One of the major goals for content-driven websites, and blogs especially, is to increase page views consumed per visitor. So how can we as web publishers improve on this important metric?

One of the major goals for content-driven websites, and blogs especially, is to increase page views consumed per visitor. So how can we as web publishers improve on this important metric?

The basic reasoning is that increased consumption leads to higher ad revenues (on a CPM basis), and that consumption is often a good indication that your readers are satisfied with your content and are likely to return.

For larger blog sites with a vast libraries of content, it’s tough for a user to dig through past content, and just as tough for the administrator to select links to promote across the site. That’s where a recommendation engine like Strands Recommender can help simplify the process and increase reader engagement. In the same way that Amazon recommends products, Strands can recommend interesting content based on your past browsing patterns. This method of “behavioral targeting” puts more relevant content options on every page, and therefore makes your site more appealing and unique for each individual visitor.

For more information on the Strands value proposition and implementation, take a look at their available Social Media Solutions.