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Face MD Job Muscroft started a series of posts about the emerging roles changing the face of market research earlier this month. Now, we’re going to take a closer look at each of these roles in turn, starting with Face social media researcher Jess Owens.

How would you describe your role?

As a social media researcher you’re a customer barometer for your clients – you see far more of what customers are thinking than probably anyone in their business. And, unlike almost all other information sources, it’s all real-time.

In social media monitoring projects, you’re feeding that back to the business – often hundreds of people, including the board – weekly or fortnightly to help the different client teams understand the impact of what they’re doing, what’s working, and what’s not. In insight briefs, the scope is a lot wider – often there’s a big element of explaining trends, “internet culture”, emerging technologies and so on.

How did you become a social media researcher? What’s your background?

I got a job at Face in part through having a Twitter account (@hautepop) which demonstrated that (a) I understood social media and (b) I think analytically about it. I’d been talking to Fran (our Director of Innnovation and head of Face Labs, @abc3d) on Twitter for a while, so when I sent in a speculative CV it got read. As a friend of mine put it the other day, “Our social graph is our passport” now.

But it’s also pretty crucial to be at home with both qualitative and quantitative thinking. I’m a bit of an extreme example here (BA in social anthropology; A-levels in maths, further maths & physics), but being able to handle both analysing datasets and explaining “what it means” is central to the job.

Beyond this, though, I’ve been active in online communities since 1995 and I’m fascinated by online culture. At heart, perhaps every social media researcher is an ethnographer or a “native informant” mediating between online and client worlds.

Any tips for how to stand out from the competition when you’re trying to get a job in social media research?

It’s amazing how many people don’t even have an active Twitter account… It’s a new field, we don’t expect 10 years of experience in “social media research” per se – but demonstrating specific interest and experience in both fields is pretty essential. Don’t be a generic marketer.

Ideally I’d love to see someone who’s big on Tumblr, or makes influential comedy or beauty videos on YouTube – something that really demonstrates that not only do they “get” how a particular channel works, they’re passionate about online sociality in general. Participant-observers can reach deeper insights than voyeurs.

What are the top three rules you have to follow as a social media researcher?

(1) Don’t lose sight of the wood for the trees. When doing analysis, it’s incredibly easy to be distracted by interesting discussions and follow these off, losing sight of the research question you’re trying to answer.
(2) An anecdote is not data. If you’re seeing 2000 mentions/day, one interesting tweet or forum thread is not in itself meaningful. First you need to establish whether or not it’s part of a wider pool of comment or complaints.
(3) Social media research is not PR – if customers are pissed off, your job is to explain that objectively, not play it down or try to cast them as in the wrong.

What’s the biggest mistake you most often see in social media research? What’s so bad about it?

People breaking rule #2 above (mistaking anecdote for data) – a singular “cute story” doesn’t necessarily mean anything and may in fact be misleading. It risks making social media analysis look like PR fluff rather than one of the central sources of business intelligence for the next decade and beyond.

Where do you see your role going in the next five years? What’s the future for social media research?

Big! Social media – and its intersection with mobile – is a really booming field, and moving incredibly quickly. In five years, social media research won’t be a distinct field – in fact it’s not one now, it never has been. Instead it’ll be an umbrella-category for a wide range of research methods done by all sorts of people, from brand and customer analysis to data journalism, economic & financial forecasters, policing & security services, academics and digital humanities researchers. The raw material of analysis certainly won’t just be social media content but integrating social and network data of all kinds.

Obviously market research only owns a minute part of it. The social media analytics field is dominated by tech firms, from IBM to Radian 6, Sysomos etc. Some follow more of a strategy consulting business model, but most are essentially selling product licences and require companies to either accept only pretty basic top-line insights or have an in-house analytics team. Analytics platforms from the social networks hosting the content may also emerge (e.g. Google+ Analytics, Twitter Analytics).

The qualitative and strategic side – the “what it means” – will be a much smaller part of the whole, but doubtless still offering huge opportunities.

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Sounds like you too? If you’re interested in joining Face and helping shape the future of market research as a social media analyst, please submit a CV and cover letter to job@facegroup.com.

Following on from my last post – 2012 Resolutions for the Market Research Agencies – I wanted to talk more about how we make these resolutions a reality by creating new agency roles with distinctive new skills sets.

1. Technologist

The MRX Technologist is primarily responsible for keeping up to date with new digital trends and is able to help the agency develop and pilot new research methodologies. This may take the form of designing new platforms from scratch or being the lead decision maker when it comes to buying 3rd party software. Alongside innovation, the Technologist plays an increasingly important role on project teams where the research briefs are UX or Service Design Orientated.
Skills: User Experience, Digital Project Management, Data Analytics

2. Community Manager

Communities are social places and need to be nurtured by people who are experts in digital communication. With the rise of MROC’s the fastest growing role in MRX agencies is that of the community manager. In fact, most of the problems associated with bad MROC research is when the agency does not have this person on the team. The Community Manager is responsible for setting the rules of the community, setting the tone of voice, making a personal connection with members and ultimately ensuring good quality engagement with the project. The Community Manager is also increasingly leading the way when it comes to applying game mechanics to research and is growing in influence when it comes to shaping research projects.
Skills: Copywriting, Video production, Project Management

3. Social Media Researcher

Real time social media monitoring is now commonplace but many companies are still struggling to interpret the data and use it to make strategic decisions. This knowledge gap is being filled by The Social Media Researcher who is responsible for developing strategic KPI frameworks for social media tracking programmes and harnesses social media data to help answer adhoc brand, product and comms briefs. The Social Media Researcher is quickly becoming a very important role, as they are both an objective and strategic voice advising clients about the ROI of their growing digital spend.
Skills: Quantitative Research, Qualitative Research, Social Media strategy

4. Co-creation Consultants

Companies are opening up and embracing more collaborative ways of working with third parties – including their consumers. Co-creation Consultants are responsible for the successful interaction between all parties on a project. Many of the touch points for this type of co-creation occur in workshop environments of one kind or another that require very skilled facilitation to get the best out of a wide variety of participants. Co-creation Consultants cover a wide range of disciplines, most often those from innovation, brand strategy and planning backgrounds.
Skills: Facilitation & improvisation, Planning, Qualitative Research

5. Big Data Scientists

We are living in the age of data, enabling companies to be more forward looking. Big Data Scientists are hot property in the research world as they are responsible for developing predictive data models & algrorithms using a wide range of data sources including dynamic social media data. Big Data Scientists primarily come from computer science, hard sciences, engineering and business backgrounds.
Skills: Mathmatics, Statistics, Computer programming

1. Learn how to tell better stories

We all know a good and engaging story when we hear it and our clients are no different! 2012 should be the year in which we take the art of MR storytelling seriously. Let’s ban the 100 slide reportage debrief and develop the skills of our teams to communicate findings in more engaging ways. Spend 10% more time on thinking about how we tell the story using imagery; video, graphics and customer voices will make a huge difference to the reputation of the MRX industry.

2. Ask less questions and listen more

As researchers we like asking questions. If we are totally honest, most of us think we know the answers before we run our surveys and are simply testing our hypotheses. Today, we live in the age of social media data – consumers globally are talking about every aspect of their lives 24/7. We no longer need to second guess and ask as many questions about what consumers think and feel with so much data available. We just need to develop the skills of our teams to listen and interpret more.

3. Stop using the word respondent

We have all done this. But is it not time to stop using this word to describe people who we work with in research projects. In 2012 we must encourage our teams to develop collaborative skills so that we can see consumers as people who we can co-create value with rather than as lab rats to carry out tests on.

4. Have more fun

The MRX industry has a pretty dull image and we need to ask ourselves why. A large part is because we need to try harder to be creative and have fun with our clients. We should be encouraging our teams to spend time experimenting, by piloting new ideas with clients. In a world where things are changing so fast, this is not only essential but fun.

5. Don’t just embrace change – drive change

Above all in 2012 I think there should be an acceptance amongst researchers that the pace of change we are seeing in technology is just going to speed up and that the old certainties of Quant and Qual research are over. It is only then that we can help shape the skills of our teams to adapt to the challenges of a world where so much data is available and where consumers expect to collaborate with brands.

Technology is changing faster than consumers. Consumers are changing faster than organizations. Therefore, organizations need to change faster if they are to keep up. Many are finding this difficult to achieve.

A recent IBM Global CEO Study that covers 1,130 CEOs across 45 countries and 32 industries showed that organizations not only felt bombarded by change but many are struggling to deal with it. 8 out of 10 CEOs saw significant change ahead and yet the gap between the expected level of change and the ability to manage it had almost tripled since the previous study in 2006.

There are many different manifestations of this change (too many to cover here) from faster product life cycles and globalization (the shift of budgets to emerging markets), to changing demographics and the challenge of ageing populations on Western economies. But one of the biggest is the impact of the social web on everything we do. EMarketer predicts that the tipping point will happen in 2012 when 60% of all marketing budgets will become social. Linked to this is the arrival of Big Data. In 2010 the human race created 800 exabytes of information. To put this into context between the dawn of civilisation and 2003 we only created 5 exabytes; now we’re creating that amount every two days. By 2020 that figure is predicted to sit at 53 zettabytes (53 trillion gigabytes) – an increase of 50 times. As Hal Varian, Google’s Chief Economist said “We used to be data poor, now the problem is data obesity”.

This presents us with a number of new challenges that I have set out below as hardening client needs. I have concentrated on just a few with some suggestions on what research companies need to do to make sure they’re in a position to meet them.

1. Moving from Big Data to Big Insight

Making sense of all the data out there and simplifying it so that we can derive valuable meaning and insight will be one of 2012′s client mantras. Social listening will give way to social media insight. Having researchers in your team that are also technologists e.g. digital anthropologists that can help to analyse real time social data will become a required skill. Being able to augment different data sets from the virtual and real worlds so that we can help to create one closer view of our customer will depend on our ability to mix different on-line and offline methodologies in a coherent and credible way.

2. Quality without speed is not enough

One of the greatest demands from clients is how to deliver fresh, robust and relevant insight more quickly and cost effectively than we have ever done (or needed to do) before. Qualitative research companies need to lead in the use of technology so that we can become quicker, faster and more responsive in the ways in which we gather insight about our clients’ consumers. We also need to develop research and planning tools that are less generic and more focused on the CMI client needs of today and tomorrow.  This does not mean replacing human analysis – to the contrary the role of the researcher has become even more important than before because of the need to find real quality from the huge quantities of data that is out there. It must also mean we can do better than relying on tools such as the TGI Index.

3. Logic needs to give way to more magic

We are going to see more emphasis on qualitative research as a robust exploratory tool to understand better consumers’ emotional drivers as well as to help improve the quality and shaping of social ideas and social content before things go too far and way before the quantitative testing stage. Too much blind reliance on testing things to death has seen some of the “magic” and “creativity” in marketing lose out to the “logic”. Creating magic today means creating social brand stories that are contagious and can be propagated effortlessly by key consumer cohorts. Co-creating with these consumers, involving them much earlier in the marketing process, leveraging their content and creativity as part of the marketing process will have an increasingly important role to play here. If what goes in is rubbish then testing what comes out will be rubbish. The Coca-Cola Company is leading the way and I am sure other FMCG clients will follow.

4. Creating content excellence

There is a new marketing ecosystem where content is more important than channel, where audience passions/interests are becoming more important than demographics and where the media model has changed – placing more emphasis on created and earned media as opposed to bought and owned. Understanding which “big ideas” have enough social currency  (it’s not what consumers are doing with your brand but what they are doing with each other that counts) and can work effectively across all platforms will attract much more focus. Understanding the different consumer cohorts within a brand audience and their influence will also be key to understanding what content areas will have the most impact when it comes to propagating ideas. Researchers need to come up with a new model here: one based on rational, emotional and social metrics that is continuous and adaptive.

5. New measurement models

With the increasing socialisation of brands and the importance “connected” brands are placing on new metrics such as social brand value and influence (see below), helping clients to understand, validate and measure what ideas work best in the earned and created media space as well as why it works will be increasingly important. Finding ways of proving that the more customers of a brand are interconnected the more they are willing to pay for the product and the more loyal they will be is vital. Working out a more real time model for measuring which big ideas have the best potential for success; are the most likely to be propagated and can work across all media is another area that needs close attention.

I attended WARC’s Datacentric Conference last week where Fran D’Orazio was presenting with O2 on Mining Big Social Data In Real Time. The overriding central theme of the day was how to move from being data driven to becoming more data decision and data action orientated. Some of the key points are worth summarising here.

1. Measure people, not channels

Dan Hagan, Head of Planning at Carat, talked about the importance of getting closer to individuals and measuring people rather than channels to help “Manage data to gain insights into brand strategy”.  One of the new ways to achieve this was to use agent-based modeling that required the creation of fake digital personas with basic rules & behaviours. These digital robots, if used in large numbers, provide rich qualitative data on potential customer profiles in a social context. The model allows researchers to compare the fake ecosystem with real life.

2. Doing it right versus doing the right “it”

The real power of insight does not come from measuring every piece of data but understanding the most important pieces of information to drive action. Gavin Meggs, Sky IQ’s Strategic Insight Director talked about moving from Big Data to Big Insight. His advice was simple:

-          Understanding what’s possible is about understanding the customer attributes and behaviours; interactions at each touch point, attitudes and preferences, getting a single customer view and having a memory

-         Put the customer at the centre of your organization not just at the centre of your model

-         Optimization of Data sources and the importance of data matching

-         Connecting insight to business objectives so one can prioritize what’s important

-         Scope – the problem of size. The cost of doing too much can sometimes be more than doing too little

3. Social Attribution Modelling- combining social data, with on-line and off-line models

One of the Conference inspirations came from Louisa Middleton at Google in her presentation “On-line data analytics: From the Customer decision to the bigger picture”. Here was the opportunity to combine social data with click stream data and off-line methodologies to deliver a new attribution model – one that can help put the customer purchasing journey in a social and brand context.

4. Separate data planning from data execution

In terms of making data part of every conversation, Lee Feinberg from Nokia argued that it is important to separate data planning from the execution with his DRAW ON approach. This was essential to help companies move from being data driven to decision driven.

Planning Phase

·      Decisions you need to consider – make sure that you cover all of them at the outset

·      Results that drive the decision – write them down but also sketch them out as visualizations as this helps to get key points across

·      Analysis of achieving the results. Build a list of all of the questions that might be asked about the key measures so you can make sure you have all the data available to answer them

·      What else to complete the analysis. Bring information from outside into the conversation

Execution Phase

·      Make important information Obvious – otherwise can camouflage data

·      Neatness counts