We recently presented at the MRS Social Media conference in London to discuss the work carried out with O2 UK around social media monitoring and social CRM.
We designed a research + technology solution based on Pulsar called RTO2 (Real-Time O2) to help the brand plug into real-time customer insights from social media.
The conference was also a great occasion to share some thoughts on the research methodologies and processes behind social media monitoring, which is too often wrongly associated with just quantitative analysis and number crunching. Let’s make this clear once and for all: it’s not. And if this was the case people would be happy with off-the-shelve solutions, software-driven analytics and all you’d get would be a confused mass of noisy data which don’t make sense and are not of any help to whatever you’re trying to achieve.
Like in any research process, effective social media monitoring is based on building samples to ensure representativeness, preparing/cleaning up the data to ensure relevance and only then running various (and iterative) layers of analysis to get to the insights. And all of this has to happen ongoing and in real-time.
This is why what social media monitoring is really about is reducing complexity and pattern recognition and it has to be based on quantitative as much as qualitative methodologies but also on human analysis as much as software analytics.
To illustrate the research process in more detail we went through the 6-step framework we use to get from raw data to tactical and strategic insights:
- LANDSCAPE: summary of the most important data for any specific search
- LEADS: identify the leads that might be pointing towards relevant phenomena
- DRILL-DOWN: investigate the various leads through different types of drill-down action
- EVENTS: get to the bottom of what caused a specific phenomenon turning it into a well-defined event
- INSIGHTS: build tactical and strategic insights off the back of the events uncovered
- TRENDS + MODELS: bring together events and insights in a comprehensive trend that tells the story of the brand over a specific period of time + identify recursive patters and suggest actions which will cause a trend to emerge again
If we want the social media analysis industry to grow and be taken seriously it’s time to start defining and sharing research frameworks that could help us generate better insights and foster the adoption across various business segments (from Research to PR, from Innovation to Planning, from Customer Experience to CRM…)
By no means this is meant to be a solution but hopefully it will contribute to a conversation that’s getting more and more vibrant.
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*RTO2 has just been nominated for a Best Innovation Award 2010
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