This is a Online Retail Balanced Scorecard Report, it is one of reports that Balanced Scorecard Designer can generate for Online Retail scorecard. With this software you can also design your own KPIs, Balanced Scorecards and metrics.

Online Retail Scorecard

Report includes: 1 month(s) 49 day(s), from 30.08.2009 to 18.10.2009

Name

Start value

End value

Dynamic

Contains

Online Retail Scorecard

45,55 %

43,81 %

-1,74 %

Conversion Perspective	(59,3%, 1,66%)
Online platform evaluation perspective	(30,2%, -16,5%)
Performance Assessment	(45,9%, 20,01%)
Financial perspective	(39%, -6,44%)

Graph for Online Retail Scorecard

Data for Online Retail Scorecard

Dates	Value
30.08.2009	45,55
06.09.2009	43,38
13.09.2009	48,28
20.09.2009	44,78
27.09.2009	44,01
04.10.2009	69,95
11.10.2009	41,25
18.10.2009	43,81

ď»ż

Conversion Perspective

Name

Start value

End value

Dynamic

Parent

Contains

Conversion Perspective

57,64 %

59,3 %

+ 1,66%

Online Retail Scorecard

Indicators

Conversion rate

Conversion cost borne

Campaign specific ‘order conversion rate’

Mean size of order *

* - Information for this metric is limited in sample report Description This set of metrics helps in evaluating the conversion aspect from different angles.

Graph for Conversion Perspective

Data for Conversion Perspective

Dates	Value	Weight
30.08.2009	57,64	3
06.09.2009	52,68	3
13.09.2009	48,54	3
20.09.2009	37,78	3
27.09.2009	45,36	3
04.10.2009	80,71	3
11.10.2009	26,3	3
18.10.2009	59,3	3

ď»ż

Conversion rate

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Conversion rate	0,5793	0,4386	-0,141	number	Maximize	Conversion Perspective

Description This metric is for knowing about the pace at which visitors get turned into buyers. It reflects the potential of the website in adding to the customer base.

Graph for Conversion rate

Data for Conversion rate

Dates	Weight	Min	Max	Value
30.08.2009	2	0,3	1	0,5793
06.09.2009	2	0,3	1	0,8768
13.09.2009	2	0,3	1	0,7116
20.09.2009	2	0,3	1	0,8635
27.09.2009	2	0,3	1	0,3686
04.10.2009	2	0,3	1	0,9482
11.10.2009	2	0,3	1	0,8817
18.10.2009	2	0,3	1	0,4386

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Conversion cost borne

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Conversion cost borne	1,241	0,6995	-0,542	$	Minimize	Conversion Perspective

Description This is equal to the cost incurred during conversion of ‘visitor’ into ‘buyer’. This processing charges are an important part of total costs and is calculated by having the ratio borne by ‘total conversion cost’ to ‘number of orders’.

Graph for Conversion cost borne

Data for Conversion cost borne

Dates	Weight	Min	Max	Value
30.08.2009	3	0,5	2	1,241
06.09.2009	3	0,5	2	1,7675
13.09.2009	3	0,5	2	1,955
20.09.2009	3	0,5	2	1,724
27.09.2009	3	0,5	2	0,9095
04.10.2009	3	0,5	2	1,2665
11.10.2009	3	0,5	2	1,8515
18.10.2009	3	0,5	2	0,6995

ď»ż

Campaign specific ‘order conversion rate’

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Campaign specific ‘order conversion rate’	0,5608	0,6463	+ 0,0855	number	Maximize	Conversion Perspective

Description This metric is useful in knowing the efficiency of marketing campaign.

Graph for Campaign specific ‘order conversion rate’

Data for Campaign specific ‘order conversion rate’

Dates	Weight	Min	Max	Value
30.08.2009	3	0,1	1	0,5608
06.09.2009	3	0,1	1	0,6967
13.09.2009	3	0,1	1	0,8218
20.09.2009	3	0,1	1	0,3088
27.09.2009	3	0,1	1	0,3799
04.10.2009	3	0,1	1	0,9316
11.10.2009	3	0,1	1	0,2899
18.10.2009	3	0,1	1	0,6463

ď»ż

Online platform evaluation perspective

Name

Start value

End value

Dynamic

Parent

Contains

Online platform evaluation perspective

46,65 %

30,15 %

-16,5%

Online Retail Scorecard

Indicators

Response time

New: Returning visitors

Stickiness index

Buyers: Searchers ratio *

* - Information for this metric is limited in sample report Description This group of parameters is for assessing the website on different factors.

Graph for Online platform evaluation perspective

Data for Online platform evaluation perspective

Dates	Value	Weight
30.08.2009	46,65	3
06.09.2009	34,34	3
13.09.2009	21,35	3
20.09.2009	38,19	3
27.09.2009	30,9	3
04.10.2009	73,17	3
11.10.2009	40,01	3
18.10.2009	30,15	3

ď»ż

Response time

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Response time	78,1	95,6	+ 17,5	seconds	Minimize	Online platform evaluation perspective

Description This is the time period consumed in giving answer to the email inquiries. It is an effective way of impressing visitors and giving them a good reason to stick to the online platform.

Graph for Response time

Data for Response time

Dates	Weight	Min	Max	Value
30.08.2009	3	0	100	78,1
06.09.2009	3	0	100	74,9
13.09.2009	3	0	100	83,5
20.09.2009	3	0	100	92,5
27.09.2009	3	0	100	98,5
04.10.2009	3	0	100	12,9
11.10.2009	3	0	100	37,6
18.10.2009	3	0	100	95,6

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New: Returning visitors

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	New: Returning visitors	0,5568	0,4712	-0,0856	number	Maximize	Online platform evaluation perspective

Description This will be equal to the ratio borne by ‘new visitors’ to ‘returning visitors’. This will give an estimate about the marketing efforts being set up by the managers.

Graph for New: Returning visitors

Data for New: Returning visitors

Dates	Weight	Min	Max	Value
30.08.2009	3	0,2	1	0,5568
06.09.2009	3	0,2	1	0,4888
13.09.2009	3	0,2	1	0,3168
20.09.2009	3	0,2	1	0,7504
27.09.2009	3	0,2	1	0,7736
04.10.2009	3	0,2	1	0,7936
11.10.2009	3	0,2	1	0,2264
18.10.2009	3	0,2	1	0,4712

ď»ż

Stickiness index

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Stickiness index	0,6104	0,7056	+ 0,0952	number	Maximize	Online platform evaluation perspective

Description This parameter helps in evaluating the extent to which the landing page is capable of drawing customers towards the website.

Graph for Stickiness index

Data for Stickiness index

Dates	Weight	Min	Max	Value
30.08.2009	2	0,2	1	0,6104
06.09.2009	2	0,2	1	0,7776
13.09.2009	2	0,2	1	0,5488
20.09.2009	2	0,2	1	0,496
27.09.2009	2	0,2	1	0,376
04.10.2009	2	0,2	1	0,5176
11.10.2009	2	0,2	1	0,5248
18.10.2009	2	0,2	1	0,7056

ď»ż

Performance Assessment

Name

Start value

End value

Dynamic

Parent

Contains

Performance Assessment

25,89 %

45,9 %

+ 20,01%

Online Retail Scorecard

Indicators

Recency degree

Inventory turnover

Mean time spent on website

Rise in customer base *

* - Information for this metric is limited in sample report Description This collection of metrics is for knowing about the way the website has been performing.

Graph for Performance Assessment

Data for Performance Assessment

Dates	Value	Weight
30.08.2009	25,89	2
06.09.2009	45,81	2
13.09.2009	72,67	2
20.09.2009	37,83	2
27.09.2009	56,83	2
04.10.2009	56,37	2
11.10.2009	46,53	2
18.10.2009	45,9	2

ď»ż

Recency degree

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Recency degree	0,512	0,8045	+ 0,292	number	Maximize	Performance Assessment

Description This can be calculated by looking at the ratio borne by ‘number of customers in a particular time frame’ to ‘total visitors to the website’.

Graph for Recency degree

Data for Recency degree

Dates	Weight	Min	Max	Value
30.08.2009	2	0,4	0,9	0,512
06.09.2009	2	0,4	0,9	0,541
13.09.2009	2	0,4	0,9	0,7265
20.09.2009	2	0,4	0,9	0,671
27.09.2009	2	0,4	0,9	0,6805
04.10.2009	2	0,4	0,9	0,8085
11.10.2009	2	0,4	0,9	0,67
18.10.2009	2	0,4	0,9	0,8045

ď»ż

Inventory turnover

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Inventory turnover	1,873	1,39	-0,483	number	Minimize	Performance Assessment

Description This is to gain an insight into the rate at which inventory turnover has been taking place on weekly basis.

Graph for Inventory turnover

Data for Inventory turnover

Dates	Weight	Min	Max	Value
30.08.2009	3	1	2	1,873
06.09.2009	3	1	2	1,279
13.09.2009	3	1	2	1,449
20.09.2009	3	1	2	1,808
27.09.2009	3	1	2	1,452
04.10.2009	3	1	2	1,689
11.10.2009	3	1	2	1,04
18.10.2009	3	1	2	1,39

ď»ż

Mean time spent on website

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Mean time spent on website	2,596	3,508	+ 0,912	minutes	Maximize	Performance Assessment

Description This will be equal to the time that was spent by visitors on average basis.

Graph for Mean time spent on website

Data for Mean time spent on website

Dates	Weight	Min	Max	Value
30.08.2009	3	1	20	2,596
06.09.2009	3	1	20	8,182
13.09.2009	3	1	20	15,63
20.09.2009	3	1	20	12,229
27.09.2009	3	1	20	9,303
04.10.2009	3	1	20	17,986
11.10.2009	3	1	20	3,071
18.10.2009	3	1	20	3,508

ď»ż

Financial perspective

Name

Start value

End value

Dynamic

Parent

Contains

Financial perspective

45,43 %

38,99 %

-6,44%

Online Retail Scorecard

Indicators

Revenue gathered on per visit basis

Off-line sales boost

Sales on per hour basis

Rise in sales on yearly basis *

* - Information for this metric is limited in sample report Description This category of metrics is for knowing how well the financial aspect has been moving.

Graph for Financial perspective

Data for Financial perspective

Dates	Value	Weight
30.08.2009	45,43	2
06.09.2009	40,58	2
13.09.2009	63,91	2
20.09.2009	72,12	2
27.09.2009	48,85	2
04.10.2009	62,58	2
11.10.2009	60,26	2
18.10.2009	38,99	2

ď»ż

Revenue gathered on per visit basis

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Revenue gathered on per visit basis	4,114	4,699	+ 0,585	$	Maximize	Financial perspective

Description This will be equal to the revenue amount that is managed on per visit basis. It is for knowing about the ultimate objective of setting up the venture.

Graph for Revenue gathered on per visit basis

Data for Revenue gathered on per visit basis

Dates	Weight	Min	Max	Value
30.08.2009	2	1	10	4,114
06.09.2009	2	1	10	4,501
13.09.2009	2	1	10	3,187
20.09.2009	2	1	10	5,806
27.09.2009	2	1	10	6,409
04.10.2009	2	1	10	7,696
11.10.2009	2	1	10	5,302
18.10.2009	2	1	10	4,699

ď»ż

Off-line sales boost

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Off-line sales boost	48,52	57,07	+ 8,55	%	Maximize	Financial perspective

Description This parameter is equal to the sales attracted from offline modes such as ‘toll-free numbers’ and ‘store locator’.

Graph for Off-line sales boost

Data for Off-line sales boost

Dates	Weight	Min	Max	Value
30.08.2009	3	10	100	48,52
06.09.2009	3	10	100	76,42
13.09.2009	3	10	100	96,4
20.09.2009	3	10	100	50,59
27.09.2009	3	10	100	30,52
04.10.2009	3	10	100	97,39
11.10.2009	3	10	100	45,46
18.10.2009	3	10	100	57,07

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Sales on per hour basis

	Name	Start value	End value	Dynamic	Measure units	Optimization method	Parent
	Sales on per hour basis	79,111	30,898	-48,21	$	Maximize	Financial perspective

Description This will be equal to the volume of sales managed in each hour.

Graph for Sales on per hour basis

Data for Sales on per hour basis

Dates	Weight	Min	Max	Value
30.08.2009	3	1	100	79,111
06.09.2009	3	1	100	32,878
13.09.2009	3	1	100	64,261
20.09.2009	3	1	100	93,961
27.09.2009	3	1	100	56,539
04.10.2009	3	1	100	28,027
11.10.2009	3	1	100	98,218
18.10.2009	3	1	100	30,898

Created by: AKS-labs
Report created with Balanced Scorecard Designer at 22.09.2009 20:36:26