Web analytics course
Time: 12 hours (6 days, 2 hour each day)
Timing: In the evening and weekends
Fee: INR 3,500
Interested people please contact edu@jeetbo.com
Day 1 of Web analytics course :
- Introduction
- Key concepts including analytics, key terms and how they are used
- Key Performance Indicators (KPIs), why they are important
- Measuring Actions: The Conversion Chain
- Understanding the difference between data collection methods
- Key tools and diagnostics based on different web site objectives
- The fundamentals of Search Engine Optimization measurement
- The fundamentals of visitor behavior analysis
- Measuring and optimizing Paid Search Campaigns
- How to develop KPIs that are aligned with your mission and business objectives
- The analyst skill set: who and what you’ll need.
- Installations
- Some tools
Day 2 of Web analytics course :
- How it works?
- Technical overview
- Some hard questions asked and answer to clear the technical understanding of different tpe of problems.
Day 3 of Web analytics course :
- How to analyse the data
- Understand the behavioral data often examined in the analytical tool reports
- Introduction to personas
- Understand the concepts of Character Diamonds and Masks, and how these concepts are used to improve on basic persona design
- Fundamental visitor activity analysis including visitor, departure and path analysis
- Determine the strategies to improving shopping cart abandonment rates
- Understand how web visitors (including search engine crawlers) interact with a website to accomplish their goals including onsite search, search analytics metrics and creating onsite search forms
- Identify components of a website which can be measured and improved
- Understand the behavior of visitors from search
- Understand how to use web analytics for optimizing search engine rankings and conversion
- Explore design for evaluation, compensating for limitations in tracking methods and analytic tools
- Understand technical issues that may affect analysis
- Understand the concept and metrics of Recency and apply these concepts to the Visitor Value Model
- How to make sense outof Data (Decision making and suggestions)
- Different level of data mining
- How to handle really large data
Day 4 of Web analytics course :
- One small of exam:
- Tracking for ads and campaigns
- Filters and advance level of tracking
- Detailed tracking
- Understand how to use web analytics to optimize paid search campaigns and affiliate programs
- Learn how to achieve greater return on investment for online marketing initiatives and evaluate the impact of campaign results
- Learn how to optimizing display ad campaigns
- Learn how to measure offline drive to websites.
- Identify the critical metrics assess and improve campaigns including methodologies for tracking the impact of online channels such as e-mail, paid search (pay-per-click), organic search (higher page ranking in search engines), and display / banner ads
- Explore brand tracking methods
- Understand what can be tracked and measured for online campaigns.
- Analyze display advertising, rich media, brand and buzz
- Examine email campaign effectiveness from delivery to website conversion
- Explore Campaign process analysis – define business objectives, define conversion events, define key performance metrics, collect data and assess, make changes and do over.
Day 5 of Web analytics course :
- Limitations at different level
- Practicals
Day 6 of Web analytics course :
- Q & A session
- Exams and certification process.
Related posts:
- Be a part of Jeetbo’s new Web Analytics eBook We are compiling a new ebook for Web Analytics Common...
- Pre-Sales Client Discovery Questionnaire for SEO and Web Marketing Pre-Sales Client Discovery Questionnaire (Before we are selected as a...
- Web marketing & SEO is an amazing career option First, let me describe what web marketing means. Web marketing...
- Web marketing & SEO is an amazing career option First, let me describe what web marketing means. Web marketing...
Related posts brought to you by Yet Another Related Posts Plugin.
