Saturday, August 29, 2009

Membership Web Sites Are Cash Cows

By Simon Tidwell

Recently, as the economy has worsened, many people are turning to the Internet to make money. They spend many hours searching for the "right" product, or maybe they develop some new program, or they want to set up a retail site. The ideas are endless. Unfortunately, most people never make a profit from the Internet.

You are probably aware that many people are making over $100,000 every year on the Internet. How do they do that? They have learned a secret formula for success and they repeat it over and over again. These successful internet entrepreneurs usually stay quiet about their secret method, because they are afraid that if they reveal it, it won't work for them anymore.

One of the secrets that have made many people a lot of money is using membership sites. Big sites like Facebook and U-tube come to mind, but there are literally thousands of membership sites. You are probably signed up on one or two membership sites yourself. The secret of many of the membership sites is that you can get paid a recurring membership fee if you have something that people want. Dating sites, for example often charge $20 - $40 a month. If you have a good membership site, you can earn $240 - $480 per year, per customer.

Niche membership websites are all over the internet and you may never have heard of them, unless they are about something that you are interested in. Could there be a membership site for dog groomers, dentists, skateboarders, or roller derby enthusiasts? Absolutely, and if you had a site that the people found and wanted to join, you are going to make money. But to avoid the costly mistakes that can doom your project, you will need some information and help before you get started.

Ideally, you would have a friend or business coach who has experience in setting up a membership site and can help you get the facts on how to do it. If you don't have that you could scour the search engines, but it would take you a long time to track down reliable data.

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