http://www.mpdailyfix.com/marketingprofs-podcast-what-separates-bulk-email-from-sleazy-spam/?utm_source=rss&utm_medium=rss&utm_campaign=marketingprofs-podcast-what-separates-bulk-email-from-sleazy-spam Opinions. Commentary. News. Sun, 12 Feb 2012 02:23:11 +0000 http://wordpress.org/?v=2.9.1 hourly 1 http://www.mpdailyfix.com/marketingprofs-podcast-what-separates-bulk-email-from-sleazy-spam/comment-page-1/#comment-35438 Jen Zingsheim Wed, 25 Jun 2008 15:33:57 +0000 http://www.mpdailyfix.com/marketingprofs-podcast-what-separates-bulk-email-from-sleazy-spam/#comment-35438 Hello--thanks for the mention of CustomScoop, and like David mentions, for our clients time is defintely one of the main reasons they come to us, along with providing context. Most of our client base is looking for metrics (charts, graphs, tonality, etc.) and context--what does a specific post mean, how are commentors to the post reacting to it, and to dive a little deeper: do our analysts feel the issue/topic has staying power, especially based on previous posts on similar topics. There are a wide variety of servies out there, knowing which one will get you the info you want is the key to finding the right match! Hello–thanks for the mention of CustomScoop, and like David mentions, for our clients time is defintely one of the main reasons they come to us, along with providing context. Most of our client base is looking for metrics (charts, graphs, tonality, etc.) and context–what does a specific post mean, how are commentors to the post reacting to it, and to dive a little deeper: do our analysts feel the issue/topic has staying power, especially based on previous posts on similar topics.
There are a wide variety of servies out there, knowing which one will get you the info you want is the key to finding the right match!

]]> http://www.mpdailyfix.com/marketingprofs-podcast-what-separates-bulk-email-from-sleazy-spam/comment-page-1/#comment-35437 David Alston Tue, 03 Jun 2008 19:03:40 +0000 http://www.mpdailyfix.com/marketingprofs-podcast-what-separates-bulk-email-from-sleazy-spam/#comment-35437 Hi guys, thanks for the Radian6 mention. No question being more efficient with time is a reason our clients use Radian6. This a combination of having all conversations found in real-time and sent through a single dashboard. Time-savings also come from the ability to prioritize a large number of posts based on conversational dynamics that we constantly monitor for each post - allowing users to sort by volume of commenting, unique commenters, views and calculated engagement. The other advantage is the knowledge of much broader coverage than with manual methods. In our case we cover all blogs, top video sharing sites (with partnership with blinkx), top image sharing site, opinion and forum sites, online mainstream media and micro-media like Twitter. Another advantage is the ability to track multiple keywords all at once including Boolean search strings (ex. "marketing profs" and not "university") Where the pro system really starts to leave the manual methods behind is in analysis across all posts, in our case in real-time as well. You can graph trends, compare levels of buzz, uncover popular word use (for surfacing potential issues) etc... We also have the ability to crunch all of this data plus additional metrics like on-topic inbound cross-linking to tell a user who the most influential sites are within a topic. Again, this comes back to time as someone can then decide to focus their outreach efforts to those with the most influence with in the brand category for example. Hope this help to clarify the difference. Hi guys, thanks for the Radian6 mention.
No question being more efficient with time is a reason our clients use Radian6. This a combination of having all conversations found in real-time and sent through a single dashboard. Time-savings also come from the ability to prioritize a large number of posts based on conversational dynamics that we constantly monitor for each post – allowing users to sort by volume of commenting, unique commenters, views and calculated engagement.
The other advantage is the knowledge of much broader coverage than with manual methods. In our case we cover all blogs, top video sharing sites (with partnership with blinkx), top image sharing site, opinion and forum sites, online mainstream media and micro-media like Twitter.
Another advantage is the ability to track multiple keywords all at once including Boolean search strings (ex. “marketing profs” and not “university”)
Where the pro system really starts to leave the manual methods behind is in analysis across all posts, in our case in real-time as well. You can graph trends, compare levels of buzz, uncover popular word use (for surfacing potential issues) etc… We also have the ability to crunch all of this data plus additional metrics like on-topic inbound cross-linking to tell a user who the most influential sites are within a topic. Again, this comes back to time as someone can then decide to focus their outreach efforts to those with the most influence with in the brand category for example.
Hope this help to clarify the difference.

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