Customer Profitability Scorecard | Balanced Scorecard Report
Customer Profitability Scorecard
Report includes: 2 day(s),
from 17.02.2009 to 18.02.2009
| |
Name |
Start value |
End value |
Dynamic |
Contains |
 |
Customer Profitability Scorecard |
55,27 % |
49,16 % |
-6,11 % |
| Average Lifetime Value | (42,8%, -7,4% ) |
| Customer Retention Potential | (59,2%, 5,07% ) |
| Revenue Collection Perspective | (46,2%, -8,27% ) |
| Process Performance Perspective | (46,6%, -18,79% ) |
|
Graph for Customer Profitability Scorecard
Data for Customer Profitability Scorecard
| Dates | Value |
| 17.02.2009 | 55,27 |
| 18.02.2009 | 49,16 |

Average Lifetime Value
* - Information for this metric is limited in sample report
Description
This perspective is to obtain the worth of each customer so as to decide the future course of action. Theoretically, it is equal to the present value of the future cash flows that are expected from the customers. Inculcating this concept into the marketing department of the organization helps in aiming for long term gains, rather than focusing on the short term ones.
Graph for Average Lifetime Value
Data for Average Lifetime Value
| Dates | Value | Weight |
| 17.02.2009 | 50,18 | 3 |
| 18.02.2009 | 42,78 | 3 |

Discount Rate
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Discount Rate  |
10,072 |
8,368 |
-1,704 |
% |
Minimize |
Average Lifetime Value |
Description
Certain cost of capital is used to discount the future revenue from customers. This is the discount rate.
Graph for Discount Rate
Data for Discount Rate
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 3 | 8 | 16 | 10,072 |
| 18.02.2009 | 3 | 8 | 16 | 8,368 |

Retention Cost
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Retention Cost   |
451,4 |
328,55 |
-122,8 |
$ |
Minimize |
Average Lifetime Value |
Description
This KPI is equal to the amount spent by the company to keep an existing customer. This includes costs such as billing, incentives given for promotion etc.
Graph for Retention Cost
Data for Retention Cost
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 2 | 50 | 500 | 451,4 |
| 18.02.2009 | 2 | 50 | 500 | 328,55 |

Profit margin
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Profit margin  |
405,95 |
131,18 |
-274,8 |
$ |
Maximize |
Average Lifetime Value |
Description
This gives the margin managed, on per customer basis over one year period.
Graph for Profit margin
Data for Profit margin
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 3 | 90 | 800 | 405,95 |
| 18.02.2009 | 3 | 90 | 800 | 131,18 |

Customer Retention Potential
* - Information for this metric is limited in sample report
Description
This group of indicators weighs the potential of company in retaining the customers.
Graph for Customer Retention Potential
Data for Customer Retention Potential
| Dates | Value | Weight |
| 17.02.2009 | 54,17 | 3 |
| 18.02.2009 | 59,24 | 3 |

Number of switch barriers
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Number of switch barriers   |
4,325 |
5,675 |
+ 1,35 |
# |
Maximize |
Customer Retention Potential |
Description
This is equal to the number of hurdles that the company considers useful in preventing customers from moving to the competitor's product.
Graph for Number of switch barriers
Data for Number of switch barriers
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 3 | 3 | 8 | 4,325 |
| 18.02.2009 | 3 | 3 | 8 | 5,675 |

Retention rate
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Retention rate   |
96,24 |
84,64 |
-11,6 |
% |
Maximize |
Customer Retention Potential |
Description
This metric is to know the extent to which the company has so far succeeded in holding the customer base to its own products and services.
Graph for Retention rate
Data for Retention rate
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 2 | 20 | 100 | 96,24 |
| 18.02.2009 | 2 | 20 | 100 | 84,64 |

Customer Satisfaction
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Customer Satisfaction  |
4,708 |
5,293 |
+ 0,585 |
Score |
Maximize |
Customer Retention Potential |
Description
The value of this parameter can be obtained by using a scale of 1-10. A survey run with a portion of the customer base can be run to have the value.
Graph for Customer Satisfaction
Data for Customer Satisfaction
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 3 | 1 | 10 | 4,708 |
| 18.02.2009 | 3 | 1 | 10 | 5,293 |

Revenue Collection Perspective
* - Information for this metric is limited in sample report
Description
This class of indicators is to 'assess' the various ways which are providing revenue to the company.
Graph for Revenue Collection Perspective
Data for Revenue Collection Perspective
| Dates | Value | Weight |
| 17.02.2009 | 54,44 | 2 |
| 18.02.2009 | 46,17 | 2 |

Autonomous revenue surge
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Autonomous revenue surge   |
78,11 |
51,59 |
-26,52 |
% |
Maximize |
Revenue Collection Perspective |
Description
The value of this KPI can be calculated using the standard ways like that of 'demand forecasting' or 'multinomial logit models'. The increase can be had on yearly basis.
Graph for Autonomous revenue surge
Data for Autonomous revenue surge
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 3 | 20 | 150 | 78,11 |
| 18.02.2009 | 3 | 20 | 150 | 51,59 |

Cross- Selling climbing index
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Cross- Selling climbing index   |
0,3709 |
0,4294 |
+ 0,0585 |
# |
Maximize |
Revenue Collection Perspective |
Description
This KPI helps in judging the degree to which relationship of the given product can be extended with 'other related or associated' products. For instance, a life insurance company can decide to club the selling of its product with that of an automobile insurance seller's.
Graph for Cross- Selling climbing index
Data for Cross- Selling climbing index
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 3 | 0,1 | 1 | 0,3709 |
| 18.02.2009 | 3 | 0,1 | 1 | 0,4294 |

Up-Selling Revenue rise
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Up-Selling Revenue rise   |
0,9936 |
0,5928 |
-0,401 |
# |
Maximize |
Revenue Collection Perspective |
Description
This is to know the increase in 'purchase frequency' and 'intensity' in the buying behavior and occurs when loyal customers buy additional numbers of the 'same' product.
Graph for Up-Selling Revenue rise
Data for Up-Selling Revenue rise
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 2 | 0,2 | 1 | 0,9936 |
| 18.02.2009 | 2 | 0,2 | 1 | 0,5928 |

Process Performance Perspective
* - Information for this metric is limited in sample report
Description
This category of indicators is to assess the whole process of customer profitability.
Graph for Process Performance Perspective
Data for Process Performance Perspective
| Dates | Value | Weight |
| 17.02.2009 | 65,41 | 2 |
| 18.02.2009 | 46,62 | 2 |

Rise in Customer segmentation tuning
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Rise in Customer segmentation tuning   |
0,9344 |
0,2912 |
-0,643 |
# |
Maximize |
Process Performance Perspective |
Description
This indicator gives the way the management perceives, customer segmentation has improved.
Graph for Rise in Customer segmentation tuning
Data for Rise in Customer segmentation tuning
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 2 | 0,2 | 1 | 0,9344 |
| 18.02.2009 | 2 | 0,2 | 1 | 0,2912 |

Customer margins Rise
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Customer margins Rise   |
81,75 |
67,19 |
-14,56 |
% |
Maximize |
Process Performance Perspective |
Description
This is to have the jump in customer margins over a period of one year.
Graph for Customer margins Rise
Data for Customer margins Rise
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 3 | 20 | 150 | 81,75 |
| 18.02.2009 | 3 | 20 | 150 | 67,19 |

Scaling Customer Impact
| |
Name |
Start value |
End value |
Dynamic |
Measure units |
Optimization method |
Parent |
 |
Scaling Customer Impact   |
5,743 |
2,593 |
-3,15 |
Score |
Maximize |
Process Performance Perspective |
Description
Using a scale numbered from 1-10, one can assess the value of customer impact.
Graph for Scaling Customer Impact
Data for Scaling Customer Impact
| Dates | Weight | Min | Max | Value |
| 17.02.2009 | 2 | 1 | 10 | 5,743 |
| 18.02.2009 | 2 | 1 | 10 | 2,593 |
Created by: AKS-Labs
Report created with Balanced Scorecard Designer at 13.02.2009 9:46:39
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