An upsell purchase flow in an e-commerce system is provided. After a customer has purchased a product from a vendor, an upsell opportunity is provided to the customer through an upsell pitch page. The upsell pitch page advertises an additional upsell product in order to maximize the purchase transaction with the customer. Responsive to the customer accepting the upsell opportunity, rather than adding the upsell product to an electronic shopping cart, a marketplace server that facilitates transactions between the customer and the vendor charges the customer for the upsell product at that time. Multiple upsell opportunities may be provided to the customer after the initial sale is completed.

Example methods, apparatuses, and systems are presented that allows a user to make a secure purchase online, directly through accessing an online advertisement and without being redirected to multiple, cumbersome webpages to process different pieces of information to complete the transaction, while still leveraging existing e-commerce entities, such as existing payment platforms and existing ad/content networks. The present system includes a commerce ads engine (CA engine) that interfaces with the user through an app associated with the CA engine, a tokenization platform for authentication of the user, and a merchant providing relevant offer and check out information about a product being advertised in an online ad. The present system integrates new information embedded into online advertisements that interfaces with the CA engine and allows for the user to reliably provide authentication while purchasing the desired product, and without accessing or being redirected to multiple websites as is conventionally done.

Methods and systems for matching a consumer to benefits offered by enabling organizations provide flexibility and utility to consumers in the marketplace for various products. Information about benefits and enabling organizations are provided and stored in a memory of a computer system. A search query including consumer interest data of a consumer, or results of such a search query, are received. The enabling organization information, benefit information, and search query or information related to the search query results are analyzed automatically in the computer system to provide analysis results, to determine whether any enabling organization to which the consumer is affiliated is offering a benefit for the consumer that is applicable to the said consumer interest data. A message is sent to the consumer including a list of venues ordered according to a search score.

The computer implemented method comprises, in response to a user input in relation to a media item, using the media item to obtain information identifying the fulfilment entity (211). The method comprises interacting with the fulfilment entity using the obtained information identifying the fulfilment entity to fulfil the action (219). The media item is from a content distributor entity. The content distributor entity is different to the fulfilment entity.

Embodiments of the present invention relate to systems and methods that allow users to use their communication devices to perform transactions (e.g., payment transactions, access transactions, etc.). To complete a transaction, a resource provider electronically generates a code representing transaction data and displays it on an access device. The user scans the code with his or her communication device using a camera associated with the communication device, for example. The code is interpreted by an application on the communication device. The user may request and receive a token at the communication device corresponding to sensitive information selected to perform the transaction (e.g., a primary account number). The user may then provide the token and the transaction data via the communication device to a server computer, which may facilitate completion of the transaction between the user and the resource provider using the transaction data and the token.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for broadcasting audio. In one aspect, the method includes receiving, from a server by a smart broadcasting device associated with a service client, an audio broadcast instruction; in response to receiving the audio broadcast instruction, downloading an audio file corresponding to the audio broadcast instruction, wherein the audio file comprises a marketing content related to services provided by the server to the service client associated with the smart broadcasting device; and broadcasting, by the smart broadcasting device, the audio file by using a speaker of the smart broadcasting device.

A method and apparatus for selecting treatment for visitors to online enterprise channels are disclosed. The method includes receiving information related to a visitor and a current activity of the visitor on an online enterprise channel. The information is transformed to generate transformed data and a plurality of features is extracted from the transformed data. Using the plurality of features, it is determined whether a treatment when rendered to the visitor is capable of increasing a likelihood of the visitor performing a desired action during a current visit to the online enterprise channel. The treatment is selected and rendered if it is determined that the treatment is capable of increasing the likelihood of the visitor performing the desired action. No treatment is rendered if it is determined that no treatment from among the plurality of treatments is capable of increasing the likelihood of the visitor performing the desired action.

A method for generating advertising content includes: during a content creation period, receiving a video advertisement from an entity; packaging the video advertisement with a pointer to the entity and a checkout portal for content linked to the video advertisement to generate an augmented video advertisement; during a live period succeeding the content creation period, for a first instance of the augmented video advertisement accessed at a first computing device associated with a first user, associating a first purchase completed within the checkout portal of the first instance of the augmented video advertisement with the entity based on the pointer; and, for a second instance of the augmented video advertisement accessed at a second computing device associated with a second user, associating a second purchase completed within the checkout portal of the second instance of the augmented video advertisement with the entity based on the pointer.

In response to detecting that a first selectable element on a webpage or application page of a merchant has been accessed by a user, a computer system stores a visual representation of an item that corresponds to the first selectable element in a first space of the user. In response to detecting a selection of a second selectable element from within the first space, the computer system determines a threshold number of users to associate with the visual representation and creates a post in a network feed that includes the visual representation, wherein a third selectable element is associated with the post, that when selected, causes a user to join or vote for the first visual representation. In response to determining that a number of users that have selected the third selectable element meets the threshold number of users, the computer system initiates a group purchase for the item.

An approach is disclosed for recommending complementary items based on customer shopping routines. The approach receives anchor item data. The approach identifies a routine that corresponds to the anchor item data. The routine is based on an item purchasing behavior of a customer. The approach determines categorical data within the identified routine by applying a ranking algorithm to the categorical data of the categories and the anchor item data. The categorical data is relevant to the anchor item data. The approach generates relevant item data from the categorical data by applying an item recommendation model to item data that corresponds to the categorical data.