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INTERNET COMMERCE METRICS

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Title: INTERNET COMMERCE METRICS


1
INTERNET COMMERCE METRICS
2
What is Metrics?
  • A basic unit used to quantify audience activity
  • the yardstick of measurement
  • Uniformly defined across the entire medium
  • Metrics example in advertising
  • click through a metric which describes a user
    positioning his/her mouse over an ad, and
    clicking on it
  • page view a metric that entails the successful
    transfer of a web page to the users browser

3
What is E-Commerce
  • Electronic commerce has been defined as
  • all orders received online automatically without
    staff intervention, regardless of payment method,
    for traditional commercial products and services
    (excluding internet access and hosting)
  • Internet commerce metrics therefore, is performed
    only on companies whose qualities meet the above
    definition

4
Measuring a Sites Performance Quality
5
Web Site Performance Quality and Management
  • WSPA M is a process of collecting and
    presenting web site performance information from
    the web site visitors perspective
  • Critical in managing any web-based presence

6
Performance Quality (1)
  • 3 basic factors make up a web sites performance
    quality
  • speed
  • availability
  • speed and availability of virtually all sites
    fluctuate with daily ebb and flow of overall net
    traffic

7
Performance Quality (II)
  • consistency
  • can be controlled by web managers by tuning
    servers, databases and backend systems or working
    with service providers

8
I-Commerce Metrics Methodology
9
ActivMedia Top 100 Retail E-Commerce Websites
(I)
  • Conducted 4 successive waves of research to
    define vendors at the top of the e-commerce food
    chain between mid-September 1998 and January 1999
  • Qualitative and Quantitative field techniques
  • Secondary Database Research
  • compilation of 1,000 likely candidate web sites
    and contact information from publicly listed
    top lists by sites such as Lycos, PC Magazine,
    MediaMetrix. Also judgmental inclusions based on
    E-commerce vendor recommendations

10
ActivMedia Top 100 Retail E-Commerce Websites
(II)
  • Primary telephone research
  • Direct contact and screening of each of the 1,000
    likely candidates for E-commerce qualification
    and revenue/growth information
  • trained executive interviewers entered each
    company from the starting point and laddered its
    way through the company to qualify them for
    e-commerce capability
  • secondary sources (news releases, SEC filings,
    database information sources) were utilized to
    estimate missing data (1 out of 4 cases)

11
ActivMedia Top 100 Retail E-Commerce Websites
(III)
  • Site Performance data collection
  • online server-based Agent technologies were sent
    to scan 240 known E-commerce sites for server
    performance and design characteristics
  • ActivMedia teamed up with SiteMetrix for this
    during the high intensity thanksgiving shopping
    period
  • integrated 3 elements of site performance that
    determine the quality of a visitors experience
  • server response, link integrity and page size

12
ActivMedia Top 100 Retail E-Commerce Websites
(IV)
  • Field site visits
  • made by analysts to the top 100 e-commerce sites
    on the internet to analyze business and web site
    strategies deployed at each site, and create
    mini-case studies for the top 50 merchants

13
Business2 The 100 Hottest Companies on the Net
(I)
  • Companies must have web-based, or web-assisted
    revenues in order to qualify
  • business-to-consumer companies must make money
    from web orders or services, or deliver via the
    web
  • business-to-business companies must make money
    from direct web orders, or a significant part of
    the order

14
Business2 The 100 Hottest Companies on the Net
(II)
  • Winners were set apart based on strategy

Relentless work on branding
AOL Schwab
An intuitive engaging customer buying experience
Amazon.com NECX
Rapid introduction of new services
Yahoo! Sabre Group
Long term approach to investment returns
Marshall Industries Getty Images
Leveraging market value power for acquisition
ETrade Cisco Systems
15
Methodology
16
Forrester Travel Sites Ranking (I)
  • Online travel industry poised to grow from 3.1
    billion now to gt 29 billion in 2003
  • Majority will be from travel sites being
    researched on by customers today
  • Who is most likely to win? - Forrester Inc.
    Technographics report
  • sites ranked by profiles of their current users

www.forrester.com
17
Forrester Travel Sites Ranking (II)
  • Evaluation of todays web travel providers
  • Reach
  • the percentage of travel lookers/bookers that
    report visiting a site in the past year to
    research travel
  • Booking score
  • how well a site converts its experienced bookers
  • Revenue index a sites earning power
  • how much its visitors spend on leisure travel
    each year, and what percentage is booked online

18
Forrester Travel Sites Ranking (III)
Formula Revenue index
X Reach X Booking score Average amount spent
online
  • Web portals scored well in
  • ratings due to their audience
  • reach, but however, produced
  • little revenue
  • Portals need to add more
  • powerful travel features into
  • their pages to offer incentives
  • for travelers who book through their travel
    agencies

19
Forrester Travel Sites Ranking (IV)
  • Suppliers have limited reach and
  • revenue growth
  • Major airline beat this constraint
  • by offering full-fledged reservation
  • systems on their sites
  • Suppliers need to focus on wider
  • distribution of their inventory
  • Online travel agencies will only be
  • in demand for a few all purpose
  • sites, although they offer the best
  • of suppliers and portals sites in one
  • location
  • Travelocity and Expedia have ascended
  • to the top largely due to their affiliation
  • with Yahoo! and MSN respectively

20
Forrester Travel Sites Ranking (V)
21
I-Commerce Metrics Services
22
E-Commerce Metrics Services
  • Small and large e-commerce sites need to know
    their web site performance quality,
  • How their site ranks in the competitive world of
    e-commerce
  • A number of metric sites have evolved in the
    process
  • employ different approaches in rating different
    web sites
  • discrepancies sometimes exist between these sites

23
Media Metrix RelevantKnowledge (I)
  • The 2 audience measurement sites produce nearly
    identical results
  • Differences lie only in certain parameters
  • universe definition
  • universe size estimate
  • website definitions
  • reporting interval
  • known sample biases
  • standardization of these parameters led to more
    accurate and reliable rating results

24
Media Metrix RelevantKnowledge (II)
25
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26
Neilsen/NetRatings (I)
  • Makes use of 2 methods of measurement
  • Measurement technology internet activity
    tracking and reporting software
  • BannerTrack
  • top banner ads by impression
  • advertising by domain
  • advertising by company
  • CommerceTrack
  • CacheTrack

27
Neilsen/NetRatings Audience Measurement
  • Audience measurement service provides 3 levels
    of audience information
  • traffic measures for web sites (by property,
    domain and unique site)
  • audience exposure and response to ad banners (by
    advertiser, site and banner)
  • audience demographics linked directly to site and
    advertising data

28
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29
Service Metrics
  • Has developed measurements that use automated web
    site visits to generate data for site performance
  • allows customers or professional services to
    isolate and troubleshoot sources of performance
    problems
  • managers can prioritize problems and select from
    available options, the most cost-effective
    solution

30
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31
Other Web Metrics Services (I)
  • Keynote Lifeline (TM) measurement service
  • provides small to mid-size e-commerce sites an
    easy and economical way to
  • gauge the performance of their web sites
  • identify and diagnose problems
  • improve service quality for customers online

http//lifeline.keynote.com
32
Other Web Metrics Services (II)
  • E-Marketer (www.emarketer.com)
  • employs a very different approach to compiling
    web site data
  • consider data from as many reputable web sites as
    possible
  • taken together, multiple sources, coupled with
    common sense and business intelligence , create a
    reasonably accurate picture

33
Conclusion
34
Questions to Ponder (I)
  • Majority of online users may put merchandise into
    their shopping cart, but end up not buying
  • Survey by Net Effect indicates the culprit as the
    sites lack of real-time online customer service
    and support
  • sites surveyed include Amazon, Dell and eToys
  • Online companies must rethink how they can
    provide immediate expertise to customers so that
    contemplated purchase become sales

35
Questions to Ponder (II)
  • Do we greet new arrivals in a way that will
    enable us recognize them on subsequent visits?
  • Do we offers services choices that move customers
    from automated to personal service based on how
    much assistance they need?
  • Do we have a system that effectively tracks
    customer events?
  • How complete and accessible is our knowledge
    base?
  • Are our shopping carts smart?
  • Quick easy access to service tools during a
    purchase

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