Abstract: Systems, methods and articles that detect or otherwise analyze dark social traffic, which traffic was previously designated as “direct traffic” by Web analytics tools. The dark social traffic may be attributed to social channels which allows social marketers to analyze and prove the value of social marketing to their business. Such detection of dark social traffic may include analyzing a Web address included in a Web page request to determine whether the Web address (e.g., URL) includes at least one tracking parameter, which provides an indication that the Web page request emanated from a social share rather than direct traffic. Metadata present in a Web page request may be analyzed to determine the referrer source even when the source does not pass a referrer URL.

Abstract: Among other things, one or more techniques and/or systems for forecasting traffic and concurrently presenting images of forecasted traffic are disclosed to facilitate more efficient departure and/or navigation by providing an outlook of anticipated traffic flow for an area and/or a route (e.g., associated with an origin and destination), for example. A predicted traffic pattern and/or associated navigation may be provided and/or generated based upon traffic data (e.g., historical traffic data, current traffic data, and/or predicted traffic data). Additionally, a suggested departure time may be provided to mitigate travel time to and/or from a destination, for example. Accepted suggestions may be associated with predicted traffic data to update predicted traffic patterns (e.g., predicted traffic data) thereafter. Accordingly, travelers may be provided with traffic forecasting to enable more desirable travel experiences (e.g., shorter travel times).