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    From Page Views to Bounce

    Rates: The Fundamentals ofWebsite Analytics

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    So here's something well

    like to announce as apreamble...

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    Quite unlike anything in the past,businesses now can get 'live' datafrom their website and can use thisto improve their operations

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    But most businesses suck atknowing what to do

    with this live data

    LikeBig timeAnd thats why Web analytics is amuch in demand skill.

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    How can studying data can

    help you run your businessbetterAnd why are managers not doing it

    currently

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    Even if you dont see job titles

    for Web Analytics, this is a very

    useful additional skill to have

    Especially if you have been around for a

    couple of years in the web industry.

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    So what really do

    Analytics guys doThey use web analytics data to help makebusiness decisions based on concrete data

    and historicaltrends. Before this, a lot of these decisionswere done just based on that dangerous

    thing called gut feel

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    What's the difference between a visitor and

    a visit? What's the difference between

    frequency and recency?

    This is stuff which a Web Analytics

    professional should have ready answersto.

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    Formal Definition ??

    Web Analytics is the measurement, collection,

    analysis and reporting of Internet data for the purposes ofunderstanding and optimizing Web usage.- Web Analytics Association

    We know what youre thinking

    Whats that supposed to mean ????

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    Lets get a perspective first

    11

    JavaScript Tags

    Log Files &

    Hit Counters

    Click & heat

    maps

    Mobile

    Analytics

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    And see what web analytics helps us to measure

    Who are your visitors?

    Country/city

    B

    rowser/OS data New/Repeat

    Improve ROIImprove ROI

    How do they reach your website? From which site?

    Which campaign works better?

    What SEO/SEM keywords work?

    What are they doing..?

    Are they converting?

    How long do they stay on your site?

    What do they read?

    Whats making them leave?

    much more

    12

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    13

    Some common tools

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    Date source: Internet Retailer Top 500 Retail Web Sites

    Date: January 2008Sites: 500

    Data points: 793

    http://www.internetretailer.com/Top500/list.asp

    24% use at least 2 solutions

    on their site

    14

    What the Top 500 online retailers are using...

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    Which are the metrics which

    you need to watch out for

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    Revealed : Why MBAs hate Analytics : There are too many metrics !!

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    But this is what must be monitored

    Pts from Neha

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    Businesses usually stop at just

    setting up analytics

    Thats where it is supposed to begin.

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    Show std analytics snapshot

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    Some very relevant analysis

    can be done

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    PartnerSites/Referrals

    E-PRs

    Direct type-ins

    BrowserBookmarks

    Search EnginesOrganic | SEM

    BannerAdvertizing/MediaE-Mailers

    Social Media

    SocialBookmarks

    The source of visitors to your site can bestudied

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    SEM campaign can be optimized

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    PPC: Showing the Right Creative

    23

    Optimizing Ad Creative by

    click-through is like a flipping acoin. Youll be wrong half-the-time.

    Ad Text is as important in qualifying visitors as search term. Measurementcan help you find the truly optimal combinations.

    Which Ad

    should Ireally use?

    Google Ad Optimization versus Proxy Conversion Optimization

    AdGroup Ad CTR

    Conversion

    Rate

    % of time

    s o n byGoogle

    A

    3 0.49% 2.80% 35.46%

    4 0.51% 1.72% 55.49%

    B

    2 0.31% 16.67% 1.01%

    4 0.43% 0.42% 57.17%

    C

    3 0.05% 1.39% 46.04%

    4 0.05% 3.39% 46.31%

    D

    3 0.30% 0.00% 32.41%

    4 0.29% 5.56% 33.37%

    F

    3 0.37% 2.67% 14.03%

    4 0.44% 1.46% 49.52%

    5 0.47% 2.52% 17.82%

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    Identify weak SEs, keywords to work onGain insights to visitors intent (eg.: course vs institute shows more focus onsubject/content than brand)

    Analysis of Organic traffic helps strategize SEM campaign

    SEO campaign can be optimized

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    SEO: Finding Opportunities

    25

    .. .

    Measurement can help you find SEO opportunities and discipline an SEOprogram.

    Pages in Group

    Search Engine

    Source Google % Yahoo % MSN %

    Database Pages 6,210 81,534 78.0% 12.2% 0.5%

    Index Page 1 8,037 40.9% 22.5% 20.5%

    Overall Site 100,000+ 7,670,974 41.1% 32.8% 7.9%

    Where

    should I

    focus SEO

    efforts?

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    Search Term Type

    % of

    Visits

    Qualification1

    Rate

    Qualification2

    Rate Drop-off Type 1 Words 30.9% 12.2% 5.1% 58.4%

    Type 2 Words 36.6% 23.0% 10.7% 53.7%

    Type 3 Words 19.2% 53.4% 39.1% 26.7%

    Type 4 Words 13.4% 36.1% 20.4% 43.5%

    Optimizing to the Right Measures

    26

    .

    What keywords

    actually

    produce?

    Paying for many clicks (and SEO optimizations) is a total waste. Measuringthe quality of visitors is the only way to understand what really works.

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    Internal Search Optimization

    On-Site (internal)

    Search is a critical

    component of actual

    site performance.

    But its analysis is

    complex because it

    routes to so many

    places.

    27

    What do visitors

    search on and

    where do they

    go from search?

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    And advanced features can

    be implemented

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    ContentConsumption

    ContentConsumption

    PV/Visit

    Time on Site

    Time on Page(or article)

    Section-wisePVs/Time on

    site

    Visitor LoyaltyVisitor Loyalty

    UniqueVisitors

    New Visitor%

    Visits

    Leads/Registrations

    Leads/Registrations

    Conversions/Goals

    ConversionValues

    Goal Funnels

    Sale/ E-Commerce

    Sale/ E-Commerce

    Conversions/Goals

    TransactionDetails

    Goal Funnels

    29Primary GoalsSecondary Goals

    For example, goals of users can be tracked

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    Google Analytics changed the

    landscape completely when itlaunched a free package in 2005

    Coming to the vendors, the main

    vendors are Google Analytics,

    CoreMetrics, Websidestory,Omniture, Web trends.

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    Vendor Profile: Omniture

    Type ofOffering

    Tag-Based

    Analytics very robust

    Rich 3rd Party integration

    Current Market Leader Complex implementation

    Appropriate For:

    Larger companies looking for the safest-bet in analytics.

    Combines solid reporting and analytics strength in almost every area. Analytically inclined companies.

    Expensive & support is not considered good.

    31

    www.omniture.co

    m

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    Google Analytics

    Type ofOffering:

    Tag-Based

    Modest Reporting and Limited Analytics

    Low-range offering with easy implementation and very

    attractive GUI.

    Appropriate For:

    Modest web sites not requiring lots of vendor support.

    Sites that are limited in their analytic needs or heavily focused

    on PPC.

    Companies new to web measurement.

    32

    www.google.com/analyti

    cs/

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    So should I get into this ?

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    The futures bright

    Web Analytics is hard.

    Eric Peterson

    10% of your budget should be spent on tools,

    while 90% spent on people (brains) who will

    be responsible for insights. Avanash Kaushik

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    Basic skills which employers wouldlook out for

    Great with nos and Good data patternrecognition skills.

    Basic html and javascript skills so that you canwork with any nagging issues during analyticsset-up and maintenance.

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    Basic skills which employers would lookout for

    Ability to communicate findings to the business in terms itcan understand.

    Familiarity with the main Analytics packages.

    Capability to understand what data needs to be tracked forthe business to grow. This requires experience of a fewyears, does not come easily.

    Expertise in report design and configuration

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    An actual jo description

    Analyzes Website performance, trends and click stream path analysis activity to providedata driven business insights, leading to fundamental improvements to the Websiteexperience.

    Demonstrates a high degree of pro-activeness in analysing customer behavior usingavailable data to influence changes on the Website.

    Day-to-day management of analytics system to ensure tracking, reporting and analyticsare functioning optimally.

    Creates and maintains key reports, dashboards and analysis utilizing WebTrends andSQL.

    Identify and track trends in metrics and be able to identify improvements to Website based

    on usage and traffic patterns.

    Perform Search Engine Optimization and advise on search and display ads

    Conducts ad-hoc traffic, sales and testing analysis of the site.

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    What if you are not from the

    SEO/SEM/SMO

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    Case Study : Google

    Analytics

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    Extremely simple user-friendly interface

    Compatible with Google Adwords or Adsense

    Goal oriented analysis & Intelligence

    Correlate data across reports

    Customizable Reports

    Free

    Key pointsKey points

    40

    Some Advantages of Google Analytics

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    Google Analytics jobs have increased

    more than those forO

    mniture

    Source :

    WebWorkerdaily.com

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    42

    Account Settings Page

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    Profiles Accounts

    Create a new account foreach website

    Create Profiles within Accounts - to track

    different visit segments, create access levels or

    website sectionsCan link1 AdWords to 1 Analytics Account

    Adminaccess is at Account level

    Profiles and Accounts

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    Place within body of web page

    Place on ALL pages within the website

    The Code:Generatingand Implementing

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    Google

    Analytics

    collects your

    data based on 5

    broad segmentsWhich give us over 80

    primary reports, which can

    be further drilled down to

    over 1,000 unique reports.

    45

    Reported Segments

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    GraphDay/week/month viewsCompare 2 metricsCompare to siteCompare date rangesHighlight data point onmouse-over

    Data ta le

    Overview of selectedcomponent5 unique data viewsSearch box toinclude/exclude specific dataEasily compare performanceto Site Avg.

    Easily export/email a report4 format options, incl. PDF,

    XML, CSV & TSV

    46

    Data Representation

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    More slides from Neha


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