Max-Strategy, Spam, & Sentiment Analysis

I've been thinking a lot lately about my max-strategy theory. Even after watching the livestream of this year's O'Reilly Tools of Change for Publishing Conference, I still think it is valid. However, I do have a confession.

If you follow a max-strategy out to its' ultimate convergence point, it concludes in only one observation. By trying to be everywhere, all the time, you will eventually just clog up all of the user-generated content (UGC) and social media sites with a message so ubiquitous, it will become indistinguishable to spam.

One of the Ignite sessions examined the curious phenomen of @Horse_Ebooks. During the Ignite session, I saw a comment that quickly dismissed Horse Ebooks as a spam account. As an early adopter of technologies and hacking, I've even fallen into that categorization myself.

Who decides what is a spam Twitter account? Unless the account is reported and suspended by Twitter,  I guess spam is in the eye of the recipient.

Conclusion

I think the future of max-strategy will have to be more selective. Instead of a massive blast that blanket carpets every social media and UGC site, it will have to use some variant of sentiment analysis. It will have to choose the locations most likely to receive the marketing message. I'm not the only one who thinks sentiment analysis is an important technology, recently Google announced they were buying the sentiment analysis engine, fflick.


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