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Phil Talsky


Attensity

Phil Talsky joined Attensity in 2006 and has held several roles in the product marketing organization here. He is currently the technical marketing manager, responsible for technical product deliverables supporting the field sales organization. Prior to joining Attensity, Phil has held product marketing and product management positions with several startups, including Aligo (acquired by Corrigo), Utopy and Baystone (acquired by Remedy).

 
 

Apple Finally Ships The iPad - So....How Do People Feel?

comment count 0 comments | 740 reads
Posted on Apr 05, 2010

So, the iPad finally shipped (okay, it's only been six weeks since the announcement, but it feels much longer, doesn't it?)  So, as a follow up to my post-announcement analysis, I wanted to see how people felt after getting their hands on the real iPad for the last day and a half or so.  As usual, I used Attensity Cloud to pull 50,000 Tweets on the iPad, and ran them through Attensity Analyze to perform my analysis.  And, overall, I do have to say that the results are probably very pleasing for Apple.

(For full disclosure, my iPad arrived Saturday afternoon.  Not real happy with the quality of service from UPS, but I can't fault Apple or the iPad for that.  It just aggravated me that the case showed up via Fedex before the actual iPad did!!)

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Republished with author's permission from original post by Phil Talsky.

The Apple iPad: Do People Like It? Will People Buy It?

comment count 1 comments | 2639 reads
Posted on Feb 09, 2010

Last week Apple announced one of the world's worst-kept secrets, the iPad.  Being the gadget freak that I am, of course I watched the announcement stream (amazingly, Apple didn't stream it directly, so I watched bootleg streams on another site).  I was actually surprised at how pedestrian the announcement was.  It really didn't seem up to the Apple standard.  It was low-key.

And, of course I planned to do an analysis of what others think about the iPad using Attensity Cloud and Attensity Analyze to extract purchase intent, understand general sentiment and feature-level opinions.  But I went about it in a slightly different way this time.  I looked at it in three different time ranges.  First, I pulled 20,000 tweets two hours before the announcement.  Then I pulled another 20,000 tweets two hours after the announcement, and finally, I pulled 15,000 tweets four days after the announcement.  I wanted to see how the sentiment was trending and what people were talking about before, during and after the announcement, and here's what I found.

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Republished with author's permission from original post by Phil Talsky.

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