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Our company figured out several potential customers. Companies that focus on developing spamfilters should be interested in our product. Cause learning about spammers through the provided analytics means fighting them. Categorisation improves a spamfilter. The user is theoretically able to decide which spam he wants achieve. This depends on the implementation of course.
Marketing and research companies could use the data to figure out which business is harmed by the spammers and where do these criminals operate from. E.g. a watch producing company has trouble with brand imitating criminals. If a large amount of spammers offering watches come from holland, it is an advice for further investigations.
At this point customers and users will be differentiated. Looking at the potentail customers the real users are their employees. Naturally these users are well educated in computer science und their daily job is to work with an personal computer. Therefore problems in system handling or installation are not expected. According to its implementation our system is a simple client server application working with script language and a database. Moreover our product is generally delievered with an detailed documentation. In last instance please contact our support an service hotline.
Except from users which are in the role of a customers employee there the so calles frontend users.
Especially the analytic part could be an interesting rubric for webmail users. Their mails will be filtered by the webmail platform as normal, but now a user can see who and how this one has spammed him or her. As said, just an entertaining gimmick, but never the less thoughtable.
Our company figured out several potential customers. Companies that focus on developing spamfilters should be interested in our product. Cause learning about spammers through the provided analytics means fighting them. Categorisation improves a spamfilter. The user is theoretically able to decide which spam he wants achieve. This depends on the implementation of course.
Marketing and research companies could use the data to figure out which business is harmed by the spammers and where do these criminals operate from. E.g. a watch producing company has trouble with brand imitating criminals. If a large amount of spammers offering watches come from holland, it is an advice for further investigations.
At this point customers and users will be differentiated. Looking at the potentail customers the real users are their employees. Naturally these users are well educated in computer science und their daily job is to work with an personal computer. Therefore problems in system handling or installation are not expected. According to its implementation our system is a simple client server application working with script language and a database. Moreover our product is generally delievered with an detailed documentation. In last instance please contact our support an service hotline.
Except from users which are in the role of a customers employee there the so calles frontend users.
Especially the analytic part could be an interesting rubric for webmail users. Their mails will be filtered by the webmail platform as normal, but now a user can see who and how this one has spammed him or her. As said, just an entertaining gimmick, but never the less thoughtable.
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