Patent Publication Number: US-2022215439-A1

Title: System for tokenized utilization of investment information

Description:
PRIORITY 
     This application is a continuation of U.S. patent application Ser. No. 16/870,689 filed on May 8, 2020 which claims priority to U.S. Provisional Patent Application Nos. 62/845,057 and 62/908,252 filed May 8, 2019 and Sep. 30, 2019, respectively, each of which is hereby incorporated by reference in their entirety. 
    
    
     BACKGROUND 
     I. Field of the Disclosure 
     The illustrative embodiments relate to personal data management. More specifically, but not exclusively, the illustrative embodiments relate to a network, system, method, apparatus, and platform for targeted advertising based on a profile and user preferences. 
     II. Description of the Art 
     Current forms of advertisements rely heavily on traditional blind advertising, such as radio and television. Even online targeting methods depend on semi-blind behavioral or demographic targeting based on cookies, website tracking, data points, and metrics. Statistics indicate that only 8% of Internet users account for 85% of the clicks on display advertisements and 56% of digital advertisements are never seen by a live human being. Internet advertisements may miss the mark by being undesirable, irrelevant, or server after a purchase has been consummated. As a result, many advertisements are irrelevant to users. 
     SUMMARY OF THE DISCLOSURE 
     The illustrative embodiments provide a system, method, device, and platform. The system includes electronic devices that execute a data application. The data application determines investment information associated with the user. A data platform accessible by the electronic devices through one or more networks executes the data application to receive the investment information for the user, tokenize the investment information in one or more blockchain tokens, reconcile the investment information with the available advertising data, create targeted advertisements based on the one or more blockchain tokens and available advertising content, and communicate the targeted advertisements to the user through one or more consumer electronic devices. 
     Another embodiment provides a number of electronic devices executing a data application. The data application determines investment information associated with a user. A data platform accessible by the number of electronic devices through one or more networks. The data platform executes the data application to receive the investment information for a user, tokenize the investment information in one or more blockchain tokens, reconcile the investment information with available advertising data, create targeted advertisements based on the one or more blockchain tokens and the available advertising content, and communicate the targeted advertisements to the user through one or more consumer electronic devices. 
     In other embodiments, the investment information may be a portfolio of the user including one or more stocks, equities, holdings, or interests associated with the user. The data platform may receive a user profile associated with the user through at least one of the electronic devices. The data platform may receive a user profile associated with the user through at least one of the electronic devices. The electronic devices may include one or more clearing houses representing trading clearing houses and credit card clearing houses. The targeted advertisements may support the portfolio of the user determined from the investment information. The investment information may be a portfolio of the user including one or more stocks, equities, holdings, or interests associated with the user. The data platform may determine whether the targeted advertisement is appropriate for the user based on the location and the activity of the user before communicating the targeted advertisement to the user. The data application may be configured to receive user preferences associated with the user. The targeted advertisements are generated utilizing the user preferences. A database in communication with the data platform saves the investment information. The user preferences specify how the investment information is utilized by the data platform. 
     The illustrative embodiments provide a system, method, device, and platform for generating targeted advertisements. Transaction information for a user is received. The transaction information associated with the user is verified. The information is reconciled with advertising data associated with the transaction information. Targeted advertisements are created based on the available advertising data. The targeted advertisements are communicated to the user. 
     Another embodiment provides a system for performing transactions for data. The system includes multiple electronic devices executing a data application. The data application is configured to determine investment information associated with the user. The system also includes a data platform accessible by the multiple electronic devices executing the data application through one or more networks. The data platform receives investment information for a user, reconciles the investment information with available advertising data, creates targeted advertisements associated with the investment information from the available advertising content, and communicates the targeted advertisements to the user through one or more consumer electronic devices. 
     Another embodiment provides a data platform. The data platform may include a processor for executing a set of instructions and a memory for storing the set of instructions. The set of instructions may be executed to receive investment information for a user, reconcile the investment information with available advertising data, create targeted advertisements associated with the investment information from the available advertising data, and communicate the targeted advertisements to the user. 
     The illustrative embodiments provide a system, method, and platform for performing transactions for data. The data is grouped. The data is associated with a platform. Transaction information for the data is received. One or more transactions are performed based on the transaction information. The verification of the transaction is provided. Another embodiment provides a processor for executing a set of instructions and a memory storing a set of instructions configured to perform the method herein described. 
     The illustrative embodiments provide a system, method, and platform for monetizing data. A selection is received from a user to monetize data associated with the user. The data associated with user is compiled. A security token is generated including the data. The data is monetized utilizing the security token in accordance with the selection. 
     In other embodiments, the data may include digital profiles that are monetized for data. Data validation may be performed through user opt-ins that are identified and confirmed by the user. Token based compensation for consumer data allows for the direct control and monetization of their data (e.g., web data, application data, profiles, personal measurements, readings, etc.). Compensation may be performed through digital currencies, hard currencies, charitable contributions, and tax deductions. The earnings for a user may also be donated. Users may be rewarded for additional data uploads, updates, additions, amendments, surveys/questionnaire fulfillment, and so forth. The tokens may be utilized to pay a vendor or third party for a product, service, system, or data, secure a digital asset, tracking the life of an asset, share a stake in an asset or company, participate in an initial coin offering, receive a reward, maintaining and managing a digital asset, make a charitable contribution, or receive a tax deduction. 
     Another illustrative embodiment provides a system, method, device, and platform for managing user data. One or more data elements associated with user data are received from one of a number of sources. The one or more data elements are automatically confirmed as applicable to a user. The one or more data elements are added to a data set associated with the user. A determination is made whether the data set is complete after adding the data element to the data set. One or more tokens are created based on the data set of the user. Another embodiment provides a processor for executing a set of instructions and a memory storing a set of instructions configured to perform the method herein described. 
     Another embodiment provides a system for utilizing user data. The system includes electronic devices executing a data application. The data application is configured to capture the user data associated with a user. The system also includes a data platform accessible by the electronic devices executing the data application through one or more networks. The data platform receives one or more data elements associated with the user data from the electronic devices, automatically confirms the one or more data elements are applicable to the user, adds the one or more data elements to a data set associated with the user, determines whether the data set is complete after adding the data element to the data set, and creates one or more tokens based on the data set of the user. 
     Another embodiment provides a data platform. The data platform may include a processor for executing a set of instructions and a memory for storing the set of instructions. The set of instructions may be executed to receive one or more data elements associated with the user data from one of a number of sources, automatically confirm the one or more data elements is applicable to the user, add the one or more data elements to a data set associated with the user, determine whether the data set is complete after adding the data element to the data set, and create one or more tokens based on the data set of the user. 
     In other embodiments, one or more of the following may be implemented. Instructions are received from the user specifying how the data set is utilized and the user is compensated for sharing the tokens with one or more interested parties. Additional data elements may be requested in response to determining the data set is incomplete utilizing questions, surveys, and a user profile associated with the user. The one or more data elements are authenticated as being associated with the user. The token is a block chain crypto token and points to the data set for secure access by one or more interested parties. Distinct data sets are clustered into a data pool, the data pool is cross populated with distinct data sets, and the data pool is segmented to identify saturation, missing, incomplete, or nonrelevant data. A determination is made regarding the relevance of the data pool to one or more interested parties. Payments are received from one or more interested parties to access the data set utilizing the token. One or more users are compensated for granting access to their data sets. The interested parties represent advertisers, marketers, or businesses that desire access to the user data in the data set. The illustrative embodiments provide a system, method, and platform for monetizing data. A selection is received from a user to monetize data associated with the user. The data associated with user is compiled. A security token is generated including the data. The data is monetized utilizing the security token in accordance with the selection. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       Illustrated embodiments are described in detail below with reference to the attached drawing figures, which are incorporated by reference herein, and where: 
         FIG. 1  is a pictorial representation of a system for managing user information in accordance with an illustrative embodiment. 
         FIG. 2  further illustrates portions of the system of  FIG. 1  in accordance with an illustrative embodiment; 
         FIG. 3  is a flowchart of a process for creating targeted advertisements in accordance with an illustrative embodiment; 
         FIG. 4  is a flowchart of a process for utilizing targeted advertisements in accordance with an illustrative embodiment; 
         FIG. 5  depicts a computing system in accordance with an illustrative embodiment; and 
         FIG. 6  is a pictorial representation of a targeted advertisement in accordance with an illustrative embodiment. 
     
    
    
     DETAILED DESCRIPTION OF THE DISCLOSURE 
     The illustrative embodiments provide a network, system, method, platform and devices for data management and utilization that provides for equity holdings, credit card activity, and user specified parameters and preferences to be processed for the purpose of targeting advertisements to consumers. The illustrative embodiments create a relationship between data sets regarding ownership of stock portfolios, equities, and user associated interests and the products that consumers buy or are shopping for that are owned by the companies represented within their portfolios. 
     Data tracking and segmentation provides for improved real-time and online advertisements, product recommendations, stock tips and shopping recommendations via an ad-targeting network. The improvements allow advertisements to be selectively targeted based on consumer profiles that may include real-time and historical purchasing data and the real-time and historical stock and equity portfolios. Data from multiple primary sources may be leveraged towards the targeted advertising including stock trading data, stock custody data and consumer credit and debit card transaction data. 
     The advertising network data is processed, and advertisements are delivered to users/consumers so that they can act in their own best interests and purchase products, services, and commodities that are in alignment with their holdings. This technology tool provides investors who own stock in specific companies a means to support that stock ownership by receiving targeted purchase recommendations and advertisements that allows consumers them to make informed purchase decisions that facilitate and support the success of each stock held within own individual investor portfolio by purchasing those products. Alternatively, when users buy products outside the products represented in their portfolios, the user may receive data and advertisements from brokers to buy or switch to the stocks associated to those products. 
     The illustrative embodiments utilize data records from stock transactions, equities, credit card transactions, user preferences, and other self-interests to perform targeted advertisements. Different data clearing houses, groups, or parties may be utilized to process and verify user and consumer data. For example, every stock transaction including the stock, shares, amount, type of transaction (e.g., limit, market, short, futures transaction, option, etc.), and other information is received, processed, and stored. 
     The illustrative embodiments provide a system, method, platform, and network for encrypting, securing, developing, and managing data valuations, transactions, and utilization. The data may be accessible from any number of authorized and connected devices. The illustrative embodiments allow users/consumers, consumer groups, companies, organizations, entities, governments, and other parties worldwide to develop data strategies and the conversion of any data into a monetizable asset (including a transactable token currency). platform for capturing, identifying, monetizing, converting, utilizing, and improving data. 
     As referenced herein, data refers to the personal or commercial data, user profiles, web profiles, search profiles, application profiles, and other information applicable to a user, consumer, entity, device, system, or other party. The illustrative embodiments comply with all applicable data privacy and administration rules, laws, and best practices. Any number of mobile devices, computers, machines, servers, arrays, or so forth may be utilized to implement the illustrative embodiments. A user may tokenize his/her data and convert all applicable data into an asset that may be controlled, valued, and monetized in commercial transactions. The illustrative embodiments also provide the user the ability to control data generation and the seamless utilization of the data. For example, algorithmic processing may determine how and when online and digital data is utilized and monetized, the price point or fair data valuation based on applicable pricing (e.g., demographic, global, location, utilization, etc.) based on going rates, principles of supply and demand, market economics, market analysis, machine learning, exchanges, auctions, real-time bidding, artificial intelligence, and so forth. Relevant information regarding data utilization may be acquired in real-time, based on historical transactions/archives, selling prices, or other applicable information or data that informs the value of a data sale or transaction. The illustrative embodiments allow the end user to select advertisement preferences that coincide with their stocks/shares, ownerships, interests, holdings, demographics, opinions, behaviors, beliefs, social structure, purchase plans, and real-world desires. 
     The illustrative embodiments may be utilized to perform a transaction for the data. The data may be grouped, associated, and commoditized for any number of trades, exchanges, purchases, donations, or other transactions. The data may be associated with a platform for transactions involving the data and associated advertisements. The transaction may be performed automatically or based on user input, feedback, instructions, or commands. 
     One embodiment provides a blockchain based security token system that gives consumers the ability to control, monetize, and/or donate any or all of the proceeds from the utilization, sale, or sharing of their profile and/or data and advertising-based revenue. The illustrative embodiments curate or collect data in real-time from users based on an opt-in system with clear compensation and renumeration guidelines. For example, any number of computing or communications devices, platforms, applications, or so forth may be utilized to capture the data. 
     The security tokens utilized may represent any number of existing, custom/proprietary, and other tokens. In one embodiment, formatted, structured, or unstructured data may be converted into an encrypted token that represents, includes, or references the applicable data. The security interest in a data asset may be represented in the form of a token. Data across numerous fields and with different utilizations may be captured in a token (or tokenized). For example, intelligence, counterintelligence, consumer profiles, consumer/user, private, public, and other types of data may be captured and monetized. For example, the illustrative embodiments may provide a data management system that allows an asset, such as ownership of a digital profile to be tokenized as an asset that may be tracked, grown, and expanded through an opt in submission from multiple sources and monetized digitally through an e-commerce platform. 
     The security tokens may be issued, regulated, managed, and distributed by a platform to comply with the existing regulatory framework. The platform may provide a data monetization process for creating and performing transactions between buyers and sellers (e.g., similar to a stock trading platform). The illustrative embodiments may apply pricing based on a set price range, guidelines, industry-standard, or market rate. The data in the form of a token may allow the user to directly control and monetize their data in a transparent and secure blockchain platform. Consumers may receive security tokens in several ways when they sign up to participate in the system/service, when and where they opt in to include their data in the marketplace, and when corporations and/or third parties purchase or monetized access to their data. For example, the data may be managed within a self-directed and mobile computing environment. The illustrative embodiments allow users to determine how and when their data is shared and monetized eliminating guesswork used by search, advertising, and marketing companies to generate user approved and desired consumer marketing data. 
     In one embodiment, the asset of data is created by the opt-in submission of a user&#39;s stock/ownership/interest profile, trading profile/account, social network profile(s), website utilization profiles, or generic/customized profile, and the associated data. The platform may be further used to secure all rights to any revenue streams associated with the data asset (e.g., any sale, sharing, or monetization of the user profile to a third party, site, or advertiser). By opting into the program, the user is providing their profile and perfecting the profile to match their actual daily living and purchases of products. As a result, the illustrative embodiments put the user in full control of the use and monetization of their data while avoiding the erroneous or inaccurate use of information inherent in currently available advertising programs and systems. The illustrative embodiments take third-party unauthorized or on monetized used of poor user data and enables an accurate and monetized data stream to be created for the user. The user benefits as do the third parties that are using the more accurate data. For example, assets associated with the user (e.g., stocks, hedge funds, business entities, charitable organizations, etc.) may benefit by adding revenue, increasing in value/valuation, and otherwise benefiting the user. 
     The illustrative embodiments may enable the user to track utilization and monetization of their data in a more transparent fashion. As a result, the user may be able to see and track dividends, revenue sharing, price appreciation, or other forms of data asset monetization. For example, a value-based reward system tracked utilizing blockchain may be implemented. Smart contracts may be utilized with blockchain to ensure proper utilization and monetization of the data for verification purposes. The secured token generation process of the user data/profile provides proof of ownership to the user and ensures contract conditions are written into the smart contract code within the blockchain structure. The blockchain records maintain and track the creation, issuance, management, and monetization of each token throughout the lifetime of the user&#39;s involvement and ownership of their data. In one embodiment, a user may be rewarded with additional tokens for keeping their data/profile updated as well as for additional participation in surveys, watch a video, verify, a purchase, add studies, product marketing, expanded data provisioning, and questionnaires. 
     The user may be incentivized to provide additional data, such as pictures, audio content, videos, location (e.g., real-time, GPS, beacon, triangulation, delayed for safety, historical, etc.), Internet protocol address, identification of friends from each social network, sharing access to third-party applications, search data, views, likes, shares, comments, and so forth. As a result, the user may specify advertisement preferences that are associated with their stocks, portfolio, assets, equities, holdings, interests, demographics, opinions, behaviors, beliefs, social structure, purchase plans, and real-world desires. The user data that is recorded and stored may reside permanently on the blockchain, but typically only has a three-year lifecycle to be relevant. Thus, the user is incentivized to maintain, share, and update their data and associated profiles. 
     The data profile may be singular to a user or may be expanded to include deeper insights into a family, group of friends, employees, or other affiliated or associated groups. For example, a family circle profile may include an opt in for parents, children, grandparents, uncles, cousins, neighbors, family friends, and so forth. The data profile may be shared as a family asset between a partner, spouse, and children allowing the family data to be managed and monetized as a single asset. As a result, advertisers and others may get deeper insights into participating users. The illustrative embodiments manage the data collection, pricing, reconciliation, verification, payments, or so forth. Advertisers may be able to identify consumer data that is relevant to their campaign in order to provide direct incentives and/or monetization for users who provide specific advertiser-based insights. For example, a user may select to support a corporate restaurant of which a brother is a part-owner, an online educational institute that a friend works for, or a business that supports charities approved of by the user. 
     The illustrative embodiments may also allow user to transfer or donate the revenue or value generated for a charitable deduction or associated tax deduction. Each of the described data components is 100% opt in with users being rewarded for sharing specific data points that are desirable to advertisers or other third parties. For example, users may opt-out of specific data points that the do not wish to share with advertisers. The data captured by the illustrative embodiments may be consolidated and purchased by advertisers who provide incentives, rewards, or donations in exchange for access to users and focus group data used for the mining of advertiser-based user insights, analytics, marketing, and advertisement targeting. 
     The illustrative embodiments may also be utilized to create a data index that catalogs user profiles, data sets, and data transactions. Advertisers may then select a pricing structure for each type of data profile component that is desirable to advertisers thereby creating a virtual market for advertisers to purchase real time user data. The changing values of the data may be tracked over time for specific user profiles, consumer groups, and data pools based on their value to advertisers. The use of security tokens tied to user profiles creates a marketable asset that gives greater validity to commercial uses of blockchain technologies and the security token market. 
     Security tokens may be exchanged for actual currency, preferred stock options, stock warrants, bonds, exchange traded fund (ETF) shares, cryptic or, initial coin offerings (ICO), gift cards, vouchers, and other forms of compensation. 
       FIG. 1  is a pictorial representation of a system  100  for managing user information in accordance with an illustrative embodiment. In one embodiment, the system  100  of  FIG. 1  may include any number of devices  101 , networks, components, software, hardware, and so forth. In one example, the system  100  may include a smart phone  102 , a tablet  104  displaying graphical user interface  105 , a laptop  106  (altogether devices  101 ), a network  110 , a network  112 , a cloud system  114 , servers  116 , databases  118 , a data platform  120  including at least a logic engine  122 , a memory  124 , data  126 , and transactions  128 . The cloud system  114  may further communicate with sources  131  and third-party resources  130 . 
     Each of the devices, systems, and equipment of the system  100  may include any number of computing and telecommunications components, devices or elements which may include processors, memories, caches, busses, motherboards, chips, traces, wires, pins, circuits, ports, interfaces, cards, converters, adapters, connections, transceivers, displays, antennas, operating systems, kernels, modules, scripts, firmware, sets of instructions, and other similar components and software that are not described herein for purposes of simplicity. 
     In one embodiment, the system  100  may be utilized by any number of users, organizations, or providers to aggregate, manage, review, analyze, process, distribute, advertise, market, display, and/or monetize data  126 . For example, the data  126  may be utilized in marketing or advertisements for goods or services associated with the stock, equity, holdings, ownership, or interests of each user (as well as family and friends as allowed or specified). In one embodiment, the goods and services represent any number of items, content, products, or services sold by a business, entity, organization, or entity. In one embodiment, the system  100  may utilize any number of secure identifiers (e.g., passwords, pin numbers, certificates, etc.), secure channels, connections, or links, virtual private networks, biometrics, or so forth to upload, manage, and secure the data  126 , generate tokens, and perform applicable transactions. As noted, the system  100  may be a blockchain system that utilizes a digital ledger to track transactions  128  involving the data  126  and advertisements  129 . For example, the digital ledger may store the data  126 , transactions  128 , and advertisements  129  along with their details, information, and data. The devices  101  are representative of multiple devices that may be utilized by businesses or consumers. The devices  101  utilize any number of applications, browsers, gateways, bridges, or interfaces to communicate with the cloud system  114 , platform  120 , and/or associated components. 
     The data  126  may include a number of different data types. The data  126  may include information relating to the stock, shares, equity, holdings, and other interests of each user. The data  126  may include information relating to companies/partners/affiliates, associated products/services, purchase date, sale date, shares/ownership percentage, and other applicable information. The data  126  may also include demographic data, consumer data, family and health data, property data, interests and activity data, and other applicable types of data. Demographic data may be a combination of static and influx data points that include age, gender, occupation, marital status, education/education level, income level, religion, birthday, family size, and so forth. Demographic data, although mostly static, is commonly quite important to marketers and other interested parties. Consumer data may include websites visited, purchase plans, purchases, brand affinity, cars, clothes, travel, and other information applicable to users, clients, customers, groups, or so forth. The family and health data may include permanent or long-lasting data elements which may be helpful for predicting future purchases and include information related to family, health, and medical conditions, such as child care, diapers, diabetes, incontinence, rental information, and so forth. The family and health data have a large potential for cross marketing of data. Property data may include information regarding ownership, rentals/renters, address, for sale, occupants, pool, and vehicle ownership. This data may be treated and value as static data (even though changes are likely and expected). The interests and activity data may include data regarding hobbies, general interests, product and brand preferences, and other applicable influx data. 
     The wireless device  102 , tablet  104 , and laptop  106  are examples of common devices that may be utilized to receive and manage data  126 , perform transactions  128 , and communicate advertisements  129 . Other examples of devices  101  may include e-readers, cameras, video cameras, audio systems, gaming devices, vehicle systems, kiosks, point of sale systems, televisions, smart displays, monitors, entertainment devices, medical devices, virtual reality/augmented reality systems, or so forth. The devices  101  may communicate wirelessly or through any number of fixed/hardwired connections, networks, signals, protocols, formats, or so forth. In one embodiment, the smart phone  102  is a cell phone that communicates with the network  110  through a 5G connection. The laptop  106  may communicate with the network  112  through an Ethernet, Wi-Fi connection, cellular, or other wired or wireless connection. 
     The data  126  may be collected and sourced from any number of online and real-world sources including, but not limited to, clearinghouses (e.g., stocks, credit card transactions, etc.), website traffic and cookie-based analytics, social media and application data, point of sale, purchase, and transaction history, loyalty programs and coupons, location-based email list for mailers, surveys and questionnaires, and other applicable sources. For example, the data  126  may include stock trading data, stock custody data, and consumer credit/debit card transaction data. The data  126  may also store information regarding a user&#39;s purchases (e.g., past, present, future, likely, etc.), interests (e.g., personal, commercial, etc.), business/business needs, and other applicable information. The data  126  may also store information regarding the family and friends of the user if authorized or requested by the user. As a result, the user may be able to support businesses and groups associated with friends and family as well by receiving targeted advertisements and potentially purchasing goods/services based on those advertisements. 
     These same data collection sources may be utilized to perform analysis of the data  126 . In one embodiment, the data  126  may be captured through registered account information, programs/applications, website traffic, and tracking cookie-based analytics. 
     The data  126  may be captured through social media and applications. Social media data may be utilized to provide real-time polls, likes and dislikes, feedback, preferences for media content, site traffic, and numerous other consumer data. Any number of mobile, computing, personal assistant (e.g., Siri, Alexa, Cortana, Google, etc.), or other applications may be utilized. Social media data and interactions may be utilized as definitive or anecdotal data. 
     The data  126  may also be captured through point of sale, transaction, and purchase history. In one embodiment, a credit card clearing house may be utilized to capture the data. Customers, consumers, and clients may be comfortable with sharing the specific data points associated with point-of-sale transactions due to established practices. The point-of-sale transactions may include extensive data, including, but not limited to, name, address, item/service, price, credit card type, purchase location, date, brand preference, brand category, product affinity, spending levels, order history, inventory, restock data, purchase demographics, and so forth. Point-of-sale and transaction history data may have static, perennial, and influx data points with the value of each data point being tracked and measured within the data valuation index and the data derivatives marketplace. 
     The data  126  may also include location-based information and communications. An example of static and perennial data points that may be collected include a standard web form, email request form, wireless triangulation, routers/towers/access points reached, proximity beacons, and so forth. The location-based communications may capture data, such as email, consumer/business addresses, phone numbers, and so forth. 
     The data  126  may require and solicit additional data points and may also include surveys and questionnaires. Responses to surveys and questionnaires may be one of the best ways to gather and inform information regarding the user&#39;s stocks, holdings, shares, ownership, and interests that may not be able to be determined in other ways due to privacy, entity names, applicable laws, and so forth. The ability to gather real-world consumer insights may help complete or round out a user profile. The surveys and questionnaires may be performed digitally (e.g., websites, extensions, programs, applications, browsers, texting, or manually (e.g., audibly, on paper, etc.). Responses to surveys and questionnaires may help measure and achieve saturation of datapoints for user profiles. 
     The cloud system  114  may aggregate, manage, analyze, and process data  126  and tokens across the Internet and any number of networks, sources  131 , and third-party resources  130 . For example, the networks  110 ,  112 ,  114  may represent any number of public, private, virtual, specialty (e.g., trading, financial, cryptocurrency, etc.), or other network types or configurations. The different components of the system  100 , including the devices  101  may be configured to communicate using wireless communications, such as Bluetooth, Wi-Fi, or so forth. Alternatively, the devices  101  may communicate utilizing satellite connections, Wi-Fi, 3G, 4G, 5G, LTE, personal communications systems, DMA wireless networks, and/or hardwired connections, such as fiber optics, T1, cable, DSL, high speed trunks, powerline communications, and telephone lines. Any number of communications architectures including client-server, network rings, peer-to-peer, n-tier, application server, mesh networks, fog networks, or other distributed or network system architectures may be utilized. The networks,  110 ,  112 ,  114  of the system  100  may represent a single communication service provider or multiple communications services providers. 
     The sources  131  may represent any number of clearing houses, web servers, service providers (e.g., trading platforms, credit card companies, transaction processors, etc.), distribution services (e.g., text, email, video, etc.), media servers, platforms, distribution devices, or so forth. In one embodiment, the sources  131  may represent the businesses that purchase, license, or utilize the data  126 , such as advertising or marketing goods and services utilizing the system  100 . In one embodiment, the cloud system  114  (or alternatively the cloud network) including the data platform  120  is specially configured to perform the illustrative embodiments. 
     The cloud system  114  or network represents a cloud computing environment and network utilized to aggregate, process, manage, generate, sell, monetize, and distribute data  126  and advertisements  129  while supporting the transactions  128  and utilization. The cloud system  114  may implement a blockchain system for managing the data  126 , transactions  128 , and advertisements  129 . The cloud system  114  allows data  126 , transactions  128 , and advertisements  129  from multiple businesses, users, managers, or service providers to be centralized. In addition, the cloud system  114  may remotely manage configuration, software, and computation resources for the devices of the system  100 , such as devices  101 . The cloud system  114  may prevent unauthorized access to data  126 , tools, and resources stored in the servers  116 , databases  118 , and any number of associated secured connections, virtual resources, modules, applications, components, devices, or so forth. In addition, a user may more quickly upload, aggregate, process, manage, view, and distribute data  126  (e.g., profiles, updates, surveys, content, etc.), transactions  128 , and advertisements  129  where authorized, utilizing the cloud resources of the cloud system  114  and data platform  120 . 
     The cloud system  114  allows the overall system  100  to be scalable for quickly adding and removing users, businesses, authorized sellers, stock/interest-based information, transaction based information, analysis modules, distributors, valuation logic, algorithms, moderators, programs, scripts, filters, transaction processes, distribution partners, or other users, devices, processes, or resources. Communications with the cloud system  114  may utilize encryption, secured tokens, secure tunnels, handshakes, secure identifiers (e.g., passwords, pins, keys, scripts, biometrics, etc.), firewalls, digital ledgers, specialized software modules, or other data security systems and methodologies as are known in the art. 
     Although not shown, the cloud system  114  may include any number of load balancers. The load balancer is one or more devices configured to distribute the workload of processing the uploaded data  126  as well as applicable transactions to optimize resource utilization, throughput, and minimize response time and overload. For example, the load balancer may represent a multilayer switch, database load balancer, or a domain name system server. The load balancer may facilitate communications and functionality (e.g. database queries, read requests, write requests, command communications, stream processing, etc.) between the devices  101  and the cloud system  114 . For example, the cloud system  114  may offload verification of users that seek to be added to the system  100  along with applicable data  126  and information. Load balancing may be performed between automatic systems and devices as well as individual users. Other intelligent network devices may also be utilized within the cloud system  114 . 
     The servers  116  and databases  118  may represent a portion of the data platform  120 . In one embodiment, the servers  116  may include a web server  117  utilized to provide a website, mobile applications, and user interface (e.g., user interface  107 ) for interfacing with numerous users. Information received by the web server  117  may be managed by the data platform  120  managing the servers  116  and associated databases  118 . For example, the web server  117  may communicate with the database  118  to respond to read and write requests. For example, the servers  116  may include one or more servers dedicated to implementing and recording blockchain transactions and communications involving the data  126 , transactions  128 , and advertisements  129 . For example, the databases  118  may store a digital ledger for updating information relating to the user&#39;s data  126  and transactions  128  as well as utilization of the data  126  and transactions  128  to generate and communicate the advertisements  129 . 
     The databases  118  may utilize any number of database architectures and database management systems (DBMS) as are known in the art. The databases  118  may store the content associated with each user/consumer/purchaser which may specify an address, name, age, demographics, interests, family/friend information, biometric identifiers, payment information, permissions, settings, location, cause preferences, cause restrictions, and so forth. Any number of secure identifiers, such as tones, QR codes, serial numbers, or so forth may be utilized to ensure that content, personal, or transaction information is not improperly shared or accessed. 
     The user interface  105  may be made available through the various devices  101  of the system  100 . In one embodiment, the user interface  105  represents a graphical user interface, audio interface, or other interface that may be utilized to manage data, transactions, and other information. For example, the user may enter or update associated data utilizing the user interface  105  (e.g., browser or application on a mobile device). The user interface  105  may be presented based on execution of one or more applications, browsers, kernels, modules, scripts, operating systems, or specialized software that is executed by one of the respective devices  101 . The user interface may display current and historical data as well as trends. The user interface  105  may be utilized to set the user preferences, parameters, and configurations of the devices  101  as well as upload and manage the data, content, and implementation preferences sent to the cloud system  114 . The user interface  105  may also be utilized to communicate the advertisements  129  to the user. The devices  101  (e.g., displays, indicators/LEDs, speakers, vibration/tactile components, etc.) may present, play, display, or otherwise communicate the advertisements  129  visually, audibly, tactilely, or any combination thereof. 
     In one embodiment, the system  100  or the cloud system  114  may also include the data platform  120  which is one or more devices utilized to enable, initiate, generate, aggregate, analyze, process, and manage data  126 , transactions  128 , advertisements  129 , and so forth with one or more communications or computing devices. The data platform  120  may include one or more devices networked to manage the cloud network and system  114 . For example, the data platform  120  may include any number of servers, routers, switches, or advanced intelligent network devices. For example, the data platform  120  may represent one or more web servers that performs the processes and methods herein described. 
     In one embodiment, the logic engine  122  is the logic that controls various algorithms, programs, hardware, and software that interact to receive, aggregate, analyze, rank, process, score, communicate, and distribute data, content, transactions, alerts, reports, messages, or so forth. The logic engine  122  may utilize any number of thresholds, parameters, criteria, algorithms, instructions, or feedback to interact with users and interested parties and to perform other automated processes. In one embodiment, the logic engine  122  may represent a processor. The processor is circuitry or logic enabled to control execution of a program, application, operating system, macro, kernel, or other set of instructions. The processor may be one or more microprocessors, digital signal processors, application-specific integrated circuits (ASIC), central processing units, or other devices suitable for controlling an electronic device including one or more hardware and software elements, executing software, instructions, programs, and applications, converting and processing signals and information, and performing other related tasks. The processor may be a single chip or integrated with other computing or communications elements. 
     The memory  124  is a hardware element, device, or recording media configured to store data for subsequent retrieval or access at a later time. The memory  124  may be static or dynamic memory. The memory  124  may include a hard disk, random access memory, cache, removable media drive, mass storage, or configuration suitable as storage for data  126 , transactions  128 , instructions, and information. In one embodiment, the memory  124  and logic engine  122  may be integrated. The memory  124  may use any type of volatile or non-volatile storage techniques and mediums. In one embodiment, the memory  124  may store a digital ledger and tokens for implementing a blockchain processes. 
     In one embodiment, the cloud system  114  or the data platform  120  may coordinate the methods and processes described herein as well as software synchronization, communication, and processes. The third-party resources  130  may represent any number of human or electronic resources utilized by the cloud system  114  including, but not limited to, businesses, entities, organizations, individuals, government databases, private databases, web servers, research services, and so forth. For example, the third-party resources  130  may represent advertisement agencies, marketers, e-commerce companies, verification services, credit monitoring services, and others that pay for rights to use the data  126 , track or provide information regarding the transactions  128 , and create or monitor utilization of the advertisements  129 . 
     In one embodiment, the data platform  120  may implement a blockchain ledger, manager, or technology. In another embodiment, the blockchain ledger may be accessible through sources  131 . Any number of existing blockchain companies or providers may be utilized (e.g., Aeternity, Ethereum, Bitcoin, Dfinity, ContentKid, Blockphase, Chain of Things, Flowchain, Decissio, Cognate, SkyHive, Safe, etc.). 
     The blockchain is utilized as a way to store and communicate the data  126 , transactions  128 , and advertisements  129 . The blockchain may utilized one or more distinct ledgers for different entities, services providers, types of data, users, or so forth. For example, each new user with data received by the data platform  120  is assigned a token or other secure identifier. In one embodiment, the digital tokens may be managed utilizing a key that allows the user or controlling party to access the ledger. In one example, the tokens may be controlled by the user or control may be reassigned. The blockchain may cross-reference updates to the data  126  with the original record for the data platform  120  to ensure proper maintenance, control, licensing, management, and transactions. In one example, different licensing tiers, pricing algorithms, license verification, cause information, and payments are combined to create a unique platform. The illustrative embodiments provide a system  100 , cloud system  114 , and data platform  120  for using user data, specifically stocks, equities, ownership, holdings, and interests, to generate selective or targeted advertising. The illustrative embodiments are performed based on the user&#39;s request, authorization, or approval to apply with all applicable laws. 
     The blockchain may also utilize any number of payment systems (e.g., PayPal, Venmo, Dwolla, Square, wire transfers, credit cards, Quicken, etc.) to receive money and distribute payments to the applicable party. In one embodiment, the data platform  120  may receive a small fee or percentage per transaction, data uploaded/updated, data purchased, shared, or licensed, purchased item, browsing session, or so forth. In one embodiment, the data platform  120  may be utilized to verify users and advertisers (as well as other users/entities that utilize the data platform  120 ) and associated data  126  and transactions  128  associated with the data  126 . 
     The third-party resources  130  may represent any number of electronic or other resources that may be accessed to perform the processes herein described. For example, the third-party resources  130  may represent government, private, and charitable servers, databases, websites, programs, services, and so forth for verifying the data  126 , transactions  128 , and the advertisements  129 . In another example, auditors may verify the advertisements  129  are actually generated based on the data  126  including the transactions  128 . 
     Various data and venue owners that access the data platform  120  may legally extract and tokenize the data  128 , transactions  128 , and advertisements for use in the exchange provided by the system  100  by identifying and tracking data utilizing automatic data extraction tools. Any number of privacy and data policies may be implemented to ensure that applicable local, State, Federal, and International laws, standards, and practices are procedures are met. 
     In one embodiment, a user or consumer group represented by a user of the devices  101  or the sources  131  may elect and receive permission to collect observational data collected from secure and authorized systems to achieve access to partial or complete data from the sources  131  (e.g., professional drivers, human resources, prison records, property values, real estate sales, retail sales, retail prices, commerce, waste stream data, etc.). 
     The logic engine  122  may also perform valuation of the data  126  and advertisements as is taught by U.S. provisional patent application 62/755,815 entitled “Method and System for Data Valuation and Secure Commercial Monetization Platform” and filed Nov. 5, 2018 and as is taught by U.S. provisional patent application 62/826,457 entitled “Method and System for Data Futures Platform” filed Mar. 29, 2019 which are hereby incorporated by reference in their entirety. The illustrative embodiments may also support third-party utilization of the data  126  and transactions  128  to generate the advertisements  129 . Various authorization, auditing, and validation processes may be performed by auditing groups, commissions, industry groups, or other professionals/entities. The various embodiments may also allow a user to donate the value of their data  126  and transactions  128  and consumption of advertisements  129 . 
     In one embodiment, the logic engine  122  may utilize artificial intelligence. The artificial intelligence may be utilized to enhance data  126 , analyze transactions  128 , and generate advertisements  129  to increase value, utilization, effectiveness, and profits. For example, artificial intelligence may be utilized to review, authenticate, and validate data and transactions that are received by the system  100 . The artificial intelligence of the logic engine  122  may be utilized to ensure that the data  126  is improved, accurately analyzed, and value increased. For example, it is expected that data and the associated tokens that are validated utilizing artificial intelligence may be given a premium value by advertisers. 
     In another embodiment, the devices  101  may include any number of sensors, appliances, and devices that utilize real time measurements and data collection to update the data  126 . For example, a sensor network, wearables (e.g., watches, bands, implantable devices, etc.) and Internet of things (IOT) devices may gather user and behavioral data. The data platform  120  may also work in conjunction with hands-free data mining and measurement tools that tracks location, activity, and video-based marketing data (e.g., from GPS location, video from storefronts, beacon detection, proximity alerts, etc.) from any number of third-party sources. The user may be tracked through any number of environments, locations, and conditions. The advertisements  129  may also be generated based on the activities, actions, and location of the user. 
     In one embodiment, the data platform  120  may extract data from third-party platforms by opting in and providing user credentials to various applications (e.g., Charles Schwab, TD Ameritrade, E*Trade, Vanguard, Fidelity, Merrill Lynch, etc.) the data platform  120  may extract data from the sources  131 . 
       FIG. 2  further illustrates portions of the system  100  of  FIG. 1  in accordance with an illustrative embodiment. As shown the advertisers  150 A-E (jointly advertisers  150 ) may represent the sources  131  of  FIG. 1 . The sellers  150  may represent any number of exchanges, platforms, clearinghouses. advertisers, marketers, businesses, retailers, service providers, individuals, organizations, entities, or so forth referred to as sellers  150  or businesses for purposes of simplicity. The consumers  152 A,  152 B (jointly consumers  152 ) represent any number of users, consumers, groups, or individuals that have data  154  (also including transactions) that is utilized to allow targeted advertisements  155  to that they are willing to allow the sellers  150  to access through the data platform  120 . In one embodiment, the data platform  120  may represent all or portions of the system  100  of  FIG. 1  (including the cloud system  114 , servers  116 , and databases  118 ). 
     The consumers  152  may actively or passively upload data  154  to the data platform  120 . The data platform  120  may also receive amended, updated, or add additional data  154  for the consumers  152  at any time as described herein. The consumers  152  may have an agreement (e.g., contract, terms of services, permissions, authorizations, etc.) for the utilization of the data  154  by the sellers  150  or other interested parties to generate the targeted advertisements  155 . The agreement or contract may specify how, when, and what portions of the data  154  may be used as well as the associated compensation terms. The agreement may specify that the data  154  may be processed, analyzed, purchased, licensed, rented, leased, or otherwise managed by the data platform  120  for the mutual benefit of the consumers  152  and the sellers  150 . For example, the consumer  152 B may elect to receive targeted advertisements  154  to support the companies, organizations, entities, or other groups in which the consumer  152 B has stock, ownership shares, interests, holdings, or a vested interest. The consumer  152 B may be interested in the targeted advertisements  154  to support herself or to support family and friends. In another example, the consumer  152 B may elect to license use of their data  154  such that they are compensated utilizing a digital currency (or hard currency) for each access of or utilization of their data  154  by the sellers  150 . 
     The data platform  120  may process raw consumer data to generate the targeted advertisements  155 . The targeted advertisements  155  may be desirable to the user because the targeted advertisements  155  support the companies, stock, holdings, ownership, or interests of the user. In one embodiment, a term or logo utilized with each of the advertisements may indicate that the targeted advertisements are for the benefit of the user. In one embodiment, the targeted advertisement  155  may even include the stock ticker, name of the company, user&#39;s name, key word, identifier, certification, or so forth indicating that the targeted advertisement has gone through the analysis, authorization, and vetting process herein described. 
     The data platform  120  performs valuation of the data  154  and targeted advertisements  155  based on information from any number of sources including current rates, contracts, indices, exchanges, and other applicable information. For example, current targeted advertisement rates may be utilized to value the data. The tokens paid to the consumers  152  in exchange for the data  154  may vary based on the volume, quantity, verification, and types of information included in the data  154 . The data platform  120  normalizes data monetization for the consumers  152  and sellers  150 . Compensation performed by the data platform  120  may be performed utilizing digital currencies or hard currencies. In one embodiment, blockchain-based currencies may be utilized to compensate the consumers  152 . Full tokens or partial tokens may be utilized to most accurately represent the values being exchanged. There may be a predefined number of tokens available thereby allowing early adopters of the system  100  to earn more over time. For example, in response to the consumer  152 A selling or granting access to the data  154  to the data platform  120  or the seller  150 B, the consumer may be compensated with tokens (e.g., Bitcoin, Ethereum, proprietary tokens, etc.). All or portions of the data  154  may be involved in a transaction. For example, in addition to stock, ownership, equities, and interest, the data  154  may include numerous components relating to all aspects of the life, work, hobbies, entertainment, studies, politics, health, family, consumer habits, for the consumer  152 B. Not all of the sellers  150  may sell products, goods, or services that correspond to the stocks, holdings, and interests of the consumers  150 . The seller  150 D may only license rights to temporarily (e.g., for one year) access the consumer habits of the consumer  152 B existing and updated in real-time. The exchange for the tokens may include a pointer to a secure storage or vault accessed through the data platform  120 . The pointer may be an encryption key, access information, unique identifier, or other security information for accessing the data  154  associated with the user. In another embodiment, security tokens used for the blockchain may also be embedded with the data  154 . The tokens granted through the data platform  120  may vary in value, may be fixed, or may act similar to other monetary instruments (e.g., stocks, bonds, certificates of deposit, etc.) for a specified original value of the data  154 . 
     The data platform  120 , sellers  150 , or consumers  152  may keep and maintain digital ledgers that track the transactions within the system  100  to verify and authenticate the data  154 , advertisements  155 , and associated transactions. The sellers  150  may utilize the data  154  to advertise, sell, or market goods, services, products, perform market research, generate analytics, and otherwise generate and communicate the advertisements  155  and communicate the advertisements  155  to the consumers  152 . As previously noted, the data platform  120  may also represent one or more processing, analysis, blockchain, or distribution centers, systems, devices, facilities, or so forth. The sellers  150  and consumers  152  may represent any number of individuals or groups (e.g., hundreds, thousands, millions, etc.). 
     As noted, the sellers  150  may send or distribute goods and services associated with the advertisements  155  through the cloud system or directly to the consumers  152 . In one embodiment, the seller  150 B may distribute goods and services  154  to the consumer  152 A through the data platform  120 . The data platform  120  may perform distribution of the goods and services  154 . For example, the data platform  120  may include any number of physical storages, digital storage, warehousing, and distribution systems, facilities, professionals, employees, contractors, electronics, and so forth. 
       FIG. 3  is a flowchart of a process for creating targeted advertisements in accordance with an illustrative embodiment. The process of  FIGS. 3-6  may be performed by a platform, device, server, or other equipment in accordance with illustrative embodiments (see for example the devices, servers, systems, and equipment of  FIG. 1 ). All or portions of the process of  FIGS. 3-6  may be performed automatically. The process of  FIG. 3  may be implemented by a system or platform, such as the system  100 , data platform  120 , or devices  101  of  FIG. 1  referred to generically herein as the platform. 
     In one embodiment, the process of  FIG. 3  may begin by receiving a user profile for a user (step  300 ). The user profile may be generated or determined from already available information for the user. For example, the user profile may represent one or more profiles compiled by devices, accounts, services, or so forth. The user may provide answers utilizing one or more surveys, fields, questions, or other applicable information and data to determine applicable information and data. In one embodiment, step  300  may be an optional step or one that is performed over time before or after the other steps of  FIG. 3 . The user profile may also represent a user account or data. 
     Next, the platform tracks transaction information for a user through one or more data clearinghouses (step  302 ). The platform may track multiple types of information, data, and transactions (referred to herein as “information”). In one embodiment, the transaction information relates to stock purchases, transactions, or exchanges performed by or otherwise associated with the user. A multi-party stock purchase verification process may be utilized to confirm every applicable stock transaction. For example, the transaction information may include the stock name, ticker, date of transaction, number of shares involved, price of the shares, commissions, fees, taxes, type of transaction (e.g., market, limit, futures, short sale, option, etc.). The transaction information may also be referred to as portfolio or investment information. The clearinghouses may represent any number of platforms, brokers, exchanges, 
     The transaction may also be applicable to any number of equity purchases (e.g., funds, shares, ownership, investments, interests, etc.). As noted, the transaction may represent any number of real-time, contingent, contractual based, delayed, or other transactions or pre-existing or current rights, ownership, or interests. The transaction information may be received from a data clearinghouse. For example, the platform may have an agreement with the data clearinghouse to receive the applicable information. The user may also be required to give permission for the platform to receive, analyze, process, and present information based on available data. The transaction information may also relate to a credit card, debit, or service purchase (e.g., PayPal, Venmo, Zelle, etc.). For example, credit card swipes, chip readers, online transactions, or other applicable transactions or exchanges may be recorded, monitored, or otherwise documented. The transaction information may similarly include the date, purchased item/service, user or users associated with the purchase, type of card/service, purchase amount, and so forth. Other types of information and data may be determined from the applicable transaction. 
     Next, the platform compiles and verifies the information associated with the user (step  304 ). The information associated with the transactions that are tracked during step  302  may be verified to ensure accuracy of the results as generated (e.g., targeted advertisements). The information may be verified utilizing any number of processes. For example, the transaction information may be reconciled utilizing online accounts, third-party services, email receipts, or other applicable information. The illustrative embodiments are unique in the ability to cross-confirm and record each unique stock, equity, or interest-based transaction thus creating a continually evolving data record of stock portfolio ownership and user interests that may be used to provide informed purchase decisions that are directly aligned with the user&#39;s/investors portfolio of investments. As a result, individuals, families, or groups may make better informed decisions. The platform may also analyze mutual funds, index funds, exchange traded funds (ETFs) pensions, hedge funds, and other complex holdings and portfolios to determine the holdings and interests of the user in their various proportions. 
     Next, the platform performs data reconciliation of the information with available advertising data (step  306 ). In one embodiment, a data reconciliation engine may review the applicable information to determine products/services that align with the stocks and interests of the user. For example, the user may need to perform search engine optimization for her small business, the platform may determine during step  306  that the user also owns shares in an Internet search company. As a result, search engine optimization services available through the Internet search company may be presented to the user as her best option. The user may be obtaining a needed service while also being a patron of the company that she holds shares in. Where the user owns multiple stocks, equities, interests, or holdings in companies that offer applicable services, the platform may analyze which company may most benefit from increases in revenue based on the user&#39;s spending. In one embodiment, the platform may determine a portfolio of potential advertisements for goods and services associated with the user&#39;s stocks, equities, interests, and holdings. As a result, the advertisements may be readily available in real-time or near real-time. 
     Next, the platform creates targeted advertisements based on the information (step  308 ). The targeted advertisements may represent any number of advertisements displayed to the user including Internet advertisements, in-application advertisements, television/video/Internet Protocol Television advertisements, radio/Internet radio, print advertisements, and other forms of advertisements. In one embodiment 
     In one embodiment, the process of  FIG. 3  may begin in response to a selection made by the user to opt-in to targeted advertisements that benefit the user&#39;s interests rather than random advertisements. For example, the selection may involve the acceptance of financial or legal language utilizing a graphical user interface presented utilizing a web interface, mobile application, or so forth. The selection may be to receive targeted advertisements rather than generic advertisements or advertisements that are not associated with the user&#39;s stocks, holdings, and interests. In one embodiment, a profile associated with the platform may specify the companies, organizations, entities, or other groups that the user would like to support. In some examples, the various groups may represent stock, equity, interests, or holdings, but the groups may also represent companies associated with the user&#39;s friends or family. For example, if a family member is a pilot for a particular company, the user may choose to support that airline company by receiving targeted advertisements that benefit the airline directly or indirectly. The user profile referenced in step  330  may also include any number of settings, configurations, parameters, selections, releases, authorizations, verification requirements, or other information and data that controls how the user&#39;s data is utilized in accordance with the illustrative embodiments. The user referenced in  FIG. 3  may also refer to a group of people, entity, organization, associated persons, or so forth. The data may also be referred to as personal data, consumer data, private data, monetized data, authorized data, advertising data, or marketing data. 
       FIG. 4  is a flowchart of a process for utilizing targeted advertisements in accordance with an illustrative embodiment. The process of  FIG. 4  may be implemented with or as a separate process from of  FIG. 3 . In one embodiment, the process of  FIG. 4  may begin by determining a location or activity associated with a user (step  402 ). In one embodiment, one or more wireless devices associated with the user may be utilized to determine the location or activity of the user (e.g., smartphone, wireless earbuds, smartwatch, fitness tracker, gaming device, automotive GPS, etc.). The location and activities of the user may also be determined from any number of external devices, such as security systems (e.g., home, commercial, etc.), beacons, camera systems, radio frequency detectors, routers, cell towers, or other communications, computing, or advertising equipment, systems, and/or devices. The location and activities of the user may also be determined utilizing browsers, applications, or so forth. For example, the user may be browsing the Internet, playing a game, taking pictures on vacation, at the grocery store, walking the mall, at a sporting event, volunteering, or performing any number of activities. 
     Next, the platform determines whether a targeted advertisement is appropriate (step  404 ). The targeted advertisement may be appropriate based on location, activities/actions, user preferences, and so forth. There may be circumstances during which some or all targeted advertisements are not appropriate, such as selected no advertisements times, locations, or activities (e.g., funerals, vacation days, etc.). In one embodiment, the user preferences may specify how, when, and where specific targeted advertisements are shown to the user. The platform may also learn over time utilizing artificial intelligence or machine learning the types of locations, times, and activities during which it is inappropriate to display a targeted advertisement. 
     Next, the platform retrieves a targeted advertisement selected for the user (step  406 ). The targeted advertisement may be retrieved from a portfolio, queue, or other storage of advertisements. In one embodiment, the targeted advertisements may be pre-prepared for the user. As a result, the targeted advertisement may be selected based on previous processing of applicable information. The platform may have previously generated a matrix or database of products/services associated with the stocks, companies, interests, and holdings of the user. As a result, the best targeted advertisement may be selected for the user. In another embodiment, the targeted advertisements may be determined or generated in real-time. For example, the type of targeted advertisement may change based on the location, activity, or actions of the user. For example, advertisements for restaurants associated with the stock holdings of the user may be made based on the location of the user. For example, multiple restaurants as well as their associated specialties/themes/menus, reviews, location/directions, and contact information may be presented to the user. 
     Next, the platform presents the targeted advertisement to the user (step  408 ). The targeted advertisements may be presented to the user utilizing visual, audio, video, tactile, print, or other mediums. For example, Internet advertisements, in-application advertisements (e.g., YouTube, Facebook, games, Pandora, etc.), video, audio, and other advertisements may be presented to the user through available devices, systems, or equipment, such as smart televisions, wireless devices (e.g., cell phones, tablets, laptops, etc.), gaming devices, and so forth. In one embodiment, the user may be coached in real-time to select goods or services that have a benefit for their portfolio. Their portfolio may also support family, friends, charitable causes, or so forth. The targeted advertisements may give specific details to the user of how she is supporting her own portfolio by selecting to view or purchase specified goods and services. 
     In one embodiment, the targeted advertisements may be printed or generated in real-time for delivery or communication to the user. For example, print advertisements may be placed in a room where the user will be spending time (e.g., a conference room, hotel room, mass transit, taxi/Uber, or other location. The print advertisements may be generated on traditional paper, electronic paper that may be reused repeatedly, or other print or electronic print materials. 
     In one embodiment, the user may periodically be presented with goods/services that align with her stocks, holdings, and interests. The information may be presented as spreadsheets, marketing pieces/advertisements, summaries, and so forth. The presented information may be informational, data focused, visual, or advertising driven and may be presented electronically (e.g., e-mail, text messages, in-application messages, dedicated websites/preferences, videos, audio, etc.), printed, or otherwise sent. 
     The illustrative embodiments allow the user to collaborate their spending efforts for the benefit of their own portfolio. Rather than making random selections of goods and services, the user may make purchases that advance their own interests (including family, friends and charitable causes, where selected). Where the user has multiple potentially conflicting interests associated with competing goods and services, share information, performance information, or other details may be shared with the user. The user&#39;s portfolio may be applicable to mutual funds, index funds, hedge funds, pensions, and other investments. Special affiliations, discounts, remittances, and other relevant information may also be utilized by an algorithm or presented to the user. 
     The illustrative embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a “circuit,” “module” or “system.” Furthermore, embodiments of the inventive subject matter may take the form of a computer program product embodied in any tangible or non-transitory medium of expression having computer usable program code embodied in the medium. The described embodiments may be provided as a computer program product, or software, that may include a machine-readable medium having stored thereon instructions, which may be used to program a computing system (or other electronic device(s)) to perform a process according to embodiments, whether presently described or not, since every conceivable variation is not enumerated herein. A machine-readable medium includes any mechanism for storing or transmitting information in a form (e.g., software, processing application) readable by a machine (e.g., a computer). The machine-readable medium may include, but is not limited to, magnetic storage medium (e.g., floppy diskette); optical storage medium (e.g., CD-ROM); magneto-optical storage medium; read only memory (ROM); random access memory (RAM); erasable programmable memory (e.g., EPROM and EEPROM); flash memory; or other types of medium suitable for storing electronic instructions. In addition, embodiments may be embodied in an electrical, optical, acoustical or other form of propagated signal (e.g., carrier waves, infrared signals, digital signals, etc.), or wireline, wireless, or other communications mediums. 
     Computer program code for carrying out operations of the embodiments may be written in any combination of one or more programming languages, including an object-oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on a user&#39;s computer, partly on the user&#39;s computer, as a stand-alone software package, partly on the user&#39;s computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user&#39;s computer through any type of network, including a local area network (LAN), a personal area network (PAN), or a wide area network (WAN), or the connection may be made to an external computer (e.g., through the Internet using an Internet Service Provider). 
       FIG. 5  depicts a computing system  500  in accordance with an illustrative embodiment. For example, the computing system  500  may represent a device, such as one or more of the devices  101  of  FIG. 1 . The computing system  500  includes a processor unit  501  (possibly including multiple processors, multiple cores, multiple nodes, and/or implementing multi-threading, etc.). The computing system includes memory  507 . The memory  507  may be system memory (e.g., one or more of cache, SRAM, DRAM, zero capacitor RAM, Twin Transistor RAM, eDRAM, EDO RAM, DDR RAM, EEPROM, NRAM, RRAM, SONOS, PRAM, etc.) or any one or more of the above already described possible realizations of machine-readable media. The computing system also includes a bus  503  (e.g., PCI, ISA, PCI-Express, HyperTransport®, InfiniBand®, NuBus, etc.), a network interface  505  (e.g., an ATM interface, an Ethernet interface, a Frame Relay interface, SONET interface, wireless interface, etc.), and a storage device(s)  509  (e.g., optical storage, magnetic storage, etc.). The system memory  507  embodies functionality to implement embodiments described above. The system memory  507  may include one or more functionalities that store content, blockchain data, parameters, application, user profiles, and so forth. Code may be implemented in any of the other devices of the computing system  500 . Any one of these functionalities may be partially (or entirely) implemented in hardware and/or on the processing unit  501 . For example, the functionality may be implemented with an application specific integrated circuit, in logic implemented in the processing unit  501 , in a co-processor on a peripheral device or card, etc. Further, realizations may include fewer or additional components not illustrated in  FIG. 5  (e.g., video cards, audio cards, additional network interfaces, peripheral devices, etc.). The processor unit  501 , the storage device(s)  509 , and the network interface  505  are coupled to the bus  503 . Although illustrated as being coupled to the bus  503 , the memory  507  may be coupled to the processor unit  601 . 
       FIG. 6  is a pictorial representation of a targeted advertisement  600  in accordance with an illustrative embodiment. The targeted advertisement  600  may be presented in a paper, brochure, newspaper, e-paper, digital format, or other hard copy, digital or virtual format. The targeted advertisement  600  may be communicated, presented, or played by a wireless device, cell phone, tablet, e-reader, virtual device, gaming device, heads-up display, projection, hologram, or other applicable device in a visual, audio, and/or tactile format. 
     In one embodiment, the targeted advertisement  600  may present personal information, such as the name of the user, company, organization, entity, family, or other individual or group that the targeted advertisement  600  is addressed to. For example, the targeted advertisement  600  may include a name or other personal information (e.g., username, need, last name, nickname, etc.) where authorized, permitted, legal, or approved by the user. 
     The content in the targeted advertisement  600  may be generated based on the information determined (see  FIG. 3 ). For example, the targeted advertisement  600  may be generated for a provider that provides goods, products, and/or services of interest to the user, such as promotional videos, search engine optimization (SEO), webpage optimization, and marketing/digital consulting. 
     The targeted advertisement  600  may communicate information regarding any number of goods and services. As previously noted, the targeted advertisement  600  may be generated based on permissions, settings, user profiles, authorizations, or other applicable information. As noted, the utilization of the targeted advertisement  600  as well as any applicable monetization may be tracked utilizing blockchain information and data. 
     The features, steps, and components of the illustrative embodiments may be combined in any number of ways and are not limited specifically to those described. In particular, the illustrative embodiments contemplate numerous variations in the smart devices and communications described. The foregoing description has been presented for purposes of illustration and description. It is not intended to be an exhaustive list or limit any of the disclosure to the precise forms disclosed. It is contemplated that other alternatives or exemplary aspects are considered included in the disclosure. The description is merely examples of embodiments, processes or methods of the invention. It is understood that any other modifications, substitutions, and/or additions may be made, which are within the intended spirit and scope of the disclosure. For the foregoing, it can be seen that the disclosure accomplishes at least all of the intended objectives. 
     The previous detailed description is of a small number of embodiments for implementing the invention and is not intended to be limiting in scope. The following claims set forth a number of the embodiments of the invention disclosed with greater particularity.