What You Get with 'Everyday Web Analytics' training

1. Streaming Video of Online Training Webinar
2. Special Report: 'Getting Started with Web Analytics'
3. Glossary of Web Analytics Terms by Web Analytics Association
4. Tool: Statistical Tester Spreadsheet

How to Understand and Use Your Web Analytics to Maximize Results

The vast amount of data available to marketers is staggering.
The ability to make better decisions (and avoid
bad decisions) when you properly track, analyze, and test -- is even more staggering. Put the data you collect from your web
site to use to maximize results and transform your marketing programs.

MarketingSherpa's 'Everyday Web Analytics Training' will walk you through optimized steps to set-up, manage and evaluate a 'first class' web analytics program. You'll find no ivory-tower theory in this training, just practical and easy-to-implement tactics to improve your marketing.

'Everyday Web Analytics' training will help you get started applying web analytics to quickly and easily grasp:

1. How to get a simple analytics program set up
   
2. What kind of analytics program will be the best fit, and if any advanced analytics solution is needed
   
3. What common problems web analysts may encounter
   
4. Which reports are the most useful and how to approach data analysis
   
5. Successful tactics for choosing the right tests
   
   

You Will Learn:

1. What you should be focusing on when trying to implement analytics
   
2. How to turn data into actionable insights
   
3. How to sift through mounds and mounds of data - and find what matters the most
   
4. What factors go into deciding the best analytics program for your needs
   
5. How to generate a unique "tag" and "add tag" codes to your website
   
6. How to look within analytics reports to see how tags are displayed
   
7. How to set up analytics to make sure all marketing materials are accountable and trackable
   
8. How to create unique paths URLs, JAVA, phone numbers, etc.
   
9. How to add cookies where needed
   
10. How to find opportunities for closed loop data matches in-store guaranteed pick-up, coupons, warranties
    
11. How to determine were web site visitors are coming from
    
12. How to make sure all search and online advertising is tractable via direct click and indirect cookies
    
13. How to look at incoming links and note changes from week to week
    
14. How to use "Quantcast" to see where your web visitors go when not on your site
    
15. How to determine what visitors are doing on your website:
    
    a. Click-path analysis vs. source
    b. Time-spent vs. source
    c. Actions vs. source
    
16. Who are the visitors that come to your website:
    
    a.Exit surveys
    b.Converter surveys
    c."Quantcast" demographic profiles - including business IP tracking
    d.Google demographic profiles - including language
    
17. How to determine what changes in traffic are due to
    
18. How to set up Google news alerts
    
19. What are the meaningful differences between a non-converter and a converter
    
20. How to look at aggregate data comparing converters to
    non-converters and try to find meaningful differences
    
21. How can segmentation be employed more meaningfully
    
22. How to use click-path analysis to determine if site segmentation makes sense
    
23. How to determine what visitors are doing on your website over time
    
24. How to determine where is there is noise in your data that needs to be tuned out
    
25. What are the most important data points for you to pay attention to
    
26. How to compare your strategy to the metrics monitored
    
27. What metrics move the bottom line
    
28. How to isolate and fix problems with your analytics
    
29. How to set up a dashboard to monitor vital stats (and vital stats only)
    
30. How to create a testing schedule
    
31. How to determine validity of test results and pick a winner with confidence
    
32. How to break down analytics tasks into manageable chunks over a period of weeks or months
    
    

    About Your Host Tim McAtee

    
    As a Senior Analyst for MarketingSherpa, Tim McAtee writes the Benchmark Guide series, generates and analyzes data for the guides, and contributes to the Handbook series.
    
    Tim McAtee has been working as an innovator in digital media research since 2002. Tim has pushed the boundaries of ad effectiveness research and online focus groups for GM's automotive brands at GM Plantworks in Detroit, created emerging media modeling tools for IBM, and designed advanced analytical models for a variety of major brands while working as the Research Manager for Neo@Ogilvy (the digital media arm of Ogilvy & Mather) in New York. His work has touched on nearly every type of digital messaging, from mobile video to interactive ads to search.
    
    

    About Your Expert Guest James Dutton

    
    James is the Managing Director of Insightr Consulting, digital marketing and optimization business. Previously (and at the time that MarketingSherpa created Everyday Web Analytics training), James was Director, Web Analytics at OgilvyOne, New York.
    
    As the founder of Insightr, James brings over a decade's experience in digital marketing where he has created highly successful data driven and insightful global and regional marketing and digital media programs for major brands across Asia, North America and Europe.
    
    

    Special Report: Getting Started with Web Analytics

    
    
    This special report is a companion piece to the Everyday Web Analytics training, and will help you get started with web analytics quickly and easily.
    
    

    Table of Contents	Page
    Introduction	1
    The Big Picture & What is the Function of Web Analytics	3
    How is Analytics Being Used By Others	4
    Tracking	6
    Metrics	6
    Picking an Analytics Program	9
    Creating Trackable Marketing	11
    Tricky Tracking & Flash & Rich Media	13
    Defining Conversion & Creating Goals	14
    Analysis	16
    Visitors: Who is coming to the site?	16
    Traffic: Where are they coming from?	18
    Content: What are they doing on the site?	21
    Goals: Are site visitors doing what you want them to do?	22
    Dashboards, Automation & Testing	23
    Testing & Benchmarks	23
    Test Validity	24
    Testing Calendar	25
    Conclusion	26

    
    
    

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    'Everyday Web Analytics Online Training

    Price: $147

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