Methods for displaying a virtual gift, a server, and a target receiving terminal are provided. With the method, multimedia information to be published is obtained, if the attribute information of the multimedia information includes preset tag information, the target receiving terminal is determined. In addition, a validity period is set for the virtual gift. When sending the virtual gift to the target receiving terminal, the virtual gift of the current level can be obtained based on the current purchase quantity of the virtual gift and a predetermined correspondence between the purchase quantity and the level of the virtual gift.

Method, system, device, and non-transitory computer-readable medium for adjusting a dynamic discount. In one aspect, a computer-implemented method includes: receiving an enrollment request from a user associated with a vehicle for a vehicle insurance policy; issuing an initial discount to the user for the vehicle insurance policy at a first time; collecting trip data associated with a set of vehicular trips operated by the user with the vehicle, the trip data including telematics data and travel condition data; and dynamically updating the initial discount based at least in part upon the trip data as trip data are collected.

Systems and techniques for facilitating automatically coordinated social buying are provided. In various embodiments, a processor can receive an electronic request from a merchant device, which identifies a team deal. In various aspects, the processor can access a plurality of transactional browsing histories that are recorded by a respectively corresponding plurality of monitorial browser extensions, with each monitorial browser extension being installed on a respectively corresponding client device. In various instances, the processor can execute a machine learning model on each transactional browsing history, thereby determining whether the transactional browsing history demonstrates interest in the team deal. In various cases, for each transactional browsing history that demonstrates interest in the team deal, the processor can invite a user of a client device corresponding to the transactional browsing history to participate in the team deal.

A method of incentivizing location-based actions by groups is disclosed. A group of users of a game networking system is notified that an incentive reward is to be provided based on a number of members of the group performing a location-based action transgressing a threshold. The incentive reward is provided based on the number of members of the group performing the location-based action transgressing the threshold.

A method of incentivizing location-based actions by groups is disclosed. A group of users of a game networking system is notified that an incentive reward is to be provided based on a number of members of the group performing a location-based action transgressing a threshold. The incentive reward is provided based on the number of members of the group performing the location-based action transgressing the threshold.

Product offering systems are provided. Product offering systems may include sending an offer to a customer that possesses a mobile computing device and has agreed to receive offers for products via the mobile computing device. Agreeing to receive offers would result in the unique data about the customer being available to offer provider. Unique customer data may include data related to the customers wireless service provider or from a financial account in a financial institution, and collecting customer data about the customer, wherein the customer data comprises financial data and personal data. Product offering systems may further include registering a wireless computing device of the customer to able the device to receive the offer, and determining opportunities to send the offer to the customer by monitoring the customer and the customer data. Product offering systems may also include sending the offer to the customer's registered device based on the determination of opportunities.

Product offering systems are provided. Product offering systems may include sending an offer to a customer that possesses a mobile computing device and has agreed to receive offers for products via the mobile computing device. Agreeing to receive offers would result in the unique data about the customer being available to offer provider. Unique customer data may include data related to the customers wireless service provider or from a financial account in a financial institution, and collecting customer data about the customer, wherein the customer data comprises financial data and personal data. Product offering systems may further include registering a wireless computing device of the customer to able the device to receive the offer, and determining opportunities to send the offer to the customer by monitoring the customer and the customer data. Product offering systems may also include sending the offer to the customer's registered device based on the determination of opportunities.

Methods and systems are described for optimizing markdown schedules for clearance items at physical retail stores. For example, price sensitivity of a current inventory item at a physical retail store may be modeled using techniques that account for differences in operating behavior and data availability at physical stores versus online channels for selling items. When the current item is placed on clearance at the physical retail store, a request for a markdown schedule, including goals for the clearance, may be received. The forecasted price sensitivity of the current item may be adjusted based on actual price sensitivity of one or more past clearance items (e.g., based on actual clearance sales data) determined to match the current item. An optimal markdown schedule for the item may then be determined based, at least in part, on the adjusted price sensitivity of the item and clearance goals.

Methods and systems are described for optimizing markdown schedules for clearance items at physical retail stores. For example, price sensitivity of a current inventory item at a physical retail store may be modeled using techniques that account for differences in operating behavior and data availability at physical stores versus online channels for selling items. When the current item is placed on clearance at the physical retail store, a request for a markdown schedule, including goals for the clearance, may be received. The forecasted price sensitivity of the current item may be adjusted based on actual price sensitivity of one or more past clearance items (e.g., based on actual clearance sales data) determined to match the current item. An optimal markdown schedule for the item may then be determined based, at least in part, on the adjusted price sensitivity of the item and clearance goals.

Probing data comprising terminal identifier data is received by a broadcast device, the terminal identifier data identifying terminals that are located within a predetermined distance of the broadcast device. The probing data is uploaded by the broadcast device to a server. An information pushing condition is matched by the server based on the terminal identifier data. Information corresponding to an information pushing condition matching the terminal identifier data is pushed by the server to the broadcast device. The received corresponding information is broadcast by the broadcast device.