Article Promotion - Comparing Your Income To The Articles You Compose
Many people use article marketing to advertise their websites. Utilizing articles in this way can establish 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 calculation of benefits in revenue terms is difficult, we cannot forget 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 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 peculiar only to a particular author that are not common to any other person.
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, each time keeping 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 sent.
Over the time-span of 6 months, you will have adequate data on the graph to form 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 indicate that the revenue 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 a representation of his abilities in article 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 get an indication of the quality of the author's writing and form a rough basis to project further revenue 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 recording statistics and charts like these is useful in helping the marketer identify sudden trend changes, particularly 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 track earnings, but most scripts do not include graphical analysis. When the charting is done manually the internet marketer notices sudden fluctuations 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 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 To The Articles You Compose
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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