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By now brands know that they can’t just waltz into China and expect the same strategies they use in the US to work there. But too often this takes the form of trying to “localize” their activities by putting a Chinese spin on to plans originally created for Western markets.

This, I argue, doesn’t take culture seriously enough. It treats it as a problem of basic translation, as though the copy and digital channels can simply be swapped in to “Chinesify” a digital strategy, while the foundational insights and structural approach remain the same. But this doesn’t recognize what culture is.

Coke Blog Image 4

Anthropologist Clifford Geertz defined culture as “systems of meaning” and “the total way of life of a  people”. From linguistics, the Sapir-Whorf hypothesis is that “the structure of a language affects the perceptions of reality of its speakers and thus influences their thought patterns and worldviews.”

So designing a brand strategy in China has to start from this fundamental basis: meaning, thought patterns and worldviews. “Sina Weibo = Chinese Twitter” is not going to cut it.

In one of my previous blogs, I described how three Western brands are succeeding in China through deep insisghts into Chinese digital behavior and family relationships.

Here I look at more depth at digital content strategies, and how some brands – such as Coca-Cola – have succeeded.

Let’s look at how Coca-Cola uses online content in the two markets as an example.

Coca-Cola Mirage Campaign

In the US, Super Bowl ads are an attraction in and of themselves. So when Coca-Cola wanted to make an engaging ad campaign called “Mirage” for the football game, they went all out. “Mirage” was a choose-your-own-adventure style ad with three teams racing to get a Coca-Cola. After watching the set-up TV ad, Super Bowl viewers could then log in and vote on whom they think should win the Coke and even “sabotage” the other teams, unlocking more content.

Coca Cola Share a Coke in China

In China, Coca-Cola recently launched their “Share a Coke” summer initiative. In Western markets, this initiative takes the form of names on the bottles, but in China the names are substituted with nicknames like “cool dude.” The packaging campaign is combined with online activities, such as a Sina Weibo contest, search marketing ads on Baidu, and a campaign website. This campaign is all about community and the social aspect of the brand. It encourages people to literally share a Coke, or at least share content with each other. Meanwhile, the American campaign is competitive, pitting teams against each other.

Now, of course the two types of campaigns are different. One is a three month campaign for summer and the other is event-driven. But by studying how these campaigns structure their content, we’ll be able to identify some key principles of developing social content for China vs. the US.

Channel integration in the US… but channel multiplication in China

Our social media in the States is dominated by Facebook and Twitter. In the US for instance, 94% of US teens have a Facebook page and 24% use Twitter. The percentage on Twitter is rising, up from 16% in 2011. While there are plenty of other social networks in the US, only 11% of online teens use Instagram, 7% YouTube and 5% Tumblr [Source]. As Facebook and Twitter have developed, they’ve also built in ways to integrate content from other channels, with Facebook news-sharing and Twitter Cards bringing this content in-app. This further reduces the need for users to travel to other networks. Brands can concentrate on their Facebook channel and Twitter channels to reach much of the market in the States.

Not so in China. Chinese people are members of more social networks on average than Americans – 3.4 networks in China compared to 2.1 in the US. Part of this could be because each network has its own distinct purpose:

  • QQ/Qzone is focused on gaming, as is 51.com
  • Sina Weibo has most brand and celebrity activity (most like Twitter)
  • RenRen started by reconnecting school-friends
  • WeChat is for chat
  • Pengyou uses real names
  • Jiayuan is for dating.
  • Douban is devoted to interests and hobby groups, e.g. music & film

[Useful infographic and article]

Channel specific strategies in the US… but channel agnosticism in China

This network proliferation affects how brands have to structure their campaigns in the different markets. In the US, there seems to be a focus on making content fit the channel. This kind of strategy only works, however, because there aren’t really that many channels to focus on.

As part of the “Mirage” Super Bowl ad, Coca-Cola went ahead and made custom content for a variety of platforms, such as Tumblr, Twitter, Instagram, Facebook, and YouTube. They shot behind the scenes photos for Instagram and pre-recorded the race losers’ press conferences for YouTube.

In China, this simply wouldn’t work. You’d have to craft different content for both Weibos (Sina and Tencent) separately, not to mention all the other platforms. That’s a bit much, particularly when Western brands are still building their content teams for the Chinese market. Why not just be channel agnostic?

Amy Chen, Interactive Marketing Director at Coca-Cola Greater ChinaThis is Coke’s strategy in China. Amy Chen, interactive marketing director at Coca-Cola Greater China, described how it is important for a brand to remain platform agnostic, “If your communication is good, it doesn’t matter which social platforms you use to receive customer response.” [Source]

You can see this philosophy in action in the Chinese version of “Share a Coke.” On the campaign website, users can easily share content to both Sina and Tencent Weibo and they’ve used their TV ad in their Baidu search marketing. Content is not channel specific – it’s channel ambivalent.

Chinese internet users create more content than Americans online

There is more to this than the structure of the social networking landscapes in the two markets, though.

Chinese people are more active content creators than people in the US. In China, 76% of internet users are content creators, actively posting to social media. In the US, that number is just 25% (see more stats here).

Using that knowledge, let’s revisit how Coke approached the US and China again. In the US, the campaign focused on releasing new content and voting. Not sharing, and not submitting ideas. Yes, there was engagement – the audience could also choose to sabotage the other teams. But the focus wasn’t on posting, organizing friends, or inventing new ways to sabotage. It was a simple, though definitely fun, game.

Meanwhile in China, users on the campaign website are invited to create their own nick-names for their Coke bottles and share those with their friends. As part of the Sina Weibo contest, followers reposted the nicknames that caught their eye. Yes, this is low-level content creation, but it is content creation nonetheless.

Chinese consumers are more accepting of branded content

According to this study, 77% of Chinese web users believe brands with a social media presence are more attractive. Compare that to this research that says that only 15% of North Americans even trust posts by brands on social media sites.

This might be why Amy Chen also made a point to say that brands should nurture the trust they have from consumers. For example, not running a “win an iPad” promotion and to gain followers when you risk losing all those followers once the promotion is over. What she means is that brands should maintain their authenticity. This in turn will help them retain the trust consumers have in them.

Going back to the two Coca-Cola campaigns, then, there is a clear difference between the type of content consumers were asked to engage with. In the US, the content was actually a humorous story about three different teams racing across the desert. Yes, they were racing to get a Coke, but really people were engaging with the fun story. After all, the three teams were showgirls, cowboys, and badlanders. Maybe they should have added pirates and ninjas, but that’s still plenty of fun characters to play with. It’s branded content, but the story is not just about the brand.

Meanwhile in China, consumers were engaging directly with the Coke packaging, suggesting and sharing nicknames that they would put on the bottles. This aligns with another of Amy Chen’s points – putting the consumer on a level footing with the brand by having them share the common message. In the Chinese campaign, consumers are playing directly with the brand itself, co-creating the meaning. Unlike the American campaign, here the brand is truly center-stage as consumers design their own product packaging.

These three points add up to two very different pictures in the US and China. It’s more than just saying that they have different social networking sites in China than in the US. There is a very different approach to using social networks and engaging with brands in the two markets.

Some brands get it. Coke certainly seems to. In the US, fan engagement with the “Mirage” campaign surpassed expectations, topping 11 million. It’s still too early to tell if the “Share a Coke” campaign will achieve similarly stellar results in China, but I’m optimistic for the brand. They’ve put the effort in to understanding the Chinese social media landscape and consumer-brand relationships – let’s hope it pays off.

Key links:

http://www.mckinsey.com/insights/marketing_sales/understanding_social_media_in_china

http://www.forbes.com/sites/ciocentral/2012/10/25/5-things-you-need-to-know-about-chinese-social-media/

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Last month we launched our research study How Stuff Spreads, analysing how two video memes – Gangnam Style and Harlem Shake – spread through social media.

As the most comprehensive analysis of these memes to date, this got a great reaction – everything from coverage in the Guardian Data blog to extensive music industry interest.

So we’ve decided to run a free webinar to share the insights from this study further:

gangnam  harlem

Date: Wednesday 10 July

Time: 4pm BST (UK) - 11am EST

Presented by: FACE social media researcher Jess Owens
(FACE profile / her blog posts)

Sign up here at GoToMeeting

In a snappy 30 minute summary, the webinar will cover:

  1. The two models of viral spread: Top Down vs. Bottom Up
  2. The 7 common characteristics of viral video
  3. Influencers vs. communities – which matter more?
  4. How to measure viral video performance
  5. And of course… How to maximise the shareability of your own video content

comparison

Presenting the webinar will be social media researcher Jessica Owens, who developed the Gangnam Style study alongside CIO Francesco D’Orazio.

Jessica has worked at FACE for 3 years, developing our s0cial media research capabilities with clients such as Telefonica and Tesco. She’s worked on everything from managing social media crises to beauty blogger outreach to a network analysis of the London start-up community. With a background in anthropology, she’s got a keen eye for the social dynamics of online interaction – and its strategic significance for brands.

You may have seen her on Twitter as @hautepop  - or writing on technology, design and culture for sites such as Wired, Business of Fashion, and ICON.

Now hear her take on how viral video memes spread and what brands and marketers can learn from them:

 

We had a great time at Le Web 2013, the innovation and entrepreneurship conference that came to London this week.

Generously hosted by Datasift – our social media data providers – we showed off our social media intelligence platform Pulsar to hundreds of people, and our CIO Francesco D’Orazio also spoke on a panel about what happens when social meets big data.

When we arrived, we realised we had to track what was going on. Within 5 minutes we had a search set up, looking for all mentions of LeWeb, @LeWeb, and the hashtags #LeWeb, #LeWeb13 and #LeWeb2013. And thanks to Datasift we have easy access to Twitter historics, so we could quickly capture discussion about conference preparation a couple of days earlier too.

Friday morning, we started analysis. These are the results – the people, events and topics that mattered at LeWeb 2013…

numbers

Most-discussed speakers

Analysing the volume of discussion by hour shows which speakers and events generated the most discussion.

AirBnB were the biggest draw on Wednesday morning, with 1800 tweets and retweets between 10-11am.  In fact, tweeting volumes dropped over the course of the conference, perhaps as Twitter fingers got tired or people found more productive discussions face-to-face.

by hour 2

We can also analyse the keywords and topics of discussion to see which people and topics generated the most discussion:

keywords usernames

Top 10 People

The most mentioned people in LeWeb discussion were…

  1. @LeWeb (of course) – 2879 mentions
  2. @Loic – host Loic Le Meur – 979
  3. @JOwyang – Jeremiah Owyang, Altimeter – 500
  4. @MSuster – Mark Suster, GRP Partners – 299
  5. @JGebbia – Joe Gebbia, AirBnB – 287
  6. @Natital – Natalia Talkowska, live sketching – 270
  7. @Scobleizer – Robert Scoble, in the Google Glass panel – 247
  8. @AirBnB – 231 mentions
  9. @Axelletess – Axelle Tessandier, speaking on Digital Hippies – 194
  10. @Papadimitriou – Paul Papadimitriou, attendee, analyst & speaker – 180

This may suggest speakers to invite back and prioritise – but also some valuable attendees and infographic sketchers worth paying attention to as well.

Top 10 Topics

  1. Sharing Economy
  2. Startups
  3. Google Glass
  4. Community
  5. Collaborative
  6. Bitcoin
  7. Data
  8. Future
  9. Crisis
  10. Entrepreneurship

It’s clear the main message of LeWeb ’13 – the sharing economy – came across clearly, and the start-up competition drove a lot of buzz too. But the chance to see Google Glass in the flesh, and hear Loic Le Meur and Robert Scoble debate its impact, was a massive draw for the London audience too.

Here’s a Bundle visualisation of the connections between the topics – everyone was fascinated by this at the Datasift stand! We’ve selected teh keywords most associated with Altimeter’s Jeremiah Owyang (@jowyang):

keywords-relational-graph-jowyang

Most-shared stories

Pulsar doesn’t just track the content of messages. Using Datasift’s Bit.ly data, it can unpack the URLs mentioned in each tweet or blog post (even if they’ve been through URL-shorteners like ow.ly or t.co) to understand what web content is the most shared. This is extremely valuable for understanding the press and PR impact of the event.

The LeWeb top content included:

most-shared links

 

Influence

Now we’re not the only people to have been measuring influence at LeWeb. Kred built a leaderboard (with Loic Le Mure on top), and Synthesio’s rankings place Silicon Valley speaker Thomas Power on top.

That’s two ways to look at it. But Pulsar is built by researchers, for researchers – for people who know there are different types of influence and who want to understand the specific benefits and strategies for each. Otherwise you risk up mixing journalists with VCs with self-promoting “internet marketers” and auto-retweeting RSS bots…

So we can measure influence at LeWeb across several dimensions:

Most vocal - that’s @ThomasPower, with 463 mentions of LeWeb – he was retweeting heavily

Most visible - that’s @LeWeb, with 398 mentions of the event to a bigger audience of 138,000 followers, and driving more engagement and retweets too

Most engaging - that’s @TheNextWeb, with 126 retweets for their tweet about the startup competition

influencers by vis

leweb influencer by engagement

Of course, we can build this into bespoke metrics which weight the different dimensions of influence in the most relevant way depending on clients’ strategic goals – awareness, reach or engagement.

 Who was the LeWeb audience?

But to focus too narrowly on influencers misses seeing the bigger picture – the whole LeWeb audience. Pulsar is uniquely able to measure this, thanks to the metadata Datasift attach to each tweet (which includes full details of the author and their network) and our ability search this data, tag it by clusters, and build custom graphs.

Of course it’s limited to the data people share publicly – and not everyone has a detailed profile bio – but the indicative results are very interesting:

  • Startups are the biggest group, at 43% (startup, founder or entrepreneur in their bios)
  • 22% marketers, PR and advertising agency types
  • 11% journalists and bloggers
  • 10% students
  • 6.5% C-Suite influentials (CEO, CIO, CFO etc)
  • and a handful of developers and speakers

people attending

And here’s where they came from – France narrowly beating the US for second place, as befits LeWeb’s origins as a Parisian conference

locations

So that’s LeWeb – the events, the speakers and the topics that drove discussion.

Thanks again to Datasift for kindly hosting us and promoting our work on stage. (That’s founder Nick Halstead showing off our visualisations of Alex Ferguson’s retirement announcement).

le web2

And using PulsarTRAC – built by researchers, for researchers – we found all this out after just 5 minutes set-up and a couple of hours analysis.

Can your social media monitoring tool tell you all that?

If you want to learn more about Pulsar TRAC and how FACE turn social data into social business intelligence – get in touch. My email is Jessica@Facegroup.com – or there’s more info on the website, PulsarPlatform.com. Let’s do a demo to show how Pulsar could work for you.

Or if you’re a LeWeb speaker and curious about how your session did and what people said about it – just drop me a line and we’d be happy to run the data for you too!

So, you’re the brand behind a sensational viral marketing campaign, and you want to understand all of the nooks that your brilliant work reached. Of course you do!

(And we helped Irn-Bru do exactly that)

But why track content otherwise?

…if you think you already know your audience

So you did your homework. In fact, you designed the content strategy and seeded it from scratch. But what if your link caught on with an audience you never expected? Unless you track the dissemination, you won’t know about the people you didn’t know about when you started. You may not ever choose to spend money marketing to them, but making sure you’re not alienating them and maximizing their advocacy needn’t cost much—except incremental sales if you don’t take action. And if you do decide they’re worth pursuing as a new target population, then you definitely need to know more.

It probably goes without saying that you can of course also track which influencers and channels that you seeded were the most effective, so that your careful execution is even more efficient next time round.

Picture3

 

How influencers shared an Irn Bru advert

…if your campaign didn’t get the traction you expected

What happened? By taking a step back and understanding the networks of people and movement of information, you can understand not only the flow—but also the blockages. Which bloggers delivered more than their fair share of dissemination and advocacy, and which should you not engage with again? Does the map of where you spent money align with where the successes were seen? Inspecting the ‘nodes’ (people, platforms, and channels) at a more granular level can help you fine-tune your model rather than indiscriminately chalking it all up to failure (which will almost certainly ensure you don’t learn from the mistakes!)

…if you want to understand ROI

By knowing who’s shared or come into contact with your content, you can also understand who has not been exposed. Measure purchase intent (or any other historical tracking metrics you might have) in these contrasting populations, and compare the differences.

FACE is currently pioneering a number of exciting methodologies that mix Social, Qual, and Quant approaches to get at these client needs.

…if you work in a highly regulated industry and aren’t permitted to market to consumers

Marketing is just information – and information is power. Or so they say, right? Understanding the knowledge and information that people hold is essential to industries like pharma and banking. Rather than asking about marketing content, instead consider, “How does information and misinformation spread?”, or “can I add value for consumers by sharing helpful guidelines, regulatory information, or other informative content?”

Content tracking isn’t limited to marketing content: I’ve tracked flu outbreak information with the CDC and WHO that has informed everything from where (and on what topics) individuals need more disease information, to whether emergency supply needs could be predicted based on knowledge of the early reach of information.

…even if you believe your target consumer isn’t the blogging type

If you honestly believe your target population isn’t contributing online – I might not agree, but on this occasion I’ll turn a blind eye – what about consuming content? Sure, not everyone is a ‘writes 3 blogs a night’ type person. But the modern affinity to referring to review sites is difficult to deny. When was the last time you booked a holiday without looking to Trip Advisor or bought electronics without reading some online reviews?

You’ve probably mapped out consumer segmentations and a consumer decision journey for your brand. What about accounting for the role that the online world now plays? Track content to understand how people at different consumer decision journey (CDJ) stages are consuming your content. How could you tailor your content to different segmentations or different purchase stages? How could you use content to understand and address the questions that consumers have pre-purchase, or to get post-purchase advocates to connect with those still deciding?

path-to-purchase

Don’t forget that probably 90% of our word of mouth, sharing, and influencing with others occurs offline. All the more reason you should maximize what you can control – and measure – online with social media content tracking.

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Learn more about how Pulsar can track content in social media (as well as topics and audiences) at the website, PulsarPlatform.com

Interested in discussing how content tracking could work for you? Just drop me an email at Erika.Ammerman@Facegroup.com, or say hello on LinkedIn.

We believe that businesses need to be socially intelligent in order to adapt to the ever-changing and interactive world of the modern consumer. This requires a new knowledge framework, which our CEO, Andrew Needham, puts forward in his whitepaper “From socially intelligent business to socially intelligent research”. 

Andrew recently published a blog explaining this new framework on the GreenBookBlog, but we wanted to share it here, too. Below you’ll find an excerpt of the blog as well as the full whitepaper

socially intelligent research

Social intelligence is an adaptive, continuous, collaborative and open customer/consumer-driven knowledge framework that sits at the center of a company’s organization like the hub of a bicycle wheel where all marketing and business disciplines feed into and out from the customer/consumer.

Success in the “Pull Economy” means understanding that a number of significant business principles have changed. In a hyper-connected world information flows much faster and more freely. Organisations as a result are subjected to a growing level of collective intelligence and value creation from outside the company’s walls brought on by the increased collaboration of customer/consumers, employees and suppliers in what is now a much larger ecosystem of data, conversation, innovation and participation.

There needs to be a knowledge framework to help companies manage this transformational change and maximise as much value from it in a way that benefits the business and the customer/consumer.

Social Intelligence

We call this social intelligence.

An adaptive, continuous, collaborative and open customer/consumer driven knowledge framework that sits at the centre of a company’s organisation like the hub of a bicycle wheel, where all marketing and business disciplines feed into and out from the customer/consumer.

In this model the empowered customer/consumer is at the heart of everything a company does.

Hub and Spoke Social Intelligence Framework

Alongside the role of the customer/consumer there are two other key ingredients to becoming socially intelligent.

The first is the application of smart technology to help manage the real time flow and exchange of information, creativity and value from within and outside the company’s walls.  The second is a growing army of people who have proficient skills to extract value and meaning from big data.

And this is where socially intelligent research has a big role to play by helping companies have a real time, in depth holistic view of their consumers.  Socially intelligent research combines best in class social media research, on-line qualitative communities, mobile ethnography and co-creation best practices in an integrated way. It is powered by proprietary platforms that have been built by researchers for researchers to deliver robust insight supported by rigorous qualitative processes.

Socially Intelligent Companies Must Embrace The Customer/Consumer

Companies have often spoken about how the customer/consumer is at the heart of their business and more often than not have failed to deliver against this mantra. Success in the pull economy means doing just that at a time when companies feel that it is harder to achieve. There are many examples where this is already happening.

From Open Innovation to Crowd-sourcing

Open innovation and crowd sourcing business models tap into the collective wisdom and creativity of consumers and this has been incredibly disruptive to more traditional approaches. Instead of “not invented here,” the mind-set is shifting to “proudly found elsewhere.”

The most notable case is Proctor & Gamble’s ambition to ensure that over 50% of its innovation is driven from outside the organisation with the set up of its Connect & Develop platform that has secured more than 1,000 partner agreements on innovation.

Further examples: Kickstarter is a U.S website that allows projects to turn to people outside the organisation for funding taking small or large donations from thousands of backers in return for credit or early access to products and services. Coca-Cola used crowd-sourcing to develop new designs for bottle crates in Germany and marketing ideas for Coke Zero in Singapore. GE has crowd-sourced green business ideas under its “eco-magination” challenge.

From Social CRM to Social WOM Communications

Social CRM, where the customer/consumer helps to deal with problems, queries and complaints of other customers/consumers is also being applied to a number of businesses. Telefonica – who launched GiffGaff, “the mobile network run by you” – relies on its customers/consumers to service other customers/consumers as part of its community driven business model.

In the area of communications examples of content generated by consumers and how it is shared is also prevalent. A recent campaign with UK’s Irn Bru showed just how powerful this is – one “superfan”, Rachel, caused Irn Bru’s latest TV advertisement to generate 1.5 million views before it even went live. In the U.S recently one of the most buzz-worthy ads of this year’s Super Bowl wasn’t even a commercial – it was a mere tweet from Oreo during the blackout.

Oreo’s Superbowl Twitter Ad

From on-line communities to faster decision-making processes

Continuous on-line communities where companies can connect their internal employees with customer/consumers, suppliers and partners is another example of where the consumer rules. Through communities such as Burberry World, companies are speeding up cycle times by shortening learning curves, testing new products or ideas with consumers using mockups, computer-generated virtual products, and simulations.

Together with the use of social media this is also helping to fast track the decision making process. In the case of Oreo their ad agency 360i told Buzzfeed that they had gathered Oreo executives together in advance, just in case something in the Super Bowl sparked an advertising idea. When the lights went out they were able to respond to this opportunity immediately with their Twitter ad.

Customers/consumers create value beyond just transactions

The significant shift underpinning all these examples (and there are many more of them) is that customers and consumers seek out interactions with brands that go beyond the merely transactional. This is driving large-scale behaviour change where focus on hyper-personalisation, relevance and customisation are critical.

 - Read the rest of the article at GreenBookBlog.org

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Read the full whitepaper by Andrew below, and sign up for our monthly newsletter for more information on socially intelligent research and how it can work in your industry and business.