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Article Submission - Comparing Your Income To The Articles You Submit
Many people use article marketing to advertise their websites. Using articles for this purpose can establish your credentials to share skills 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 variables such that an exact computation of benefits in revenue terms is difficult, we cannot escape the fact that when it comes to profitability of any internet business, we must think in terms of hard cash.
Here statistics play a large part in comparing revenue to articles and I am about to suggest a way that you can check your article marketing statistics.
Simple mathematics can help to compare revenue to the number of articles we write, even though there are factors specific only to a particular author that are not common to any other author.
Over a certain time of, for example, 6 months, a writer of various 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 written, every time keeping the number of article directories 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 only article marketing, and the "x" axis will be the number of articles submitted.
Over the time-span of 6 months, you will have sufficient evidence on the graph to form a straight line that goes through the majority of 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 return 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 individual and is an indication of his abilities in authorship, his craft of writing, his command of the language and other factors that only the individual shows.
By studying revenue obtained vs number of articles submitted, keeping other factors unchanged, it will be possible to gauge the quality of the author's writing and form a rough basis to forecast further revenue to the number of articles planned 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 talent 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 falls.
He can then consider what has caused this deviation and highlight 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 by hand the internet marketer notices sudden changes or is able to consider 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 further analysis, or in marketing terms "testing".
Article Submission - Comparing Your Income To 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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