also reflected in Wikipedia brand entries,
YouTube search results and tags, and just about any social media discovery engine.
A New Measurement Framework: The Blended Media Score (BMS)
With such variables in mind, Nielsen recently embarked upon an effort to see whether
there might be an opportunity to combine both paid and earned media metrics to provide
a more complete holistic view or campaign, launch, or event effectiveness to marketing
stakeholders related. And so we developed and tested a new metric, the Blended Media
Score (BMS), with the goal of giving brands and content providers a more complete view
of ad effectiveness. This BMS metric tracks the impact from traditional “Paid Media” (TV
ads, banner ads) but also “blends” data from online buzz and social media – what we’re
calling “Earned Media.”
How is the Blended Media Score calculated?
The BMS is the sum of an ad/brand’s paid media efforts and the earned media gained
online through consumer conversation and action. Our approach is an empirically-derived
algorithm which takes into account key metrics for each paid and earned media ensuring
that both components are equally represented. All metrics are normalized to the same
scale, summed, and then indexed about the mean to derive the overall score.
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 6
The BMS is indexed to the mean which is equal to 100; therefore, we consider indices
between 90-110 as average performers. Ads/brands that receive a score below 90 signify
under-perform relative to competitors, while scores above 110 indicate high performance.
What are the paid and earned indices?
To add context we provide independent indices for the paid and earned media
components to illustrate how an ad/brand performs for each element. Similar to the
overall blended score, these metrics are indexed about the mean. Accordingly, the
overall score is not an average of the earned and paid scores, but rather a composite of
all metrics. A weighting scheme is applied to the metrics to reflect their value in the
broader scope of advertising effectiveness. We find in both paid and earned media that
recall, appeal and reach are the most important metrics and therefore give them slightly
more weight than variables such as sponsorships/other in-program placements or
change in Twitter followers/Facebook fans.
Super Bowl Case Study
There is no better environment to road test this Blended Media Score than the Super
Bowl, where the online conversations is already prevalent and can impact brand
perception in new and meaningful ways both before and after a traditional advertisement
hits the airwaves.
Unique Considerations
The metrics considered were focused to accommodate Super Bowl advertising
evaluation, and the paid media variables limited to only TV metrics to simplify the
analysis. Earned variables are limited to consumer responses to those TV ads;
therefore, customer service and product performance do not play a role in ad evaluation,
and influencers/advocates do not play a part in immediate post Super Bowl reactions.
Below is a simplified version of the metrics included in the Super Bowl analysis:
EARNEDPAID
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 7
Blended Score Super Bowl Results
The top Blended Media Score performers for the 2010 Super Bowl managed to perform
well in both earned media (buzz volume, sentiment, increased engagement through
social media channels) and paid media (recall, likeability, audience/reach).
Brands that succeeded in only one area fell in the middle of the pack for their BMS
ranking. For example, Focus on the Family over-indexed on earned media due to their
very high volume of conversation (122) but under-indexed in paid media (80) causing
them to fall 16th out of 43 advertisers.
Brands that offered free products or trial
incentives (Denny’s, Dockers) over-performed
in earned media relative to other advertisers.
The offers not only spurred higher levels of
buzz, but also appeared to provide unique
“pass along” currency to consumers.
Specifically, Denny’s succeeded largely due to
the earned media its advertising gained
because of the “free factor.” Offering free
breakfast won over consumers and led to very
high likability scores as well as a large amount
of online discussion. Their frequent updates
and teasers on Facebook led to many
individuals becoming fans of the brand online.
The top six brands all over index on both paid and earned media components and not
surprisingly showed a rounded offering. Brands seven and eight on the blended score
rating as you can see in the chart below. Coke and Bridgestone, had very strong paid
components but slightly less than average earned media.
Biggest Bowl and Biggest Buzz Nearly 107 million tuned into CBS’ telecast of Super Bowl XLIV, making it the most watched TV program ever in the United States. The game also generated the highest volume of online conversation and “Earned Media,” with conversation spikes on Facebook and Twitter playing a disproportionate role the buzz. Key Data from The Super Bowl:
14% of home Super Bowl viewers with Internet access browsed the web at least once during the big game, up slightly from last year’s 12%. This compares favorably to the Olympic Opening Ceremonies where 13% of viewers multitasked.
These “multitaskers” average time spent online also increased from 24 to 29 minutes. This total was less than the 32 minutes spent by Olympic viewers.
36% (38% Olympics) of Super Bowl users visited Google.com and 34% (41% Olympics) visited Facebook.com.
Facebook was visited during the game by 1 in 20 of all at-home Super Bowl viewers with Internet access, averaging 19 minutes per user.
*Data from Nielsen Convergence Panel and select National People Meter homes
Paid and Earned Media Scoring by Brand
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 8
Scoring and “Blending” Brands
105
100
130
136
117
129
101
136
164
195
110
121
94
93
117
111
160
153
162
147
0 50 100 150 200 250
Emerald of California Nuts
E*Trade Online Financial
Bridgestone Tires
Coca-Cola Beverages
Snickers Candy
Dockers Clothing
Denny's Restaurants
Doritos Tortilla Chips
Budweiser Beer
Earned
Paid
MEANMEAN
Blended Blended ScoreScore
242242
225225
189189
161161
140140
134134
129129
124124
121121
115115
242242
225225
189189
161161
140140
134134
129129
124124
121121
115115
E*Trade leveraged an integrated social media campaign to gain attention of their
Facebook page and YouTube channel. They integrated their Facebook page across their
full advertising strategy; as a result, they experienced a large influx of Facebook fans and
experienced the second largest increase in fans among all advertisers.
Game Recap Learning: Does Timing Matter?
Until Super Bowl 2010, the season finale of M*A*S*H in 1983 aired the highest
commercial minute, when an estimated 108.9 million viewers watched the second half
hour of the program. However, a Doritos commercial featuring two men attacked in a gym
for stealing someone else’s Doritos was seen by an estimated 116.2 million viewers in
the last Super Bowl which made it the most
watched television commercial of all time.
The ad ran in the game’s fourth quarter at
9:30pm ET.
Audi’s “Green Police” ad earned the title of
second most viewed ad with 115.6 million
watching. Electronic Arts’ spot for its new
game Dante’s Inferno drew 115.1 million.
Focus on the Family’s ad featuring Tim
Tebow tied for the least viewed ad of Super
Bowl XLIV, despite the heavy pre-game
buzz going into the game.
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 9
There is a positive correlation between seconds of advertising, buzz volume and ad
appeal. Many of the brands featuring only 30 seconds of paid time receive lower appeal
ratings and minimal buzz while the more appealing ads receive more buzz.
Budweiser is a clear leader with both high levels of paid time and subsequent online
discussion. Doritos also is a strong performer and receives ” more bang for their buck” –
they paid for less time than Budweiser, had consumers make the creative (ads), yet
received more buzz and higher appeal rating.
Budweiser:
Budweiser garnered points for buying the most seconds of advertising (300) and placing
several of their ads during Q1, leading to high recall, as well as Q4 when viewership was
at its max. Five out of the six Bud ads were both highly memorable and likeable based
on next-day viewer response. The ads, combined with the brand’s sponsorship of the
aerial coverage of the game, gave Budweiser a heavy paid presence during the telecast.
On the earned side, the Clydesdale ads generated a large amount of discussion. The
brand also leveraged a Facebook campaign leading to a significant increase in Facebook
fans as fans were asked to vote on which ads should be aired during the game.
Doritos:
Doritos succeeded again this year with co-creation of commercials in an
online contest. Three out of the five most effective ads of 2010 were from
Doritos. Although one ad, “Snack Attack Samurai ,” was polarizing based
on TV viewer response, online chatters loved the Doritos ads overall and
stated they were the funniest of the night. Doritos purchased fewer seconds
of advertising than Budweiser but they appeared in strong timeslots and
rounded out their Super Bowl presence by sponsoring the Halftime Report.
Post-game fans flocked to follow Doritos on Twitter. Additionally, ccording
to Nielsen Netview, Doritos saw almost 430,000 unique visitors to the
website during the pre- Super Bowlad voting period.
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 10
The Role & Impact of Brand Readiness
High readiness ratings did not consistently convert into high BMS scores; nevertheless,
among the top 10 according to BMS, both Doritos and Bridgestone received high
readiness scores. (Doritos has the second highest BMS and the highest readiness, while
Bridgestone ranked 8 by the BMS with the second highest readiness score)
Brands could succeed without having all the boxes checked off, but then they needed to
over compensate in another area. For instance, both Budweiser and Doritos are in the
bottom tier for one social media platform. In Budweiser's case, the brand far outperforms
all others on the paid variables that the deficit in Twitter is balanced out. Doritos, on the
other hand, compensates for the lack of lift in Facebook fans by over performing on buzz
volume as well as gaining slight incremental value through the paid variables second of
advertising and recall. All top brands were successful in creating appeal toward the ad(s),
generating buzz linked to the super bowl, and receiving a social media lift in Facebook
fans OR twitter followers.
Ad Recall
Super Bowl had a record audience size with
viewership growing throughout the game. Ad
recall, however, declines throughout the game.
Nevertheless, many ads airing in the third and
fourth quarters receive high recall levels when
the audience size is at its peak.
AppealIPP/
SponsorPaid Ad
Audience Recall
∆ Brand Buzz
Volume
Brand SB Linkage
Buzz
Buzz Sentiment
∆ TwitterFollowers
∆ FB Fans
Budweiser
Doritos
Denny's n/a
Dockers n/a
Snickers n/a
Google n/a n/a
Coca-Cola n/a
Bridgestone
E*Trade n/a
AppealIPP/
SponsorPaid Ad
Audience Recall
∆ Brand Buzz
Volume
Brand SB Linkage
Buzz
Buzz Sentiment
∆ TwitterFollowers
∆ FB Fans
Budweiser
Doritos
Denny's n/a
Dockers n/a
Snickers n/a
Google n/a n/a
Coca-Cola n/a
Bridgestone
E*Trade n/a
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 11
Other Results and Learning
Nielsen learned through in-depth analysis of both paid and earned media inputs in the
2010 Super Bowl is that the interplay of the two made a significant difference for the
brand. It increased their overall level of conversation and buzz, and primed the spot for
an ongoing annuity of free media through search results and site indexing. We also
learned that “brand readiness” and “brand agility” played a key role. Preliminary learning
from the 2010 Winter Olympics and the 2010 Oscars seem to echo these learnings.
Opportunities & Guidance from Super Bowl Analysis
1. Think hard about a compelling “call to action.” Advertisers leveraging a distinct
online call to action (Dockers, Denny’s) earned high levels of buzz, and greater
interaction with their social media touch points. Brands offering free samples also
sustained online buzz for a longer period of time than other advertisers. As social
media expression venues proliferate, this may well become an even greater
opportunity.
2. Brand Readiness really matters so line-up as many success factors and
variables as possible. Go Daddy ads drove a higher number of survey respondents
to their website), but didn’t score in the top 20 Blended Media Score. This occurs
because the ad has low appeal ratings and relatively low movement among Twitter
followers and Facebook fans with only average recall. To be a top performer, the
ad/brand had to succeed on more than one variable. (Additionally, website visitation
is not a variable in the Super Bowl BMS and an issue that will be addressed in the
future.)
3. Humor and free trials continue to drive highest levels of buzz and earned
media. These talk drivers tended to drive significant activity as both a call to action
and a unique “pass along” for online currency.
4. Steer away from half-time ads in favor of half-time conversation drivers. Game
day buzz is highest during the half-time show when ad recall is at its lowest. Since
consumers already spend more time talking online during half-time, find creative
ways to encourage conversation, with or about your brand. Since Simultaneous
Visitors are largely active on social media, while they are not focused on the game,
try capturing their attention online. Consider having a conversation with your
fans/followers during half-time or host a half-time contest on your website related to
the game
5. Brand Latency is an ongoing game. Brands cannot determine true impact of all
adds immediately as continued exposure occurs from the latency effect in search
results. Pepsi, not an advertiser this year, still continued to receive views and
placement from previous efforts.
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 12
Brand Readiness – Check-list for Maximum ROI
The Super Bowl (as well as the Olympics) provided data
proving the importance of “Brand Readiness” to enhance
customer feedback and commentary as well as Brand ROI.
Readiness doesn’t necessarily mean direct brand
engagement in the conversation but instead mostly refers to
ensuring the consumers have the means to easily discuss
brand related topics such as the commercials. A Super Bowl
“Readiness Checklist” can be seen to the right. Key points
include ensuring mention of and video of the ads on the
brand website to drive traffic and searchability for the ad via
internal brand search and external search. Additionally, a
presence on key social networking sites is a must to truly
empower consumer discussion and enhance ROI from the
paid ad purchase.
Future Exploration, Conclusions and Drivers for Organizational Action
BMS and the entire theory behind Media Mix Modeling 2.0 is not a finished product. The
industry continues to evolve and the score must evolve with it. We continue to work to
answer (among many others) the following questions to better model consumer behavior
and their interactions with media be it online, offline, digital, paper, etc:
What drives the latency effect? Is the impact from free giveaways/contests lasting?
What readiness metrics truly impact long term performance?
Is there added earned media or conversational value in having a spokesperson?
How do brands fare that leverage only an online campaign compared to brands that
leverage only paid TV advertising? Is one form more successful than the other?
Regardless of the questions that still to be answered, it is apparent that media leaders
cannot afford to look at paid and earned media in isolation. Media must function as part
of an integrated campaign which works towards the desired consumer action. Failure to
for the “left hand to know what the right hand is doing” will not just result in less value for
marketers, a big concern in itself, but could cause negative reactions and spurned
media, damaging the brand long term.
Simple but integrated tactical steps can drive this synergy within organizations and
increase success of campaigns. Stay on equity, stay transparent and stay agile to
respond to consumer needs. The media world is complex, continuing to splinter, and
driven by creative and ever more demanding consumers. This requires business leaders
to be insightful and create new frameworks to embrace the multitude of access channels
to those consumers if businesses wish to remain relevant in their consumers’ lives.
-C -
Readiness Check-list Brand
Website Preparedness
Ad Mentioned on Brand Front Page
Ad Video on Brand Site
Separate Website for Ad
Availability to Provide Feedback for Ad
Ad-Related Mobile App
Search
Ability to search for ad on Brand Site
Brand Sponsored Google Ad Links (SB)
YouTube in Ad’s Google Results (’10)
Ad Presence on Brand’s Wikipedia Page
Social Networking
Official Brand Facebook Page
Official Brand Twitter Handle
Official Brand YouTube Channel
Readiness Rating:
Readiness Check-list Brand
Website Preparedness
Ad Mentioned on Brand Front Page
Ad Video on Brand Site
Separate Website for Ad
Availability to Provide Feedback for Ad
Ad-Related Mobile App
Search
Ability to search for ad on Brand Site
Brand Sponsored Google Ad Links (SB)
YouTube in Ad’s Google Results (’10)
Ad Presence on Brand’s Wikipedia Page
Social Networking
Official Brand Facebook Page
Official Brand Twitter Handle
Official Brand YouTube Channel
Readiness Rating:
©2010, The Nielsen Company
Blackshaw “Media Mix Modeling 2.0” 13
About the Author
Pete Blackshaw, EVP of Digital Strategic Services, Nielsen
Pete Blackshaw, whose professional background encompasses public policy, interactive
marketing and brand management, is Executive Vice President of Digital Strategic
Services for Nielsen. Pete’s strategy group works with many of the world’s top brands
and corporations to develop cohesive, consumer-centered digital programs and
strategies. A 2010 grand prize recipient of the ARF’s “Great Mind” award, he is the
author of a recent book by Doubleday entitled “Satisfied Customers Tell Three Friends,
Angry Customers Tell 3,000: Running a Business in Today’s Consumer Driven World,”
and writes a bi-weekly column in Advertising Age centered around the book’s themes. A
former award-winning interactive marketing leader at P&G and founder of consumer
feedback portal PlanetFeedback.com, Pete co-founded the Word-of-Mouth Marketing
Association (WOMMA). He is also the Chairman of the Board of the National Council of
Better Business Bureau and in that capacity also sits on the National Advertising Review
Council. He’s a recipient of “industry achievement” recognition by both Ad-Tech. He
advises a host of non-profit organizations on digital strategy including the United Way of
Greater Cincinnati, National Underground Railroad Freedom Center and the Cincinnati
Youth Collaborative. Pete, his wife Erika, and their three children live in Cincinnati, Ohio.
Pete is a graduate of Harvard Business School and the University of California, Santa
Cruz.
Other Contributors
Nina Stratt, Senior Analyst, Measurement Science, Nielsen
Alka Gupta, SVP Research, IAG, Nielsen
Kim Cox, Senior Analyst, Buzzmetrics, Nielsen
For more information on Nielsen Buzzmetrics or Nielsen in general, please contact Josh
Hammond at (859) 905-4973 or [email protected]