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Article Promotion - Comparing Your Profitability With The Articles You Submit
Many people use article marketing to advertise their websites. Using articles for this purpose can demonstrate your credentials to share information to the broader internet community.
If you are involved in this promotion method have you ever stopped to consider to what extent this activity of article marketing is bringing in revenue for your online efforts. If not, you are highly recommended to spend some time correlating revenue to article marketing.
While article marketing includes many factors such that an exact computation of advantages in revenue terms is difficult, we cannot escape the fact that when it comes to profitability of any internet business, we must reckon in terms of pounds and pennies.
Here statistics play a big part in correlating revenue to articles and I would like to suggest a way that you can check your article marketing statistics.
Simple calculations can help to compare revenue to the number of articles we write, even though there are factors specific only to a certain author that are not common to any other person.
Over a period of time of, say, 6 months, an author of various articles can graph receipts derived from article writing with the "y" axis as Revenue and the "x" axis of the graph as the quantity of articles written, every time maintaining the number of article sites to which the article was submitted at a constant figure.
For example if you are marketing these articles to sites such as ezinearticles.com or goarticles.com, your revenue that goes to the "y" axis is the payout derived for the month from using solely article marketing, and the "x" axis will be the number of articles submitted.
Over a time-span of 6 months, you will have sufficient evidence on the graph to make a straight line that goes through nearly all these points on the graph where the line is represented by the equation y=mx+c
The function of the regressed straight line will show that the revenue derived is a function of "m" which is the gradient of the line, and a constant "c".
The constant "c" is the value at which the straight line intersects the "y" axis and this is the particular part which stems from the individual and is an indication of his talents in article writing, his style of writing, his command of the language and factors that only the individual possesses.
By studying revenue obtained against number of articles submitted, keeping other factors unchanged, it will be possible to assess the quality of the author's writing and form a rough basis to forecast further profitability to the number of articles scheduled for submission, ignoring other factors such as keyword selection, onsite and offsite search engine optimisation which are not included in the study, and only on the basis of the individual's writing "flair" and abilities as measured by the constant "c".
This is by no means exact; but keeping statistics and charts like these is useful in helping the marketer become aware of sudden trend changes, particularly where performance falls.
He can then consider what has caused this change and take note of details that may be otherwise missed.
Many use software to track earnings, but most scripts do not include graphical analysis. When the charting is done manually the internet marketer notices sudden changes or is able to plan what to change to derive more revenue.
He can go deeper to ask this question: " Since the revenue is directly proportional to the slope of the revenue line, what factors will change the slope?".
Knowing these factors, he can vary them and test the changes.
By correlating revenue with articles written, the internet marketer can forecast profitability, no matter how rough the estimate. He has on his hands a set of statistics to use for more analysis, or in marketing terms "testing".
Article Promotion - Comparing Your Profitability With The Articles You Submit
If you are using article marketing to promote your website, have you done any analysis to check the profitability of your articles? It's very important that you keep track of your statistics to help forecast your revenue and watch for any sudden changes.
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