Although contextual advertising in general refers to the inclusion of advertisements adjacent to relevant online context (e.g., Google AdSense), in-text advertising places hyperlinks directly into the text of the webpage. In-text advertising is commonly available from In-Text Ad Networks like Kontera using technology such as IntelliTXT, or offered by publishers using Ad Serving technology from PowerLinks Media.
Accurate network traffic classification is elementary to quite a few Internet activities, from security monitoring to accounting and from quality of service to providing operators with useful forecasts for long-term provisioning. Yet, classification schemes are extremely complex to operate accurately due to the shortage of available knowledge to the network. For example, the packet header related information is always insufficient to allow for an precise methodology. Consequently, the accuracy of any traditional method are between 50%-70%.

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:
Hey Ashok! Good question. I work with clients in a lot of different industries, so the tactics I employ are often quite different depending on the client. In general though, creating killer resources around popular topics, or tools related to client services. This provides a ton of outreach opportunity. For example: We had a client build a tool that allowed webmasters to quickly run SSL scans on their sites and identofy non-secure resources. We reached out to people writing about SSLs, Https migration etc and pitched it as a value-add. We built ~50 links to that tool in 45 days. Not a massive total, but they were pretty much all DR 40+.
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