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Performance Metrics

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Performance Metrics. Assist. Prof. Dr. Özge Özgen 20.12.2011. OBJECTIVE Develop an understanding of how to assess the financial and strategic performance o f an e-business company. 4231 views and mentions of your viral marketing campaign on the first day 4231 is a measurement. - PowerPoint PPT Presentation
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Performance Metrics Performance Metrics Assist. Prof. Dr. Özge Özgen Assist. Prof. Dr. Özge Özgen 20.12.2011 20.12.2011 OBJECTIVE OBJECTIVE Develop an understanding of how to assess the financial and the financial and strategic strategic performance performance of an e- business company.
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Page 1: Performance Metrics

Performance MetricsPerformance Metrics

Assist. Prof. Dr. Özge ÖzgenAssist. Prof. Dr. Özge Özgen

20.12.201120.12.2011

OBJECTIVEOBJECTIVE

Develop an

understanding of how to

assess

the financial and the financial and

strategic strategic

performance performance of an e-

business company.

Page 2: Performance Metrics

4231 views and mentions of your viral marketing campaign on the first day◦ 4231 is a

measurement.◦ Without a context, it is

just a numberConsider goals and

expectations of your company and your competitors’ effort

Page 3: Performance Metrics

Performance MetricsPerformance Metrics

Metrics translate the company’s vision,

mission or e-business model into

components with measurable outcomes.

◦ The performance metrics must be easy to

understand and use

◦ Metrics must be actionable

◦ When employee evaluations are tied to metrics,

people will be motivated to make decisions that

lead the desired outcomes

Page 4: Performance Metrics
Page 5: Performance Metrics

Metrics FrameworkMetrics Framework

Page 6: Performance Metrics

Financial and Other Metrics of Financial and Other Metrics of OverallOverall PerformancePerformance

Sales

Revenue

Gross Margins

Profits

Marketing Spend

Sales

Revenue

Gross Margins

Profits

Marketing Spend

Market Share

Relative Return on Investment

Market Share

Relative Return on Investment

Page 7: Performance Metrics

Traditional Hierarchy-of-Effects ModelTraditional Hierarchy-of-Effects Model

PurchasePurchase

Relationship Stages

Awareness

Exploration/ Expansion

Commitment

Dissolution

Hierarchy-of-Effect Stages Sample Metrics

I am aware of Amazon

I know what products Amazon carries

I know Amazon vs. BN.com

Quality of customer service interactions

Satisfaction with Amazon

Frequency of repeat purchases Amount of repeat purchases “Share of wallet” vs. competition

I like Amazon

I plan to buy from Amazon Next time I buy, it will be from

Amazon

Frequency of purchases Amount of purchases

AwarenessAwareness

KnowledgeKnowledge

AttitudeAttitude

Purchase intent

Purchase intent

Post-purchase

behavior and satisfaction

Post-purchase

behavior and satisfaction

LoyaltyLoyalty

Not in model

Page 8: Performance Metrics

Stages of Online Buying ProcessStages of Online Buying Process

Search and shopping

Search and shopping

PurchasePurchase

Post-purchase

Post-purchase

LoyaltyLoyalty

Exploration/ Expansion

Commitment

Dissolution

Hierarchy-of-Effect Stages Sample Metrics

Number of visitors Requests for product

information (e.g., page views and patterns)

Size of purchases Conversion rates

Online satisfaction surveys

Frequency of repurchases Dollar amount of repurchases Purchase intervals “Share of wallet” in category Lifetime value metrics

Relationship Stages

AttritionAttrition Interval since last purchase Percentage of returns

Page 9: Performance Metrics

An Integrated Model of Customer An Integrated Model of Customer MetricsMetrics

Online IntegratedOffline

PurchasePurchase

Post-purchasePost-purchase

LoyaltyLoyalty

AwarenessAwareness

KnowledgeKnowledge

AttitudesAttitudes

Purchase intentPurchase intent

Search and shopping

Search and shopping

PurchasePurchase

Post-purchasePost-purchase

LoyaltyLoyalty

AttritionAttrition

AwarenessAwareness

KnowledgeKnowledge

AttitudesAttitudes

Purchase intentPurchase intent

Search and shopping

Search and shopping

PurchasePurchase

Post-purchasePost-purchase

LoyaltyLoyalty

AttritionAttrition

“Ask”

“Observe”

“Observe”

“Ask” and“Observe”

Page 10: Performance Metrics

ConversionsConversions Conversion is the number of visitors who took a

desired action on your site◦ Buy Something◦ Download◦ Filled out a form

Conversion Rate = Desired Action /Total Number of Visitors (Typically 1 month)◦ For example, if 1,000 unique visitors were driven to your

website from a search engine and 10 elected to purchase a

product then your “sales” conversion rate would be 1.0%.

Page 11: Performance Metrics

The Power of Conversion RatesThe Power of Conversion Rates

Conversion Rate

2% 4% 8%

Advertising costs $10,000 $10,000 $10,000

Visitors 5,000 5,000 5,000

Transactions 100 200 400

Cost / Transaction $100 $50 $25

Revenue $10,000 $20,000 $40,000

Marketing / Revenue (%) 100% 50% 25%

Note: Average transaction size = 100%Source: Gurley, J. William. The Most Powerful Internet Metric of All. CNet.com, 21 February 2000.URL: http://news.com/Perspectives/2010-1072-281288.html.

The chart illustrates that a small improvement in conversion rate has a large increase in revenue

Page 12: Performance Metrics

Frequently Used Website MetricsFrequently Used Website Metrics3. Visit Metrics

Stickiness (visit duration time)

The length of time a visitor spends on a website. Can be reported as an average in a given time period, without regard to visitor duplication.

Raw Visit Depth (total webpages exposure persession

The total number of pages a visitor is exposed to during a single visit to a website. Can be reported as an average or distribution in a given time period, without regard to visitor duplication.

Visit Depth (total unique webpages exposure per session).

The total number of unique pages a visitor is exposed to during a single visit to a website. Can be reported as an average or distribution in a given time period, without regard to visitor duplication.

4. Hit Metrics

Hits When visitors reach a website, their computer sends a request to the site’s computer server to begin displaying pages. Each element of a requested page (including graphics, text, interactive items) is recorded by the site’s server log file as a “hit.” Hence, a single page with multiple graphics can be counted as multiple hits since each graphic is counted as a separate hit. Given that page designs and visit patterns vary from site to site, the number of hits bears no relationship to the number of pages viewed or visits to a site and so are generally regarded as an inaccurate form of measuring traffic.

Qualified Hits A further refinement of hits, qualified hits exclude less important information recorded in a log file (such as error messages, etc.). While qualified hits provide a better idea of traffic volume than overall hits, this figure is still not an accurate assessment of actual number of users.

1. Visitor Metrics

Unidentified Visitor

A visitor is an individual who visits a website. An “unidentified visitor” means that no information about that visitor is available.

Unique Visitor A unique visitor is one who can be recognized and counted only once within a given period of time, usually between a half-hour and an hour. An accurate count of unique visitors is not possible without some form of identification, registration, or authentication.

•Session visitor

A session ID is available (by cookie or token) or inferred (by incoming IP address plus browser type), which allows a visitor’s responses to be tracked within a given visit to a website.

•Tracked visitor

An ID is available (e.g., cookie), which allows a user to be tracked across multiple visits to a website. No information, other than a unique identifier, is available for a tracked visitor.

•Identified visitor

An ID is available (by cookie or voluntary registration), which allows a user to be tracked across multiple visits to a website. Other information (name, demographics, possibly supplied voluntarily by the visitor), can be linked to this ID. Another way to obtain an identified visitor ID is to develop a Web gateway or panel (e.g., WebTV or PC Meter) that captures a complete record of a visitor’s behavior.

2. Exposure Metrics

Page Exposures (page views)

The number of times a particular webpage has been presented to visitors in a given time period, without regard to visitor duplication.

Site Exposures The number of visitor sessions at a website in a given time period, without regard to visitor duplication.

Page 13: Performance Metrics

www.onlinewebstats.comwww.onlinewebstats.com

Page 14: Performance Metrics

Frequently Used Online Advertising Frequently Used Online Advertising MetricsMetrics

Banner/Page/Site Frequency

The number of times unique visitors were exposed to a banner or visited a page or website.

Effective Frequency The number of exposures needed for an ad to become “effective.” In mass media models, advertisements require a certain amount of exposure before they can be deemed effective. Research has indicated that less than three exposures will not allow adequate recall. Too many exposures can be inefficient—after 7, 8, or 10 exposures, improved recall is incremental.

Effective Reach The number of people who are exposed to an ad at the effective frequency.

3. Other Metrics

Ad Click-Through (ad Click Rate)

The percentage of visitors who were exposed to a banner, clicked on the banner, and then were exposed to a target ad in a given time period, without regard to visitor duplication.

Cost Per Inquiry The cost to generate an inquiry in direct-response advertising, such as banners. Calculated by the total cost of the direct-response advertisement divided by the number of inquiries it generates.

1. Exposure Metrics

Impressions (exposures, ad views)

Number of times an ad banner is downloaded and presumably seen by visitors. One impression is counted each time an advertisement is delivered by a Web server.

Gross Impressions The sum of all media exposures (number of people or homes) disregarding duplication.

CPM Cost per thousand impressions (or exposures). The cost to serve 1,000 impressions through a given website.

2. Reach and Frequency Metrics

Reach The number of unduplicated people or households that will be exposed to an advertising schedule at least once over a specified period of time.

Banner/Page/Site Reach

The number of unique visitors exposed to a banner or who visited a page/site in a given time period.

Frequency The number of times that an individual is exposed to a particular advertising message in a given period of time.

Page 15: Performance Metrics

Complexities and Challenges in Complexities and Challenges in Online Metrics Online Metrics

In developing and deploying online metrics, a number of challenges may arise:

Page 16: Performance Metrics

Social Media MetricsSocial Media Metrics

Social media leads.

Track web traffic breakdowns from all social

media sources, and chart the top few sources

over time.

Membership increase and active network size

Activity ratio.

◦ How active is your company’s collective social

network? Compare the ratio of active members vs

total members

Page 17: Performance Metrics

Social Media MetricsSocial Media Metrics

Conversions

Brand mentions in social media

Virality.

Social members might be sharing Twitter tweets

and Facebook updates relevant to your company,

but is this info being reshared by their networks?

How soon afterwards are they resharing?

How many Friends of Friends are resharing your

links and content?

Page 18: Performance Metrics

Online Tracking — EBay Customer Online Tracking — EBay Customer MetricsMetricsStagesStages Customer MetricsCustomer Metrics Implementation MetricsImplementation Metrics

Search and Shopping

Search and Shopping

AuctionAuction

Post-auctionPost-auction

LoyaltyLoyalty

Number of unique visitors

Number of repeat visitors

Number of registered users

Number of unique visitors

Number of repeat visitors

Number of registered usersNumber of auctions user participates in

Average dollar amount per auction

Average dollar amount per product category

Number of auctions user participates in

Average dollar amount per auction

Average dollar amount per product category

Percentage of returnsOnline satisfaction

surveysAuctions won vs. lost

Percentage of returnsOnline satisfaction

surveysAuctions won vs. lost

Frequency of auction participation

Interval since last auction

Share of auctions (identify competitors)

Frequency of auction participation

Interval since last auction

Share of auctions (identify competitors)

Website: Number of page views, length of stay (stickiness), pattern of sites visited

Community: Number of users on My eBay

Website: Number of page views, length of stay (stickiness), pattern of sites visited

Community: Number of users on My eBay

Website: Time spent inside auction

Product: Conversion to “Buy Now” feature; length of auction

Communications: Conversion to “E-mail a Friend”

Distribution: Profitability per seller

Website: Time spent inside auction

Product: Conversion to “Buy Now” feature; length of auction

Communications: Conversion to “E-mail a Friend”

Distribution: Profitability per sellerCommunity: Replies to feedback, number of fraud reports

Website: Transactions finalized vs. dropped

Community: Replies to feedback, number of fraud reports

Website: Transactions finalized vs. dropped

Distribution: Items sold vs. not sold

Distribution: Items sold vs. not sold

Page 19: Performance Metrics

83.01078.647

40.954

36.01633.000 32.154

29.334 29.25926.232

91.899

20.000

40.000

60.000

80.000

100.000

EBay Metrics — Unique Monthly EBay Metrics — Unique Monthly Visitors (March 2002)Visitors (March 2002)

Source: Media Metrix U.S. Top 50 Web and Digital Media Properties, March 2002

Unique MonthlyVisitors

Page 20: Performance Metrics

78,6

29,3 29,333,9

21,2

5,5 2,3

91,9

0

10

20

30

40

50

60

70

80

90

100

AOL Yahoo eBay Amazon

Monthly

Daily

EBay Metrics — Unique Monthly EBay Metrics — Unique Monthly and Daily Visitors (March 2002)and Daily Visitors (March 2002)

Percent of Total Web Users (114 million)

80% 69% 26% 26%

UniqueVisitors(in millions)

Source: Jupiter Media Metrix, March 2002

One quarter of all Web users visit eBay.

Page 21: Performance Metrics

0

10

20

30

Monthly 29,334 3,153 2,904 2,778 0,905 0,804 0,772 0,532 0,506 0,249 0,221 0,197

Daily 5,502 0,208 0,193 0,228 0,215 0,053 0,04 0,02 0,022 0,034 0,008 0,007

eBay uBid.comYahoo

AuctionsAndale

websitesQool.com Bidz.com

MyItem. com

HUD.orgSkyauction

.comeDeal.com

PhilTanny.com

EP.com

EBay Metrics — Unique Daily EBay Metrics — Unique Daily Visitors to Auction Websites (March Visitors to Auction Websites (March 2002)2002)

Daily

Uniq

ue V

isit

ors

(in

mill

ion

s)

Audience size for all auction sites with reportable traffic: 32.6 million monthly unique visitors 6 million daily Unique visitors

Source: Jupiter Media Metrix, March 2002

EBay has more visitors than all other auction websites combined.

Page 22: Performance Metrics

Number of

Registered Users(in millions)

2,2

10,0

42.4

22,0

0

5

10

15

20

25

30

35

40

45

Ara.98 Ara.99 Ara.00 Ara.01

EBay’s Registered-User EvolutionEBay’s Registered-User Evolution

Source: Company Reports

EBay’s registered user base has doubled or almost doubled every year.

Page 23: Performance Metrics

38,8

21,624,3

7,4

24,3

9,55,9

0

10

20

30

40

50

AOL Yahoo eBay Amazon eBay uBid YahooAuctions

EBay Metrics — Average Minutes EBay Metrics — Average Minutes Spent per User per DaySpent per User per Day

Source: Jupiter Media Metrix, March 2002

Average Minutes Spent by Customers per Day

eBay vs. other auction websites

eBay vs. other popular websites

EBay rates high in “stickiness.”

Page 24: Performance Metrics

Customer Metrics — ConclusionCustomer Metrics — Conclusion

◦ Each set of metrics – financial, customer-based and

implementation – gives managers information on

different aspects of performance.

Financial metrics assess the bottom-line

performance of the business

Customer-based metrics measure the health of the

business’s customer assets

Metrics that measure the implementation of the

marketing program explain what actions need to be

taken to strengthen the customer base and,

ultimately, the financial results


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