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Customer Profiling Scorecard

Report includes: 1 month(s) 49 day(s), from 21.01.2009 to 11.03.2009

  Name Start value End value Dynamic Contains
Root Customer Profiling Scorecard  55,78 % 52,4 % -3,38 %
Buying Behavior Perspective(66,9%, 23,27%Up)
Integration and Best Practices perspective(37,6%, -30,13%Down)
Process Perspective(26,7%, -27,7%Down)
Benefits and Performance Perspective(78,5%, 21,06%Up)

Graph for Customer Profiling Scorecard

Graph for Customer Profiling Scorecard

Data for Customer Profiling Scorecard

DatesValue
21.01.200955,78
28.01.200948,55
04.02.200954,94
11.02.200947,32
18.02.200956,22
25.02.200950,63
04.03.200949,26
11.03.200952,4


Buying Behavior Perspective

  Name Start value End value Dynamic Parent Contains
Root Buying Behavior Perspective  43,67 % 66,94 % + 23,27% Customer Profiling Scorecard
Indicators
Customer base which showed rise in 'Buying Frequency'
Increase in Recency of purchase
Level of Customization Climbing
Increase in 'sales per customer' basis *
* - Information for this metric is limited in sample report Description This group of KPIs is for ensuring that significant learning effects are extracted from the task.

Graph for Buying Behavior Perspective

Graph for Buying Behavior Perspective

Data for Buying Behavior Perspective

DatesValueWeight
21.01.200943,673
28.01.200956,563
04.02.200957,343
11.02.200934,653
18.02.200954,023
25.02.200946,033
04.03.200933,963
11.03.200966,943


Customer base which showed rise in 'Buying Frequency'

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Customer base which showed rise in 'Buying Frequency'  60,1 62,9 + 2,8 % Maximize Buying Behavior Perspective
Description This KPI is for having the fraction of total customer base that showed an increase in the 'buying instances' of customers.

Graph for Customer base which showed rise in 'Buying Frequency'

Graph for Customer base which showed rise in 'Buying Frequency'

Data for Customer base which showed rise in 'Buying Frequency'

DatesWeightMinMaxValue
21.01.200933010060,1
28.01.200933010058,91
04.02.200933010081,52
11.02.200933010041,69
18.02.200933010069,62
25.02.200933010087,12
04.03.200933010083,76
11.03.200933010062,9


Increase in Recency of purchase

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Increase in Recency of purchase  20,17 85,51 + 65,34 % Maximize Buying Behavior Perspective
Description This KPI is an indication of the dilution in the gap that exists between any two consecutive 'buying instances'.

Graph for Increase in Recency of purchase

Graph for Increase in Recency of purchase

Data for Increase in Recency of purchase

DatesWeightMinMaxValue
21.01.200921010020,17
28.01.200921010041,23
04.02.200921010062,38
11.02.200921010029,98
18.02.200921010078,22
25.02.200921010040,6
04.03.200921010017,11
11.03.200921010085,51


Level of Customization Climbing

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Level of Customization Climbing  8,785 7,336 -1,449 Score Maximize Buying Behavior Perspective
Description One of the benefits accruing from profiling of customers is the increase in level of 'customization'. This value of this KPI can be had using the 'scaling method'. One can note the change in the value of this parameter on a scale of 1-10.

Graph for Level of Customization Climbing

Graph for Level of Customization Climbing

Data for Level of Customization Climbing

DatesWeightMinMaxValue
21.01.200931108,785
28.01.200931107,867
04.02.200931106,382
11.02.200931103,43
18.02.200931102,728
25.02.200931103,241
04.03.200931103,43
11.03.200931107,336


Integration and Best Practices perspective

  Name Start value End value Dynamic Parent Contains
Root Integration and Best Practices perspective  67,74 % 37,61 % -30,13% Customer Profiling Scorecard
Indicators
Staff Fraction
Database Alignment Index
Best Practices Abiding ratio
Interdepartmental Cohesion *
* - Information for this metric is limited in sample report Description This gives the level of compatibility the process of 'customer profiling' holds with the other systems in the organization.

Graph for Integration and Best Practices perspective

Graph for Integration and Best Practices perspective

Data for Integration and Best Practices perspective

DatesValueWeight
21.01.200967,743
28.01.200934,513
04.02.200942,983
11.02.200942,313
18.02.200967,313
25.02.200940,733
04.03.200944,233
11.03.200937,613


Staff Fraction

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Staff Fraction  0,5879 0,2239 -0,364 # Maximize Integration and Best Practices perspective
Description One can have this to know the proportion of total staff members that are engaged in the task of customer profiling.

Graph for Staff Fraction

Graph for Staff Fraction

Data for Staff Fraction

DatesWeightMinMaxValue
21.01.200920,10,80,5879
28.01.200920,10,80,1623
04.02.200920,10,80,4892
11.02.200920,10,80,212
18.02.200920,10,80,4885
25.02.200920,10,80,5494
04.03.200920,10,80,219
11.03.200920,10,80,2239


Database Alignment Index

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Database Alignment Index  0,9622 0,8722 -0,09 # Maximize Integration and Best Practices perspective
Description This gives the manner in which the process of customer profiling goes well with the IT infrastructure of the organization.

Graph for Database Alignment Index

Graph for Database Alignment Index

Data for Database Alignment Index

DatesWeightMinMaxValue
21.01.200930,810,9622
28.01.200930,810,8076
11.02.200930,810,8968
18.02.200930,810,9564
25.02.200930,810,8084
04.03.200930,810,9254
11.03.200930,810,8722


Best Practices Abiding ratio

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Best Practices Abiding ratio  0,583 0,5584 -0,0246 # Maximize Integration and Best Practices perspective
Description This is to know how far the organization is following the set of 'best practices'.

Graph for Best Practices Abiding ratio

Graph for Best Practices Abiding ratio

Data for Best Practices Abiding ratio

DatesWeightMinMaxValue
21.01.200920,410,583
28.01.200920,410,8632
04.02.200920,410,9544
11.02.200920,410,7162
18.02.200920,410,7906
25.02.200920,410,8206
04.03.200920,410,8038
11.03.200920,410,5584


Process Perspective

  Name Start value End value Dynamic Parent Contains
Root Process Perspective  54,37 % 26,67 % -27,7% Customer Profiling Scorecard
Indicators
Number of areas covered
Number of methods utilized
Number of Technologies utilized
Time taken in the process *
* - Information for this metric is limited in sample report Description This group of metrics is to ensure that the proceedings of the process of customer profiling are as per the pre-decided guidelines.

Graph for Process Perspective

Graph for Process Perspective

Data for Process Perspective

DatesValueWeight
21.01.200954,372
28.01.200950,962
04.02.200959,022
11.02.200974,752
18.02.200940,982
25.02.200952,462
04.03.200953,172
11.03.200926,672


Number of areas covered

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of areas covered  4,786 6,67 + 1,884 # Maximize Process Perspective
Description There are various areas which the profiling of customers can take care of. This indicator is for knowing the depth of the whole process. Some of these include analysis of lifestyles, purchase patterns and other habits that play a role in the decision of a customer.

Graph for Number of areas covered

Graph for Number of areas covered

Data for Number of areas covered

DatesWeightMinMaxValue
21.01.200924104,786
28.01.200924107,03
04.02.200924107,642
11.02.200924109,964
18.02.200924104,882
25.02.200924106,982
04.03.200924108,812
11.03.200924106,67


Number of methods utilized

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of methods utilized  5,096 2,184 -2,912 # Maximize Process Perspective
Description This spans the number of techniques (such as a questionnaire) that were used in the process of customer profiling.

Graph for Number of methods utilized

Graph for Number of methods utilized

Data for Number of methods utilized

DatesWeightMinMaxValue
21.01.200922105,096
28.01.200922105,984
04.02.200922103,784
11.02.200922108,312
18.02.200922102,12
25.02.200922108,232
04.03.200922104,216
11.03.200922102,184


Number of Technologies utilized

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Technologies utilized  5,714 4,97 -0,744 # Maximize Process Perspective
Description A number of technological solutions are available to accurately price and position the customers. A KPI that reflects this can be useful in assessing the way the process is 'proceeding'. For instance, location -based study can be done using international geocoding and address validation.

Graph for Number of Technologies utilized

Graph for Number of Technologies utilized

Data for Number of Technologies utilized

DatesWeightMinMaxValue
21.01.20093285,714
28.01.20093287,952
04.02.20093285,192
11.02.20093283,842
18.02.20093283,92
25.02.20093282,912
04.03.20093287,04
11.03.20093284,97


Benefits and Performance Perspective

  Name Start value End value Dynamic Parent Contains
Root Benefits and Performance Perspective  57,43 % 78,49 % + 21,06% Customer Profiling Scorecard
Indicators
Customer Retention Ratio
'Issues addressing Index'
Customer base Expansion
Cost: Revenue Ratio *
* - Information for this metric is limited in sample report Description This group of indicators is to evaluate the 'successes' of the customer profile project.

Graph for Benefits and Performance Perspective

Graph for Benefits and Performance Perspective

Data for Benefits and Performance Perspective

DatesValueWeight
21.01.200957,432
28.01.200955,172
04.02.200965,182
11.02.200946,422
18.02.200958,112
25.02.200970,532
04.03.200975,842
11.03.200978,492


Customer Retention Ratio

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Customer Retention Ratio  0,3192 0,7368 + 0,418 # Maximize Benefits and Performance Perspective
Description This is to know the extent to which the study of customer profiling was successful in holding customers to the concerned company.

Graph for Customer Retention Ratio

Graph for Customer Retention Ratio

Data for Customer Retention Ratio

DatesWeightMinMaxValue
21.01.200920,210,3192
28.01.200920,210,6992
04.02.200920,210,2696
11.02.200920,210,6184
18.02.200920,210,996
25.02.200920,210,6224
04.03.200920,210,8128
11.03.200920,210,7368


'Issues addressing Index'

  Name Start value End value Dynamic Measure units Optimization method Parent
Root 'Issues addressing Index'  0,6808 0,8348 + 0,154 # Maximize Benefits and Performance Perspective
Description Before starting with the job of profiling customers, certain issues to be dealt with are decided for, such as pricing and positioning of the product. This KPI can help in knowing the fraction of those questions that were accurately answered.

Graph for 'Issues addressing Index'

Graph for 'Issues addressing Index'

Data for 'Issues addressing Index'

DatesWeightMinMaxValue
21.01.200930,610,6808
28.01.200930,610,7596
04.02.200930,610,9468
11.02.200930,610,8672
18.02.200930,610,7968
25.02.200930,610,8364
04.03.200930,610,842
11.03.200930,610,8348


Customer base Expansion

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Customer base Expansion  196,96 183,52 -13,44 % Maximize Benefits and Performance Perspective
Description This parameter gives the ultimate way of analyzing the 'fruitfulness' of customer profiling.

Graph for Customer base Expansion

Graph for Customer base Expansion

Data for Customer base Expansion

DatesWeightMinMaxValue
21.01.2009240200196,96
28.01.200924020068,32
04.02.2009240200129,92
11.02.200924020070,88
18.02.2009240200117,44
25.02.2009240200185,92
04.03.2009240200151,2
11.03.2009240200183,52
Created by: AKS-Labs
Report created with Balanced Scorecard Designer at 13.02.2009 10:22:35

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