KPI Analysis and Techniques

Course ID
Course Name
Type
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KPI0115KPI Analysis and Techniques On-DemandRegister
  • OMCPOverview

    It’s hard to know which metrics are the most effective…and which are a waste of time. For years, analysis revolved around tracking total and unique visitors, but things have become a great deal more sophisticated. In this short course, Avinash attacks analytics training with a comprehensive introduction to defining and measuring Key Performance Indicators (KPI) — one of the absolute cornerstones of Web Analytics analysis — giving a solid foundation for more advanced analytics strategies.

    Topics

    • Key Performance Indicators Simplified
    • Unactionable KPI Analysis Techniques
    • Understanding KPIs Through Email Marketing Analytics

    Bonus Articles

    • Your Web Metrics: Super Lame or Super Awesome?
    • Kill Useless Web Metrics: Apply the “3 Layers of So What” Test

    Duration
    Approximately 4-6 hrs over a 3 month period
    **You have 90 days from time of registration to access your course

    Price
    Member – $189
    Non-member – $219

    Register

  • Download Outline

    Key Performance Indicators Simplified, Part 1

    • The definition of KPI
    • Why great KPIs are uncomplex
    • Why great KPIs are relevant
    • Why great KPIs are timely
    • Why great KPIs are instantly useful
    • Examples of key performance indicators

    Key Performance Indicators Simplified, Part 2

    • The most important question you need to answer in web analytics
    • The difference between macro and micro conversions
    • How to present your KPIs to drive action
    • How segmentation makes your KPIs more useful
    • Why less is more when it comes to KPI dashboards
    • Why your KPI will differ from your competitors
    • Why there is no perfect KPI
    • Why KPI turnover is a good thing

    Unactionable KPI Analysis Techniques

    • Why we have way too much data and not enough insights
    • The definition of a key performance indicator
    • Why you should not trust averages and what you should trust instead
    • How distractions overcome the limitations of averages
    • Why percentages can be misleading
    • How raw numbers can help clarify the meaning of percentages
    • Why you should resist the temptation to set ratio “rules of thumb”
    • Why you much setup proper incentives
    • Why compound metrics are useless

    Understanding KPIs Through Email Marketing Analytics

    • Why email matters
    • The three categories of data in email marketing
    • The twelve KPIs used in email analytics
    • How to analyze KPIs to track the performance of your email campaigns