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Archive | March, 2017

The Spamming Trap For Online Business Beginners

People who begin their online business ventures would naturally be unaware of many of the internet business rules, protocols and etiquettes. Yet, as in any law, the internet law does not forgive for ignorance. One of the most important issues that are governed by many controls over the internet is Spamming.

A beginner in online business can very easily fall unintentionally into the spamming trap while conducting internet marketing activity to promote his/her business.

Spamming has many faces and forms depending on the marketing activity performed. We will list the marketing activity, the possible spamming forms within each marketing activity, possible consequences and how to avoid unintentional spamming in each spamming form.

1- E-mail Campaigns: The most common spamming method is conducted through e-mail campaigns. E-mail spamming is when you send an e-mail promoting your product or service to someone who did not request any information from you. In many cases beginners fall into the trap of buying lists of e-mails from questionable sources and when sending the e-mail campaign they would realize that one of the following occurred:

a. Received direct complaints.
b. The e-mail account gets shut from the ISP or the hosting provider.
c. Contacted by internet police.

How to avoid e-mail spamming:

a. Make sure that the person who you are sending your campaign to has requested information from you or allowed you to send him e-mails.

b. When buying e-mail lists make sure that the list is safe and has allowed e-mails to be sent to them.

c. Ensure to have a statement at the end of your e-mail that would allow the recipient of your e-mail campaign to opt out if they do not wish to receive any communication from you.

2- Link Submission: Spamming in Link submission could be done in different forms but to cut the story short, you should follow the rules of each directory carefully. Among the very famous rules that are common across many link submission directories:

a. Do not submit your website link in more than one category.
b. Do not submit different pages of your website; submit only your top level link.
c. Do not submit your link more than once. Search the directory to check if your link already exists.

Failing to follow the rules of each directory would delete your link immediately at this particular directory.

3- Article Submission: Just like link directories, article directories have their own rules as well. Not complying with these rules will make those directories decline your articles. Among the most famous rules are the following:

a. Submit your own work and not somebody else’s.
b. Submit a topic that is acceptable by the directory.
c. Do not make your title all in Capital letters. Use Title Caps form.
d. Do not Bold your key words within your article.

4- Posting in Forum: Again you have to read the rules of each forum you intend to be part of before you make any posts. Among the most famous rules are the following:

a. Do not advertise your business in your posts.
b. Do not include affiliate links in your posts.
c. Follow the exact rules of the forum for your sig. file.

Failing to comply will make the forum moderators cancel your account permanently.

5- Blogging: Filling your Blog by copying other people’s articles could eliminate your account permanently with your Blog host.

6- Search Engine Related Spamming Activity:

a. Filling your site content with your keywords will be considered spamming by search engines.
b. Submitting your website to link farms will be considered spamming by search engines.
c. Adding huge amounts of content to your website while your site niche does not usually require such additions will be considered spamming by search engines.
d. Submitting your website to FFA’s could be considered as spamming by search engines.
e. Including Keywords in your Keyword tag on your website while they are not related to your website could be considered as spamming by search engines.

I hope this will help all online business beginners to avoid the spamming trap and have a smooth and successful internet marketing activity.

Get Rid Of Spam

Every day, both dmoestic and corporate users of the internet receive considerable amounts of spam e-mail. They are not only annoying, but sometimes you can miss an important e-mail or newsletter simply because you lose it among the great number of e-mails that flood out your Inbox. Often you’ll find that important people neglect to read your e-mail, because busy people like them hardly have the time and patience to browse through the huge quantities of spam mail they receive.

One solution to this problem is a filter or a free spam blocker. Many companies have designed filters for their customers. Many e-mail servers, especially the renowned ones that have a reputation to protect, have their own free spam blocker. There are several types of programs that can help you stop spam, including:

– the ones that are offered when you create a new e-mail address. Every company that provides e-mail service has a spam filter, including those that offer free accounts like Hotmail, Yahoo!, Gmail and so forth.

– there are also standalone programs that go through your mail folders regularly and do their best to separate valid e-mail from spam and unwanted mail. The main disadvantage with these free spam blockers is the fact that, when they do their checks, they use quite a large percentage of your computer’s resources and sometimes also of your bandwidth. Before installing this kind of free spam blocker, you’ll need to decide if this is okay with you.

– other types of free spam blockers are the ones that work as plug-ins to other programs like e-mail clients. The disadvantage with this kind of approach is that you need to download all your mail anyway, before the plug-in can do its stuff.

When you decide to use a filter, you must be sure that you update it or install new versions regularly, because marketing researchers working for spammres are continuously developing new ways of ‘fooling’ the filters. Filter makers must keep up by improving their software accordingly.

A free spam blocker works by looking for trigger words or phrases inside the text of the e-mails, and categorizing e-mails on that basis. Nowadays, there are special programs being created that are designed to pass spam through free spam blockers by re-arranging words or using a different language style in the e-mails. This is an unfair marketing strategy, of course, but if you want to be protected against it, you must always have an up-to-date version of your free spam blocker program.

Specialists recommend that you should review your needs and see what kind of filter suits you best. Each approach has its advantages and disadvantages. You must make up your mind whether you want to use the default filter on the e-mail server, or if you want to download all your mail before scanning them, or if you are willing to share your bandwidth with a standalone application. The best way is of course, if you can blend all the programs in one, but that’s not always practicable. Still, it is advisable that you should not remain satisfied with the free spam blocker that your e-mail server provides, because you will probably continue to receive unwanted mail in spite of it. Using a plugin in addition to server-side filters is viewed by many experts as the most effective way of getting rid of spam, considering the trivial effort it takes to set up.

Two Main Groups Of Spam!

There are two main types of spam, and they have different effects on Internet users. Cancellable Usenet spam is a single message sent to 20 or more Usenet newsgroups. (Through long experience, Usenet users have found that any message posted to so many newsgroups is often not relevant to most or all of them.) Usenet spam is aimed at lurkers, people who read newsgroups but rarely or never post and give their address away. Usenet spam robs users of the utility of the newsgroups by overwhelming them with a barrage of advertising or other irrelevant posts. Furthermore, Usenet spam subverts the ability of system administrators and owners to manage the topics they accept on their systems.

I think it’s possible to stop spam, and that content-based filters are the way to do it. The Achilles heel of the spammers is their message. They can circumvent any other barrier you set up. They have so far, at least. But they have to deliver their message, whatever it is. If we can write software that recognizes their messages, there is no way they can get around that. Email spam targets individual users with direct mail messages. Email spam lists are often created by scanning Usenet postings, stealing Internet mailing lists, or searching the Web for addresses. Email spams typically cost users money out-of-pocket to receive. Many people – anyone with measured phone service – read or receive their mail while the meter is running, so to speak. Spam costs them additional money. On top of that, it costs money for ISPs and online services to transmit spam, and these costs are transmitted directly to subscribers.

The statistical approach is not usually the first one people try when they write spam filters. Most hackers’ first instinct is to try to write software that recognizes individual properties of spam. You look at spams and you think, the gall of these guys to try sending me mail that begins Dear Friend or has a subject line that’s all uppercase and ends in eight exclamation points. I can filter out that stuff with about one line of code.

But the real advantage of the Bayesian approach, of course, is that you know what you’re measuring. Feature-recognizing filters like SpamAssassin assign a spam score to email. The Bayesian approach assigns an actual probability. The problem with a score is that no one knows what it means. The user doesn’t know what it means, but worse still, neither does the developer of the filter. How many points should an email get for having the word sex in it? A probability can of course be mistaken, but there is little ambiguity about what it means, or how evidence should be combined to calculate it. Based on my corpus, sex indicates a .97 probability of the containing email being a spam, whereas sexy indicates .99 probability. And Bayes’ Rule, equally unambiguous, says that an email containing both words would, in the (unlikely) absence of any other evidence, have a 99.97% chance of being a spam.

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