01 foundations-of-marketing-analytics.mp4 (17.96 MB)
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02 setting-up-the-environment-and-exploring-the-data-recital.mp4 (21.13 MB)
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01 introduction.mp4 (21.47 MB)
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03 hierarchical-segmentation.mp4 (22.82 MB)
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04 selecting-the-right-number-of-segments.mp4 (14.76 MB)
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05 segmentation-variables.mp4 (9.35 MB)
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06 recency-frequency-and-monetary-value.mp4 (9.31 MB)
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07 computing-recency-frequency-and-monetary-value-with-r-recital-1.mp4 (14.24 MB)
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08 data-transformation.mp4 (18.14 MB)
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09 preparing-and-transforming-your-data-in-r-recital-2.mp4 (6.22 MB)
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10 running-a-hierarchical-segmentation-in-r-recital-3.mp4 (18.62 MB)
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01 limitations-of-statistical-segmentation.mp4 (13.86 MB)
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02 developing-a-managerial-segmentation.mp4 (18.25 MB)
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03 coding-a-managerial-segmentation-in-r-recital-1.mp4 (33.31 MB)
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04 describing-segments.mp4 (12.09 MB)
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05 segmenting-a-database-retrospectively-in-r-recital-2.mp4 (14.23 MB)
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06 segments-and-revenue-generation.mp4 (10.34 MB)
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07 r-tutorial-recital-3.mp4 (21.74 MB)
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01 can-target-predict-a-customer-is-pregnant.mp4 (16.14 MB)
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02 what-you-need-to-develop-a-scoring-model.mp4 (11.53 MB)
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03 calibration-data-and-statistical-model.mp4 (25.62 MB)
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04 building-a-predictive-model-in-r-recital.mp4 (34.98 MB)
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01 what-is-customer-lifetime-value-and-why-it-matters.mp4 (23.84 MB)
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02 transition-probabilities-and-transition-matrix.mp4 (26.47 MB)
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03 how-to-compute-a-transition-matrix-in-r-recital-1.mp4 (13.91 MB)
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04 using-the-transition-matrix-to-estimate-how-customers-will-evolve.mp4 (9.1 MB)
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05 using-the-transition-matrix-to-make-predictions-in-r-recital-2.mp4 (10.14 MB)
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06 assigning-and-discounting-revenue.mp4 (12.68 MB)
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07 computing-customer-lifetime-value-in-r-recital-3.mp4 (16.71 MB)
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