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


Online Retail Scorecard

Report includes: 2 day(s), from 26.09.2009 to 27.09.2009

  Name Start value End value Dynamic Contains
Root Online Retail Scorecard  40,49 % 53,61 % + 13,12 %
Conversion Perspective (57,6%, -4,1%Down)
Online platform evaluation perspective(54,7%, 26,29%Up)
Performance Assessment (60,7%, 25,07%Up)
Financial perspective (38,8%, 7,26%Up)

Graph for Online Retail Scorecard

Graph for Online Retail Scorecard

Data for Online Retail Scorecard

DatesValue
26.09.200940,49
27.09.200953,61


Conversion Perspective

  Name Start value End value Dynamic Parent Contains
Root Conversion Perspective  SLYellow 61,68 % 57,58 % -4,1% 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

Graph for Conversion Perspective

Data for Conversion Perspective

DatesValueWeight
26.09.200961,683
27.09.200957,583


Conversion rate

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Conversion rate  DownRedSLYellow 0,7851 0,3889 -0,396 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

Graph for Conversion rate

Data for Conversion rate

DatesWeightMinMaxValue
26.09.200920,310,7851
27.09.200920,310,3889


Conversion cost borne

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Conversion cost borne DownGreenSLYellow 1,523 1,187 -0,336 $ 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

Graph for Conversion cost borne

Data for Conversion cost borne

DatesWeightMinMaxValue
26.09.200930,521,523
27.09.200930,521,187


Campaign specific ‘order conversion rate’

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Campaign specific ‘order conversion rate’ DownRedSLYellow 0,8776 0,6706 -0,207 number Maximize Conversion Perspective
Description This metric is useful in knowing the efficiency of marketing campaign.

Graph for Campaign specific ‘order conversion rate’

Graph for Campaign specific ‘order conversion rate’

Data for Campaign specific ‘order conversion rate’

DatesWeightMinMaxValue
26.09.200930,110,8776
27.09.200930,110,6706


Online platform evaluation perspective

  Name Start value End value Dynamic Parent Contains
Root Online platform evaluation perspective SLYellow 28,46 % 54,75 % + 26,29% 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

Graph for Online platform evaluation perspective

Data for Online platform evaluation perspective

DatesValueWeight
26.09.200928,463
27.09.200954,753


Response time

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Response time DownGreenSLRed 93,9 75,7 -18,2 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

Graph for Response time

Data for Response time

DatesWeightMinMaxValue
26.09.20093010093,9
27.09.20093010075,7


New: Returning visitors

  Name Start value End value Dynamic Measure units Optimization method Parent
Root New: Returning visitors  UpGreenSLGreen 0,3096 0,6368 + 0,327 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

Graph for New: Returning visitors

Data for New: Returning visitors

DatesWeightMinMaxValue
26.09.200930,210,3096
27.09.200930,210,6368


Stickiness index

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Stickiness index  UpGreenSLYellow 0,4672 0,888 + 0,421 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

Graph for Stickiness index

Data for Stickiness index

DatesWeightMinMaxValue
26.09.200920,210,4672
27.09.200920,210,888


Performance Assessment

  Name Start value End value Dynamic Parent Contains
Root Performance Assessment  SLYellow 35,66 % 60,73 % + 25,07% 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

Graph for Performance Assessment

Data for Performance Assessment

DatesValueWeight
26.09.200935,662
27.09.200960,732


Recency degree

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Recency degree UpGreenSLYellow 0,4185 0,4935 + 0,075 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

Graph for Recency degree

Data for Recency degree

DatesWeightMinMaxValue
26.09.200920,40,90,4185
27.09.200920,40,90,4935


Inventory turnover

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Inventory turnover  DownGreenSLYellow 1,805 1,339 -0,466 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

Graph for Inventory turnover

Data for Inventory turnover

DatesWeightMinMaxValue
26.09.20093121,805
27.09.20093121,339


Mean time spent on website

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Mean time spent on website  DownRedSLYellow 16,181 16,048 -0,133 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

Graph for Mean time spent on website

Data for Mean time spent on website

DatesWeightMinMaxValue
26.09.2009312016,181
27.09.2009312016,048


Financial perspective

  Name Start value End value Dynamic Parent Contains
Root Financial perspective  SLYellow 31,57 % 38,83 % + 7,26% 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

Graph for Financial perspective

Data for Financial perspective

DatesValueWeight
26.09.200931,572
27.09.200938,832


Revenue gathered on per visit basis

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Revenue gathered on per visit basis  UpGreenSLYellow 3,916 5,347 + 1,431 $ 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

Graph for Revenue gathered on per visit basis

Data for Revenue gathered on per visit basis

DatesWeightMinMaxValue
26.09.200921103,916
27.09.200921105,347


Off-line sales boost

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Off-line sales boost  DownRedSLYellow 33,76 18,64 -15,12 % 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

Graph for Off-line sales boost

Data for Off-line sales boost

DatesWeightMinMaxValue
26.09.200931010033,76
27.09.200931010018,64


Sales on per hour basis

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Sales on per hour basis  UpGreenSLGreen 45,451 75,745 + 30,29 $ Maximize Financial perspective
Description This will be equal to the volume of sales managed in each hour.

Graph for Sales on per hour basis

Graph for Sales on per hour basis

Data for Sales on per hour basis

DatesWeightMinMaxValue
26.09.20093110045,451
27.09.20093110075,745
Created by: AKS-labs
Report created with Balanced Scorecard Designer at 22.09.2009 20:36:42

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