Article Submission - Correlating Your Revenue To The Articles You Publish
Many people use article marketing to publicize their websites. Utilizing articles for this purpose can afford proof of your credentials to share knowledge 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 benefits in income terms is difficult, we cannot forget the fact that when it comes to profitability of any internet business, we must reckon in terms of dollars and cents.
Here statistics play a big part in correlating revenue to articles and I would like to propose a way that you can check your article marketing statistics.
Simple mathematics can help to compare revenue to the quantity of articles we write, even though there are factors specific only to a specific author that are not common to any other individual.
Over a period of time of, say, 6 months, an author of different articles can graph revenue derived from article writing with the "y" axis as Revenue and the "x" axis of the graph as the quantity of articles prepared, every time maintaining the number of article depositories 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 the time-span of 6 months, you will have adequate documentation on the graph to draw a straight line that goes through most of these points on the graph where the line is represented by the equation y=mx+c
The function of the regressed straight line will indicate 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 where the straight line intersects the "y" axis and this is the particular part which stems from the author and is an indication of his skills in writing, his style of writing, his command of the language and factors that only the individual possesses.
By studying income obtained vs number of articles submitted, keeping other factors unchanged, it will be possible to determine the quality of the author's writing and form a rough basis to forecast further income to the number of articles planned 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 identify sudden trend changes, particularly where performance drops.
He can then consider what has caused this change and highlight 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 consider what to change to attract 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".
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