Yesterday I had the pleasure to host the July WAW here in Beijing with John Wang, Product Manager at Sinotech Group sharing Sinotech’s perspective on Web Analytics and Social Media Analytics. Thanks John for sharing.
While John had only a couple of slides, it was slide 8 (the SinoBuzz dashboard) that caught most attention and started a discussion that lasted almost half an hour. Thanks John for being a great sport answering all the questions in detail (especially the more pesky ones from Paul Denlinger
)
Some take aways from the presentation and the discussion:
- The Social Media tracking field is getting crowded, with pioneer CIC, BBS aggregator Daqi, Ogilvy One’s OBuzz and now Sinotech’s SinoBuzz. That’s great news for advertisers and ad agencies. It keeps everyone on their toes
- Sinotech has been working of Sinobuzz for more than one year. Especially the natural language processor part had been tricky, but they are confident that it produces reliable results now.
FP: Chinese is a very difficult language to interpret with software. None of the natural language processing tools I have seen for Chinese have worked at an acceptable level. I would love to see a more detailed demonstration of Sinotech’s system on a post and aggregated level to understand if they have cracked this particular nut. - SinoBuzz is working with connectors to plug into BBS, Blog, Social Network, Video sharing and other conversations. The platform is flexible to add other connectors to any upcoming platform or network.
FP: This flexibility is a clear competitive advantage, given the more static nature of most competitive products. - SinoBuzz is trying to aggregate unique metrics from various platform
- #of BBS post, BBS clicks, BBS replies, Post Sentiment
- #of Blog post, Blog replies, estimates about Blog post PV’s, Blog post sentiment
- SNS #of Friends, #of status message, #of posts, # of relies, post sentiment
- etc
into general metrics like “reputation” and “attitude”.
FP: I am highly sceptical of this approach since is a) lack transparency b) ignores unique characteristics of different platforms, their audiences and their impact c) uses unreliable third party resources like Alexa to gauge the impact of sources that do not publish reach (PV) data. - The Sinobuzz dashboard is well designed and provides a good overview of brand performance. Like most dashboards (see Avinash’s Action Dashboard post), it suffers from the lack of analysis and actionable insights.
FP: A good rule of thumb for any Dashboard: Handle with care. Dashboards without analytics and recommendations usually end up as pretty charts without impact. The key resource is not the dashboard, but an analyst who understands these numbers and your business and can provide actionable insights and recommendations based on that data. John mentioned that there are more reports to dig deeper and it would be great to understand what these reports can do. The critical queastion remains: How does the tool enable brands to take action?
What are your thoughts? Did I miss anything important? Let me know in the comments section.
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