As you may know by now, my priority is providing you all with knowledge about HYIPs. If you are considering investing money into a HYIP, I want you to have as much information as possible to decrease your risk of loss. This third installment in my Do your Research series focuses on Favorable Traffic Analysis Graphs. Traffic graphs give us visitor trends, showing us the number of people that are visiting HYI program websites. This information allows us to estimate program life based on the popularity of the website. It is important to know that all information derived from these graphs is subject to interpretation and information derived may not always be clear. We also should note that all programs are different, and a favorable graph does not always mean the program will be successful and profitable. The information obtained from this analysis is far from perfect, but can provide us with very useful indicators that can help us determine if a program is worth investing our money into.
Perhaps the most widely used traffic analysis graph is the Alexa Graph. Alexa is a subsidiary company of Amazon.com that provides information about websites including: statistics, sites linking in, and audience demographics among other information. Alexa is an industry leader that is widely used; therefore, information is available for a large number of websites that may not show up on other traffic analysis sites. Alexa graphs are useful in our analysis of HYI programs because we can make assumptions based on our knowing the number of people visiting a HYIP’s website.
I’m going to take some time to show you different Alexa graphs taken from HYI programs and I will explain possible ways to interpret each graph. For these examples I’ve removed the names of the HYIP as I want you to consider the analysis of the graphs without any other opinions on the site. In this article I’m going to cover three different types of trends: exponential growth, gradual growth, and high growth.
The first graph we’ll look at is usually seen as the most favorable graph a program can have. This graph shows two programs with exponential growth.
A program that follows the above trend starts off slowly and has an ever-increasing number of visitors until the program closes. This is the ideal structure for a long-term program as it continues to build upon itself for an indefinite amount of time. Programs that continue with the above trend have the potential to sustain themselves for years. At the same time, programs with this sort of graph are almost guaranteed to be bringing in large amounts of money, something that can tempt a dishonorable program admin to “close the doors” and turn scam, similar to what the second graph shows, a sudden unexplainable end to a seemingly healthy, profitable program.
The next graph we’re going to look at is another favorable one, the slow and steady, or gradual growth graph.
This type of graph, while not as impressive as the exponential growth graph, can be interpreted as a safe and healthy traffic trend. Most exponential growth trends start with a gradual growth trend as the program becomes popular and perceived as stable. Gradual growth programs could even be interpreted as being more stable programs than those with exponential growth as the program is sustaining itself without any large increases in cash flow which could tempt the program’s admin to turn scam and run with the money.
The danger of a gradual growth trend is that it can easily become a gradual decline trend or a non-growth trend. Both of these negative trends will be explained in detail in a walkthrough article coming soon.
The third of the common favorable graphs is the high growth trend. This is perhaps the most dangerous of the favorable trends, as a program with a high growth trend starts its life bringing in high profit that continues throughout its life.
While both of the above graphs look incredibly different at first glance, they both represent programs with high growth trends. The first graph shows a program with high growth trend that has just started and continues to be popular and bring profit both to the program as well as the investors. The second shows the complete life of a different program with a high growth trend. Popular low-term programs very often have high growth trends, and at the same time they very commonly are timed scams, or programs that close at some predetermined time, usually when the program hits an unknown (except by the program admin) deposited amount. It is because of this fact that programs with high growth trends are more risky than those with gradual growth.
All of the above traffic analysis graphs have favorable trends and represent programs that could be potentially profitable. Programs showing traffic trends that match or are similar to the above have an advantage over other programs because they show website popularity. All HYIP programs rely on investors to survive. Without sufficient investors, a program will close. Because of this, traffic trends are extremely useful when analyzing the stability and life of a program. When deciding on which programs to invest money into, it is my advice to seek programs that display positive traffic trends similar to those shown above.
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