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Article Submission - Correlating Your Revenue With The Articles You Write
Many people use article marketing to advertise their websites. Utilizing 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 incorporates many variables such that an exact calculation of benefits in revenue terms is difficult, we cannot run away from 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 comparing revenue to articles and I am about to propose a way that you can check your article marketing statistics.
Simple maths can help to compare revenue to the quantity 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, for example, 6 months, a writer of different articles can graph income 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 sites to which the article was submitted 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 sent.
Over the time-span of 6 months, you will have plenty of 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 demonstrate that the return 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 intersects the "y" axis and this is the particular part which stems from the author and is an indication of his talents in article writing, his style of writing, his command of the language and other factors that only the individual shows.
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 profitability to the number of articles scheduled for submission, ignoring other factors such as keyword selection, 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 recording statistics and charts like these is useful in helping the marketer notice sudden trend changes, particularly where performance drops.
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 incorporate graphical analysis. When the charting is done by hand the internet marketer notices sudden fluctuations or is able to think about 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".
Article Submission - Correlating Your Revenue With The Articles You Write
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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