Hello Anthony, I've been following this thread with interest. I must say it's definitely a courageous move, and an interesting test-case to follow.
I couldn't help but noticing your latest traffic stats graph:
A quick glance shows what I would consider a significant drop in unique visitors, from 17556 to 11773 (skipping Sept since it was the transition month).
As you have noted, you were expecting a hit (we all do on a global URL update), and it appears you are doing better, with 12,984 uniques on Nov.

Originally Posted by
anthonyparsons
the overall hit of actual unique traffic is now marginal after two months, where it is basically 13k after only two months.
The average uniques for the full 8 months that
vBSEO was installed, from Jan to Aug (again, skipping september as it's the transition month) is 16809, from the current 13K, is 33% less traffic, which I wouldn't call marginal. But even that number could be off since we are *not using the right metric*.
Since unfortunately we are dealing with a dynamic environment affected by many variables (including seasonal traffic changes, referrals from other sources, events, etc.), the real metric we should be looking at here is the *organic referrals*, which as nforums suggests above, can be extracted from google analytics (Traffic Sources > Search Engines). THAT is the metric that
vBSEO impacts directly, and consequently the most revealing (and useful) for this test case.
I'd be interested in seeing a comparison of SE referrals for date ranges [Aug 1 - Sept 1] (last month fully
vBSEO'ed) vs. [Oct 1 - Nov 1] (first month fully non-
vBSEO'ed) or [Nov 1 - Dec 1] (second month fully non-
vBSEO'ed) - note that I've skipped Sept since it was the month you removed
vBSEO.
GA has an excellent tool to make these comparisons:
Traffic Source > Search Engines > Date Range (tick compare to past) - Highlight latest range in blue and earlier range in green.
Make sure you click "Show: Non-Paid" if you are running adsense campaigns, etc. For
vBSEO the resulting graphic looks like this:
And possibly the most revealing representation of what's going on will be given by the actual percentage differences listed in the table below the graphic: