Here’s a quick post to show the number of post containing “Adobe Apollo”. I post it here because I had already see some chart of Technorati, but never found were it was… (okay maybe it’s obvious but forgive my blindness).
This tool is very useful for marketer but it’s not the only tool that we can use to monitor the result of our web-marketing.
Others free tools usable to monitor buzz :
It’s not so much that I’m a fan a buzz monitoring, but it’s a big part of the thesis that I’m writing, normally in march 30 it will finally be finished! I’ll post a lot more about buzz and web-marketing after this date.
Please if anyone know other free tool to monitor buzz and trends please comment or contact me (top right).
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Blogpulse and Technorati are the two comparison tools I use most often. Google Trends measures search rather than blogging and doesn’t have finegrained controls. I had used Icerocket for search but didn’t realize they had charting; thanks for the tip.
Problems with current approaches:
o No one database has complete samples… if you browse through their entries on a term you’ll see each has results the others lack. These are snapshots from different viewpoints, rather than authoritative universal metrics.
o Technorati has a particular problem with spam echos… stories often seem to last longer than real comment actually does, because the spam blogs copy and recycle words others wrote. (The “authority” popup helps, but just measures incoming links.)
o Finding the right terms is still key… when I search on “Apollo” I end up reading a lot about astronauts, and some search engines won’t accept complex terms such as “adobe, apollo”.
Sometimes it’s not the absolute values which are important, but the shapes of different types of graphs over time. This chart on “wpf/e”, for instance, shows it got a lot of coverage during the Dec 5 launches, but has just sort of trundled along after that, with weekly peaks declining:
If I had to choose one of them, then Blogpulse Trends is most important to me, because it allows comparative charting of trends, has adjustable dates, and the collection sample, while not complete, is of pretty good quality.
Good luck on the thesis, Ahmet, and thanks for the tip on Icerocket’s charting!
Thanks JD for your comment,
I totally agree with what you said but have to say somethings…
Let me begin with the end.
The right terms might be hard to find, that’s true, but do you really thing that the percent of people talking, in the last 3 month, about Apollo are referring to astronauts? I don’t and I may be totally wrong…
For complex terms, I just have no way (I guess) to know if the search engines understand it or not. Although, I my point of view, if you have an algorithm for one string it should be ok … but well. If someone got more precise news about it please share 😉
Secondly for spam echos, well you are right, and I didn’t even thought about it… I guess that why I used several services and then aggregated the data to one, but it’s true that we cannot trust Internet data. Which links to your first comment about the completeness of sample.
Nevertheless, I think that Buzz analysis can really help compared to traditional study from 3000 to 5000 people. Look for example to my (not academic) parallels between usual stats and buzz stats in politics we can see that the results are nearly the same. The future will say if my projection (not shred yet) are right or wrong 😉