摘要:
Techniques are provided for use in online advertising, such as sponsored search advertising. Information may be obtained that includes historical online advertising information including information relating to conversion rates associated with bid amounts or bid amount ranges, as well as a proposed advertiser bid amount or bid amount range. Based at least in part on obtained information, a forecasted or predicted conversion rate or conversion rate range associated with the proposed bid amount or bid amount range is determined, and associated reporting is provided to the advertiser, which may include click equivalent information associated with a bidding-related standard or benchmark.
摘要:
Methods and systems are provided for association of various online elements with emotional states. A set of emotional states may be generated or obtained, and particular online elements may be assigned to particular emotional states of the set, such as with emotional states that are reflected or represented by or in the online elements. Online elements can be of various types, such as, for example, Web sites, blogs, articles, online events, online activities, online messaging, etc. User association or interaction with online emotional state-associated online elements can be used in classifying users into particular emotional states.
摘要:
Techniques are provided relating to advertising campaign optimization. Information is obtained relating to online and offline behavior of a set of individuals in association with a brand associated an advertising campaign. Based at least in part on the information, one or more metrics are determined reflecting an association between online advertising and offline behavior relating to the brand, or vice versa. Optimization is performed for at least one parameter of an online advertising campaign or an offline advertising campaign based at least in part on at least one of the one or more metrics. The campaign could also be a combined offline/online campaign.
摘要:
Techniques are provided relating to optimization of an online advertising campaign. Information is obtained relating to online advertising, associated with a brand associated with an online advertising campaign, directed to each of a set of individuals. Information is also obtained relating to offline behavior of the individuals in association with the brand. One or more metrics are determined that are associated with a relationship between the online advertising and the offline behavior. Optimization of at least one parameter of the online advertising campaign is performed based at least in part on at least one of the one or more metrics.
摘要:
The present invention provides methods and systems for use in online advertising campaign management, including bid management in an online advertising auction. Techniques are provided in which a benchmark set of previously served advertisements is identified, and associated performance information is obtained. During an online auction, when an advertisement impression opportunity becomes available, information obtained using a machine learning technique may be utilized in forecasting an advertiser value-based metric associated with the opportunity, using the benchmark set of advertisements and the associated performance. The forecasted advertiser value-based metric can be used in determining bidding and pricing associated with the opportunity.
摘要:
Methods and systems are provided for association of various online elements with emotional states. A set of emotional states may be generated or obtained, and particular online elements may be assigned to particular emotional states of the set, such as with emotional states that are reflected or represented by or in the online elements. Online elements can be of various types, such as, for example, Web sites, blogs, articles, online events, online activities, online messaging, etc. User association or interaction with online emotional state-associated online elements can be used in classifying users into particular emotional states.
摘要:
Methods and systems are provided for emotional mapping, such as of online users, based at least in part on online activities of users. Techniques are provided in which information including a set of emotional states is generated or obtained, such as a hierarchical network of emotional states representing a spectrum of human emotions. Information regarding user online activities and content choices of a user is obtained. Based at least in part on this information, the user is classified into an emotional state of the set of emotional states, and advertisements or content may be targeted to the user accordingly.
摘要:
Techniques are provided for targeting of online advertisements. Methods are provided in which information including a top set of customers of an advertiser is obtained. Information is obtained relating to online and offline behavior of the top customers in association with one or more brands of the advertiser. For a particular top customer, based at least in part on behavior information relating to the particular top customer in association with the one or more brands, the particular top customer is targeted with an online advertisement.
摘要:
Some embodiments of the invention provide techniques for placing “placeholder” bids in an auction associated with online advertising marketplace. Placeholder bids can include bids that are not actually entered or placed in the auction or marketplace. Rather, placeholder bids can include hypothetical bids. Impacts of placeholder bids, should the placeholder bids have been entered or placed as actual bids, can be assessed. An assessment can include assessing an impact on auction and marketplace parameters, an impact on bid or campaign performance, and an impact on downstream parameters such as user behavior, such as associated conversions or purchasing.
摘要:
Disclosed are apparatus and methods for apparatus and methods for pricing on-line advertisement inventory. In one embodiment, a method for pricing on-line advertisement inventory includes (i) receiving a request for a price of a new product, wherein the new product includes a plurality of specified characteristics of a type of on-line advertisement display, (ii) providing a sample of new impressions that are predicted to be delivered for such new product, (iii) for each new impression, determining which bookings could be served by such new impression so as to define a set of overlapping bookings, (iv) determining the price of each new impression based on a weighted average of a plurality of prices of such each new impression's corresponding overlapping bookings, (v) determining the price of the new product based on an average of the prices of the new impressions, and (vi) returning the price of the new product for use in a booking negotiation with a potential buyer of such new product.