Summary

Web Analytics Tutorial

 

Lesson 5 – Revenue Modeling

IN THIS LESSON
* Introduction
** Values
* Values and Revenue
** Event Based Revenue
** Advertising Potential and Visitor Values
* Values and Costs
** Usage Costs
** External Service Costs
* Lost Revenue
** Exit Page Analysis
** Capitalizing on Qualified Leads

Introduction

Web analytics can provide amazing insight into details of traffic patterns, leads, user software and more web-related data. Sometimes, though, you want to understand your analysis in metrics that relate to real world quantities. This is especially true when running a business through a web site. It is necessary to analyze costs and income, know which visitors are browsing and which are buying. Short of integrating your sales and web tracking data (which is hard, if not impossible, especially when sales data in not entirely web-based), you can still make good estimates of your income and costs by implementing Revenue Modeling in your reports. Summary includes a feature called ‘Value’ to make this possible.

Values

Figure 1. Monthly Metrics Report
Figure 1. The Monthly Metrics report
includes cumulative values for each month.
Summary allows you to assign a currency amount or ‘Value’ to specific events that it tracks. You can assign a value to each page hit and you can assign individual values to groups of request patterns (see the the Summary Manual for details on configuring this.) Summary then counts the total accumulated value for all hits or request groups and includes this in many of the reports. All the time metrics reports, such as the Monthly Metrics report in Figure 1, include a column of Values and a comparative bar chart. Depending on what you choose your Values to represent and how you configure your reports, this can provide immediate estimates of costs or revenues for any period, showing valuable growth trends beyond just hits and page views.



Table of Contents | 1: What is Web Analytics? | 2: Where are My Visitors Coming From? | 3: Search Engines | 4: Advertising | 5: Revenue Modeling | 6: Design Considerations | 7: Determining Visitor Behavior Patterns | 8: Examining Subsets of Traffic  | 9: Incorporating Business Goals | 10: Bandwidth Management | 11: Site and Server Diagnostics | 12: Investigating Troublemakers | Appendix A: Making Reports More Usable | Appendix B: Technical Details of Metric Accuracy

Copyright 2002 by Summary.Net - Updated 16.Apr.2002