1. There is no quantifiable data to backup the assertions. Does anyone have A/B test data to back any of the author's assumptions?
2. There is no discussion on how to structure pricing that scales on a specific metric e.g. users, storage space, number of uses etc.
The common approach is to lump all the plans into 3-4 buckets with the last bucket being an "unlimited" plan. Suffice to say, this approach may not be ideal in cases where users have widely differing requirements.
For example, imagine pricing a product based on impressions/page views. Buckets simply don't make sense.
I'm currently experimenting with a pricing table that allows buyers to CUSTOMIZE their plan from a traditional 3-4 plan table.
See http://www.trafficspaces.com/plans/ for how I've done it. What do you think?