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Amazoncom was the first to give this model a try and has been very successful at it Whether you call it an associate's program or an affiliate's program doesn't matter All that matters is that the link from the selling site to yours is appropriately coded so that your server can recognize which lead came from which site We want to be able to appropriately compensate our partners Amazon takes it a step further Even if the visitor doesn't buy the specifically offered product, the associate has a chance to earn anyway Amazon describes it this way: Amazoncom Associates earn up to 15% of the sale price on individually linked books that you feature on your site and 5% on anything else that is purchased through your links, including CDs, videos, DVDs, toys, consumer electronics, and more.

< xml version="1.0" > <!DOCTYPE shop[<!ELEMENT shop(shoplist)+> <!ELEMENT shoplist(itemname,price,qty,memory)+> <!ELEMENT itemname (#PCDATA)> <!ELEMENT price (#PCDATA)> <!ELEMENT qty (#PCDATA)> <!ELEMENT memory (#PCDATA) #REQUIRED> <shoplist> <itemname> Computer </itemname> <price> $500 </price> <qty> 2 </qty> <memory> 1.2MB </memory> </shoplist>

(gdb) attach 20578 Attaching to process 20578 0x4015a344 in () (gdb) continue Continuing. Program exited with code 02. (gdb)

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Measuring the amount of sales made from various associates tells you who your friends are, but measuring the number of clicks per associate visitor and the number of sales per click can help you help your associates sell more Let's say you're running the Iranian Movies site (wwwiranianmoviescom) You notice that Iran Kicks (wwwirankickscom) is outselling Iran Gift Shop (wwwirangiftshopcom) and Debugger Techno International (wwwtechno-intcom) by orders of magnitude You may be getting more visitors from Iran Gift Shop, and they certainly have a nicer looking site, but if the visitors from Iran Kicks are buying more per capita, then you might be able to help Iran Gift Shop (and yourself) make more money by studying their fellow associates Commission Junction (wwwcj.

com) terms this per capita purchasing ratio as earnings per click (EPC) and uses it to help affiliates choose between associate programs they might wish to join This is from their Open Marketplace FAQ (wwwcjcom/downloads/ppfaqasp): EPC stands for "average earnings per one hundred clicks" and is a relative rating that shows effectiveness It illustrates the ability to convert clicks into commissions EPC is the primary metric being used in the Open Marketplace and will be published for each advertiser, publisher, and ad in the network EPC metrics will be published in two forms, as a 7-day EPC and a 3-month EPC The basic formula for calculating EPC is: Commissions earned (or commissions paid) divided by total number of clicks times 100.

You could utilize this frameset with the company logo and other data displayed all the time while you show a sequence of forms in the main display area.

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Advertiser and publisher 3-month EPC is calculated using commissions from the previous 3 months for which the commission payouts have stabilized (this can take up to two months, after which reversal and batch upload deadlines have passed) For example, in the month of July, the 3-month EPC will include revenue and clicks from February, March, and April Seven-day EPC is designed to reflect recent performance It is responsive to recent changes in the Open Marketplace, but lacks the stability of the 3-month figure Seven-day EPC is calculated using data collected seven days leading up to the prior Monday This time period will be used for one week (recalculated nightly for that same time period) On each Tuesday morning the time period will shift by 1 week..

211-212: The modified XML request is then sent to the listener, and since the mode of communication between the listener and the client is XML, the response sent by the listener is passed directly on to the XML parser 214: A function parseData is called, which is used for parsing the XML response sent by the listener to the client machine, making the connection_flag true 234-240: If both the connection_flag and the ip_flag are true, the caret on the TextField is killed and the spotlet is unregistered, thereby making way for the next spotlet A class showfiles is called, which contains the parameters constructed during the parsing Lines 245-248: The code is used when the user presses the Exit button When this button is pressed, the application is closed, and the control is returned to the OS Lines 261-339: The code pertains to an important function parseData.

Second level: Tactical management is the middle level of management. Managers at this level very often use MRSs for summarized information and generate management reports for decision making. Third level: Operational management is the lowest level of management. Foremen and supervisors are at this level. TPSs with large routine processing capability are usually used for this management level.

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