Brands not only need to reach their consumers, they need to engage them into meaningfull relationships at each touch points.Brands are not central to their interactions, people interact with other people to share their experiences
7. We can listen to what they say quantitatively, but also dive into their world in a qualitative way. netnography
8. But consumers are sharing so much on the net, their experience, their needs..even solutions…can we not only listen but also interact with them ?
9. From insights gathering throught observation to ideas as effective solutions issued from co creation
10. The role of research institutes is evolving…from « voicing up » to « helping the connexion between brands and consumers»
11. They are becoming more a connector between consumers and brands, and between brands and agencies.
12. In order to observe consumers in their natural environment or interact with them to gather insights or co create Netnography insight community co creation
13. It depends on the brand project advancement… Netnography insight community co creation
14. The research institutes can adapt the level of interactivity with them … Co creation observation crowdsourcing
29. The only way the team can work together is by being « user centric » not just « data centric » or « idea centric »
30. This is the overall process of a netnography (5 steps)
31.
32. Step 2 = community selection and gathering into a listening plateform We will gather highly involved consumers we identify through extensive social web monitoring based on key words. We will only add sources we have validated and which correspond to the voice of a consumer, not a media / a professional blogger). We will tagg the sources with relevant informations that will structure the analysis.
33. Step 3 = community observation Everyday, the observer will fine tune the community clusters and the topic clouds, and categorize the content he will then extract for analysis. He can also set up some specific filters to access more relevant content.
34. Step 4 = data analysis to extract insights. Data analysis.
35. Step 5 = get a deeper understanding of the issues raised behind these insights, and the ideas they mentioned
36. 3 outputs = personas + scenarios + proposition.