Pending the investigation of the applicability of Bathsheba's excellent suggested model, I took a sample of 25 users of Stack Overflow and for each of them I looked at their reputation score and the number of "people reached". The sample comprised the authors of the five answers posted here prior to this one, along with the lowest-score users on each of pages 1-5, 51-55, 101-105 and 201-205 of the listing of SO users by rep.

A linear regression with the intercept set at 0 rep = 0 views gives a goodness of fit R<sup>2</sup> = 0.833 and a figure of 77 views per rep point. So if 1000 views are worth $1 to an advertiser, that's $77x per 1000 rep where x is the average number of pages a visitor views here.

R<sup>2</sup> jumps to 0.89 if two very high views-to-rep users are removed.

[![enter image description here][1]][1]


  [1]: https://i.sstatic.net/jNAK2.jpg