Abstract: Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor.

Abstract: Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor.

Abstract: Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor.

Abstract: Various embodiments describe systems and methods for optimizing the placement of digital offers on a digital medium.

Abstract: Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor.

Abstract: Techniques are provided for generating, by a coupon distributor, a score that represents a quality of a coupon campaign that a coupon provider offers to the coupon distributor. The score may be generated based on the brand of the product, the product category to which the product belongs, the coupon value, and the percentage discount reflected by the coupon. One or more of these factors may be based on historical data that indicates the success (or failure) of previous coupon campaigns (e.g., of the same product, brand, and/or product category, and/or similar coupon value). The coupon distributor uses the score to, e.g., determine whether to accept a proposed coupon campaign, project the number of prints/redemptions of the coupon campaign, determine how to present the coupon, determine an amount to charge for running the coupon campaign, and/or determine products or product categories of coupons to which the coupon distributor should seek.

Abstract: State-based approaches, techniques, and mechanisms are disclosed for recommending items to a user. A method comprises detecting a user state, from a plurality of different enumerated user states, based on items that the user recently selected, and/or location data. Based upon the detected user state, a particular algorithm, from a plurality of algorithms, is selected for recommending items. Information about the recommended items is presented to the user. Responsive to presenting the information about the recommended items, input is received selecting one or more of the recommended items for at least one of: adding to a shopping list, or requesting a coupon. Examples of possible detected user states include a recipe state, a grocery shopping state, and a quick shopping-run state. In an embodiment, state detection occurs at a client device, such as a smartphone featuring a shopping list management application or coupon application. A server-side recommendation engine provides recommendations.

Abstract: Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor.

Abstract: Techniques are provided for generating, by a coupon distributor, a score that represents a quality of a coupon campaign that a coupon provider offers to the coupon distributor. The score may be generated based on the brand of the product, the product category to which the product belongs, the coupon value, and the percentage discount reflected by the coupon. One or more of these factors may be based on historical data that indicates the success (or failure) of previous coupon campaigns (e.g., of the same product, brand, and/or product category, and/or similar coupon value). The coupon distributor uses the score to, e.g., determine whether to accept a proposed coupon campaign, project the number of prints/redemptions of the coupon campaign, determine how to present the coupon, determine an amount to charge for running the coupon campaign, and/or determine products or product categories of coupons to which the coupon distributor should seek.

Abstract: Techniques are provided for generating, by a coupon distributor, a score that represents a quality of a coupon campaign that a coupon provider offers to the coupon distributor. The score may be generated based on the brand of the product, the product category to which the product belongs, the coupon value, and the percentage discount reflected by the coupon. One or more of these factors may be based on historical data that indicates the success (or failure) of previous coupon campaigns (e.g., of the same product, brand, and/or product category, and/or similar coupon value). The coupon distributor uses the score to, e.g., determine whether to accept a proposed coupon campaign, project the number of prints/redemptions of the coupon campaign, determine how to present the coupon, determine an amount to charge for running the coupon campaign, and/or determine products or product categories of coupons to which the coupon distributor should seek.

Abstract: Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor.

Abstract: An embodiment is provided wherein a search query is received from a user. It may then be determined if the search query would ordinarily result in a results page having no sponsored search advertising. If the search would ordinarily result in a results page having no sponsored search advertising, then advertising that would ordinarily be displayed in response to each of two or more search terms making up the search query individually may be aggregated. Then one or more advertisements may be selected from the aggregated advertising. Then the selected advertisements may be displayed on a results page responsive to the search query.

Abstract: In an embodiment of the present invention, two or more metrics may be measured from the group consisting of: the user's age, the user's gender, the user's race, the user's geographic location, the user's annual income, the user's profession, types of areas of the search engine that the user frequents, types of searches that the user typically conducts, and the user's prior history (short and/or long-term) of clicking on advertisements. A propensity-to-click score may then be calculated for the user based on the two or more measured metrics. Then this score may be used to dynamically determine how to present advertising in response to a search by the user.

Abstract: In an embodiment of the present invention, keywords may be dynamically optimized. This may include techniques for reducing the number of keywords assigned to a particular web page (and selecting which keywords to eliminate). This may also include techniques for reordering keywords, introducing new keywords, and/or changing the attributes of keywords (e.g., size, font, color, spacing, etc.) assigned to a particular web page. Any of these techniques may be dynamically implemented by basing the optimization on one or more metrics and data collected from user interactions with the webpage.

Abstract: A solution is provided wherein an identification of a user who is producing low value to a web page or service is received, wherein the identification was determined by measuring web page usage patterns for the user. Advertising is then presented on the web page or service for the user according to a retraining program, wherein the retraining program is designed to retrain the user's behavior so that the user no longer produces low value and wherein the retraining program presents advertising in a different way than would be presented without the retraining program.

Abstract: In an embodiment of the present invention, keywords may be dynamically optimized. This may include techniques for reducing the number of keywords assigned to a particular web page (and selecting which keywords to eliminate). This may also include techniques for reordering keywords, introducing new keywords, and/or changing the attributes of keywords (e.g., size, font, color, spacing, etc.) assigned to a particular web page. Any of these techniques may be dynamically implemented by basing the optimization on one or more metrics and data collected from user interactions with the webpage.

Abstract: In an embodiment of the present invention, two or more metrics may be measured from the group consisting of: the user's age, the user's gender, the user's race, the user's geographic location, the user's annual income, the user's profession, types of areas of the search engine that the user frequents, types of searches that the user typically conducts, and the user's prior history (short and/or long-term) of clicking on advertisements. A propensity-to-click score may then be calculated for the user based on the two or more measured metrics. Then this score may be used to dynamically determine how to present advertising in response to a search by the user.

Abstract: An embodiment is provided wherein a search query is received from a user. It may then be determined if the search query would ordinarily result in a results page having no sponsored search advertising. If the search would ordinarily result in a results page having no sponsored search advertising, then advertising that would ordinarily be displayed in response to each of two or more search terms making up the search query individually may be aggregated. Then one or more advertisements may be selected from the aggregated advertising. Then the selected advertisements may be displayed on a results page responsive to the search query.

Abstract: A search category commercialization index (SCCI) may be calculated to determine the current and/or potential commercialization of a category of searches in a search engine. This may be accomplished by measuring two or more metrics from the group consisting of: number of searches within the category; number of searches within the category that result in results pages having sponsored search results; number of total advertisers in the category; average number of sponsored search listings for results pages in the category; click-through rate for advertisements in the category; share of sponsored search results that are clicked versus other items that are clicked on results pages in the category; average price per click on a sponsored search result advertisement; and lifetime value of users who perform searches within the category. The SCCI may be calculated based on the two or more metrics and then may be compared to SCCIs for other categories in the search engine.