Sramana Mitra: You anticipate that that is going to be much more of a common practice going forward? Michael Wu: I believe it is going to be very important for a lot of people, like marketers who are interested in big data analytics. Whether it becomes a common practice or not, it depends on how
Sraman Mitra: So you are anticipating user queries and caching them into intermediary steps. Michael Wu: We are not really anticipating. Query time is one thing, but there is also actionability. How are you going to look at what every single user in our community does? We have millions of users in our community, and
Sramana Mitra: Give us some information on what kinds of metrics those are. Michael Wu: If you send a message, that message can be a blog post, an idea for people to vote on, etc. So the message has a different context. Not all messages are of the same type. That is what I mean
Sramana Mitra: Can you double click down into each of those two cases and give us examples of what data you track and what kind of behavior you are trying to stimulate by tracking it? Michael Wu: Both communities – whether it is the support community or the marketing community – run on our platform.
Michael Wu is the chief scientist at Lithium. Lithium, as the company’s own website says, helps companies unlock the passion of their customers, providing a platform that customers can use to interact with these companies. Lithium is a social customer experience company with a collective 91 million users each month (more than Pinterest or LinkedIn),
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