Abstract: Systems and methods to activate one or more indicators, positioned on heavy hydraulic-based equipment to provide indication that the heavy hydraulic-based equipment is in an operation are described herein. The system may include a hydraulic initiation lever positioned proximate an operator's seat of the equipment and configured to be actuatable to an inactive position and an active position, the hydraulic initiation lever when in the active position configured to generate an unlock signal to thereby enable hydraulic operation of the heavy hydraulic-based equipment. The system may include one or more indicators configured to receive the unlock signal, the one or more indicators configured to activate in response to reception of the unlock signal and to deactivate in response to no reception of the unlock signal.

Abstract: Selection of a trait may be received. A complex segment rule may be created that is usable to evaluate one or more qualification events. For example, the segment rule may be usable to evaluate a combined recency and frequency of the one or more qualification events. The qualification events may be based on collected network data associated with the plurality of visitors with each qualification event corresponding to a separate qualification of visitor according to the trait. The qualification events may be evaluated together according to the segment rule. For example, the combined recency and frequency of the one or more qualification events may be evaluated according to the segment rule. Evaluating the segment rule may include estimating a segment population size in real-time.

Abstract: Tunable algorithmic segment techniques are described. In one or more implementations, a target audience definition is obtained that is input to initiate creation of a look-alike model. The target audience definition indicates traits associated with a baseline group of consumers who have interacted with online resources in a designated manner, such as by buying a product, visiting a website, using a service, and so forth. Tuning parameters designated for the look-alike model are ascertained and the look-alike model is built based on the target audience definition and the tuning parameters. The tuning parameters may include at least a setting selectable to control reach versus accuracy for the look-alike model. Segment data indicative of market segments generated according to the look-alike model may then be exposed for manipulation by a client. The manipulation may include selectable control over the tuning parameters to generate different look-alike groups from the segment data.

Abstract: A marketing segment rule for access by both a real-time component and a back end component may be stored. The real-time component may be configured to qualify a visitor to network content in a marketing segment during the visitor's visit to the network content. The back end component may be configured to qualify the visitor in the marketing segment after the visitor's visit to the network content. Qualification of a first visitor in a marketing segment may be determined. Such a determination may include evaluating network content data for the first visitor according to the marketing segment rule. An indication of the first visitor's segment qualification may be stored. An online advertisement may be presented to the first visitor based on the first visitor's segment qualification.

Abstract: Selection of a trait may be received. A complex segment rule may be created that is usable to evaluate one or more qualification events. For example, the segment rule may be usable to evaluate a combined recency and frequency of the one or more qualification events. The qualification events may be based on collected network data associated with the plurality of visitors with each qualification event corresponding to a separate qualification of visitor according to the trait. The qualification events may be evaluated together according to the segment rule. For example, the combined recency and frequency of the one or more qualification events may be evaluated according to the segment rule. Evaluating the segment rule may include estimating a segment population size in real-time.