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The EVPA also identi ed star donors, donors who at one time in their history had given to three out of four consecutive card programs and who had responded at least twice in the last 12-month period. This is a subset of the active donor category. The EPVA s goals for the future were as follows: 1. Determine donor pro les. Who are our donors What are the attributes of a star donor What are the differences between multiple- and single-gift donors What characteristic should we be looking for when we rent prospect names 2. Segmentation. What donors should be selected for what mailings Establish giving patterns and program interrelation. What modeling approach should we pursue Basically, we need to optimize our mailing plans. 3. Lifetime value. Which acquisition lists pull the best over the long haul What effect do different test formats have on subsequent mailings Would donors produce more revenue over the long term if they were mailed to less or more frequently 4. Product analysis. Which products are the most effective in retaining donors How do reminder mailings affect donor behavior Are there groups of donors who consistently give to only one or two products a year, and what would happen to overall revenue if we mailed only those products to them 5. Upgrading donors. What are the best methods of increasing donors gifts

At AMC we don t believe in skipping meals and this is particularly important when it comes to breakfast. The fact is we need a continual supply of nutrients to help break down and eliminate toxins and to support the genes that protect against disease. Eating smaller portions of food throughout the day starting with breakfast gives your body the lifesaving nutrition it needs. The toxins to which you may have been exposed on your drive home from work have a better chance of being detoxified if you replenish your system with the nutrients it needs starting at breakfast the following day. Do not confuse skipping a meal especially the first meal of the day with some form of fasting. Skipping

Since breakout systems buy or sell into trends, they are prone to sizeable slippage; however, if well-designed and working according to theory, occasional strong trends should yield highly profitable trades that make up for the more frequent (but smaller) losers However, the consensus is that, although their performance might have been excellent before massive computational power became inexpensive and widespread, simple breakout methods no longer work well As breakout systems were developed, back-tested, and put on-line, the markets may have become increasingly efficient with respect to them The result is that the markets current noise level around the prices where breakout thresholds are often set may be causing many breakout systems to generate an excessive num-.

To achieve these goals, EPVA worked with CSC to undertake several projects. 1. Donor pro les. Create a sample of 400,000 records, with 100,000 in each of the following categories: Star donors Nonstar donors single donors Nonstar donors multiple donors Nonresponding rental les Use the demographic data available on these records to determine the pro le of these people, measuring their Gender Household income Age Housing type (own or rent and single family or multifamily) Ethnicity Presence of children Years at present address State Urban vs. suburban vs. rural DMA areas Occupation of head of household Education Marital status Number of adults in household 2. Create segments. EPVA planned to append Prizm codes to four groups of 10,000 each: Star donors Nonstar donors single donors Nonstar donors multiple donors Nonresponding rental les These data would help EPVA to determine which lifestyle groups were more responsive to the EVPA message than other groups. The results would be used for future list selection and donor mailings.

ber of bad entries; this is especially likely in active, volatile markets, eg, the S&P 500 and T-Bonds Finally, it is easy to encounter severe slippage (relative to the size of a typical trade) when trying to implement trading strategies using breakout entries on an intraday time frame; for longer term trading, however, breakout entry strategies may perform acceptably A well-designed breakout model attempts to circumvent the problem of market noise to the maximum extent possible This may be accomplished by placing the thresholds at points unlikely to be reached by movements that merely represent random or nontrending market activity, but that are likely to be reached if the market has developed a significant and potentially profitable trend.