Example methods, apparatus and articles of manufacture are disclosed herein to generate information about portable device advertising. An example apparatus includes memory and at least one processor to execute machine readable instructions to, in response to one or more commands from a simulation processor external to the at least one processor, access data via the Internet based on a usage profile, the usage profile representative of portable device usage by persons having similar usage characteristics, sample portions of the data to distinguish an advertisement from non-advertising content, determine an attribute of the advertisement; and transmit the attribute to the simulation processor.

Certain aspects involve systems and methods for providing display content using RFID tags in geo-fenced zones. One example method includes processing devices that perform operations that include scanning radio-frequency identification (RFID) tags in a geo-fenced zone. The RFID tags correspond to a plurality of items. Further, the operations include retrieving a marketing campaign associated with the plurality of items. The marketing campaign comprises rules based on inventory information. In addition, the operations include determining the inventory information for the plurality of items based on the RFID tags. The operations further include selecting an item from among the plurality of items based on a rule associated with the marketing campaign. The rule is based on the inventory information. Additionally, the operations include generating display content based on the item.

Systems and methods for predicting consumer spending and the financial outcomes of using specific credit cards and other financial products are disclosed. Systems and methods for recommending credit cards to consumers and for backtesting consumer behavior data are further disclosed. The system and methods may be used to help consumers find and chose credit cards, debit cards, and other financial products which are suitable to their financial circumstances. A financial outcome prediction system configured to determine financial outcome parameters of a user using a credit card during a future time period is disclosed. The financial outcome parameters may include an overall card value obtained by adding and subtracting the monetary values of reward parameters, fee parameters and other benefits associated with the credit-card.

A system for evaluating health risk is provided. The system may be configured for requesting first data from a merchant associated with a user and second data from an activity tracking service associated with the user. The system may also comprise analyzing the item to determine a first health impact for the item based on the item and demographic information associated with the user. The system may further comprise analyzing the level of activity to determine a second health impact from the level of activity based on the level of activity and the demographic information associated with the user. The system may further comprise selecting an advertisement based on medical data, and at least one of the first health impact, the second health impact and the demographic information associated with the user.

There is provided an apparatus and method for a webshop such that the products shown to a customer are related to the purchasing habits of the customer. A control unit is arranged to communicate with a product information database, a product category database and a customer purchase history database. The control unit includes a product categorising unit arranged to generate at least one product category based on product information in the product information database and to store the at least one generated product category in the product category database. A calculating unit is arranged to calculate a probability of a customer being an underbuyer/overbuyer of a type of product based on the customer's purchase history stored in the customer purchase history database and the at least one product category from the product category database.

A system and method for scalable, adaptive, real-time generation of personalized offers is disclosed. A profile of a user is generated, the profile being a summarized representation of historical behavior of the user, the profile containing recursively updated variables. The profile is updated for each new transaction and/or a time dependent event, the new transaction and/or time dependent event including purchase transaction data, user, item hierarchy, and offer data. A affinity scores is generated for the user based on the updated profile, and for each new transaction, one or more offers are generated for the user based on the updated user profile and the affinity scores.

A cryptographic anonymization method, apparatus, and system are disclosed. An example apparatus includes a server configured to receive encrypted usage information and an identifier from an application operating on a user terminal and trans-cypher the encrypted usage information from a first encryption scheme to a second encryption scheme to create second encrypted usage information without decrypting the encrypted usage information. The server is also configured to convert and encrypt the identifier to an encrypted unique identifier. The server is further configured to compare the second encrypted usage information to a taxonomy of data labels using rules. For each match of at least some of the second encrypted usage information to a data label, the server is configured to add the encrypted unique identifier to the matching data label. The server uses the data labels and/or the encrypted unique identifier for serving advertisements to the user.

Embodiments of the disclosure are directed to methods and systems for selecting targets for an advertisement campaign. A method may comprise adjusting one or more slider axes that control selection methods, wherein the selection methods may comprise using target demographic data, target behavioral data, filtering criteria, and/or ranking criteria. Then, an analysis application may complete analysis using the input adjustments to determine a selection of potential targets. The analysis application may be operable to complete multiple methods of analysis (or selection), wherein the user may have input and/or control over the use of the methods.

A method including: detecting a request for a first part of a video; detecting a request for a second part of the video, wherein the video has a video timeline and the second part of the video immediately follows the first part of the video in the video timeline; after detecting the request for the first part of the video and prior to detecting the request for the second part of the video, transmitting a request for a third part of the video, wherein the third part of the video follows the second part of the video in the video timeline; receiving the requested third part of the video; and storing the received third part of the video.

Methods, apparatus, systems and articles of manufacture to expand panelist enrollment are disclosed. An example first media device includes processor circuitry to at least one of instantiate or execute the machine readable instructions to scan at least one local area network to which the first media device is connected, store an identification of a second media device connected to the at least one local area network, in response to scan of the at least one local area network indicating that the second media device is commonly connected to the at least one local area network with the first media device, add the identification of the second media device to a fingerprint, and transmit the fingerprint to a central facility.