An auto-login system and process enable maintaining user accounts on a server without a user having to register or create a user name, password, or other authentication method. An account may be created without user knowledge. The server may transmit a content item to a target user, along with a link A server identifies the target user from use of the auto-login link and collects interaction or engagement data while the user is logged in, to assess user interest in products, for example, a mutual fund investment product, which may be characterized by tags and/or categories. The system may quantify a product salience metric for a given product relative to a target user's interest profile to focus marketing efforts and support engagement with interested target users, especially securities funds and financial advisors.

A method of identifying targeted content includes deploying a plurality of internet bots configured to interact with content sources using predetermined patterns and profiles, wherein each individual internet bot of the plurality of internet bots includes at least one characteristic that is unique relative to the rest of the plurality of internet bots, collecting cause and effect data related to cause and effect of user interactions with content sources, receiving the cause and effect data collected by the plurality of internet bots, correlating user interactions with content sources using the cause and effect data collected by the plurality of internet bots, and identifying, how content is targeted to users by content sources from the correlating.

A computing device is configured to generate a content reference for content displayed on a webpage. An encrypted reference is generated for the content reference. The content is provided, with the content reference, to a client device. A website is provided for the client device upon selection of the content by a user input on the webpage. The website includes an offering and related offerings associated with the content. In accordance with a web action received from the website, a logical table is updated with an entry associated with the encrypted reference. The update may be associated with a credit or a charge based at least in part on the web action for the offering or the related offerings.

Method and system that includes: receiving, from a first automated service, identifying information for a website visitor; requesting, from a second automated service, further identifying information based on the received identifying information; when further identifying information is received from the second automated service, providing a query to a customer data storage system for an account that matches the further identifying information; and when a positive response to the query indicating a match is received from the customer data storage system, causing a notification to be generated that includes information included in the positive response.

This document describes the collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications. Specifically, the disclosed devices and systems may be employed to produce one or more marketing and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating user engagement, thereby accurately determining the cost benefits of the campaign. The analytic results provided may then be used to guide the generation of original web content, such as for the purposes of enhancing customer or follower experience, driving business, and for driving advertising campaigns. Alternatively, web content that is in the public domain, and determined to perform well, can be reproduced, referenced, or otherwise referred to, in the context of promoting or presenting the user's web content.

An apparatus for providing customized advertisements includes a database that stores a plurality of electronic advertisements, receives biometric information of a client from at least one biometric device of the client, and receives receptivity information of the client responding to the plurality of electronic advertisements, as well as a processor that accesses the database, and maps the biometric information and the receptivity information and analyzes the mapped information to generate customized marketing data. The processor also calculates a receptivity probability for each of the plurality of electronic advertisements based on the customized marketing data by using current biometric state of the client, selects an electronic advertisement from the plurality of electronic advertisements based on the calculated receptivity probabilities, and outputs to the client the selected electronic advertisement.

In response to detecting a purchase of a first product by a user, a computer system determines a category of the first product. In response to determining the category of the first product, the computer system determines a blackout time period for the user based on a maximum revenue impact amount corresponding to the blackout time period, a probability that the first product will be repurchased, and a probability that the first product is purchased after an impression is viewed, and wherein the blackout time period corresponds to a time period where one or more impressions of at least the first product purchased by the user are not transmitted for display to the user. In response to determining the blackout time period for the user, the computer system causes the blackout time period to be applied to the user.

Social interaction-based policies are provided to a digital content owner and are applied to uploaded content matching digital content owned by the digital content owner. Social interaction-based policies enable the content owner to obtain various benefits to the content owned by the content owner within a video hosting site and outside the video hosting site. The benefits include using content owner's successful digital content to drive traffic or subscriptions to content owner's social interaction platforms and increase engagement with viewers of the digital content within and outside the video hosting site. The social interaction-based policies also enable content uploaders of digital content matching content owned by others to participate in sharing revenue generated from their uploaded videos subject to social interaction-based policies applied to the uploaded videos.

Technologies for providing targeted offers including an offer platform server, multiple buyer devices and multiple seller devices. Each buyer device and seller device installs a web browser extension that communicates with the offer platform server. Seller devices create offers with the offer platform server. Each offer is associated with an offered product listed on a marketplace server and an offer value, and may include dynamic offer parameters. Buyer devices monitor user interactions with the marketplace server and communicate interaction data with the offer platform server. The offer platform server identifies matching offers and sends those offers to the buyer devices. The browser extension of the buyer device presents those offers to the user, for example by highlighting products or displaying products that are not in the search results. The offer platform server may apply offers selected by the user. Other embodiments are described and claimed.

A method, apparatus and computer program product are provided herein for ascertaining a demand of promotions. An example method comprises receiving, from one or more consumers, at least one consumer request for at least one of one or more requested promotions or one or more requested providers, generating an aggregated list of the at least one of the one or more requested promotions or the one or more requested providers, ranking the aggregated list of the at least one consumer request, and causing one or more ranked lists to be distributed to at least one sales resource.