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How do you know if a program like this is really working It may look good on paper and it may seem to be generating leads and appointments, but is it really better than the old system of letting leasing managers forage for themselves How can you prove that the money spent is really worthwhile There is a really simple way to determine whether a program like this is successful: Are the leasing managers using it At rst, only 7 of the 30 leasing managers signed on to use the system. As the success of the program became clear, more and more leasing managers signed on. At the end of 6 months, 20 of the leasing managers were actively using the system. It became the central focus of the Key Equipment Financing lead-generation program. Within 4 months, the lease accounts generated by the program as a percentage of total accounts grew from 1 percent to 1.5 percent an increase of 50 percent. At the same time, the program also boosted the loan accounts generated by the program from 2 percent to 4 percent a gain of 100 percent in 4 months.

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not require anything but market data) and are fairly simple to implement, characteristics they share with breakout and moving-average models. However, breakout and moving-average models tend to enter the market late, often too late, because they are designed to respond to, rather than anticipate, market behavior. In contrast, oscillators anticipate prices by identifying turning points so that entry can occur before, rather than after, the market moves. Since they attempt to anticipate prices, oscillators characteristically generate countertrend entries. Entries are commonly signaled by divergence between an oscillator and price. Divergence is seen when prices form a lower low but the oscillator forms a higher low, signaling a buy; or when prices form a higher high but the oscillator forms a lower high, signaling the time to sell short. A signal line is another way to generate entries. It is calculated by taking a moving average of the oscillator, The trader buys when the oscillator crosses above the signal line and sells short when it crosses below. Although typically used in trading range markets for countertrend entries, an oscillator is sometimes employed in a trend-following manner: Long or short positions might be entered when the Stochastic oscillator climbs above 80 or drops below 20, respectively. Entry models that employ such classic oscillators as Lane s Stochastic, Williams s RSI, and Appel s MACD are studied in 7.

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One company provided content management solutions to more than 1200 companies worldwide. In its marketing programs, the rm produced online events, conducted telemarketing, and sent out direct mail and email. Despite the advanced technology of its products, it did not have very good systems for lead management. A review of its situation disclosed that the company had No lead-management system or method of lead-quality measurement No system for lead reporting, distribution, or tracking No e-marketing campaigns No integration of outsourced telemarketing with other lead activities An average of two online events per month that produced about 300 leads per quarter An average cost per lead that exceeded $500 more than double that of other programs To solve these problems, the company created a new, home-grown lead-management solution. The core component was a central database that cleaned and standardized information on leads for distribution to the corporate sales force automation tool, SalesLogix. The system provided a closed-loop tracking mechanism that assigned a unique ID to each lead. The system included An online event registration system that captured not only the contact information, but also data about the lead and its possible need for the company s products. A global campaign information database that was used by marketing managers to input campaign details through a Web interface. The information was sent to the SalesLogix system to track the lead distribution resulting from the campaigns. The lead-submission process was changed from sending random emails, Excel spreadsheets, or voice messages manually to the use of an online Web form. This Web form allowed standardization of the information that was gathered about contacts.

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8 deals with seasonality, which is construed in different ways by different traders. For our purposes, seasonalify is defined as cyclic or recurrent phenomena that are consistently linked to the calendar, specifically, market behavior affected by the time of the year or tied to particular dates. Because they are predictive (providing trading signals weeks, months, or years ahead), these models are countertrend in nature. Of the many ways to time entries that use seasonal rhythms, two basic approaches will be examined: momentum and crossover. The addition of several rules for handling confirmations and inversions will also be tested to determine whether they would produce results better than the basic models.

whom to contact, as it prioritized customers, looking at each customer and evaluating whether that customer needed to be contacted. Events were detected by a set of business rules that searched the database nightly or weekly to determine if there had been any signi cant changes in a customer s life. For example, if a customer made a large deposit in a low-interest account, the system alerted a banker to contact the customer and let the customer know that he or she was losing money. Before implementing its event-driven marketing approach, the bank was concerned that customers might be sensitive to the Big Brother effect. Customer feedback from the pilot program showed that the fears were unjusti ed and proved the relevancy of both the offer and the quality of the interactions.

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