The present disclosure relates to methods, systems, and apparatuses for providing promotion recommendations using a promotion and marketing service. Some aspects may provide a method for providing a promotion recommendation framework. The method includes receiving, via a network interface, a promotion recommendation inquiry from a component of a promotion and marketing service, the promotion recommendation inquiry including electronic identification data identifying at least one of a consumer or a consumer characteristic. The method also includes identifying, via processing circuitry, promotion transaction information associated with the electronic identification data. The promotion transaction information includes electronic data identifying at least one transaction performed using the promotion and marketing service. The method also includes determining, via the processing circuitry, at least one promotion recommendation based on the promotion transaction information, and providing, via the network interface, the at least one promotion recommendation in response to the promotion recommendation inquiry.

Techniques for providing webpages based on tracking consumer device interactions are discussed herein. Some embodiments may include one or more servers configured to: receive a request for access to a promotion webpage from a consumer device, wherein the request includes a consumer device cookie and the promotion webpage includes an indication of a promotion; in response to receiving the request for access to the promotion webpage, generate the promotion webpage including widgets; generate clickstream data based on tracking widget views of the widgets within the promotion webpage; associate the clickstream data with the consumer device cookie; and generate widget analytic data based on the clickstream data. The widget analytic data may then be used to populate webpages with widgets to optimize various criteria, such as widget views or promotion purchases.

Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising determining a classification for a first consumer, wherein the classification is based on a measure of frequency of purchases by the first consumer; identifying one or more first attributes for the first consumer based on the determined classification, the one or more attributes being attributes selected for predicting the respective one or more metric associated with the first consumer; and determining, based on values for the one or more first attributes, a first prediction value that indicates a programmatically expected number of purchases by the first consumer.

Methods, apparatus, systems, and articles of manufacture for communication with an audience metering device are disclosed. An example apparatus includes one or more non-transitory computer readable media, instructions in the apparatus, and one or more processors to execute the instructions. The example one or more processors are to segment a message to be transmitted to a configuration device into a first message segment and a second message segment, store the first message segment in a characteristic memory, and transmit a first advertisement to the configuration device when the first message segment is stored in the characteristic memory. Additionally, the example one or more processors are to after the first message segment has been gathered by the configuration device, store the second message segment in the characteristic memory and transmit a second advertisement to the configuration device when the second message segment is stored in the characteristic memory.

The present solution provides a target customer identification method and a device, an electronic device and a medium, which is applicable to the field of information processing. The method includes: obtaining personal characteristics data of potential customers; calculating a customer conversion rate of a telephone sales representative during each working time period according to the total number of customers who have made a transaction and the total number of marketing target customers of the telephone sales representative in each of working time periods; inputting the customer conversion rate of the telephone sales representative in the current working time period and the personal characteristics data of the potential customers into a pre-established random forest model to output product purchase probabilities of the potential customers; and determining a potential customer whose product purchase probability is greater than a preset threshold as a target customer of the telephone sales representative in the current working time period. In the present solution, the consideration factor of the real-time marketing capability of the telephone sales representative is added, so that the telephone sales representative can accurately find out the target customers at the current time, thereby improving customer conversion rate, marketing efficiency and target customer identification accuracy.

Systems and methods are provided in the field of online advertising and malicious software. In some embodiments, a method for determining a degree of deceptiveness for a session is provided, the session having one or more relationships between one or more properties of interactions with an online advertisement, the method comprising: extracting one or more characteristics associated with each of the one or more relationships; applying one or more models to each of the one or more relationships to determine a degree of deceptiveness for each of the one or more relationships; aggregating the degree of deceptiveness for each of the one or more relationships to generate the degree of deceptiveness for the session.

According to one embodiment, a network device includes an uplink port, a downlink port, a memory, and a processor. The processor is configured for providing a webserver; receiving a request from a mobile device of a user to establish a connection with the downlink port; establishing a first connection between the mobile device and the webserver via the downlink port; determining a media access control (MAC) address of the mobile device; receiving, from a server, user history information associated with the MAC address; and providing targeted information to the mobile device based on the user history information. The processor may be further configured for querying the server using the MAC address to obtain the user history information, collecting new user information and transmitting updated user history information to the server.

An advertisement and reward system based on an instant messenger having a first user terminal configured to transmit a message to a second user terminal side on the instant messenger. The message is transmitted under a control of a messenger advertisement providing server and includes an advertisement; the second user terminal configured to receive the message including the advertisement from the first user terminal, and perform the advertisement included in the received message; and the messenger advertisement providing server configured to control the first user terminal so as to transmit the message created in the first user terminal with the advertisement included therein, and if it is confirmed that the advertisement has been executed, provide a reward to at least one of the first user terminal and the second user terminal. The reward may include a blockchain-based cryptocurrency.

According to an embodiment of the present invention, an automated computer implemented method and system for providing targeted content in real-time comprises a web and application server that identifies one or more user interactions from a user on a website hosted by an entity; a processor that receives the one or more user interactions and converts the one or more user interactions into one or more real-time attributes; and an engine that identifies customized content for the user from a remote processor, adjusts the customized content based on the one or more real-time attributes, and generates an output comprising the customized content for display on the website for the user in real-time.

A system and method of generating directed advertisements is disclosed herein. A computing system identifies a baseline history of customer spending for one or more merchant category codes. The computing system generates a time series algorithm for each merchant category code of the one or more merchant category codes. The time series algorithm is based on the baseline history. The computing system receives a stream of transactions associated with a user. The computing system inputs the stream of user data into the time series algorithm. The computing system receives, as output, an anticipated purchase window for the user with respect to each merchant category code of the one or more merchant category codes. The anticipated purchase window includes an anticipated date of next purchase and anticipated purchase amount. The computing system directs advertisements to the user in accordance with each respective anticipated purchase window.