developers need to take these factors into consideration when designing pages and keep these newer groups in mind when targeting their keywords and content
@MikeNoLastName
I think the most important consideration is your target market. Designing my pages for Idiots might get more overall traffic, but will be counter-productive if my target market is academic professionals.
Targeting keywords and content isn't as easy as it used to be, either.
In a recent post I mentioned page description as one mechanism by which Google might affect referrals independently of ranking.
I have just started looking in depth at page 1 results (as stated in WMT) reported as CTR 0%, and the extent to which Google is using selective page snippets rather than meta description in the SERPs – at least on my own pages - is substantial.
It seems particularly prevalent on longer phrases where key terms are separated. For e.g. Can't Unlock Widget made by Brandname, the meta description (Using the Brandname Widget: detailed instructions…) is repaced with something like ...splunger
can't be used for snaffling... ...
widget no longer available... ...UK distributor for
Brandname went into receivership in 2012...
However, there are a couple of cases where this type of hatchet-job has been done on searches for e.g. Blue Widget Disploding, replacing the meta description (Blue Widget Disploding: How to Unpopulate…) with much less relevant snippets.
While there are obviously cases in which description probably wouldn't have made any difference (where e.g. searcher is looking for wodget - a sporting term - rather than the popular bath accessory we all know about), in many cases Google has substituted page snippets where the meta description accurately summarises the searcher's intention.
I think it most unlikely that this is Motivated By Greed, or another part of the Great Conspiracy: more likely, I think, that Google not only understands what you are looking for better than you do, but can also describe it better than anyone who supplies it.
As a side-effect of looking at this, I notice that SERPs ranking for most terms I have looked at so far is higher than reported Avg. Position in WMT. While this is a known phenomenon (if there is more than one result, average must be lower than highest), it seems to apply to an extent that suggests that my site has risen recently in results across a range of search terms: WMT (historic) positions are lower than current. Presumably this is an effect of Panda 4.1.