Marketing Insights for Marketers and Publishers of Consumer Applications
January, 2010
In This Edition: Marketing Insights for Marketers and Publishers of Consumer Applications
W3i News
Feature Article Written by:
Rob Weber
Vice President of Business Development
and Co-Founder
Five Application Trends Coming Out of 2010 CES
Consumer apps were everywhere at the 2010 CES show. Here are five of the application trends for online application marketers that I noted from my attendance at CES...
Full Story
Add-On-Con Recap: Browsers Aim to Lead All Application Platforms
Recap of the Add-On-Con conference breaking down the buzz surrounding browsers, add-on business models, and add-on distribution channels in three postings starting with browser buzz...
Part 1: Add-On Browser Buzz
Part 2: Add-On Business Models
Part 3: Add-On Distribution Channels
Three Application Predictions for 2010
Three application predictions for this year, showing the application landscape's constant shift and change to meet new user and market demands...
Full Story
How to Drive Application Discovery: Tips for Guerilla and Paid Marketing
Consider the following proven guerilla and paid application discovery tips when formulating your app marketing strategy...
Full Story
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Consumer Application
Thought Leaders

How the Evolution of Software Bundling has Affected Software Distribution
and How to Apply to Your Application Business

The blogosphere is covered with posts that would have us believe that desktop applications and software are already dead (cloud, mobile, SaaS); however, retail sales for desktop applications and software are a multi-billion dollar industry. In April 2009, the NPD Group reported that PC software retail sales were around $3.4B per year and holding steady. The major change, however, is the impact the web is having on how desktop applications and software are distributed.

I will first start with a brief background of OEM software bundling, then discuss a new type of software distribution that we call recommendation based distribution, and then conclude with answers to FAQ's regarding recommendation based distribution.
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