The poll is closed, with votes as follows:
   R^2 or MSE                21% 
   Lift or Gains             46% 
   True Alert 
   vs. False Alert Tradeoff  12% 
   PCC                       12% 
   Other                      8% 
Broken down in another way:
Global error (R^2 or PCC): 33%
Ranked error (Lift, ROC):  58%
where ranked error means that one first sorts the scored records and then scores the model. The relative proportions of these two roughly correspond to what I see and use in consulting: probably about 75% of the time I used something like ROC or Lift to score models. 
Thanks to those who voted.
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