Social Influence Media by Fluent

Contents

A Letter from the Razorfish Global CEO 2

Introduction 4

Research Insights
Introducing the Razorfish Social Influence Marketing Survey I Shiv Singh 8

Measuring Social Influence Marketing
Introducing the SIM Score I Shiv Singh 38

The Future of Social Influence Marketing
Can Social Ads Do Better Than Display Ads? I Chris Bowler 40
Viral Marketing through Social: No Free Lunch I Greg Pomaro 42
Have Social Graph, Will Travel I Andrea Harrison 45
Social Media: The Last Quarter Mile of Customer Relationship Management I David Baker 48
Ten Ways to Make the Twitterverse Work for Your Brand I Diana Stepner 50

Conclusion 52

1

A Letter from the
Razorfish Global CEO
Your audience is skipping your TV spot with a DVR. They’re talking about your product on Twitter.
They’re chatting about you on Facebook. They’re searching for you on Google. In a world that is
increasingly empowered by social media, connected by screens, out of your control and enchanted
by innovation, all that matters is the story your customer tells about your brand — your brand’s value,
in 140 characters or less. Is it a good story? A bad story? Or just no story at all?

We respectfully suggest that what you say — or your agency says — about your brand or your product
matters less than what your customers say about you. And what matters most to them is what your
brand does.

Does your product delight them? Does your service annoy them? Are you useful and new, or boring and
difficult? Forget the funny tagline or the award-winning TV spot — what does your brand do for your
customers? If the answer is “I don’t know what you’re talking about” or “Not much,” then
you can stop reading now. But if you’re interested in brand innovation, if you’d like to transform your
brand into a new set of products, services and experiences, if you’d like to get your brand to stop
talking and start doing, then Fluent: The Razorfish Social Influence Marketing Report is for you.

Read on. Then let’s do something worth talking about.

Bob Lord
@rwlord

2

What is Social Influence Marketing?

Social Influence Marketing (SIM) is about employing social media and social
influencers to achieve the marketing and business needs of an organization.

Social Influence Marketing is about recognizing, accounting and tapping into the fact that as your
potential consumer makes a purchasing decision, he or she is being influenced by different circles
of people through conversations with them, both online and off. It is not enough to market to the
consumer anymore; as a marketer you also have to market to each individual’s social influencers
throughout the marketing funnel.

3

Introduction
Why does the world need another report on social?

At Razorfish we wondered what we had to offer our clients that they aren’t reading already when it
comes to one of the hottest topics in marketing — Social Influence Marketing. Here are two reasons
why we think Fluent: The Razorfish Social Influence Marketing Report is a must-read:

• We believe that we live in a world where brands can’t simply push messages anymore. Brands
must do. They must engage with their customers (and across every platform, channel and
device). We also believe that Social Influence Marketing has a large role to play in this world
where actions speak louder than advertising. But marketers must examine the role of social
through the same lens as other forms of marketing for social to be taken seriously. With this
report, we’ve set out to study the relationship between influencers, the different stages in the
marketing funnel and brand affinity across different industries. We believe no one else has
studied the role of Social Influence Marketing in this manner.

• As brands seek to do versus push, they’re not going to differentiate between online and offline.
And even more so than in the past, they’ll want to measure what their brands do. So we’ve also
looked at how trust works across the different platforms online and offline. With our partners TNS
Cymfony and The Keller Fay Group, we’ve studied how brand sentiment varies by industry and
by channel (online versus offline) to define what we refer to as a SIM Score — a single metric that
every brand will need to index itself against on an ongoing basis.

4

As Social Influence Marketing touches every part of marketing and every dimension of an organization,
we need to examine it more strategically. You’ll see this at work in every one of the sections that make
up this report, which include:

• The Razorfish Social Influence Survey, which unearths the importance of social media in
influencing purchase decisions.

• A look at how social features are becoming integrated into online display advertising.

• A feature on how social media is becoming both a paid and unpaid distribution mechanism
for advertising content.

• A piece on how tools such as Facebook Connect are moving the social graph out onto the Web.

• An introduction to the SIM Score and what it means for marketing.

And, of course, no report on Social Influence Marketing would be complete without a look at the micro-
blogging phenomenon, Twitter. So we’ve also included a guide to how Twitter can be used to enhance
your brand.

We hope that after reading this report, you’ll have both insights and tools to put social media to work
for you and your company.

5

Research Insights
Introducing the Social Influence Marketing Survey:
Connecting the Dots Between Social Influencers,
Brand Affinity and Purchase Decisions

Shiv Singh, Vice President & Global Social Media Lead, @shivsingh
Razorfish Social Media Leads

Today’s digital consumers are rapidly adopting and integrating social media into their everyday lives.
Previously, Razorfish shared our hypothesis* that the way people are influencing each other online is
giving rise to a whole new form of marketing that we call Social Influence Marketing (SIM). To better
understand the relationship between social influencers, brand affinity and purchase decisions across
different industry verticals, we conducted the Razorfish Social Influence Marketing Survey.

Razorfish surveyed 1,000 consumers split evenly between active social network users and a sample
drawn from the general population** to test for variations in responses between them (participants
who had never used a social platform were screened out). No significant variations in responses were
ascertained. Concentrating on the 18-55-year-old age range, the panel had equal gender representation.
Fifty-six percent (56%) of the panel respondents reported spending over $50 a month online. We also
analyzed past external studies on the topic and reviewed data from previous studies conducted by us.

8

It’s important to note that we found no variations in the responses among the people who identified
themselves as active users of social networks and those who use social media less frequently. In other
words, as you study the survey responses, note that social influencers and social media have an impact
on the general consumer population — not just a small elite of social media enthusiasts.

We uncovered a number of conclusions that are discussed in detail here, but even more importantly, our
findings have some significant implications for marketers, among them: traditional top-down branding
will become increasingly impotent as social media grows. Consumers continue to rely on personal
networks to learn about products and services. Consumers are shaping brands as much as brands
themselves are. Brand management will require greater transparency and a stronger connection to
consumers than ever before. Today, consumers do not have complete trust in the marketing efforts
of brands on the social platforms — making the brand management tasks all the more difficult.

Please read on for more detailed findings, grouped around principal themes ranging from the impotence
of top-down branding to social influencers driving brand affinity.

Top-down branding will become increasingly impotent

Building upon previous studies, we find social network membership continuing to grow, with 80 percent
of respondents reporting that they belong to between one and three social networks, and 40 percent
reporting being active members of two. This suggests that people are choosing to concentrate their
networks instead of spreading themselves too thinly, and that as people choose to go where everyone
else goes, preferred online communities are emerging. This will potentially result in further consolidation
of social media properties in the future. This trend also maps to academic research, which demonstrates
that users gravitate online in groups and move between social platforms in groups as well.

Independent of which social media properties consumers are choosing, results suggest that the massive
amount of time consumers spend interacting with each other on social media sites continues unabated,
with younger users spending a significantly larger amount of time on social media sites than their older
counterparts. Among members of the generic sample, in which 60 percent are under age 37, 20 percent
of respondents spend six hours or more per week on social media sites versus 51 percent of those from
the social media sample, in which 77 percent are under age 37.

*See Razorfish’s 2009 FEED: The Razorfish Consumer Experience Report and Digital Outlook Report for more on digital consumer
behaviors and trends in Social Influence Marketing (SIM).
**The social media sample is made up entirely of people on social networks, while the generic sample is a more standard
consumer sample of people who use social media less frequently.

***Word clouds used in this report generated in wordle.net
9

Human connection is still the primary reason that people venture onto social media sites, but contribu-
tions to social media such as blog posts, and consumption of product and service recommendations
within social media, is commonplace and occurs with much more frequency than expected.

A significant percentage of respondents labeled themselves as contributors to social media, with 71
percent saying they share a product, service or restaurant recommendation with others online at least
every few months (see Figure 1). Twenty-nine percent (29%) of respondents report sharing their product
views online at least every few weeks, while just 10 percent report making such contributions at least
every few days.

How frequently do you share recommendations online?

Figure 1

Yet, when respondents were asked if they sought out opinions about brands through social media,
a full 62 percent said no. Conversations about brands, products and services are increasingly woven
into the interactions of social networks as a means to connect with others, and these conversations
have great influence even though people aren’t consciously asking about brand opinions. Furthermore,
consumers do not always realize how much influencing they are doing and how much they are being
influenced when they have conversations about brands across social platforms.

This is creating a fundamental shift in the relationship between consumers and brands; ownership of
the brand no longer resides in the hands of the brand itself, as consumers and potential consumers are
beginning to shape brands as much as the brands are shaping them. As brands are being defined in real
time by an increasingly vocal audience, brand management will require greater transparency, access and
response than ever before to connect with consumers in the social space, and to provide consumers
with a return on emotion to maintain affinity and loyalty. Traditional top-down branding will become more
and more impotent as social media grows.

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Implications for brands

• Brands must socialize with consumers. It won’t be enough for brands to craft powerful
messages and push them through different media channels. They will need to participate
directly in conversations with consumers and provide more meaningful value exchanges.
And they will need to do so in ways that increase their relevance and value in the eyes of
their consumers — or the brands will be completely ignored.

• Brands must develop a credible social voice. Regardless of the industry, brands will need to
focus on developing credible voices for SIM. These voices will need to be more engaging,
personal, humble, authentic and participatory than traditional advertising messages.

• Brands must provide a return on emotion to their consumers. Presently, loyalty between
consumers and brands is asymmetric. The more consumers sense a symmetrical relationship,
the more loyal they will be. Social media is a great tool for building symmetrical brand relation-
ships, in which both the brand and the consumer reap equal returns from their relationship.

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Influencers drive brand affinity

If control of the brand no longer resides completely in the hands of the brand itself, what are the
guideposts and markers to help brands join the conversation? To answer this, we looked at how
consumers are influenced by social media as they move through the marketing funnel, as well as
the frequency of consumer interaction with branded content and the types of brand affiliations that
consumers gravitate toward within the social media landscape (see Figures 2 and 3).

Known peer influence tops the list, but social media — including corporate and independent blogs
produced by key influencers — and user-generated content (UGC) from social influencers, play an
influential role that meets or beats traditional marketing efforts.

When asked how certain sources influence respondents in the awareness, consideration and action
phases of making a purchase, respondents consistently attribute strong to heavy influence to word-of-
mouth from known peers, both online and off. This bears out across all phases, with influence nearly
doubling during the awareness and action phases, as compared to the consideration phase. As for other
forms of influence across social platforms, they exhibit a different level of influence depending on where
they are in the marketing funnel.

In terms of brand perception during the awareness phase, independent blogs play a moderately influ-
ential role, trailing peer influencers by 31 percent. Interestingly, UGC (videos and photos related to the
brand on social media sites) from social influencers were just about as influential as corporate blogs.
Both exerted more influence on brand perception than anonymous peer reviews, which registered only
slight influence: 12 percent said they had some influence versus them having no influence at all.

During the consideration phase of a purchase, known peers still top the list, but the strength of their
influence decreases and edges out UGC and anonymous peer reviews from social influencers by 10 per-
cent versus those who said they had no influence at all. Blogs exhibit little influence during this phase,
but independent bloggers beat out branded corporate blogs by a margin of over 50 percent.

Influence shifts again during the action phase, with influence from known peers regaining its substantial
lead position, with 74 percent saying they had influence. Anonymous peer reviews on social media sites
play only a slightly influential role in this phase, trailing known peers by over 50 percent. Independent
blogs from key influencers exhibit little sway during the purchase phase but here, they beat out UGC
and branded corporate blogs, which exert almost no influence at all.

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Key influencers in specific fields
have an outsized influence on brand affinity
and purchasing decisions on social platforms.
Key influencers typically have their own blogs,
huge Twitter followings and rarely know their
audiences personally.

Social influencers are everyday
people who participate in social platforms.
These users are typically in your consumer’s
Social Influencers Peer Influencers social graph and influence brand affinity and
purchasing decisions through consumer
reviews, by updating their own status and
Buyer Twitter feeds and commenting on blogs and
forums. In some cases the consumer knows
the social influencers personally.

Known peer influencers are the
closest to both the purchasing decision and to
Key Influencers
the consumer. They are typically family mem-
bers, or part of the consumer’s inner circle.
They influence the purchasing decision most
directly and have to live with the results of their
Figure 2
family member or friend’s decision as well.

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Role of influencers in the marketing funnel

Figure 3
*Percentages do not add up to 100 because neutral respondents are not accounted for in the above chart.

14


• Brands must know who influences perception. For your specific brand and industry, it is
important to know what type of influencer is affecting brand affinity and purchasing decisions
for your target consumers. This information should be used to focus your SIM.

• Brands must know the effect of influencers throughout the marketing funnel. It is essential to
know how influence changes in each stage of the marketing funnel. That information should
drive when to focus on which influencers and how to surface content from those influencers
on corporate-owned digital properties.

• Known peer influencers matter most at the bottom of the funnel. This group of family members
and/or close friends, both online and off, have the most dramatic impact on brand affinity and
purchasing decisions. Identifying consumers’ inner circles and how those inner circles influence
your consumers is key.

• Don’t forget the impact of offline influencers. It is getting more difficult to separate online peer
influence from offline peer influence as SIM blurs the lines between the digital and physical
worlds. As a result, it is necessary to remember the effect that offline social activity has on
purchasing decisions too.

Product interest drives engagement

As a testament to the growing popularity of Facebook fan pages and other brand affiliations, 29 percent
of respondents reported associating themselves with specific brands on social networks. This effect is
slightly more pronounced for the social networking respondents alone, at 36 percent, but overall this is a
sizable user segment that chooses to openly align itself with brands online. Fans of brand pages are not
simply forming these affiliations and then forgetting about them — 57 percent of respondents indicated
visiting these pages every few months or weeks, and 27 percent reported interacting with them every
few days or even daily.

When asked what triggers interaction with a brand page or blog, respondents ranked “product I want to
purchase” as the clear winner, followed by “friend or peer referral” and “interesting content.” Rewards
programs and promotional offers ranked last. The engagement of branded content based on friend or
peer referrals has crucial implications for Social Influence Marketing. Also of note is the indication that
peer influence and content once again outweigh corporate programs and act as triggers that make con-
sumers want to interact with brands. This also implies that respondents are purpose-driven when they
align themselves with brands, and that they do not “fan,” “follow” or “friend” brands simply for the sake
of doing so.

15

Currently, there are clear winners and losers when it comes to brand categories that consumers are
willing to interact with in a social context.

When asked about the appeal of specific categories of brand pages or corporate blogs, music and
entertainment was the clear winner, with 46 percent of respondents being likely or very likely to interact
with a brand in this category through a brand page or blog (see Figure 4). Technology and electronics
brands were next with 38 percent. The five remaining categories — retail and apparel, travel, home and
garden, automotive and financial services — presently suffer from a weak likelihood that consumers will
want to interact with them. Financial services fared the worst, with only 14 percent being likely to interact
with this brand category.

Propensity for social context interaction with a brand
based on category

Figure 4

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• Consumers look for brands that help them connect. People naturally gravitate toward brand
categories that can help them converse and connect with others, such as music and entertain-
ment, food and beverages, gadgets, arts, non-profits and causes.

• Brands aren’t connecting enough with consumers in a social environment. Our data suggests
that brands need to do a much better job of engaging consumers on social platforms, as
witnessed by the lukewarm reception and high level of indifference consumers have about
brands in social media; nearly one-third of respondents had a neutral position about the role
of brands.

• Fans of brands visit, and re-visit, those sites. Fan pages aren’t forgotten properties on social
platforms. Rather, consumers return to them from time to time and, as a result, brands must
put more effort into building, maintaining and encouraging conversations with their consumers
on them. They shouldn’t be treated in an isolated fashion either.

Trust and influence on purchase behavior

Trust plays a key role in influencing a consumer’s interest in purchasing a product. Our study looked at
peer influence and networks alongside a more traditional media mix of expert reviews, search listings
and advertisements to determine how and where trust comes into play (see Figure 5).

1. Recommendation from an offline friend (work, school, family, etc.)

2. Ads on TV

3. Recommendation from an expert’s online review

4. Recommendation from an online friend (Facebook, MySpace, Twitter, etc.)

5. Ads on a social network

6. Online video ads (shown before you can play desired video)

7. Online banner ads

8. Anonymous online consumer reviews and search engine results

Figure 5

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#1: Where’s the trust?

When asked whom they trust most when making specific product purchase decisions further down the
marketing funnel, respondents trust offline friends most, with 73 percent indicating near or complete
trust versus just 33 percent for online friends (see Figure 6). Interestingly, respondents placed signifi-
cantly more trust in TV ads and expert online reviews than in their online friends (52 percent for TV ads
and 47 percent for expert reviews versus 33 percent for online friends). Social network ads are next on
the list with 42 percent of respondents indicating some level of trust, edging out online friends and online
video ads, which both register approximately 10 percent over complete distrust. Online banner ads
exhibit an almost even distribution between distrust, neutrality and trust. Anonymous consumer reviews
and search engine results register strong to complete distrust.

NO TRUST 1 2 3 4 5 TRUST

INFLUENCER DELTA

Offline Friend 3% 3% 21% 44% 29% 66% over no trust
TV Advertisement 4 12 31 40 12 36% over no trust
Expert Online Review 3 11 38 36 11 34% over no trust
Social Network Advertisement 4 18 36 35 7 21% over no trust
Online Video Advertisement 4 23 36 31 6 10% over no trust
Online Friend 5 19 43 24 9 9% over no trust
Online Banner Advertisement 3 31 35 25 6 Almost even distribution
between no trust, neutral & trust

Anonymous Consumer Review 10 25 40 21 5 10% over no trust
Search Engine Result 6 27 45 17 5 10% over no trust

Figure 6

#2: What factors affect trust?

When turning to peers for help in making purchase decisions, respondents indicated looking for product
information and recommendations as opposed to specific brand recommendations. This was followed
by general reassurance about their decisions and finally, merchant recommendations. Overwhelmingly,
86 percent of users concurred that whom they trust is dependent upon the type of product, and 72
percent said the cost of the product is the biggest factor affecting whom they trust.

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There was virtually no difference in the sources people reported using when researching a high-cost
versus low-cost item (peers and online experts topped both lists), though expert reviews were ranked
slightly higher for high-cost items. Social network ads were ranked only slightly higher than online ads
in general, which received the lowest rank overall for both high- and low-cost items.

#3: How authentic or believable are brands in various
advertising media?

When asked about the authenticity of a brand depending on what medium it’s being advertised in,
respondents pointed to TV and print (magazines and newspapers) as the places where brands were
most authentic (see Figure 7). Respondents seemed to feel that in all other media categories — radio,
mobile, online banners, blogs and social networks — advertising by brands was inauthentic. Radio and
social networks were close to edging into the territory of authenticity, while mobile, online banners and
blogs rated well behind. It must also be noted that there was a high level of indifference among respon-
dents. This points to a huge opportunity for brands to redefine display advertising and underscores the
importance of ad units evolving to work with users’ behaviors in digital media, including social networks.

Figure 7

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#4: Small numbers visit social shopping sites, but they
have big influence

Just 18 percent of respondents said they have visited a social shopping site, and, of those, 69 percent
have made at least one purchase based on a recommendation they encountered there. Nearly one-
quarter of social shopping site visitors showed signs of habitually relying on their recommendations,
having made at least three purchases based on them.


• Brand must look at influence holistically. It is not enough to look at how social influencers affect
brand affinity or purchasing decisions just online or offline. As the two worlds blur, brands will
need to look at the role influence plays irrespective of the channel, platform or location of
that influence.

• Brands must focus on value exchanges. The most influence takes place around products and
services, and not in terms of affiliations with a particular brand. When practicing SIM, brands
should focus on the fact that their customers are seeking each other out as they make product
purchasing decisions.

• Brands lack significant credibility in the digital realm and on social platforms. Brands should
explore new ways of marketing on the social platforms that help build trust and credibility first
and foremost. It is no use devoting significant marketing efforts to this space unless you’ve
already figured out how to serve as a trusted brand. The social platforms require a new
marketing language — one that mustn’t be overlooked.

Brand stewards can’t ignore the role of influencers in
the marketing process

There’s no question that with every passing day, the importance of SIM grows. What was once a niche
phenomenon is now more deeply integrated into all digital activities and into marketing itself. Social
influencers play a strategic role in brand affinity and purchasing decisions, with different influencers
mattering more at different points in the marketing funnel.

Because of social media’s influence, marketers cannot assume that defining a strong brand and pushing
their messages out through a variety of channels is good enough. They must develop their own social
voices and become brands that participate or brands that do. That’s the only way they’ll have a place in
the new socially-driven digital world, where consumers influence each other about brands, products
and services.

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The research also highlights that it is getting more difficult to separate social influence online from
social influence in the physical world. And, with the advent of location-based mobile devices and
anytime, anywhere connectivity to one’s social graphs, offline conversations move online and then
off again, in a seamless, natural fashion.

Having said that, we do know reaching consumers across the digital landscape using social technolo-
gies, platforms and ad formats still remains a work in progress. Consumers do not trust messages from
brands on social platforms as much as they do those they see in print or on TV. They do, however, pay
attention to a brand’s presence in a social platform, though this attention level varies by brand category.
This tells us that consumers are influencing each other across platforms, channels and devices and that
they’re paying attention to how brands engage with them even though they’re not convinced the brands
are doing so in the right way. This presents a largely overlooked opportunity that smart brand stewards
will leverage as the influence of social media grows.

This survey reflects the insights of the Razorfish social media leads around the world. Continue
the conversation at goingsocialnow.com, and get in touch with Razorfish to learn how you can
use SIM to achieve your marketing and business objectives.

Questions or comments about the study? Contact Shiv Singh on Twitter @shivsingh

Special thanks to Malia Supe, Christine Costello and Alla Gonopolsky who assisted with the
research and analysis for this study.

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Measuring Social
Influence Marketing
Introducing the SIM Score

At Razorfish, we believe that each digital expression of a brand — be it a campaign, a Web site, a pass-
along widget, a blogger outreach program or a new presence on a social platform — can and should
always be measured.

But the social world demands a new and more pivotal measure that recognizes the participatory nature
of branding. Accordingly, in Fluent, we’ve introduced the Social Influence Marketing (SIM) Score, which
measures two critical attributes:

• The total share of consumer conversations your brand has online

• The degree to which consumers like or dislike your brand when they talk to each other about
you online — consumer sentiment

The first attribute on this list is a measure of reach. The second is a measure of likeability. The SIM Score
combines the two attributes to essentially measure favorable impact of your brand. In time, we believe
that a SIM Score will be as important as, say, a Net Promoter Score.

With conversation monitoring partner TNS Cymfony, in this chapter we present what the SIM Score
can be for brands in four industries, using specially scrubbed online conversation data from the last six
months of 2008. With this conversation data, we’ve established a benchmark index for each industry
using the brands that have been analyzed as a basis. We chose this time frame in order to average out
specific market events that may have caused unnatural spikes in the number of conversations related
to a specific brand or industry. We feel that every brand should be tracking its SIM Score on a weekly,
monthly, quarterly or semi-annual basis as it launches campaigns, new products, activates influencers
and engages with customers across the Web.

The conversation data has been scrubbed to prevent skewed data due to one particular source or
person, and includes conversations in the blogosphere, in discussion forums and uses all publicly
available data from the major social platforms such as MySpace, Facebook, Twitter and YouTube.

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This data excludes conversation data that is not publicly viewable and at no point in the collection or
analysis of this data was the privacy of any individuals compromised.

But it is not enough to analyze digital conversations alone — we recognize that digital doesn’t work in
isolation. We are living in an increasingly connected world, where separating digital from non-digital
channels is becoming harder. So, using data from word-of-mouth consultancy The Keller Fay Group,
we’ve compared the online share of voice and sentiment numbers to the offline equivalents for the auto
and financial services industries. This was done using The Keller Fay Group’s TalkTrack® proprietary
survey-based methodology. We see that in a period of time, the SIM Score is a composite of online and
offline conversations weighted for influence and measured, tracked and compared with tools appropriate
for that channel. What we have here is the first step in that direction.

Data sourcing methodology

TNS Cymfony captures social media content from a variety of best-in-breed content aggregators. These
partners pull from millions of blogs, and hundreds of thousands of message boards, forums and review
sites. They deliver to TNS Cymfony relevant content based on custom brand definitions designed by
TNS Cymfony’s linguistic analysts. All content is cleansed of spam using a proprietary six-step process.
TNS Cymfony then applied its automated tonality engine to determine sentiment. Results delivered indi-
cate the number of references found during the study period, and the percentage of references that were
positive, negative or neutral.

The Keller Fay Group collects data through an online survey. The sample is drawn from the largest online
consumer panels and is demographically balanced to census for ages 13–69. Respondents are recruited
to take notes on conversations in 15 marketing categories over the next 24 hours. They are re-contacted
24 hours later to answer standardized questions about the brands/companies talked about. The sample
size supports time series analysis with 700 respondents per week or 36,000 per year. This yields 350,000
brand mentions per year.

Here’s the formula we’re using to derive the SIM Score

SIM Score = Net Sentiment for the Brand/Net Sentiment for the Industry

The components of the above formula are:
Net Sentiment for the Brand =
(Positive + Neutral Conversations – Negative Conversations)
/Total Conversations for the Brand

Net Sentiment for the Industry =
(Positive + Neutral Conversations – Negative Conversations)
/Total Conversations for the Industry

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The following is an example of how we calculated the
SIM Score for GM using those formulas

Net Sentiment for the Brand:
Positive Conversations: 22,355
Neutral Conversations: 80,764
Negative Conversations: 19,127
Total Conversations for the Brand: 122,246

Positive + Neutral – Negative Conversations:
103,119 – 19,127 = 83,992

Net Sentiment/Total Conversations:
83,992/122,246 = 0.68

Net Sentiment for the Industry:
Positive Conversations: 399,431
Neutral Conversations: 1,465,720
Negative Conversations: 241,372
Total Conversations for the Industry: 2,106,523

Positive + Neutral – Negative Conversations:
1,865,151 – 241,372 = 1,623,779

Net Sentiment/Total Conversations:
1,623,779/2,106,523 = 0.77

SIM Score:
83,992/1,623,779 = 0.051 x 100 = 5

We also show the net positive sentiment in the formula below. While this number isn’t independently
reflected in the SIM Score, it is still valuable to see what the sentiment for a brand is when all the neutral
conversations are removed from the mix. And on a final note, we used net sentiment versus net positive
sentiment when calculating the SIM Score because we believe that a neutral brand mention is still
a favorable one in the eyes of the brand and should therefore contribute to a greater SIM Score.

Net Positive Sentiment = (Positive Conversations – Negative Conversations)/Total Conversations

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We looked at financial services, pharmaceuticals, media and auto industries (see Figure 8). Each of
these industries is represented by 5–6 brands, chosen based on criteria specific to themselves. Here are
the results on an industry level accounting for online conversations only. Later you’ll see specific results
for each industry.

Industry Total Number Net SIM
of Conversations Sentiment Score

Auto 2,106,523 77% 92
Finance 167,060 68% 6.3
Pharma 28,631 60% 0.96
Media 7,233 81% 0.33

Figure 8

The indexed SIM Score for the industry is calculated in a similar fashion as the SIM Score for a brand
but this time using all the conversations in all the industries as a denominator. The factors that positively
affect the SIM Score are the number of conversations in that industry in combination with the net senti-
ment. It is no use having many more conversations if the sentiment of them is negative.

The variances in the number of conversations in each industry indicate how discussion-worthy that
industry is. The average sentiment shows that financial services firms are still discussed in marginally
positive light, while more negative connotations are associated with pharmaceuticals. This is surprising
considering the fact that the financial services space underwent immense upheaval in the last months
of 2008. What is very clear though is that, based on the brands we analyzed, the auto industry indexes
the highest mostly by virtue of the large number of conversations that take place around that industry.

Finance

We analyzed conversational data representing six of the largest banks to determine how financial
services stack up as an industry (see Figure 9). The total number of conversations for finance was
167,060 over the six-month period.

Bank of America owns the share of voice but loses out to Wells Fargo and Capital One when it comes to
net sentiment. Not as many conversations about Bank of America are positive compared to these other
two banks. The data set also shows that a large number of the conversations regarding the banks are
of neutral sentiment too, which is surprising given what a tumultuous six months the banks had. Still,
because Bank of America has such a high share of voice, it has the highest SIM Score even though its

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net sentiment is lower. This also explains why JPMorgan Chase has the second highest SIM Score. In
the case of Wells Fargo, its share of voice is slightly lower than Citibank but, because it has more
favorable sentiment, its SIM Score is higher (15 versus 14).
Figure 9

Company Share of Voice Net Sentiment SIM Score

Bank of America 31.6% 66% 32

JPMorgan Chase 20.7% 62% 20

Wells Fargo 13.5% 71% 15

Citibank 13.6% 66% 14

Capital One 9.19% 69% 10

Wachovia 11.1% 62% 10

Figure 9

For the financial services space, we also used The Keller Fay Group to help us understand how online
share of voice maps to offline word-of-mouth. We mapped their offline share of voice and offline senti-
ment to our online data from TNS Cymfony (see Figure 10).
Figure 10

Company Online Offline Online Offline
Share of Voice Share of Voice Net Sentiment Net Sentiment

Bank of America 31.6% 33% 66% 66%

Capital One 9.19% 5% 69% 74%

Citibank 13.6% 16% 66% 55%

JPMorgan Chase 20.7% 17% 62% 64%

Wachovia 11.1% 16% 62% 50%

Wells Fargo 13.5% 14% 71% 73%

Figure 10

As the table above depicts, online share of voice corresponds quite closely to offline share of voice; the
amount people discuss a brand online is co-related to how much they discuss it offline, at least among

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these brands. Second, it is interesting to note that online sentiment is marginally more favorably than
offline sentiment in most cases. This might be because online sentiment is largely more traceable and
less private, making people more cautious in expressing a negative point of view. We believe that online
and offline share of voice and sentiment numbers for all brands will need to be looked at through a single
lens in the future. What we have here is the first step in that direction.

Pharma

For the pharmaceutical space, we took the largest DTC brands based on consumer media spend, and
analyzed the conversations around them (see Figure 11). We chose product brands instead of corporate
brands because they drive all the revenue in the case of pharmaceutical companies. The total number of
conversations over the six-month period for these product brands was only 28,631 showing that these
brands aren’t discussed as much as brands in other industries.

You’ll notice that Ambien has the greatest share of voice but loses out in terms of sentiment to Lunesta.
However, its significantly higher share of voice gives it a higher SIM Score. This is especially interesting
because both Ambien and Lunesta are sleep-aid drugs. In the case of Plavix and Lunesta, the higher
share of voice for Plavix is enough to balance out its lower sentiment numbers, giving it the same SIM
Score as Lunesta. This is an example of where the greater share of voice contains the damage through
lower sentiment numbers.

Figure 11

Media

For media, it was difficult to choose the appropriate brands to cover. The largest brands are titles and
not companies. The relative importance of these brands also varies dramatically by audience and loca-
tion. The largest titles aren’t always representative of the whole market either. As a result, we chose five
titles that have large readerships, while recognizing that they may not reflect the size of the market or the

29

sentiment for the industry. Still, the results are interesting (see Figure 12). The total number of conversa-
tions over the six-month period was 7,233.

Figure 12

Using these six titles as a sample, it is fair to assume that media brands typically are discussed in posi-
tive light when they are discussed. That’s not surprising as it’s the content within the media titles versus
the titles themselves that generate conversations. Condé Nast’s Glamour, by virtue of its highest share
of voice and only marginally lower net sentiment, beats out Hachette Filipacchi’s Elle for the highest
SIM Score.

The low conversation numbers present an opportunity for the magazines to be more active in the social
media space. These low conversation numbers beg the question, why are they so low especially when
they are so iconic and a large part of women’s lives?

Auto

For the auto industry, it was easier to choose which brands to benchmark (see Figure 13). The largest
auto brands together have significantly greater market share than all the other auto manufacturers. We
chose the corporate brand rather than the product brand as auto company reputations are built on the
corporate brands first and foremost. With product brands in a state of flux, given all the issues affecting
the auto industry, we also saw this as a more useful approach to take. The total number of conversations
over a six-month period was 2,106,523.

It is not surprising that Ford leads the share of voice metric with all of its various Social Influence Mar-
keting programs underway. In terms of net sentiment though, Honda is highest. With regard to the SIM
Score, Ford barely wins by virtue of its share of voice being the second largest and its sentiment just a

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few percentage points below Honda’s. All in all, even given the turbulence in the auto industry, people
still like to talk about the auto brands and do so largely in more favorable and neutral terms than in
Figure 13 light.
unfavorable

Company Share Net SIM
of Voice Sentiment Score

Ford 31.8% 76% 31

Honda 29.6% 79% 30

Toyota 18.1% 78% 18

Nissan 14.5% 79% 15

GM 5.8% 68% 5

Figure 13

As with financial services, we also looked at offline share of voice numbers for the auto industry using
Figure 14 data from The Keller Fay Group (see Figure 14).
research

Company Online Offline Online Net Offline Net
Share of Voice Share of Voice Sentiment Sentiment

Ford 31.8% 41% 76% 65%

Honda 29.6% 19% 79% 81%

Toyota 18.1% 24% 78% 80%

Nissan 14.5% 10% 79% 80%

GM 5.8% 5% 68% 39%

Figure 14

While not perfectly co-related, it is fair to conclude that there is a correlation between online share of
voice and offline share of voice. In the case of GM, Nissan and Toyota, the differences between the
online and offline share of voice are less than six percentage points. But Ford has significantly greater

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offline share of voice while Honda has significantly greater online share of voice. This could be related to
many different factors — from how much a brand advertises online to the number of dealerships across
the country to the total number of conversations. In future studies, it may be worthwhile to compare
online media spend to online share of voice too.

In terms of sentiment comparisons, Honda, Nissan and Toyota online and offline sentiments don’t vary
dramatically (all under 10 percentage points) but the differences for Ford and GM are startling. This
means that in the offline world, people speak a lot less favorably of those brands, especially in the case
of GM where there’s a 30 percent difference between net sentiment online and offline with offline being
considerably lower.

What can we infer from the analysis?

First, and without a doubt, the auto industry has a far greater presence in conversations online than any
other industry. Those conversations help the industry, resulting in a SIM Score of 92. Coming a distant
second is the finance industry with a SIM Score of 6.3. This is followed by pharma with a SIM Score of
0.96 and finally media with a SIM Score of 0.33.

Within each industry, we can observe that negative sentiment affects the total SIM Score of a brand. It
is not enough to have a high share of conversation — you have to have high net sentiment numbers too.
The comparisons also show that there typically aren’t significant differences between the sentiments for
the various brands. This is largely because brands are mentioned in a neutral context more often than
they are in a positive or negative one. Still, the net sentiment does change the SIM Score ranking of
some of these brands.

Surprisingly, the tumult in the auto industry hasn’t affected its net sentiment numbers or its SIM Scores
in the same way that it has affected the finance industry. This could be for several different reasons,

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one being the fact that our auto industry analysis includes foreign brands as well. The foreign brands
do have higher net sentiment scores than the domestic brands. This doesn’t always translate into a
higher SIM Score though because they’re not discussed as much. The media brands are discussed
mostly in positive light resulting in strong SIM Score numbers. However, the choice of brands largely
influences how the category does, and had more polarizing brands been put in the mix, the numbers
could have looked very different. In the case of pharma, net sentiment is lowest. When consumers
discuss these brands, they talk about them in less favorable light compared to brands in other indus-
tries. Could this be because side effects are being discussed? Further analysis would be required to
understand the reasons.

With regard to the online and offline comparisons for the two industries we studied, more often than not
we see a direct correlation between online share of voice and offline share of voice. This is a fascinating
find given that nowhere before have we seen these numbers correlated for so many brands together. It
further cements the conclusion that activity online doesn’t represent a fringe niche of the mainstream but
increasingly reflects the mainstream physical world.

Barring a few companies, we also noticed a fairly close correlation between online net sentiments and
the offline net sentiments. Conversations typically have similarly positive and neutral sentiment online
as they are offline. The one caveat here is that a much higher percentage of conversations offline are of
positive sentiment only versus online. Note, this conclusion can only be drawn by looking at the raw data
(not reflected in the tables here).

With regard to further analysis, this study begs the following questions:

• What impact does advertising in all the different mediums have on a SIM Score?

• How does a SIM Score affect overall brand affinity and purchasing decisions for you?

• What does it take to put a program in place to manage one’s SIM Score effectively?

• Can a SIM Score that accounts for both online and offline be developed holistically?

What about all the other metrics?

Outside of the SIM Score, which tells you your brand health in the social Web, it is important to think
about social influence measurement in the context of specific business, marketing, program and
campaign objectives.

Depending on the specifics of the objective, the measurement framework may look different. However,
it doesn’t have to be completely different from anything else you’ve done; you’ll probably realize that
a lot of the measures you’ve been using elsewhere in the digital realm apply to SIM too. For example,

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your success metrics in social media could be any of the following:

• To increase sales at your ecommerce site

• To reduce your support costs

• To see how many influential people tweet about something related to your brand

• To turn up the volume of conversation about your brand

• To increase the number of unique visitors to your Web site

• To tally the number of people who use a specific coupon

• To generate increased awareness within a specific audience

What comes next?

First and foremost, you need to establish your SIM Score relative to your competitors and benchmark
it against the average for your industry. You must then track your SIM Score on an ongoing basis
and note how it changes each time you run a digital or offline advertising campaign, a social marketing
effort, a product launch or make some other major announcement. Managing your SIM Score is going
to be important.

Second, you must try to map your SIM Score to your offline share of voice and sentiment. Those num-
bers matter too — as much as your SIM Score. You need to pay attention to why one may trail the other
and how sentiment in one domain can impact sales most directly. The methodologies aren’t perfect as
yet, but the approach used above is an important step in that direction.

And third, you must put tactical Social Influence Marketing measurement objectives in place at the start
of any online effort — whether it is a display banner campaign, a SIM campaign or a blogger outreach
program. The success of your program should be measured against these objectives.

Continue the conversation at goingsocialnow.com, and get in touch with Razorfish to learn how you can
use SIM to achieve your marketing and business objectives.

Special thanks to Andy Fisher, VP & National Analytics Lead, who provided valuable feedback on how
best to compute the SIM Score.

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The Future of Social Influence Marketing

36

The Future of Social
Influence Marketing
Can Social Ads Do Better Than Display Ads?

Chris Bowler, Vice President, Social Media Lead, Central Region, @brass612

Advertisers are on a never-ending quest to figure out the best way to reach their customers. In the online
space, where advertising can be quickly measured and optimized, we’ve seen a rapid evolution from the
most basic ad formats to increasingly complex and targeted messages. The very first days of banner
advertising quickly jumped from mere static banners, to animation, and then to ad units offering greater
functionality such as drop-down menus, forms and email fields. Next came rollovers and expandable
units, which continue to be popular with advertisers, followed by streaming video, audio and high-end
motion graphics made possible with broadband.

But online advertisers continue to be frustrated because consumers aren’t always paying attention,
even with these evolved formats. In fact, many of the traditional display advertising formats suffer from
low engagement scores — as measured by click- and view-throughs. To combat this problem, advertis-
ers typically drive up media impressions to overcome low ad performance, and then constantly optimize
the creative to raise engagement. But in the end, marketers realize only miniscule returns from the audi-
ence who was exposed to their advertising.

Can social advertising improve the experience?

We now have a new development in online advertising — one that could make display advertising more
interactive, in part, because it can even displace the marketer as the source of the messaging. It’s called
social advertising. Social ads are about infusing social content and a user’s social graph directly into
the ad unit itself. Now, advertisers can build social features into the ad units — when and where appro-
priate. And the range of possibilities is as broad as the social media space itself. Some examples?
How about starting a conversation within the ad unit? Or having the ad unit show just-posted ratings
and reviews? Why not have a social ad make it possible to send a coupon to a friend for a store sale

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and invite that friend along on the shopping trip? Or have an ad unit tell you that your friend recom-
mends a specific movie?

It’s important to note that social advertising is not simply display advertising on social networks, which
is merely putting older ad formats in a social environment; the problem with those, of course, is that
the ads distract people from socializing. By contrast, social ads extend and enhance the social experi-
ence — and these experiences can be placed in both social and non-social environments.

Both the brand and the consumer can upload content in social ads, the brand can push content from
a Web site into the ad unit, such as publishing the latest product reviews, or the consumer can use the
social ad to begin an interactive experience with a brand. Think about uploading a photo into a social ad,
which then drops into the community page on the brand’s Web site.

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What is the promise of social ads?

By infusing social features into the ad experience, social ads break the traditional advertising mold
and offer marketers the promise of higher viewership, engagement and response than standard
display advertising.

Let’s look at four characteristics that can make social ads special:

Relevant. Think about product ratings and reviews. A social ad that carries the latest product
ratings takes on a “real time” dynamic, which heightens interest in the ad. Social ads also become highly
relevant when the ratings are contextualized to the placement itself. For example, a hotel brand can
place social ads on travel sites where the audience will be receptive to reviews about its hotel properties.
Better yet, consider an even more relevant fit, such as when a social ad appears on a ratings site like Tri-
pAdvisor, a hotel comparison site where consumers are actively seeking hotel reviews and information.

Actionable. What if you could enter a photo contest by uploading a photo directly into an ad
unit? There’s no need to click over to a contest Web site and register — all of this could be captured
within the social ad. Of course, the photo upload could be viewed at the contest Web site, along with
other entries made by contestants all over the Web. In this way, social ads power the contest versus
the contest Web site relying on generating traffic for its success. Online promotions companies might
take note.

Interactive. Social ads can provide a means to directly interact with a brand or its customers.
A social ad could support a chat feature within the ad unit, providing direct customer service. Ecom-
merce retailers and high-touch service providers might find that this feature appeals to their customers
and even differentiates them from the competition. What’s more, these interactions could be archived on
a branded Web site or microsite, where customers can continue the conversation.

Personal. Finally, and here’s the really exciting part — as social advertising matures, there is
potential to offer greater degrees of personalization within the messaging itself, where the unit integrates
with social networks. Some of this is being done already on Facebook, where an ad unit tells all of your
friends that you are a fan of a branded page. But imagine going further. What if you could view a trailer
for a new movie and then invite a few friends on Facebook to go see it — all from the ad unit? What if
the advertisement was targeted based on social graph data? This is truly where advertising meets the
social graph.

Whether the advertising goal is higher viewership, engagement or response, social ads now offer
marketers a new way to break out of the standard display advertising model.

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How social ads can be powered

In partnership with Razorfish, the community software provider Pluck has developed a complement to its
popular SiteLife product, called AdLife, which is one way social ads can be powered. AdLife can link the
social content on a branded community and publish it into the social ad unit. As mentioned earlier, social
content and conversations can begin in the ad unit and then be posted onto the destination site. AdLife
allows for various levels of approval and moderation so that the marketer can determine the best policy
to manage the social ad program.

Other companies like SocialMedia, Buddy Media and Brickfish are delivering powerful social advertising
solutions as well. A recent example comes from Nestlé’s Juicy Juice, created by SocialMedia, which in-
tegrates with Twitter. The banner unit asks questions such as, “How do you stimulate your child’s mind?”
and users can answer with short messages, or tweets, directly in the banner ad. The ad unit uses Twitter
to post the answers into the unit. If the user is logged into Twitter, the answers appear immediately; if
not, the user is directed to log in. Posts can be moderated by Nestlé and appear in users’ Twitter feeds.

We’ve only begun testing and deploying social ads, but the future is bright. Right now, there are a few
limitations to what can be distributed — for example, video and audio formats are not sharable within
social ads. But it’s only a matter of time before this will be possible. And, while the social content space
evolves, we’re likely to see a greater degree of targeting for social ads. What if we could publish ratings
and reviews within ad units to specific audiences? Or even to key influencers who are fans of specific
products? What if we could distribute product reviews to bloggers to spread the word about an exciting
new product launch? And what about when social ads aren’t restricted to the online space, but become
experiences across other devices and platforms, such as mobile and video-on-demand?

Just as traditional online display advertising has evolved with more sophisticated formats, so too will
social ads. But if we, as agencies and marketers, do it right, we will let consumers drive this evolution
and tell us the experiences they want — allowing marketing to go beyond its current limitations.

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Viral Marketing Through Social: No Free Lunch

Greg Pomaro, Vice President, Media, @gpomaro

Spreading viral marketing messages through social networks looks pretty darned cheap — almost free,
doesn’t it? Most social networks have meager business models as of yet, if any. And they can some-
times be great conduits for disseminating marketing content, with the user as the unpaid messenger.
Other than production, where’s the cost?

But there’s no such thing as a free lunch, even in the social world. Even if you’re fortunate enough to
have a message so compelling that users willingly distribute it for you.

As social media networks continue to work on monetization models, they are coming up with ways to
help marketers, while helping their bottom lines too. Even marketing content that is distributed for “free”
requires paid help to get noticed in the increasingly fractured Internet landscape.

In this article, we look at how the money is flowing in social media, from the perspective of both the
social networks, and the marketers who want to utilize them.

Social networks hunt for their killer, money-making app

There are many issues facing social media platforms from a revenue perspective. If you are YouTube,
how do you generate revenue on all that user-generated content when most advertisers are too wary of
negative brand associations — either from the content itself or the commentary associated with it — to
risk significant ad buys?

Well, you experiment — by isolating “brand-friendly content” in its own walled garden, trying video over-
lays, interstitial ads and companion ads, all of which YouTube is doing. In addition, video contests have
become a huge business for YouTube. These contests provide a useful example of a pattern we think
we will see more frequently from social networks: finding what works for marketers and then creating
ad products and packages around it. YouTube now has fairly turn-key plans for any marketer who
wishes to conduct a video contest or submission program, complete with ad-buy minimums to
promote the contest.

YouTube saw a popular activity and put gates around it to create a revenue stream. Similar revenue
challenges and solutions can be found in other content-driven social environments like Flickr, Kyte
and Revver.

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Social networks like Facebook, Bebo and MySpace face a different challenge. The content on their plat-
forms is the conversation between friends. So, unlike Flickr or YouTube, community doesn’t form around
content. This makes the monetization challenge very different. So how can you monetize this without
alienating the community? How can you keep brands safe and protected?

Again we see new, experimental approaches. LinkedIn offers marketers opportunities for polling,
featured questions and even employee profiles (imagine an ad that links to the profile of a regional
sales exec in your company as opposed to a company Web page). Facebook offers engagement
ads that allow for polling and virtual gifts and potentially other ways for brands to become relevant
additions to the site’s centerpiece: the news feed of updates from friends, groups and fan pages.
These are all responses to other brands that have had success using these approaches, by
operationalizing those experiments.

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For marketers, free social media distribution
isn’t really free

The avenues for disseminating marketing content described here are somewhat traditional in that the
marketer pays money to the content provider to promote the message. To be successful at using the free
distribution also available through social networks requires a seeding service. Such services expect to be
paid for their efforts at goosing distribution of marketing content.

Many marketers would love to believe that they could be the next viral hit, creating an entire meme with
one well-crafted video or application that catches fire and captures the attention of millions of people,
passed throughout innumerable social graphs — without any further effort on the part of the advertiser
than producing the video or application itself.

I can think of no single case where this was intended and then actually happened. In fact, the always
risky “post and pray” approach has only grown riskier with the explosion of content and other network-
ing activities; it is even less likely to produce results today. But what if you could give your app or video
a boost? Make lots of little “starter fires” in the hopes of sparking the next firestorm? TubeMogul, Gigya
and Jun Group are among the companies who do just that.

Marketers can also leverage both the free distribution channel and the paid channel by posting to net-
works like YouTube, MySpace and Facebook, with an accompanying media buy or premium placement
to spark viewership. The effectiveness of such programs is contingent upon a number of variables, such
as the content, the intended audience, whether it has shareable elements and so forth. Most importantly,
this activity can be measured. Tools such as Razorfish’s Generational Tag technology (described in the
2009 Razorfish Digital Outlook Report) can model the speed of distribution and the impact of paid versus
passed viewership and subsequent actions.

Social media is still a marketing investment

No marketing activity is free. Whether using paid media placements to promote or activate community
programs, seed viral content, host discussions or pay for exclusive access to communities or data,
marketers need to realize that some investment is required to generate value.

These media investments may not look like classic paid media on the surface, but they are marketing
spend, ultimately intended to drive revenue results in the same way as older forms of marketing invest-
ment. The most effective programs will be ones that combine multiple approaches of investment, and
new forms of measurement to create and measure value in this evolving landscape.

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Have Social Graph, Will Travel

Andrea Harrison, Strategy Director, @190east

First we had Social Networks, then the Social Web. Now we are being inundated with the newest buzz-
word: Social Graphs. The reality is that social graphs are not new and didn’t originate as part of some
big Web 2.0 revolution. Since cavemen (and women) roamed the earth in packs and lived in communal
caves (or so 2001: A Space Odyssey would have us believe), there existed the social graphs that con-
nected us to one another. What the Internet — or more specifically, the social Web — has done for social
graphs is make them much more actionable and scalable.

Razorfish defines the social graph as the network of personal connections through which people com-
municate and share information online. These personal connections can be based on common interests,
professional experiences and offline social relationships. Examples of social graphs online include: col-
leagues on LinkedIn, a Google Chat address book and high school friends on Facebook. Each of these
examples shows a social graph when put in the context of a utility for communicating and sharing mas-
sive amounts of content and data. They also generate larger and larger social graphs as the information
shared spreads across multiple touch points.

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The most revolutionary thing about today’s online use of social graphs is how new functionality and
open data standards have made them portable. Portable social graphs enable consumers to bring their
friends, contacts and preferences with them to different sites that enable social graph connectivity. Tech-
nology such as OpenID, Facebook Connect, Google Friend Connect and Microsoft Live have created
new ways for marketers and consumers to take advantage of their social graph as they travel the Web.
Recent announcements by YouTube, Xbox and Nintendo indicating their intent to implement Facebook
Connect on their sites and devices shows the growing acceptance of the cross-sharing of content and
social graphs. Compete.com estimates that over 64 million consumers used the service in the month of
May 2009.

We see three main opportunities for enabling portable social graph functionality on your Web site:

1. Quick registration

2. Improved social utility

3. Data, data, data

Quick registration

We’ve all been there: making decisions about requiring registration on our Web sites to ensure that we
collect as much information about our users as possible, while hoping they’re not one form field away
from abandoning the process completely. With portable social graphs, we can now ask our users if they
want to log in using existing credentials from, for example, Facebook. To make this possible, we as site
owners need to enable Facebook Connect on our site. This functionality and the underlying connectiv-
ity allows Facebook to access our customer’s log in information from Facebook and connect it to our
Web site. All the user’s profile information, friends, preferences and privacy settings come with them and
all they have to do is enter a username and password. We are now sharing this data with Facebook in
a friendly manner. We get to know more about our user based on their Facebook profile, and Facebook
knows everything the user does on our site.

Improved social utility

Another big benefit from enabling Facebook Connect is the ability to incorporate the same kind of social
utility applications that have made Facebook so successful. Status updates, polling, comments, tagging
and sharing can all be part of your Facebook Connect implementation. For example, when users are on
your travel site evaluating a vacation property, they can ask their friends to rate it and the request and re-
sponses are shared in the context of your content. The responses can also be posted back on Facebook
in the user’s news feed along with a link to your site content. Content from your site, including the results
of polls, quizzes, transactions, etc. can also be published to your user’s Facebook Wall for all to see (and
link to). Your users can also see which of their friends are currently online and ping them in real time to

46

participate in viewing and interacting with your site. An observed side benefit to using portable social
graph technology for social utility is that the quality of user-generated content, such as message board
comments or uploaded content, improves as the user is now known and responsible for what they share.
Just as with quick registration, all the data from these interactions are now part of the user’s profile.

Data, data, data

One of the major benefits to marketers who enable portable social graphs is the seemingly endless
amount of behavioral data that can be collected on customers and their friends. This is a major advance-
ment over the traditional single user data silo that we’ve used in the past. Our customers have never
been solitary consumers of our content and products in the real world, so why should we treat them
that way online? As much of our research shows, more and more consumers are turning to their friends
and the social Web to make decisions about purchases. They are looking to friends to make recom-
mendations about what sites they should read, videos they should watch and music they should listen
to. Enabling portable social graphs allows marketers to assemble user profiles of customers and their
habits, including whom they turn to for recommendations and whom they trust most when they’re mak-
ing decisions. It is a massive data dump and marketers should be ready to do the heavy lifting to analyze
the endless stream that Facebook and other technologies will send their way. In the end, this new data
approach will forever change how we think about customer profiles and the role of social graphs.

Post to wall functionality
Example: Facebook

47

Social Media: The Last Quarter Mile of Customer
Relationship Management

David Baker, Vice President, eCRM Solutions, @Social_C_R_M

Years ago I penned an article for MediaPost entitled “The Last Mile of CRM.” I wrote about the evolution
of customer relationship management and the emergence of email marketing as an integral part of the
customer lifecycle. Email was the last mile of CRM: the right message, the right time, the right target.
With the evolution of social media and Social Influence Marketing, the new view of the customer experi-
ence is changing. So too are the demands of the channels to consolidate this view based on the discrete
experiences of the customer with your brand. So, if email is the last mile of CRM, social CRM is the last
quarter mile.

The effect of social media on consumer behavior, in itself, has been revolutionary. Of course, the skep-
tics and measurement-minded professionals scoff at the vagueness of measuring influence, weighing
customer satisfaction by positive mentions and favorable opinions shared in an unstructured social
environment. But the CRM-minded are taking new views into social CRM and expanding how they view
customers and the influence, reach and impact of advocacy on their brand and consumption patterns.
The incorporation of this view doesn’t change how CRM organizations view the customer, but it does
add a new dimension of how they put value on a customer. Traditionally we put monetary valuations
specific to customer value, consumption and cost of marketing. With social CRM, the cost of reach is
changing this traditional thinking. Those that are not as valuable from a currency perspective may have
incredible value from a reach perspective.

Take, for example, Starbucks. Let’s say a typical consumer buys a $4 latte every day of the week.
From a typical CRM perspective, we may assign high value — based on transaction size, frequency
and core segments — to this customer. But, does a consumer who buys black coffee, but spends 10
hours a week in a Starbucks have more value to the business? From a pure monetary perspective, this
customer may have a lower financial value to the business. From a social CRM perspective, this person
is the connector and the evangelist of the brand. They create events that center around the brand; in this
case, they are in the brand 10 hours a week, meet people there and have made it part of their personal
and professional habits. The brand influence value may be staggering compared to someone who just
picks up a latte on the way to work.

The new question for marketing departments is how do your traditional views of customer value change
when you infuse social influence, social connectors and social evangelism to the equation? How does
digital social involvement change this valuation?

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Today, we know who the consumer is; we know some level of consumption pattern; we potentially know
the psychographic variables that motivate behaviors, and we may even know your preferred channel
of interaction. In traditional CRM, marketers struggle with attribution and what channel or combination
of channels drive conversion, profit and the best experience. We are just beginning to learn about the
social consumer, their preferences to social sites, usage patterns, social tools and the connections they
maintain for various reasons — and how prolific they are in these environments. The monitoring tools are
improving, featuring social connect features that allow CRM marketers to target customers in a tradi-
tional way and provide content, events and brand experiences to be shared in the social environment of
choice. The profiling tools are becoming more valuable in understanding which social tools and environ-
ments are being used, how many connections someone has and some level of generational influence
specific to certain events and experiences.

All of this makes it increasingly challenging to design programs, to optimize programs and to understand
the transactional value of “influence” and “reach.” From an eCRM perspective, operations are what drive
profit and value, and the new social CRM will challenge how content is created, the approach taken and
how it’s operated within today’s environment.

In a recent analysis of top email vendors, we revealed that over 70 percent of them have social media
integration in their 2009 roadmaps. The features range from simple sharing capabilities to fully integrated
creative and generational tracking layers. The platforms are evolving, from marketing automation plat-
forms and incorporating social campaign management, to using Web analytics platforms and third party
data services supporting views into reach and activity. Social CRM is here, but is your business ready for
the changes it will need to accommodate it?

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Ten Ways to Make the Twitterverse Work
for Your Brand

Diana Stepner, Senior Strategist, @dianas

On March 11, 2007, the start-up Twitter won the Web award in the “Blog” category at South by South-
west (SXSW) Interactive. At that time, it was predicted Twitter would disrupt instant messaging giants
Windows Live Messenger, Yahoo! Messenger, and AIM — if the site could manage its bandwidth issues.

Fast-forward two years, and Twitter has not replaced instant messaging or other social media offerings.
Instead, the short status updates (or “tweets”) of 140 characters or less are complementing, and often
being consumed alongside, other media — from TV to social networks to email.

In both the U.S. and the U.K., Twitter adoption began, of course, with early adopters, and then, with help
from the mainstream media in both countries, Twitter exploded nationally. In the U.K., it took actor Ste-
phen Fry on the show “Friday Night with Jonathan Ross” to introduce Twitter to the mainstream market.
In the U.S., it was the race to one million followers between Ashton Kutcher (twitter.com/aplusk) and
CNN’s breaking news feed (twitter.com/cnnbrk) in April, and Oprah Winfrey’s decision to join Twitter in
May (twitter.com/oprah), that caused Twitter to break into the broader public consciousness.

The Stephen Fry-inspired Twitter surge in U.K. Internet traffic meant that, at the time, it surpassed the
equivalent U.S. reach (0.024 percent of all U.K. Internet visits versus 0.020 in the U.S.). According to
Hitwise, Twitter then entered the U.K. top 100 most visited Web sites the week of February 2, 2009.
Twitter is now one of the fastest-growing sites in the U.K. with traffic tripling in 2009 — excluding
traffic from third-party applications and mobile sites.

The popularity of Twitter on both sides of the Atlantic, and all over the world (it played a crucial commu-
nications role in the terrorist attacks in Mumbai), makes it a platform that is important for any company
to understand — and use. According to comScore, there were 19 million Twitter users around the globe
as of March — a 95 percent increase over the previous month.

Consumers are also spending more time on the service, heightening the imperative for companies to
also be there. In the U.K., consumers are spending 30 minutes on Twitter as compared with less than
10 minutes a year ago.

With the Twitter phenomenon now something no company can disregard, Razorfish has developed 10
recommendations to help marketers take control of their brands on the platform. Keep in mind that we
believe Twitter needs to be integrated into a client’s social media landscape, instead of being isolated

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from other activities. Here then, the first 10 steps companies need to take to control their brand on
Twitter and establish a successful presence:

1. Become familiar with Twitter by reviewing, or following, the activities of successful brands such
as Dell (dell.com/twitter), Zappos (twitter.com/zappos) and Comcast (twitter.com/
comcastcares).

2. Listen to what is already being said on Twitter about your brand.

3. Identify initial objectives for using Twitter, including what would qualify as a Twitter success
story for your brand.

4. Look into competitive activities and potential legal considerations, especially if there is already
a Twitter account that uses your brand’s name or other intellectual property associated with it.

5. Use the findings to decide on the appropriate opportunity — such as offers or community
building, tone of voice and method of engagement — that may be right for your brand.

6. Since Twitter is an ongoing activity — even if your company is only listening in — dedicate a
resource to monitor the conversations and competitors.

7. Map out a plan for the content you will share, including valuable initial content to pique
user interest.

8. Integrate your Twitter account throughout your marketing experience, by embedding it as a
feed on the company Web site, including its URL in communications and so forth.

9. Maintain momentum by following everyone who follows you, responding to queries and joining
in conversations without being too marketing oriented.

10. Provide ongoing direct value through your tweets by continuing to listen, learn and fine- tune
your Twitter activities.

The importance of points five, six and seven cannot be stressed enough. Brands that create an account
but do not respond to followers’ posts have found their reputation tarnished for not using Twitter in the
best way. On the flip side, brands that have entered into Twitter with the right attitude are reaping the
rewards. For example, Dell used one of its Twitter feeds to promote discounts and generated more than
$2 million from Twitter followers. the end

At Razorfish, we look forward to helping our clients identify the best way to incorporate
Twitter into their digital media mix.

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Conclusion
Now that you’ve read Fluent, you’re probably wondering what comes next.

What should you be doing as a marketer in this social world? How should you be practicing Social
Influence Marketing? These are no small questions.

Traditional marketing strategies don’t work as well as they once did, whether you’re talking digital or
offline. They have their place and can build awareness for a product and service in unique and com-
pelling ways. But they aren’t the sum total of marketing anymore. Your consumers are controlling your
brands more than ever and influencing each other in a scale never seen before.

But their control shouldn’t be a cause for concern — so long as you have a well-defined strategy to
engage with them in ways that do justice to the way they want to interact with you.

Brands can’t simply push messages anymore. Consumers don’t have time for one-way messages —
they are too busy influencing each other across every stage of the marketing funnel — across industries
and product price points. No, brands must do. Brands must learn how to participate with the different
types of influencers in a continuous, participatory, credible and responsive manner 24 hours a day,
7 days a week, 52 weeks a year. They must practice Social Influence Marketing — not ignore it.

This form of participation may take the form of engaging directly with consumers on the social platforms,
exploring new forms of advertising units, harnessing technologies like Facebook Connect that tap into
consumer social graphs, allowing the blurring of marketing functions that usually live in a silo (like email,
CRM, events, direct response and social), exploring new models of monetization and testing new com-
munication strategies on corporate Web sites and social platforms like Twitter.

Being an active brand means accepting the fact that the days of formulating one big idea with multiple
executions are behind us. Being an active brand means that each day you interact with your consumers
based on how they interact with you and with each other. You also participate in a voice that is authentic,
personal, credible and identifiable. You participate through a SIM voice to influence conversations online
and offline. Otherwise, you’ll lose your share of voice among your consumers and you’ll lose product
marketshare too.

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Rethink how you engage with consumers and their influencers. Engage with them in ways that they
want you to engage with them. Reflect on whether your marketing department is structured for this new
ecosystem. And start managing your efforts against your SIM Score both online and offline if you can.

Marketing has changed forever. Have you?

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About Razorfish
Razorfish is one of the largest interactive marketing and technology companies in the world. With a
demonstrated commitment to innovation, Razorfish counsels its clients on how to leverage digital
channels such as the Web, mobile devices, in-store technologies and other emerging media to engage
people, build brand loyalty and provide excellent customer service. The company is increasingly advising
marketers on Social Influence Marketing, its approach for employing social media and social influencers
to achieve the marketing and business needs of an organization. Its award-winning client teams provide
solutions through their strategic counsel, digital advertising and content creation, media buying, analytics,
technology and user experience. Razorfish has offices in markets across the United States, and in Austra-
lia, China, France, Germany, Japan, Spain and the United Kingdom. Clients include Carnival Cruise Lines,
MillerCoors, Levi’s, McDonald’s and Starwood Hotels. Visit www.razorfish.com for more information or
follow us on Twitter @razorfish.

Additional information: Media inquiries: Our thought leadership:
Shiv Singh Katie Lamkin Lauren Nguyen
VP, Global Social Media Lead Public Relations Marketing Communications
+1 212.798.7979 +1 312.696.5241 +1 415.369.6454
shiv.singh@razorfish.com katie.lamkin@razorfish.com lauren.nguyen@razorfish.com
@shivsingh @ktlamkin @ltnguyen

Cover art (Dream World) and design elements (American Dream) by artist Eric Scheib www.lemontwist.net
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Razorfish Locations
United States
@razorfish
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@neuedigitale Let’s do something worth talking about.

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@dukerazorfish

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Shanghai +86 21 5237 8811

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Osaka +81 6 6360 1461

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