Embodiments of system are disclosed in which selection strategies for a direct marketing campaign that identify consumers from a credit bureau or other consumer database can be planned, tested, and/or refined on a stable subset of the credit database. In some embodiments, once refined, consumer selection criteria may be used to execute the direct marketing campaign on the full consumer/credit database, which is preferably updated approximately twice weekly. In one preferred embodiment, the data for the test database represents a random sampling of approximately 10% of the full database and the sampling is regenerated approximately weekly in order to provide a stable set of data on which campaign developers may test their campaign. For each consumer in the sampling, the environment may allow a client to access and use both attributes calculated by the credit bureau and proprietary attributes and data owned by the client. The system allows for a plurality of clients to use the system substantially simultaneously while protecting the privacy and integrity of the client's proprietary data and results.

Disclosed are methods and systems for generating opt-in business leads utilizing targeted advertising campaigns. The method comprises first retrieving an ideal customer profile (ICP), and generating enriched candidates leads that match the ICP. Next, generating test campaigns, receiving feedback information on the test campaigns from candidate leads in test target groups, scoring each test campaign based on received feedback information, and generating a targeted advertising campaign comprising test campaigns with high campaign scores. Opt-in business leads are generated by selecting candidate leads that respond affirmatively to the targeted advertising campaign. The present invention utilizes a closed-loop approach to customize campaign audiences, to optimize targeted advertising campaigns and ICPs, and as a result, to produces high-quality, low-cost, opt-in leads for B2B companies.

An information delivery method is provided, including: determining a candidate information list in response to a page request sent by a user, where the candidate information list comprises a plurality pieces of information; generating ranks of the pieces of information in the candidate information list by sorting the plurality pieces of information in the candidate information list in accordance with a predetermined rule; acquiring a current average rank of the information of a designated type in the candidate information list based on the ranks of the pieces of information in the candidate information; and selecting designated delivery information from the information of the designated type, based on the current average rank of the information of the designated type and a historical average rank corresponding to the information of the designated type.

Systems, methods, and non-transitory computer-readable media can determine a plurality of candidate entities for recommendation to a user of a social networking system based on candidate criteria. A recommendation pace rating is determined for each of the plurality of candidate entities based on historical recommendation data. A first entity of the plurality of candidate entities is selected for recommendation to the user based on the recommendation pace ratings.

A computerized method and system to generate individualized shortened URLs and track user activity is disclosed. A method includes generating an individualized shortened URLs for each of a plurality of recipients, sending communications to each of the plurality of recipients, wherein each of the communications includes the individualized shortened URL, receiving a request from at least one of the plurality of recipients for the individualized shortened URL, and referring the request to a destination URL.

Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Such channels can include Web, mobile, social networking, etc., as well as traditional advertising channels such as TV, radio, etc. Techniques are provided, for example, in which advertisers, with a single click or selection, can cause implementation of a customized, optimized and comprehensive online and offline advertising campaign.

For each service scenario out of a plurality of service scenarios, matching features of a to-be-matched product corresponding to the service scenario are acquired based on user features of users accessing the service scenario. A respective user feature mapping value of the service scenario is calculated based on the matching features of the to-be-matched product corresponding to the service scenario. Out of the plurality of service scenarios, a target service scenario of the to-be-matched product is selected based on the respective user feature mapping value of the service scenario.

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving a plurality of advertisement creatives for an advertisement campaign, generating first predefined frequency weights for the plurality of advertisement creatives, and coordinating a display of the plurality of advertisement creatives within the impression slot of the webpages displayed to the online users based on the first predefined frequency weights. The first predefined frequency weights include a weighted frequency that each advertisement creative of the plurality of advertisement creatives should be displayed to the online users. A first advertisement creative of the can be displayed more frequently than a second advertisement creative because the first advertisement comprises a first frequency weight that is higher than a second frequency weight of the second advertisement creative.

A method and apparatus for monitoring digital advertising campaigns are disclosed. An example apparatus includes an application monitoring apparatus operating in relation to a web browser on a panelist device. The apparatus includes a database comprising advertisement identification rules configured to identify advertisements within webpage code. The application monitoring apparatus also includes a browser interface configured to analyze webpages accessed by a browser and apply the advertisement identification rules to determine website code that is associated with the advertisement. Conditioned upon detecting an advertisement, the browser interface is configured to copy a portion of the website code that is associated with the advertisement including a creative file source of the advertisement. The browser interface also stores the copied website code to a log file and transmits the log file to a monitoring system.

A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.