This is a Customer Profiling Metric Dashboard (Diamond) Report, it is one of reports that Balanced Scorecard Designer can generate for Customer Profiling KPI. With this software you can also design your own scorecards, KPIs and metrics.

Customer Profiling Scorecard

Report includes: 2 day(s), from 17.02.2009 to 18.02.2009

Name

Start value

End value

Dynamic

Contains

Customer Profiling Scorecard

63,09 %

52,04 %

-11,05 %

Buying Behavior Perspective	(73,5%, -10,01%)
Integration and Best Practices perspective	(36%, -9,74%)
Process Perspective	(38,5%, -34,62%)
Benefits and Performance Perspective	(57,4%, 9,02%)

Graph for Customer Profiling Scorecard

Data for Customer Profiling Scorecard

Dates	Value
17.02.2009	63,09
18.02.2009	52,04

Buying Behavior Perspective

Name

Start value

End value

Dynamic

Parent

Contains

Buying Behavior Perspective

83,55 %

73,54 %

-10,01%

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

Data for Buying Behavior Perspective

Dates	Value	Weight
17.02.2009	83,55	3
18.02.2009	73,54	3

Customer base which showed rise in 'Buying Frequency'

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Customer base which showed rise in 'Buying Frequency'	98,67	75,64	-23,03	%	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'

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

Dates	Weight	Min	Max	Value
17.02.2009	3	30	100	98,67
18.02.2009	3	30	100	75,64

Increase in Recency of purchase

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Increase in Recency of purchase	45,46	87,94	+ 42,48	%	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

Data for Increase in Recency of purchase

Dates	Weight	Min	Max	Value
17.02.2009	2	10	100	45,46
18.02.2009	2	10	100	87,94

Level of Customization Climbing

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Level of Customization Climbing	9,1	6,292	-2,808	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

Data for Level of Customization Climbing

Dates	Weight	Min	Max	Value
17.02.2009	3	1	10	9,1
18.02.2009	3	1	10	6,292

Integration and Best Practices perspective

Name

Start value

End value

Dynamic

Parent

Contains

Integration and Best Practices perspective

45,74 %

36 %

-9,74%

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

Data for Integration and Best Practices perspective

Dates	Value	Weight
17.02.2009	45,74	3
18.02.2009	36	3

Staff Fraction

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Staff Fraction	0,7846	0,3387	-0,446	#	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

Data for Staff Fraction

Dates	Weight	Min	Max	Value
17.02.2009	2	0,1	0,8	0,7846
18.02.2009	2	0,1	0,8	0,3387

Database Alignment Index

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Database Alignment Index	0,8726	0,9556	+ 0,083	#	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

Data for Database Alignment Index

Dates	Weight	Min	Max	Value
17.02.2009	3	0,8	1	0,8726
18.02.2009	3	0,8	1	0,9556

Best Practices Abiding ratio

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Best Practices Abiding ratio	0,5086	0,4636	-0,045	#	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

Data for Best Practices Abiding ratio

Dates	Weight	Min	Max	Value
17.02.2009	2	0,4	1	0,5086
18.02.2009	2	0,4	1	0,4636

Process Perspective

Name

Start value

End value

Dynamic

Parent

Contains

Process Perspective

73,1 %

38,48 %

-34,62%

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

Data for Process Perspective

Dates	Value	Weight
17.02.2009	73,1	2
18.02.2009	38,48	2

Number of areas covered

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Number of areas covered	6,538	8,836	+ 2,298	#	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

Data for Number of areas covered

Dates	Weight	Min	Max	Value
17.02.2009	2	4	10	6,538
18.02.2009	2	4	10	8,836

Number of methods utilized

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Number of methods utilized	8,92	2,952	-5,968	#	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

Data for Number of methods utilized

Dates	Weight	Min	Max	Value
17.02.2009	2	2	10	8,92
18.02.2009	2	2	10	2,952

Number of Technologies utilized

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Number of Technologies utilized	7,994	3,704	-4,29	#	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

Data for Number of Technologies utilized

Dates	Weight	Min	Max	Value
17.02.2009	3	2	8	7,994
18.02.2009	3	2	8	3,704

Benefits and Performance Perspective

Name

Start value

End value

Dynamic

Parent

Contains

Benefits and Performance Perspective

48,4 %

57,42 %

+ 9,02%

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

Data for Benefits and Performance Perspective

Dates	Value	Weight
17.02.2009	48,4	2
18.02.2009	57,42	2

Customer Retention Ratio

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Customer Retention Ratio	0,2224	0,5912	+ 0,369	#	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

Data for Customer Retention Ratio

Dates	Weight	Min	Max	Value
17.02.2009	2	0,2	1	0,2224
18.02.2009	2	0,2	1	0,5912

'Issues addressing Index'

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	'Issues addressing Index'	0,8356	0,6792	-0,156	#	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'

Data for 'Issues addressing Index'

Dates	Weight	Min	Max	Value
17.02.2009	3	0,6	1	0,8356
18.02.2009	3	0,6	1	0,6792

Customer base Expansion

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Customer base Expansion	181,76	146,56	-35,2	%	Maximize	Benefits and Performance Perspective

Description This parameter gives the ultimate way of analyzing the 'fruitfulness' of customer profiling.

Graph for Customer base Expansion

Data for Customer base Expansion

Dates	Weight	Min	Max	Value
17.02.2009	2	40	200	181,76
18.02.2009	2	40	200	146,56

Created by: AKS-Labs
Report created with Balanced Scorecard Designer at 13.02.2009 10:22:49