AllRecipes: This site is one of the larger recipe-focused sites on the web, and it also has a reputation amongst foodies for having a ton of comments about “this recipe was terrible, also I made X, Y, and Z substitutions.” You, too, can take advantage of these recipe comments to promote your own changed version of the recipe, if you have a cooking blog.

Are you currently excluding all known bots and spiders in Google Analytics? If not, you may be experiencing inflated traffic metrics and not even know it. Typically, bots enter through the home page and cascade down throughout your site navigation, mimicking real user behavior. One telltale sign of bot traffic is a highly trafficked page with a high bounce rate, low conversions and a low average time on page.
So, how can we minimize the amount of dark social traffic which is bucketed under direct? The unfortunate truth is that there is no magic bullet: proper attribution of dark social requires rigorous campaign tracking. The optimal approach will vary greatly based on your industry, audience, proposition, and so on. For many websites, however, a good first step is to provide convenient and properly configured sharing buttons for private platforms like email, WhatsApp, and Slack, thereby ensuring that users share URLs appended with UTM parameters (or vanity/shortened URLs which redirect to the same). This will go some way towards shining a light on part of your dark social traffic.
Beyond organic and direct traffic, you must understand the difference between all of your traffic sources and how traffic is classified. Most web analytics platforms, like Google Analytics, utilize an algorithm and flow chart based on the referring website or parameters set within the URL that determine the source of traffic. Here is a breakdown of all sources: