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Article Promotion - Comparing Your Income With The Articles You Publish
Many people use article marketing to promote their websites. Utilizing articles in this way can afford proof of 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 income for your online efforts. If not, you are highly recommended to spend some time correlating revenue to article marketing.
While article marketing incorporates many factors such that an exact calculation of benefits in financial terms is difficult, we cannot run away from the fact that when it comes to profitability of any online business, we must think in terms of pounds and pennies.
Here statistics play a large part in comparing revenue to articles and I wish to explain a way that you can check your article marketing statistics.
Simple mathematics can help to project revenue to the amount of articles we write, even though there are factors peculiar only to a specific author that are not common to any other person.
Over a certain time of, for example, 6 months, an author of several articles can graph revenue derived from article writing with the "y" axis as Revenue and the "x" axis of the graph as the number of articles submitted, each time keeping the number of article sites to which the article was sent at the same 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 just article marketing, and the "x" axis will be the number of articles sent.
Over the period of 6 months, you will have plenty of details on the graph to draw a straight line that goes through nearly all the points on the graph where the line is represented by the equation y=mx+c
The function of the regressed straight line will demonstrate that the income derived is a function of "m" which is the slope of the line, and a constant "c".
The constant "c" is the value where the straight line cuts the "y" axis and this is the particular part which stems from the author and is a representation of his skills in article writing, his craft of writing, his command of the language and other factors that only the individual demonstrates.
By studying earnings obtained vs number of articles submitted, keeping other factors constant, it will be possible to measure the quality of the author's writing and form a rough basis to project further income to the number of articles scheduled for submission, ignoring other factors such as keyword choice, onsite and offsite search engine optimisation which are excluded from 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 recording statistics and charts like these is useful in helping the marketer identify sudden trend changes, especially where performance drops.
He can then study what has caused this deviation and take note of details that may be otherwise missed.
Many use software to record earnings, but most scripts do not incorporate graphical analysis. When the charting is done manually the internet marketer notices sudden fluctuations or is able to consider what to alter to bring in 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 project profitability, no matter how rough the estimate. He has on his hands a set of statistics to use for further analysis, or in marketing terms "testing".
Article Promotion - Comparing Your Income With The Articles You Publish
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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