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Tracking users

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Making that data usable is another thing altogether! ... BizRate.com. Keynote Systems. Dylan Tweney. www.tweney.com. Conclusions ... – PowerPoint PPT presentation

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Title: Tracking users


1
Tracking users
  • Analyzing how people use your site

by Dylan Tweney www.tweney.com
dylan_at_tweney.com
2
From Web logs to customer databases
  • Web servers record massive amounts of data
  • Making that data usable is another thing
    altogether!
  • Web data is an integral part of e-business
    intelligence -- learn to love it
  • If a Web site goes down and theres no one there
    to hear it, does it make a sound?

3
A sample web traffic log
4
Log file details
  • net124.infoworld.com - - 15/May/2000135450
    -0400 "GET /weblog.shtml HTTP/1.1" 200 21583
    "http//www.tweney.com/" "Mozilla/4.0
    (compatible MSIE 5.0 Windows 98 DigExt)"
  • j101.inktomi.com - - 15/May/2000135459 -0400
    "GET / HTTP/1.0" 200 17931 "-" "Slurp/si
    (slurp_at_inktomi.com http//www.inktomi.com/slurp.h
    tml)"

5
Finding useful information
  • Forget hits
  • Concentrate on pageviews and unique visitors
  • Examine paths through site
  • Relative page analysis (home page vs. other
    pages top pages on site)

6
Referer log data
  • How do surfers find your site?
  • Search engine query terms - whats working?
  • Whos linking to your site?

7
Other important metrics
  • Click-throughs (on banners, product offers, etc.)
  • Conversion rates (sales!)
  • Other business metrics Cost per customer, cost
    per sale, repeat customer rate, average
    transaction size, etc.

8
Software that can help
  • WebTrends
  • Accrue Hit List (formerly Marketwave)
  • Macromedia Aria (formerly Andromedia)

9
Outsourcing options
  • I/Pro
  • Service Metrics
  • Keynote
  • WebCriteria

10
Traffic analysis demo
  • Sample WebTrends report
  • click here

11
Slicing and dicing
  • Page views by section of your site
  • Page views by day / hour
  • Host domains / companies (AOL, etc.)
  • Browsers / operating systems used
  • Visiting robots

12
Design / implementation / analysis loop
  • Design for your customers
  • Build and deploy -- then examine usage data
  • Make sure data finds its way back to site
    builders!
  • A/B testing (per Jeff Bezos)

13
Demographics the holy grail of Web analysis
  • (Its arduous to find, only the pure in heart can
    bring it home, and it usually arrives too late to
    help)
  • More specifically Moving technical metrics to
    business context
  • Integrating customer information with Web
    behavior
  • Accrue Insight
  • net.Genesis

14
Specific customer behavior
  • Identify your best customersand treat them
    accordingly!
  • Requires some kind of user identification
    registration, login, cookies, unique URLs

15
Security and privacy issues
  • Dont do a DoubleClick
  • Privacy statement Draft, and post
  • Let users decide whether or not to share their
    data

16
How to capture more valuable data
  • Surveys
  • and, as bait contests and giveaways
  • Incentive programs for frequent customers /
    visitors (CyberGold, Beenz, Flooz)
  • Search engine logs
  • Email newsletters
  • User registration
  • Personalization

17
Survey services/software
  • Zoomerang
  • CoolSurveys
  • PinPoint

18
Analyze your own search engine logs
  • What are people searching for on your site?
  • What searches turn up zero results?
  • What searches turn up more than 2 screens of
    results?
  • Close the loop with enhanced metatags,
    manually-crafted search results, jump keywords

19
Using email to track usage
  • A page view doesnt have to happen through a
    Web browser
  • Opt-in newsletters are a terrific indication of
    interest
  • Use unique URLs to track click-throughs on
    mailings
  • HTML e-mail lets you count whos actually opening
    the messages

20
User registration strategies
  • Deliver real value in exchange for personal
    information / registration
  • Cookies -- simplify subsequent identification /
    login
  • Follow up with registered users after sale -- or
    non-sale -- via email survey
  • Track registered users traffic vs. known data
    (e.g. purchase history, ZIP code)

21
Personalization!
  • Let your customers tell you what they want
  • Completes the design/implement loop with
    customer-specific feedback -- automatically
  • Example Amazon.com Recommendations (demo)

22
Benchmarking
  • Compare your site to the rest of the Web -- and
    your competitors
  • Media Metrix
  • BizRate.com
  • Keynote Systems

23
Conclusions
  • The best designed-site in the world still needs
    real-world testing
  • Listen to your users -- and watch them. Theyll
    tell you whats working -- and what needs to be
    fixed.
  • Continue enhancing your site based on feedback
    traffic analysis.
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