Modèles
de la
Valeur Client Auteurs:
Michel
Calciu et Francis
Salerno
|
Modèle de migration
|
****************************************** * Here show methods */
RF segments | Gains |
* Shows the gains matrix for recency situations
r1 | 0.3 |
r2 | 0.3 |
r3 | 0.3 |
r4 | 0.3 |
* Shows customer lifetime value for a sequence of recency values up to the recency limit
r1 | 116.595 |
r2 | 51.228 |
r3 | 41.151 |
r4 | 22.969 |
* Shows a recency vector (probabilitie or values ...)
58.0 |
-2.0 |
-2.0 |
-2.0 |
0.0 |
* Shows a given value as a paragraphe in the curent web page
0.3
* Shows a vector as a column table in a web page
58.0 |
-2.0 |
-2.0 |
-2.0 |
0.0 |
* show the decision tree for recency situations
0.3 | 0.3 | 0.3 | 0.3 |
0.7 | |||
0.7 | 0.3 | ||
0.7 | |||
0.7 | 0.3 | 0.3 | |
0.7 | |||
0.7 | 0.3 | ||
0.7 | |||
0.7 | 0.3 | 0.3 | 0.3 |
0.7 | |||
0.7 | 0.3 | ||
0.7 | |||
0.7 | 0.3 | 0.3 | |
0.7 | |||
0.7 | 0.3 | ||
0.7 | |||
* show rich decision tree for recency situations
Period 1 decision | Probability of buying decision |
Period 2 decision | Probability of buying decision |
Period 3 decision | Probability of buying decision |
Period 4 decision | Probability of buying decision |
Final probability of path | Number of purchases | Profile present value |
buy | 0.3 | buy | 0.3 | buy | 0.3 | buy | 0.3 | 0.008 | 4 | 21.63 |
no buy | 0.7 | 0.019 | 3 | 21.283 | ||||||
no buy | 0.7 | buy | 0.3 | 0.019 | 3 | 20.786 | ||||
no buy | 0.7 | 0.044 | 2 | 19.977 | ||||||
no buy | 0.7 | buy | 0.3 | buy | 0.3 | 0.019 | 3 | 18.965 | ||
no buy | 0.7 | 0.044 | 2 | 18.156 | ||||||
no buy | 0.7 | buy | 0.3 | 0.044 | 2 | 16.997 | ||||
no buy | 0.7 | 0.103 | 1 | 15.11 | ||||||
no buy | 0.7 | buy | 0.3 | buy | 0.3 | buy | 0.3 | 0.019 | 3 | 12.287 |
no buy | 0.7 | 0.044 | 2 | 11.478 | ||||||
no buy | 0.7 | buy | 0.3 | 0.044 | 2 | 10.32 | ||||
no buy | 0.7 | 0.103 | 1 | 8.432 | ||||||
no buy | 0.7 | buy | 0.3 | buy | 0.3 | 0.044 | 2 | 6.07 | ||
no buy | 0.7 | 0.103 | 1 | 4.183 | ||||||
no buy | 0.7 | buy | 0.3 | 0.103 | 1 | 1.478 | ||||
no buy | 0.7 | 0.24 | 0 | -2.926 |
* shows the decision tree for recency situations * during several periods * for a buy/no buy sequence of given size
r1 | r1 | r1 | r1 |
(1-r1) | |||
(1-r1) | r2 | ||
(1-r2) | |||
(1-r1) | r2 | r2 | |
(1-r2) | |||
(1-r2) | r3 | ||
(1-r3) | |||
(1-r1) | r2 | r2 | r2 |
(1-r2) | |||
(1-r2) | r3 | ||
(1-r3) | |||
(1-r2) | r3 | r3 | |
(1-r3) | |||
(1-r3) | r4 | ||
(1-r4) |
* Shows a one column vector with the cells containing gains for different recency states
RF segments | Gains |
* Shows a matrix in table form
r1 | 0.228 |
r2 | 0.197 |
r3 | 0.153 |
r4 | 0.09 |
* Shows Transactions after j periods generated starting from given recency
r1 | 0.3 |
r2 | 0.3 |
r3 | 0.3 |
r4 | 0.3 |
r5 | 0.3 |
r6 | 0.3 |
r7 | 0.3 |
r8 | 0.3 |
r9 | 0.3 |
r10 | 0.3 |
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