Prioritizing clicks refers to display click ads, although advantageous by being ‘simple, fast and inexpensive’ rates for display ads in 2016 is only 0.10 percent in the United States. This means one in a thousand click ads are relevant therefore having little effect. This displays that marketing companies should not just use click ads to evaluate the effectiveness of display advertisements (Whiteside, 2016).
I think Google will always be working to discern and deliver “quality, trustworthy” content and I think analyzing inbound links as endorsements is a solid tool the SE won’t be sunsetting anytime soon. Why would they? If the president of the United States links to your page that is undoubtedly an endorsement that tells Google you’re a legitimate trusted source. I know that is an extreme example, but I think it illustrates the principals of a linking-as-endorsement model well.
For example, suppose you're a law firm targeting the phrase "divorce attorney" with a broad match ad. Your ad should appear on the results page for the search query "divorce attorney," but it could also show up for the phrases "reasons for divorce," "dui attorney" or "dealing with divorce for children." In these cases, you may be wasting money on irrelevant searches.
The Nielsen Global Connected Commerce Survey conducted interviews in 26 countries to observe how consumers are using the Internet to make shopping decisions in stores and online. Online shoppers are increasingly looking to purchase internationally, with over 50% in the study who purchased online in the last six months stating they bought from an overseas retailer.
Say you're running a PPC ad for the keyword "Nikon D90 digital camera" -- a product you sell on your website. You set up the ad to run whenever this keyword is searched for on your chosen engine, and you use a URL that redirects readers who click on your ad to your site's home page. Now, this user must painstakingly click through your website's navigation to find this exact camera model -- if he or she even bothers to stick around.
Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag or index files in engines like ALIWEB. Meta tags provide a guide to each page's content. Using metadata to index pages was found to be less than reliable, however, because the webmaster's choice of keywords in the meta tag could potentially be an inaccurate representation of the site's actual content. Inaccurate, incomplete, and inconsistent data in meta tags could and did cause pages to rank for irrelevant searches.[dubious – discuss] Web content providers also manipulated some attributes within the HTML source of a page in an attempt to rank well in search engines. By 1997, search engine designers recognized that webmasters were making efforts to rank well in their search engine, and that some webmasters were even manipulating their rankings in search results by stuffing pages with excessive or irrelevant keywords. Early search engines, such as Altavista and Infoseek, adjusted their algorithms to prevent webmasters from manipulating rankings.