A system for training a bidding model comprising: a plurality of tactics stored on at least one database; a plurality of hyperparameters; in response to an available inventory from a publisher relayed through a real time bid server, computing a bid on the available inventory; sending the bid to the real time bid server; receiving an auction result in response to the bid; calculating a plurality of rewards based on the auction result and the tactics; calculate a plurality of q values based on the rewards; calculate a plurality of losses; backpropogating the losses through the bidding model.

An online system receives a request from a content provider to run multiple campaigns. Each campaign is for a different physical location. The online system also receives from the content provider a total budget for running the multiple campaigns. The online system determines a campaign budget for each campaign, which is a portion of the total budget allocated to the campaign. For each campaign, the online system determines the campaign budget by determining a geographic region that includes the location associated with the campaign. The online system determines the campaign budget for the campaign based on the total budget and a number of users that were within the geographic region during one or more time periods. The online system executes the campaigns based on the campaign budgets determined for the campaigns.

Systems and methods for operating placebo-based experiments are described for online advertisements. One or more embodiments of the disclosed systems and methods utilizes an ad swapping approach to offer placebo media exposures, at no additional cost to an advertiser. One or more embodiments further provide a native experimentation platform that allows users to run tests of ad placements to measure the effectiveness of ads and view results displayed on a user interface. The disclosed systems and methods can assign viewers into a test group if shown the test ad or a control group if shown a control ad. The control ad can be provided at no cost to the advertiser for embodiments where the placebo ad belongs to an alternative advertiser. Effectiveness of third party attribution can also be evaluated. The disclosed systems and methods can define experiment parameters, including control frequency, test viewer groups, and control viewer groups.

A computer-implemented method and apparatus for assessing customer value of a customer based on customer interactions with advertisements are disclosed. An initial estimate of a customer value for a customer currently active on a Website related to an enterprise is determined. An estimate of an advertisement spend related to the customer and a propensity of the customer to perform an action in response to an advertisement displayed on the Website is also determined. A revised estimate of the customer value is generated by revising the initial estimate of customer value based on the estimate of advertisement spend related to the customer and the propensity of the customer to perform the action. The revised estimate of customer value is used to facilitate engagement with the customer on the Website.

Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a selection of a first objective and a second objective, the first objective and second objective comprising goals associated with distribution of a plurality of data elements; receiving an indication that the first objective has a higher priority than the second objective; receiving a first goal metric associated with the first objective and a second goal metric associated with the second objective; determining a first forecasted metric based on the first goal metric associated with the first objective; determining a second forecasted metric based on the second goal metric associated with the second objective; and allocating resources for the distribution of a plurality of data elements based on the first goal metric, the second goal metric, the first forecasted metric, the second forecasted metric, and the indication that the first objective has a higher priority than the second objective.

Systems and methods for distributing online ads with electronic content according to a campaign strategy that is adjusted based on intraday modeling. One embodiment of the invention determines a campaign strategy for a current day allocating a daily budget to automatically bid on online ad opportunities using allocated budget amounts and distributes online ads during a first portion of the current day according to the campaign strategy. Current day data regarding use of the distributed online ads during the first portion of the current day is received and compared with historical data to determine a correction factor that accounts for a magnitude of difference between the current day data and the historical data. The campaign strategy for the current day is adjusted using the correction factor and additional online ads are distributed during a second, later portion of the current day according to the adjusted campaign strategy.

A system and method that enables a business owner to receive leads such as phone calls or emails to their business at a prescribed cost-per-lead and a volume determined by the budget the owner is willing to allocate to the purchase. The method manages an internet based advertisement campaign, which includes performing the step of creating an internet based advertisement campaign that includes a budget parameter, a campaign duration parameter, advertisement content with a lead reference, and an ad listing with a URL that links to said advertisement content. Another embodiment of the method can include managing the bidding process for a multi-item keyword auction.

Adaptive control of exposure. A proportional exposure cap is a maximum fraction applicable to a recipient's total viewable attention in a time window. The total viewable attention represents all viewable advertising content which will be provided to the recipient. A notification of availability of an opportunity to expose a specified recipient to advertising content is received during the time window. The specified recipient's consumed viewable attention is detected. The specified recipient's total viewable attention for the time window is predicted. Responsive to the maximum fraction of the specified recipient's predicted total viewable attention for the time window being greater than the consumed viewable attention of the specified recipient, content is sent to the specified recipient and the consumed viewable attention is updated.

A system and method for broadcasting an advertisement of a product in a network is disclosed. The system includes a first interface unit for receiving transaction data of large number of customers from a financial service provider system, a second interface unit for receiving a viewership data from a network service provider system, a configuration database which stores a master rule, first and second sets of rules and a processing unit. The method includes (i) receiving the transaction data, (ii) processing the transaction data based on the first set of rule to obtain a potential customer base, (iii) receiving the viewership data, (iv) mapping the viewership data with the potential customer base to obtain an user database, (v) processing and aggregating the user database to obtain an optimal user database, and (vi) broadcasting the advertisement through the network service provider system in accordance to a second set of rule.

A computer-implemented method for allocation-free control of online campaigns for distributing online content includes receiving a daily content distribution spending budget and one or more response functions, calculating one or more plant gain estimates based on the one or more response functions, calculating a marginal content distribution spending budget based on the daily content distribution spending budget, generating one or more control signals based on the calculated marginal budget and the calculated one or more plant gain estimates, generating a price control signal based on the generated one or more control signals, and calculating a bid for one or more impressions based on the price control signal.