Cookbook Modeling Data for Marketing 4 potx

Cookbook Modeling Data for Marketing_4 potx

Cookbook Modeling Data for Marketing_4 potx

... 0.0000096308 * toa_cu + 0. 040 987 * tob_log + 0.11823 * inq_sqrt + 0.000312 04 * top_logi - 0.0000 245 88 * top_cu - 3 .41 1 94 * top_cui + 0.63959 * crl_low + 0. 147 47 * brt_log - 0.30808 ... customers 50,000 35,500 28, 045 Renewal rate 71% 79% 85% Total revenue $30,710,500 $21,8 04, 455 $17,225,519 Policy maintenance & claims $9,738,150 $8,0 04, 309 $7,1 84, 680 Gro...

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Cookbook Modeling Data for Marketing_1 doc

Cookbook Modeling Data for Marketing_1 doc

... values. data acqmod.model; set acqmod.model; if 25 <= infd_ag <= 34 then age_grp = '25- 34& apos;; else if 35 <= infd_ag <= 44 then age_grp = '35 -44 '; else if 45 <= ... methodology for discounting in chapter 12. Table 4. 1 Risk Matrix MALE FEMALE AGE MARRIED SINGLE DIVORCED WIDOWED MARRIED SINGLE DIVORCE < 40 1.09 1.06 1. 04 1.01 1. 14 1....

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Cookbook Modeling Data for Marketing_3 pptx

Cookbook Modeling Data for Marketing_3 pptx

... the robustness of the model or its ability to perform on other prospect data. The code is the same as for the model data decile analysis except for the (where=( splitwgt = .)) option. This accesses ... actives for a given "Depth of File" or from decile 0 to a designated decile. If we consider the value for decile 4, we can say that the average Percent Active for dec...

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Cookbook Modeling Data for Marketing_5 docx

Cookbook Modeling Data for Marketing_5 docx

... INDEX < 34 725 2. 04% 117,062 2.06% 99 35–39 3 ,44 5 9.67% 387 ,46 4 6.81% 142 40 44 10 ,44 0 29.32% 1, 341 ,725 23.58% 1 24 45 49 11,795 33.12% 2,0 84, 676 36.63% 90 50– 54 5,005 14. 06% 900,779 15.83% 89 55– 64 3 ,43 5 9.65% 726,869 12.77% 76 65+ 765 2.15% 131,835 2.32% 93 Total 35,610 ... ' < 30' 30- 34 = '30- 34& apos; 35-39 = '35-39' 40 -44...

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Cookbook Modeling Data for Marketing_8 pptx

Cookbook Modeling Data for Marketing_8 pptx

... SCORE 50.00% 1/1 0.000 48 0 33.33% 2/1 0.693 520 26.12% 2.83/1 1. 040 540 20.00% 4/ 1 1.386 560 15.02% 5.66/1 1.733 580 11.11% 8/1 2.079 600 8.12% 11.32/1 2 .42 6 620 5.88% 16/1 2.773 640 4. 23% 22. 64/ 1 3.120 660 3.03% 32/1 3 .46 6 680 2.16% 45 .26/1 3.813 700 1. 54% 64/ 1 4. 161 720 1.09% 90. 74/ 1 4. 508 740 0.78% 128/1 4. 846 760 0.55% 180.82/1 5.197 780 0.39% 256/1 5. 5...

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Cookbook Modeling Data for Marketing_9 doc

Cookbook Modeling Data for Marketing_9 doc

... CUSTOMERS A 1 55.00% 55.00% 90, 346 49 ,690 B 2 45 .00% 67.08% 170,882 1 14, 631 C 3 40 .00% 73.68% 387,223 285,308 D 4 35.00% 76.92% 553,001 42 5, 347 Total 72.83% 1,201 ,45 2 8 74, 976 Table 12.3 provides some interesting information. ... Profit $17,330,973 $33,719,271 $37,3 94, 347 Cumulative NPV Profit $17,330,973 $51,050, 244 $88 ,44 44, 591 Customer Lifetime Value $867 $2,553...

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Cookbook Modeling Data for Marketing_10 pdf

Cookbook Modeling Data for Marketing_10 pdf

... Extremes Lowest Obs Highest Obs 0( 85280) 398 349 0( 40 1 54) 0( 85133) 41 0 249 0( 23869) 0( 849 61) 41 632 94( 19189) 0( 848 73) 47 0 146 2( 69915) 0( 848 35) 5 544 7 74( 17281) TEAMFLY ... Moments N 8 540 4 Sum Wgts 729228 Mean 42 .83768 Sum 3123 843 5 Std Dev 27.21078 Variance 740 .42 65 Skewness . Kurtosis . USS 1 .40 14E9 CSS 632 346 43 CV 63.52067 S...

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Cookbook Modeling Data for Marketing_11 pptx

Cookbook Modeling Data for Marketing_11 pptx

... 43 260 04 3.6 397930 54. 6 44 2 642 1 3.6 42 4351 58.2 45 216 94 3.0 44 6 045 61.2 46 241 83 3.3 47 0228 64. 5 47 247 73 3 .4 495001 67.9 48 246 62 3 .4 519663 71.3 49 241 90 3.3 543 853 74. 6 ... 36 27 641 3.8 1896 94 26.0 37 2 947 6 4. 0 219170 30.1 38 3 047 5 4. 2 249 645 34. 2 39 33801 4. 6 28 344 6 38.9 40 3 240...

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Cookbook Modeling Data for Marketing_12 pot

Cookbook Modeling Data for Marketing_12 pot

... 99 variable reduction, 76–79 Selecting data for modeling, 36 – 44 for customer models, 40 42 prospect data, 37 40 for risk models, 42 44 Selecting data sources. See Data sources selecting Selection ... evaluation, 187 – 188 Data sources selecting, 25 48 constructing modeling data set, 44 48 for modeling, 36 44 sources of data, 27–36 summary of, 48 types of...

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John wiley sons data mining techniques for marketing sales_19 potx

John wiley sons data mining techniques for marketing sales_19 potx

... relationships, 41 3 41 5 estimation tasks, 10 forecasting, 41 5 41 6 time series neural networks, 244 – 247 non-time series data, 246 SQL data, 572–573 statistics, 128–129 of variance, 1 24 analysts, ... $1 24. 17 $25.00 20% Customer 5 $8,000 12.9% $86.00 $80.00 $86.00 $65.00 76% Customer 6 $5,000 17.9% $ 74. 58 $5 0.00 $ 74. 58 $67.13 90% 5 84 Chapter 17 47 0 643 c17.qx...

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