Patent Grant
11587154
The present disclosure is generally related to multi-level commission payment systems and methods. More specifically the present disclosure is directed to providing commissions, referral, and/or finder fees to purchases made by related users.
A Multilevel marketing (MLM) commission payment system is a sales methodology used by some direct sales companies, which may be used to encourage existing distributors to recruit new distributors who are paid a percentage of their recruits' sales. The recruits are “downline” of the distributors. Distributors also make money through direct sales of products to customers. Amway, which sells health, beauty, and home care products, is an example of a well-known direct sales company that uses multilevel marketing.
Multilevel marketing (MLM) has been found to be a legitimate business sales methodology if participants receive something of value for their participation in an MLM organization. Even though Amway has a pyramid like structure where sponsors may receive more benefits than new recruits, Amway been judged to be a legitimate organization because all participants receive the benefit of purchasing products at a competitive price. One problem with some MLM organizations referred to as “pyramid schemes” is in instances where new recruits do not receive any benefit based on just joining the MLM organization. One characteristic of an MLM “pyramid scheme” versus a legitimate MLM organization is that in a “pyramid scheme” participants receive benefits based primarily from signing up other new recruits. Thus, money received from the new recruits only pays people above them or at the top of the organization rather than new recruits or others who actually perform work (e.g., the selling of products). As such, a “pyramid scheme” is also characterized by paying sponsors rather than individuals that perform the work. This is why “pyramid schemes” are illegal. These “pyramid schemes” involve taking advantage of people by pretending to be engaged in legitimate multilevel or network marketing activities when their greater focus is on recruitment rather than on product sales.
One issue in determining the legitimacy of a multilevel marketing company is whether it sells its products primarily to consumers or to its members who must recruit new members to buy their products. If it is the former, the company is likely a legitimate multilevel marketer. If it is the latter, it could be an illegal pyramid scheme.
Each MLM company dictates its own specific financial compensation plan for the payout of any earnings to their respective Distributors. Compensation is exclusively in the form of commissions that require a participant to enter a contract, pledging exclusivity in participation to the MLM company paying the commissions. A new recruit by contract, is expressly prohibited from joining, recruiting for another MLM, and offering alternative goods or services from any other MLM Company.
MLM compensation plans theoretically pay out to participants only from two primary possible revenue streams. The first is paid out from commissions of sales made by the participants directly to their own retail customers. Retail customers are not tracked or known by the MLM company therefore MLM companies cannot substantiate either their existence or their sales volume individually or collectively. The second is paid out from commissions based upon the wholesale purchases made by other distributors below the participant who have recruited those other participants into the MLM; in the organizational hierarchy of MLMs, these participants are referred to as one's downline distributors.
MLM salespeople (distributors) are, therefore, expected to sell specific MLM company products directly to end-user retail consumers by means of relationship referrals and word of mouth marketing, but most importantly they are incentivized to recruit others to join the company's distribution chain as fellow salespeople so that these can become downline distributors.
Currently, no large financially successful MLM salesperson (distributor) can earn commissions of any significance or take full advantage of a commission compensation plan without personally recruiting others into their downline.
All MLM compensation companies permanently place new recruits in a tree structure for calculating commissions. Once placed, all sales made by that distributor from their personal purchases, or from new recruits they sponsor, generate commissions only for their sponsor and upline, regardless of all future products sold.
MLM companies offer goods or services offered specifically and exclusively by them. The large markups required for payment of commissions necessitate MLM companies to limit what products they can offer such that they will be financially indifferent regarding which product a distributor chooses to buy.
MLM companies currently require a “pay to play” requirement. Distributors are required to make monthly purchases, and/or meet downline group sales volumes to qualify for commissions. Thus, the mode, median and average purchase size of a Distributor in MLMs is virtually equal to this minimum qualification requirement and no greater.
Distributors only qualify for commissions if they have purchased a minimum threshold of products offered exclusively by the MLM company as set forth by an MLM company's commission program rules.
Currently, in order to join an MLM organization, there is an initiation fee, which may be a barrier against those that just wish to refer a single product offered by the MLM company. Current multi-level marketing (MLM) systems do not take full advantage of the internet and how consumers can influence other consumers to make purchases. Also, current MLM systems do not incorporate incentivizing users of a multilevel marketing system by offering a dynamic commission tree. In addition, there is no current MLM system that utilizes the money or funds dedicated to discounts or coupons to be reincorporated into a multilevel marketing system to incentive consumers to make purchases and advertise the product that they purchased.
Currently, a company that is not utilizing an MLM structure for paying commissions for sales, cannot introduce one without developing a compensation plan specific for their company, following the methodology outlined above, and thus requiring them to become and subsequently adhere to applicable MLM law.
Thus, there is a need to provide any company an opportunity to compensate consumers in the way of commissions, referral, and/or finder fees without being subject to MLM law.
Further, there is currently no systematic way for consumers to promote any brand of preference outside the MLM industry and be paid in an MLM commission methodology without subjecting themselves to a contractual signup, initiation fees, minimum recurring purchases sales volume requirements, recruiting, exclusivity and permanent tree placement (resulting in only upline Distributors earning commissions). Many MLMs do not allow direct buying from an online store, but instead require buying to occur through other members.
A buyer purchases a product that is registered with an administration network. The buyer then automatically becomes a user (user A) of the administration network. The administration network generates a code (code A) that is associated with user A. The code is embedded in a hyperlink that links to a redirect page controlled by the administration network. The redirect page will then redirect the hyperlink with embedded code A to an online store. A second buyer is directed to the online store via the hyperlink and purchases the product from the online store. The second buyer also automatically becomes a user (user B) of the administration network. The user A is awarded commission because user B used the hyperlink containing code A. The administration network generates different code (code B) that is associated with user B and with code A. The code is embedded in a hyperlink that links to a redirect page controlled by the administration network. The redirect page will then redirect the hyperlink with embedded code B to the online store. A second buyer is directed to the online store via the hyperlink and purchases the product from the online store. The third buyer also automatically becomes a user (user C) of the administration network. Both user A and user B are awarded commission because use C used the hyperlink containing code B, which is associated with code A. The administration network generates different code (code C) that is associated with user C and code B.
Alternatively, a computer that is part of an administration network receives a notification that a buyer has purchased a registered product. The computer then identifies the buyer as a user (user A). The computer generates a code (code A) that is associated with user A. The computer embeds code A in a hyperlink which will link a web browser to a redirect page controlled by the computer. The computer causes the redirect page to redirect the web browser to an online store. When product is purchased from the online store the computer will receive a notification that includes the purchased product and code A. The computer receives a notification that another buyer has purchased the same product, and the notification includes code A. The computer then identifies the second buyer as a user (user B). The computer awards commission to user A because the notification included code A. The computer generates a different code (code B) that is associated with user B and code A. The computer embeds code B in a hyperlink which will link a web browser to a redirect page controlled by the computer. The computer causes the redirect page to redirect the web browser to the online store. When product is purchased from the online store the computer will receive a notification that includes the purchased product and code B. The computer receives a notification that another buyer has purchased the same product, and the notification includes code B. The computer then identifies the third buyer as a user (user C). The computer awards commission to both user A and user B because the notification included code B, which is associated with code A. The computer generates a different code (code C) that is associated with user C.
The present disclosure is directed to a system and method to allow sellers of products to enroll an individual product in a multilevel marketing (MLM) type commission system [system], where a good or service [product] is offered by any vendor and sold to a first purchaser—who at the time of the purchase becomes a system user. This user has a code tied to the specific product(s) offered by the participating vendor. The code is shared by this first user passively (by a purchase) or actively (by request) to the new buyer. The code share makes the new buyer a user of the system. The new user, like the first, will be allowed to purchase the product and provide advertisements to other purchasers. Commissions paid to respective downline purchasers for a single product may be limited by a preset number of defined levels. After a product is purchased, commissions are paid out to each respective purchaser according to the defined commission levels.
An administration network computer, as shown in
A memory, as shown in
Use of the system may be as follows. A user connects a user device 140 to the communication network 190 via the user device communication interface 150. Through the communication network 190 the user device 140 connects with the third party network computer 160 via the third party network communication interface 170. A set of third party network discount program instructions 180 allow the user to purchase a product from the third party network computer 160 and apply a discount to the product if a user has a code. Confirmation of the purchase and the code are then sent from the third party network computer 160 to the administration network computer 110. If the user did enter a code, a set of administration network commission program instructions 120 will pay commission to at least another user that is associated with the code. A new code is then generated by the administration network 110 per the administration network commission program instructions 120. The new code is associated with the user of the user device 140. The commission and the newly generated code are stored in the administration network administration database 130. The redirect program instructions 125 may be executed at the administration network computer 110 to redirect web browsing software from a redirect page to a landing page for the product associated with the generated code. The administration network computer may execute a set of online store program instructions 135 which may create a URL for a webpage associated with the product on the online store website 195. The redirect page may then instead redirect to the online store webpage associated with the product instead of the default landing page.
Program code instructions of the administration network computer 110 may be organized as one or more software modules that include instructions for performing different functions. For example, a set of commission program instructions 120 may include base program instructions, advertising program instructions, calculation program instructions, and vendor program instructions. the administration network computer 110 may also access one or more databases, such as a compensation database that stores compensation data and a code database that stores program code or web link data, for example. The administration network computer 110 may accept sellers (third parties), where a “single product tree” multi-level marketing method is formed, comprising the steps of, providing at least one product, providing an MLM system with a seller's commission structure, and providing at least one seller of a product with its associated commission structure. The term “single product tree” refers to a unique structure for associating distributors of an MLM organization where products are used to identify relationships between distributors and commissions paid to related distributors. This “single product tree” structure allows for a particular user to be considered a sponsor or any other user based on that user sending promotions to other users to purchase a product that those other users were not previously associated with.
The administration network computer 110 may also provide a plurality of buyers/distributors, allow the at least one first seller to enroll a product to the MLM system, and allow at least a first buyer/distributor to purchase the product. Other functions that may be performed by the administration network computer 110 include allowing the at least the first buyer/distributor to advertise the product to other potential buyers/distributors and allowing at least a second buyer/distributor to buy the advertised product. Here the seller may set a commission structure for a product, may enroll the product into the MLM system, may allow the first, second and so on purchasers/distributors to purchase and advertise the product.
Once products have been enrolled with a commission structure, the administration network computer 110 may allow the purchasers/distributors to receive a commission based upon the seller's product commission structure. A distributor may refer to the non-salaried workforce selling the company's products or services. Here the earnings of the participants may be derived from a pyramid-shaped or binary compensation commission system. The term product may refer to articles or substances manufactured or refined for sale. Product may refer to an individual product, a line of products such as unique brand and model of drill, or a group of products such as all power tools. A service may refer to a system supplying a public need such as transport, communications, or utilities such as electricity or water.
A service which may be an act of dealing with a customer in a store, restaurant, or hotel by taking their orders, showing, or selling them goods. Additionally, a service which may be work that someone does or time that someone spends working for an organization, or a business that offers a particular type of help or work. The system 100 of
In another example, a first MLM distributor that performs a sale may receive a higher percentage than a second distributor that sponsored the first distributor, and a third distributor that signed up the second distributor may receive a lower commission than the commission received by the second distributor for the sale. Distributors in an MLM tree may be referred as “downline” or “upline” distributors depending on where different users rank on the MLM tree. For example, a first user that sponsors a second user is “upline” from the second user and the second user is “downline” from the first user in the MLM tree. Furthermore, any user/distributor that the second user sponsored would be considered downline from the second user and could be downline from the first user as well for a given MLM product tree. When a “single product tree” structure is used to identify commissions, users that are downline from the second user may not be downline from the first user based on the second user purchasing and advertising products not associated with the first user. When the first user purchases the product initially advertised by the second user, the second user may be considered upline of the first user after the first user for this product. Because of this, the second user is not relegated to always be downline from the first user just because the first user originally sponsored the second user to become an MLM distributor.
An MLM system which may be referred to as network marketing, may be a business model that depends on person-to-person sales by independent representatives, who may work from their home. A network marketing business may require the independent representatives to build a network of business partners or salespeople to assist with lead generation and closing sales. End of life of MLM tree may refer to the end of the MLM tree in which the commission tree may be restructured or eliminated. For example, further participants in the MLM may not receive a commission, the commission tree may “startup” (be reinitiated from a starting point) again, or the commission tree may be restructured in some other way. An existing MLM system may refer to currently existing or established companies that use the sales strategies to encourage existing distributors to recruit new distributors who are paid a percentage of their recruits' sales.
The administration network computer 110 may perform data security functions as well as functions associated with operation of an MLM algorithm that may calculate user compensation. Administration network computer 110 may be able to connect to a software application store, like the “Apple App Store,” where a program application can be downloaded from. Data security may refer to the process of protecting data from unauthorized access and data corruption throughout its lifecycle. Data security may include data encryption, tokenization, and key management practices that protect data across all applications and platforms. An MLM algorithm may refer to a calculation performed using a compensation decay rate to calculate the commissions for downline participants.
The commission program instructions 120 of
An upline may refer to the MLM distributors that recruits work for as salespeople to sell the products or services. A downline may refer to the recruits the MLM distributors are able to secure as participants in the MLM system. Downline MLM trees may go across country boundaries and commissions may be paid out for an MLM tree even though the participants in the MLM tree may not reside in the same country. The commissions may be calculated for the appropriate exchange rate to ensure participants are paid in their residing countries currency in the correct amount.
A processor executing the commission program instructions 120 of
The processor at the administration network computer 110 may also associate a code for each of the different spheres of influence. The administration network computer 110 may then extract a corresponding commission for the code that was retrieved from in the administration network compensation database. The administration network computer 110 may then send the commission to the user (purchaser/distributor). The administration network computer 110 may track profits and payments as well as track taxes for users enrolled in the MLM system. The tracking of profits and payments may refer to the MLM system tracking the profits of the MLM and tracking the payments or commissions paid out to participants. The tracking of taxes may refer to tracking the commissions provided to participants for tax purposes. Then the administration network computer 110 may also compare the extracted code to data stored at an administration network code database a list of users and code sent to followers may be stored. This administration network code database may be the same database as the administration database 130 of
The administration network computer 110 may then compare the extracted sphere of influence or potential purchaser/distributor to data stored at the administration network compensation database. The administration network computer 110 may then use the extracted sphere of influence data to extract a corresponding commission from the administration network compensation database. The administration network computer 110 may then send the commission to an upline user. If the user did not enter a code, the administration network computer 110 may then initiate a set of administration network advertising program instructions.
The redirect program instructions 125 of
The administration database 130 may store data received from various third parties (various sellers) that are part of a set of MLM trees. This data may contain a product ID, description of the item, an original cost of the item, a discount for the item, a cost of the product with the discount, a compensation plan decay rate, and a link to the item. An advertising link may refer to a link that directs a consumer to a product, service or good.
Table 1 table displays data that may be stored at the administration database 130 of
The administration database 130 may store data that the administration network computer 110 may access when communicating events with the downlines and uplines, providing dynamic incentives or rewards for a product, distributing marketing materials, providing banking referrals, or distributing materials for suggestive selling, etc. Here, communicating events with downlines and uplines may refer to sending information relating to advertising events to participants of an MLM system. Dynamic incentives and rewards for a product may refer to incentives or rewards that are continuously updated for a product. Marketing materials may refer to a means of marketing, advertising or promotional materials developed by or for license (or subject to licensee's approval) that promote the sale of the licensed product, including but not limited to, television, radio and online advertising, point of sale materials (e.g., posters, counter-cards), packaging advertising, print media and all audio or video media. Banking referrals may refer to a structured flow of collecting and organizing referrals for banks. Businesses who have been unsuccessful in a credit application process with a bank may be asked for their permission to have their financial information passed to designated finance platforms who can contact the business in a regulated timeframe. Suggestive selling may refer to a sales technique where an employee asks a customer if they would like to include an additional purchase or recommends a product which might suit the client.
The online store program instructions 135 of
As mentioned above user device 140 may include a memory, a processor, and a communication interface 150. The processor of user device 140 may execute instructions out of the memory when a user of user device 140 registers as a member of an MLM organization. Other tasks that a user may perform on user device 140 could include, identifying or connecting with other user devices (e.g., follower user devices), preparing advertisement information to share with follower user devices, receiving advertisement information prepared by other users, accessing product promotions at the third party network computer 160, and purchasing products based on offerings received from the third party network computer 160. Each of the tasks performed by user device 140 may include sending and receiving communications with the administration network computer 110, the third party network computer 160, or other user devices. Promotions prepared at a particular user device may be shared with other user device via administration network computer 110, third party network computer 160, a social media network computer, or directly from one user device to another. User devices may also be required to download and install an application program from an application store, such as the “Apple App store” as part of a process for registering as a member of an MLM organization.
The user device communication interface 150 of
As discussed above the third party network computer 160 of
Payment may or may not be made online. Business in this context may be defined as an order placed by the buyer or price and terms of sale negotiated. E-commerce shopping cart may refer to a software used in E-commerce to assist visitors to make purchases online. Upon checkout, the software calculates the total of the order, including shipping and handling, taxes and other parameters the owner of the site has previously set. Retailer may refer to a person or business that sells goods to the public in relatively small quantities for use or consumption rather than for resale. Product discounts may refer to a reduce price or something being sold at a price lower than that product is normally sold for. It is a reduction to a basic price for a good or service. Large box stores may refer to a physically large retail establishment, usually part of a chain of stores, offers a variety of products to its customers. The term sometimes refers, by extension, to the company that operates the store, and which may be referenced as a supercenter, superstore, megastore, etc. These stores achieve economies of scale by focusing on large sales volumes. Because volume is high, the profit margin for each product can be lowered, which results in very competitively priced goods. The term “big-box” is derived from the store's physical appearance.
The third party network communication interface 170 of
The third party network discount program instructions 180 of
The communications network 190 of
The online store website 195 of
The commissions may be calculated by using the discount on the product and providing 50% of the discount to the user who supplied the code and then the remaining amount of the discount for the upline users at a 50% decay rate. For example, if the first user purchased a product that was originally $59.00 discounted by 15%, then a second user makes a purchase with the first user's code would receive $3.32 or 50% of the discount. Then any follower of the second user who uses the second user's code would cause the second user to receive 50% of the discount and the first user to receive 50% of the remaining discount or 50% of $3.32, and this may continue until there is only one cent left to pay out as a commission for the upline users. The threshold at which commission stops may be greater or less than one cent and may be set dynamically. This step may be facilitated by administration network calculation program instructions stored in memory and executed by a processor. Then, the administration network computer 110 may distribute the commission to the upline users, at step 250. Commission may be paid directly to a user via the user device 140 of
A set of administration network base program instructions may instruct the administration network computer 110 to connect to the third party network computer 160, initiate a set of vendor program instructions and initiate a set of calculation program instructions.
A set of administration network calculation program instructions which may be initiated by operation of the administration network base program instructions may instruct the administration network computer 110 to extract the discount received from the third party network computer 160 as well as the compensation plan or commission plan (e.g. its decay rate or commission structure so that each downline gets less and less commission) in order to identify the commissions for the MLM (Multi-Level Marketing) tree. Once identified, this commission data may be stored data in a database at the administration network computer 110 of
Functioning of the calculation program instructions may be as follows. The process may begin with operations of the administration network base program instructions initiating the administration network calculation program instructions. The administration network computer 110 may then extract the discount from the administration network administration database 130, which may be received from the third party network computer 160. Then the administration network computer 110 may extract the compensation plan decay rate from the administration network administration database 130. The administration network computer 110 may then determine the commissions available to the downline users, or the followers of the user that purchased the item.
The commissions may be calculated by using the discount on the product and providing 50% of the discount to the first participant and then the remaining amount of the discount for the downline users at a 50% decay rate. For example, if the first user purchased a product that was originally $59.00 discounted by 15%, the first user to make the purchase would receive $3.32 or 50% of the discount. Then any follower of the user who made the initial purchase would receive 50% of the remaining discount or 50% of $3.32, and this may continue until there is only one cent left to pay out as a commission for the downline users. Then the administration network computer 110 stores the data in the administration network compensation database. The administration network computer 110 sends a request to the user device purchase program instructions for the data stored in the user device user database. Then the administration network computer 110 may receive the user device user database data from the user device 140. The administration network computer 110 may store the received data, as well as the code data, in the administration network code database. The administration network computer 110 may then return to executing the administration network base program instructions.
A set of administration network advertising program instructions, which may be initiated by operation of the administration network commission program instructions 120, may determine the user's sphere of influence or contact list in order to provide the user's potential downline purchasers/distributors with a link and a code for the potential downline purchasers/distributors to become part of the MLM Tree Functioning of the advertising program instructions may be as follows. The process may begin with operation of the administration network commission program instructions 120 causing the administration network computer 110 to initiate the administration network advertising program instructions. The administration network computer 110 then determines if the user entered a code. If it is determined that the user entered a code the code is extracted. The administration network computer 110 compares the extracted code to the administration network compensation database.
The administration network computer 110 then may determine the user's sphere of influence level. If it is determined that the user did not enter a code, then the administration network computer 110 sets the user as the “First Participant”. Then the administration network computer 110 extracts the code for the next sphere of influence level or potential purchaser/distributor to provide the user's followers with a code that would allow them to join the multi-level marketing tree. The administration network computer 110 then may send the code and the link to the product to the user device 140. A set of administration network vendor (those selling products) program instructions, which may be initiated by operation of the administration network base program instructions, may result in data being received from the third party network computer 160. The administration network computer 110 may then store the data in the administration network administration database 130, create a link for the item, send the link back to the third party network 160, and return to executing the administration network base program instructions.
Functioning of a set of vendor program instructions may be as follows. The process may begin with operation of the administration network base program instructions causing the administration network computer 110 to initiate the administration network vendor program instructions. The administration network computer 110 may then receive data from the third party network computer 160. This data may include a product to be enrolled in the MLM system, an original cost of the item, a discount provided by the third party, a cost of the product with the discount, a compensation plan decay rate, etc. Then the administration network computer 110 may create a link for the product for the third party network computer 160. A vendor may be a seller of a product, such as a retailer. The administration network computer 110 may then store the received data and the created link in the administration network administration database 130. The administration network computer 110 may then send the link to the third party network computer 160. The administration network computer 110 may then return to executing the administration network base program instructions.
An administration network compensation database, which may be created through operation of the administration network calculation program instructions, may store various commissions for the different product purchasers/distributors. Table 2 illustrates data that may be stored at a compensation database consistent with the present disclosure. The administration network computer 110 may extract discount information and a compensation plan decay rate to calculate the downline commissions for additional users. This discount, decay rate information, and the sphere of influence levels may be stored in the administration network compensation database discussed above. The administration network compensation database may store information that cross-references a third party, a product ID, product description, the compensation plan decay rate, the various sphere of influence levels, a commission for each sphere of influence level, and a code to be used by the user's followers to enroll in the MLM system 100 of
Table 3 illustrates data that may be store at an administration network code database. This data may identify the codes given to the product purchasers/distributors (users) for the product purchasers/distributors (user) to pass to their potential purchasers/distributors to advertise or promote a product that a user has purchased. The administration network code may also cross-reference a user ID with a product ID, a product name, a sphere of influence (/potential purchaser/distributor), and a code that may be shared with followers.
A set of instructions referred to as user device purchase program instructions may allow a user device to connect to the third party network computer 160, allow a purchaser/distributor to select a product and an associated link. This process may include, determining if the purchaser/distributor entered a code, and sending the link and code, if available, to the third party network computer 160.
A set of instructions referred to as purchase program instructions may cause the user device 140 to continuously poll for a request from the administration network computer 110 for user device user database data. The user device 140 may then receive a request from the administration network computer 110 for the user device user database data. Then the user device 140 may send the user device user database data to the administration network computer 110. The user device 140 may then connect to the third party network computer 160. Then the user may select a product from the third party network computer 160. The user may select a link from the third party network computer 160. Then the user device 140 if the user entered a code. If it is determined the user entered a code the user device 140 sends the code to the third party network computer 160. The user device 140 sends the user data to the third party network computer 160. The user data may be data to purchase the product such as name, address, billing information, etc. The user data sent to the third party network computer 160 may include information from a credit card system. A credit card system may refer to a system that allows cardholders to borrow funds with which to pay for goods and services with the condition that the cardholders pay back the borrowed funds, plus interest, as well as any additional agreed-upon charges.
A user device user database which may contain the user's (product purchasers/distributors) followers (sphere of influence) as well as the followers contact information for them to receive commissions on their purchases. A distributor contact list or followers may refer to the recruits or followers on social media that a distributor has secured to participate in their downline. The user device user database may include ratings and recommendations from the users. Rating and recommendation modules may refer to modules in which a company, entity, or person provides ratings and/or recommendations for products, goods, or services.
Table 4 displays data that may be stored at a user device user database. The data of table 4 cross-references user information with user follower information. The user device user database stores the user's ID, the followers user ID, codes provided to the followers, the follower's e-mail address, the follower's phone number, and the follower's address. The user device user database may store the follower's social media information such as user social media account information (Twitter, Instagram, Facebook, etc.). The user database may contain social media plug-ins for enhanced marketing or social media aggregators. Social media plug ins for enhanced marketing may refer to sharing content with other people through social media platforms, for example a share or like button. The user device user database may contain payment information such as bank accounts, credit card information, PayPal, Venmo, etc. A user ID or ID Enrollment may refer to a participant enrolling in an MLM product tree through an ID, which may be unique to each participant in the MLM system. Social media aggregators may refer to a tool that allows a person to collate posts and updates from many different social media feeds. It creates an organized view of social posts on a specific topic and are often used to display user-generated content on live social walls.
Operation of user device downline program instructions may cause the user device 140 to continuously poll to receive the code and link from the administration network computer 110 to allow the purchaser/distributor to pass the code and link to the user's followers stored in the user device user database. Functioning of the downline program instructions may be as follows. The process begins with the user device 140 continuously polling for the code and the link from the administration network computer 110. The user device 140 receives the code and the link from the administration network computer 110. The user device 140 provides a selection of the first follower in the user device user database. The user device 140 extracts the followers contact information stored in the user device user database. Then the user device 140 sends the code and link to the follower's contact information. The code and link may be shared on social media sites, such as Twitter, Instagram, Facebook, etc. This may allow the user's followers to receive the code and link based on communications that use one or more of these social media accounts. The user device 140 may then determine if there are more followers remaining in the user device user database. If it is determined that there are more followers stored in the user device user database, the user device 140 selects the next user stored in the user device user database. If the user device 140 determines that there are no more followers remaining in the user device user database, then the process ends.
The code may be retrieved from the administration network computer 110 via the third party network communication interface 170. Codes may be stored locally on the third party network computer 160 or in a third party network third party database accessible by the third party network computer. If the code is valid, the third party network computer 160 applies a discount to the item, at step 440. An amount associated with this discount may be retrieved by the administration network computer 110 via the third party network communication network interface 170. Discount amounts may be stored locally at a third party network database. The third party network computer 160 may then allow the user to finish placing the order for the item, at step 450 of
A third party network computer 160 may execute administration program instructions to cause the third party network computer to connect to the administration network computer 110, send the data for the items to be purchased, receive a link from the administration network computer 110, store the link in a third party network database, and return to executing a set of base program instructions. The process may begin with the third party network computer 160 administration program instructions being initiated by the third party network base program instructions. The third party network 160 may connect to the administration network computer 110 and then the third party network computer 160 may send third party network database data to the administration network computer 110. Then the third party network computer 160 may store the link in the third party network third party database.
Operation of a third party network discount program instructions 180 may include extracting a link sent by the user device 140 and comparing it to data stored at the third party network third party database. This may result in the identification of a corresponding discount for a selected item. This process may include identifying whether a user entered a code or not, after which a discount is applied, and the order is processed.
The process of applying a discount may begin by extracting the link received from the user. Then the third party network computer 160 may compare data included in the extracted link to data stored at the third party network database. The third party network computer 160 may then extract a corresponding discount from the third party network third party database. Then the third party network computer 160 may apply the extracted discount to the user's order. The third party network computer 160 may then determine if the user entered a code. If it is determined that the user did not enter a code the third party network computer 160 sends the user data to the administration network computer 110 without a code. If it is determined that the user entered a code the third party network computer 160 sends the code and the user data to the administration network computer 110. Next the third party network computer 160 may process the user's order.
A third party network third party database may store information about the items that may be purchased. This the third party network database may include local media for the product or service, where this local media may refer to the various types of media, such as photos, videos, text, sounds, haptics, online product descriptions, etc. for enhanced marketing.
Table 5 illustrates data that may be stored at a third party database. This data may include information about the items enrolled in the MLM system as well as a link created by execution of the administration network vendor program instructions. The third party network database may cross-reference a product ID, a product description, an original cost of the item, a discount provided by the third party for the item, a cost of the product with the discount, a compensation plan decay rate which the third party enters, and a link received from the administration network computer. The third party network third party database may include the rates of exchange for product returns, marketing materials, airline sky miles, etc. Product returns may refer to a process in which a customer or consumer takes previously purchased product, merchandise, or goods back to the retailer, and in turn receive a refund in the original form of payment, exchange for another product (identical or different), or a store credit.
The information about the product or service which may be advertisements to the network, or as seen on TV sales. Advertisements to the network may refer to the advertisement provided to the MLM system from the third party offering a product, good or service. These as seen on TV sales may refer to a generic nameplate for products advertised on television in the United States for direct response mail-order through a toll-free telephone number. Marketing materials may refer to a means of marketing, advertising or promotional materials developed by or for license (or subject to licensee's approval) that promote the sale of the licensed product, including but not limited to, television, radio, and online advertising, point of sale materials (e.g., posters, counter-cards), packaging advertising, print media and all audio or video media. Airline sky miles may refer to a loyalty program offered by airlines and/or credit cards. Typically, consumers accumulate a set amount of miles based on how much is spent on a ticket or a credit card and are also known as frequent flyer miles or travel points.
Table 6 illustrates data that may be stored at an online store database. The online store database may contain product IDs of products that can be sold through the online store website 195 and a URL which may link to an individual web page within the online store website 195. The online store database may also include descriptions, pictures, reviews, shipping options, or any other data that might be useful in building a product page for the item. The online store database may also store metrics that determine when a product should be removed from the online store, for example, total sales, sales rate, time on market, user rating, etc.
A set of e-shopping cart program instructions may work as follows. The process may begin with the online store website 195 initiating the e-shopping cart program instructions via a button that a visitor to the website can interact with, for example, a “buy now” or “add to shopping cart” button on the product page. The administration network computer 110 then may extract the product ID received from the product page which is coded into the page. The product ID may be dynamically retrieved from a database when the page is being accessed by a web browser. The e-shopping cart program instructions may use the page URL to get the product ID from the online store database. The administration network computer 110 may compare the extracted product ID to the administration database 130. The administration network 110 may extract the corresponding discount from the administration database 130.
The administration network computer 110 may then determine if the user used a code. If the user was directed to the online store website 195 via a hyperlink with an embedded code, then the code is automatically entered for the user, otherwise the user must enter a code manually to get a discount. If it is determined that the user used a code the administration network computer 110 may use the code in executing the commission program instructions. Even though the code is associated with one product, the online store website may allow the purchase of multiple products in one transaction. The commission program instructions may be configured to give commission for products purchased in the same transaction as the product associated with the code. Then the administration network computer 110 may apply the extracted discount to the user's order.
The user may be able to use the code for a different product ID, for example, if the user was directed to the site via a hyperlink, and then while browsing the online store website 195 decided to buy a different product then the one they were originally referred. The user may still be eligible for a discount and the referrer may still receive a commission. A referring user may receive a commission simply by referring a buyer to the online store website 195 for the first time. If it is determined that the user did not enter a code the administration network computer 110 may create a new code so that the user can refer others and may create a new user ID. If the user already has a user ID and the user ID is known then that ID will be used with the new code instead of a new user ID. The user ID may be known if the user is, for example, logged in, using a browser extension with their information, or using the same device as a previous session and the device's IP address or MAC address is known, or the user's browser has downloaded a cookie that has the user ID. The user may be able to retroactively change a newly generated user ID to match an existing user ID, in another embodiment the user ID may be associated with user's credit card information, which may be a 3rd party credit card or a credit card linked to a credit card system within the system, which may also provide other useful data metrics about consumers and may be used as another means of tracking referrals by requiring the use of an in-network credit card to receive a discount.
Then the administration network computer may process the user's order. The data for the user's order is stored in a database which the user may add or remove products until the user is ready to make a purchase. The user may sign up for automatic purchase of product consumables. For example, if the user wants to receive toilet paper every month, the administration network computer 110 may prompt the user for this option at checkout and would store the automatic purchased product's product ID in a database which may then be polled periodically by another module. When the automatic purchase term has renewed the e-shopping cart program instructions may be initiated by that other module without user input.
Table 7 illustrates data that may be stored at a landing page database. The landing page database may contain product IDs and a URL link to the associated landing page, most likely the webpage where the product can be purchased. This information may be provided by the third party. The product IDs may identify a product. Multiple products may be combined into one campaign and the database may contain a campaign ID.
The components shown in
Mass storage device 730, which may be implemented with a magnetic disk drive or an optical disk drive, is a non-volatile storage device for storing data and instructions for use by processor unit 710. Mass storage device 730 can store the system software for implementing embodiments of the present invention for purposes of loading that software into main memory 720.
Portable storage device 740 operates in conjunction with a portable non-volatile storage medium, such as a FLASH memory, compact disk or Digital video disc, to input and output data and code to and from the computer system 700 of
Input devices 760 provide a portion of a user interface. Input devices 760 may include an alpha-numeric keypad, such as a keyboard, for inputting alpha-numeric and other information, or a pointing device, such as a mouse, a trackball, stylus, or cursor direction keys. Additionally, the system 700 as shown in
Display system 770 may include a liquid crystal display (LCD), a plasma display, an organic light-emitting diode (OLED) display, an electronic ink display, a projector-based display, a holographic display, or another suitable display device. Display system 770 receives textual and graphical information and processes the information for output to the display device. The display system 770 may include multiple-touch touchscreen input capabilities, such as capacitive touch detection, resistive touch detection, surface acoustic wave touch detection, or infrared touch detection. Such touchscreen input capabilities may or may not allow for variable pressure or force detection.
Peripherals 780 may include any type of computer support device to add additional functionality to the computer system. For example, peripheral device(s) 780 may include a modem or a router.
Network interface 795 may include any form of computer interface of a computer, whether that be a wired network or a wireless interface. As such, network interface 795 may be an Ethernet network interface, a BlueTooth™ wireless interface, an 802.11 interface, or a cellular phone interface.
The components contained in the computer system 700 of
The present invention may be implemented in an application that may be operable using a variety of devices. Non-transitory computer-readable storage media refer to any medium or media that participate in providing instructions to a central processing unit (CPU) for execution. Such media can take many forms, including, but not limited to, non-volatile and volatile media such as optical or magnetic disks and dynamic memory, respectively. Common forms of non-transitory computer-readable media include, for example, a FLASH memory/disk, a hard disk, magnetic tape, any other magnetic medium, a CD-ROM disk, digital video disk (DVD), any other optical medium, RAM, PROM, EPROM, a FLASH EPROM, and any other memory chip or cartridge.
While various flow diagrams provided and described above may show a particular order of operations performed by certain embodiments of the invention, it should be understood that such order is exemplary (e.g., alternative embodiments can perform the operations in a different order, combine certain operations, overlap certain operations, etc.).
The functions performed in the processes and methods which may be implemented in differing order. Furthermore, the outlined steps and operations are only provided as examples, and some of the steps and operations which may be optional, combined into fewer steps and operations, or expanded into additional steps and operations without detracting from the essence of the disclosed embodiments.
The present application claims the priority benefit of U.S. provisional application No. 63/049,877 filed Jul. 9, 2020, the disclosure of which is incorporated herein by reference.
| Number | Name | Date | Kind |
|---|---|---|---|
| 6029141 | Bezos et al. | Feb 2000 | A |
| 6105001 | Masi | Aug 2000 | A |
| 6334111 | Carrott | Dec 2001 | B1 |
| 6691093 | Shell | Feb 2004 | B2 |
| 7359871 | Paasche et al. | Apr 2008 | B1 |
| 7584118 | Bellare et al. | Sep 2009 | B1 |
| 7668950 | Horowitz et al. | Feb 2010 | B2 |
| 7917402 | Rolf et al. | Mar 2011 | B2 |
| 8412629 | Masi | Apr 2013 | B2 |
| 8571944 | Frascino | Oct 2013 | B2 |
| RE45006 | Deaton et al. | Jul 2014 | E |
| 8996415 | Rollins et al. | Mar 2015 | B2 |
| 9043228 | Ross et al. | May 2015 | B1 |
| 9466075 | Carlson et al. | Oct 2016 | B2 |
| 9923927 | McClintock | Mar 2018 | B1 |
| 10726472 | Isaacson et al. | Jul 2020 | B2 |
| 11017420 | Aihara et al. | May 2021 | B2 |
| 11282101 | Cooper | Mar 2022 | B2 |
| 20010032145 | Cronin | Oct 2001 | A1 |
| 20020198779 | Rowen et al. | Dec 2002 | A1 |
| 20030204447 | Dalzell et al. | Oct 2003 | A1 |
| 20040010452 | LaCour | Jan 2004 | A1 |
| 20040093269 | Rubin | May 2004 | A1 |
| 20040103022 | Chilcoat et al. | May 2004 | A1 |
| 20040107267 | Donker et al. | Jun 2004 | A1 |
| 20050004837 | Sweeney | Jan 2005 | A1 |
| 20060047547 | Ekker et al. | Mar 2006 | A1 |
| 20060063515 | Alston | Mar 2006 | A1 |
| 20060235764 | Bamborough et al. | Oct 2006 | A1 |
| 20070219871 | Rolf | Sep 2007 | A1 |
| 20080033744 | Jones | Feb 2008 | A1 |
| 20080041938 | Wise | Feb 2008 | A1 |
| 20080077485 | Scrudato | Mar 2008 | A1 |
| 20080162304 | Ourega | Jul 2008 | A1 |
| 20080221992 | Bernstein | Sep 2008 | A1 |
| 20080221994 | Rutz et al. | Sep 2008 | A1 |
| 20080228595 | Hill et al. | Sep 2008 | A1 |
| 20090182637 | Roberts | Jul 2009 | A1 |
| 20090216645 | Oleen | Aug 2009 | A1 |
| 20090259547 | Clopp | Oct 2009 | A1 |
| 20090276305 | Clopp | Nov 2009 | A1 |
| 20090287555 | Faraee | Nov 2009 | A1 |
| 20100191550 | Hutson | Jul 2010 | A1 |
| 20100205051 | Yun | Aug 2010 | A1 |
| 20110047012 | Sherman | Feb 2011 | A1 |
| 20110099082 | Walker et al. | Apr 2011 | A1 |
| 20110137815 | Barnett et al. | Jun 2011 | A1 |
| 20110153740 | Smith et al. | Jun 2011 | A1 |
| 20110208572 | Ladd et al. | Aug 2011 | A1 |
| 20110231363 | Rathod | Sep 2011 | A1 |
| 20110288970 | Kidron et al. | Nov 2011 | A1 |
| 20110307478 | Pinckney | Dec 2011 | A1 |
| 20120010940 | Masi | Jan 2012 | A1 |
| 20120089454 | Chen | Apr 2012 | A1 |
| 20120150598 | Griggs | Jun 2012 | A1 |
| 20120158552 | Smith | Jun 2012 | A1 |
| 20120209722 | Plut | Aug 2012 | A1 |
| 20120245976 | Kumar et al. | Sep 2012 | A1 |
| 20120253986 | Chang | Oct 2012 | A1 |
| 20120310738 | Mesaros | Dec 2012 | A1 |
| 20130013420 | Bamborough et al. | Jan 2013 | A1 |
| 20130013439 | Smullen et al. | Jan 2013 | A1 |
| 20130041735 | Johnson et al. | Feb 2013 | A1 |
| 20130041781 | Freydberg | Feb 2013 | A1 |
| 20130110599 | Gonzales | May 2013 | A1 |
| 20130204672 | Campbell | Aug 2013 | A1 |
| 20130211891 | Daniel et al. | Aug 2013 | A1 |
| 20130231986 | Masi | Sep 2013 | A1 |
| 20130282455 | Houseworth et al. | Oct 2013 | A1 |
| 20130290172 | Mashinsky | Oct 2013 | A1 |
| 20130304585 | Atazky | Nov 2013 | A1 |
| 20140029921 | Warren et al. | Jan 2014 | A1 |
| 20140067677 | Ali et al. | Mar 2014 | A1 |
| 20140195316 | Vorotyntsev et al. | Jul 2014 | A1 |
| 20140344294 | Skeen et al. | Nov 2014 | A1 |
| 20140358665 | Gopalsamy et al. | Dec 2014 | A1 |
| 20140365350 | Shvarts | Dec 2014 | A1 |
| 20150019309 | Miskell | Jan 2015 | A1 |
| 20150066689 | Astore | Mar 2015 | A1 |
| 20150106185 | Cervenka et al. | Apr 2015 | A1 |
| 20150127438 | Wedderbum et al. | May 2015 | A1 |
| 20150170103 | Garg et al. | Jun 2015 | A1 |
| 20150199772 | Sherman | Jul 2015 | A1 |
| 20150206165 | Cummins et al. | Jul 2015 | A1 |
| 20150227972 | Tang | Aug 2015 | A1 |
| 20150302486 | Foufas | Oct 2015 | A1 |
| 20150341225 | Baarman et al. | Nov 2015 | A1 |
| 20160034936 | Bryant et al. | Feb 2016 | A1 |
| 20160034938 | Brown et al. | Feb 2016 | A1 |
| 20160092967 | Akbarpour et al. | Mar 2016 | A1 |
| 20160125443 | Merritt, Jr. | May 2016 | A1 |
| 20170024767 | Johnson et al. | Jan 2017 | A1 |
| 20170032450 | Jia et al. | Feb 2017 | A1 |
| 20170109771 | Sundman et al. | Apr 2017 | A1 |
| 20170109772 | Sundman et al. | Apr 2017 | A1 |
| 20180033062 | Taylor | Feb 2018 | A1 |
| 20180039993 | Rossi et al. | Feb 2018 | A1 |
| 20180040014 | Collomby | Feb 2018 | A1 |
| 20180053224 | McClave et al. | Feb 2018 | A1 |
| 20180075488 | Celik et al. | Mar 2018 | A1 |
| 20180096316 | Mendez | Apr 2018 | A1 |
| 20180189799 | Passantino | Jul 2018 | A1 |
| 20180276698 | Bryant, III | Sep 2018 | A1 |
| 20180293601 | Glazier | Oct 2018 | A1 |
| 20180293603 | Glazier et al. | Oct 2018 | A1 |
| 20180341945 | Welborn | Nov 2018 | A1 |
| 20180367629 | Slosar et al. | Dec 2018 | A1 |
| 20190005527 | Bryant et al. | Jan 2019 | A1 |
| 20190362438 | MacLaughlin | Nov 2019 | A1 |
| 20190370676 | Pinckney | Dec 2019 | A1 |
| 20200143407 | Postrel | May 2020 | A1 |
| 20200302464 | Suru | Sep 2020 | A1 |
| 20200364734 | Glazier et al. | Nov 2020 | A1 |
| 20210037008 | Swaminath et al. | Feb 2021 | A1 |
| 20210090154 | Michaelson et al. | Mar 2021 | A1 |
| 20210118033 | Coker et al. | Apr 2021 | A1 |
| 20210133160 | Craft | May 2021 | A1 |
| 20210350399 | Cooper | Nov 2021 | A1 |
| 20210350453 | Cooper | Nov 2021 | A1 |
| 20210374784 | Cooper | Dec 2021 | A1 |
| 20210374787 | Cooper | Dec 2021 | A1 |
| 20210374813 | Cooper | Dec 2021 | A1 |
| 20220012762 | Cooper | Jan 2022 | A1 |
| 20220027936 | Cooper | Jan 2022 | A1 |
| 20220027937 | Cooper | Jan 2022 | A1 |
| 20220027938 | Cooper | Jan 2022 | A1 |
| 20220027939 | Cooper | Jan 2022 | A1 |
| 20220027940 | Cooper | Jan 2022 | A1 |
| 20220027971 | Cooper | Jan 2022 | A1 |
| 20220253800 | Cooper | Aug 2022 | A1 |
| 20220253881 | Cooper | Aug 2022 | A1 |
| 20220253882 | Cooper | Aug 2022 | A1 |
| 20220253889 | Cooper | Aug 2022 | A1 |
| 20220261835 | Cooper | Aug 2022 | A1 |
| 20220261848 | Cooper | Aug 2022 | A1 |
| 20220327570 | Cooper | Oct 2022 | A1 |
| 20220358467 | Cooper | Nov 2022 | A1 |
| 20220366469 | Cooper | Nov 2022 | A1 |
| 20220391936 | Cooper | Dec 2022 | A1 |
| 20220398618 | Cooper | Dec 2022 | A1 |
| 20220398619 | Cooper | Dec 2022 | A1 |
| 20220398622 | Cooper | Dec 2022 | A1 |
| 20220405793 | Cooper | Dec 2022 | A1 |
| Number | Date | Country |
|---|---|---|
| 122027 | Aug 2022 | AR |
| 3 780 553 | Feb 2021 | EP |
| 2013084209 | May 2013 | JP |
| 20070106337 | Nov 2007 | KR |
| 20120109772 | Oct 2012 | KR |
| 202147200 | Dec 2021 | TW |
| 202201316 | Jan 2022 | TW |
| 202207121 | Feb 2022 | TW |
| 202209222 | Mar 2022 | TW |
| WO 2021226374 | Nov 2002 | WO |
| WO 2008019711 | Feb 2008 | WO |
| WO-2008019711 | Feb 2008 | WO |
| WO 2008143373 | Nov 2008 | WO |
| WO 2013020325 | Feb 2013 | WO |
| WO 2014102927 | Jul 2014 | WO |
| WO 2014194419 | Dec 2014 | WO |
| WO 2015171450 | Dec 2014 | WO |
| WO 2019204670 | Oct 2019 | WO |
| WO 2020012200 | Jan 2020 | WO |
| WO 2021226375 | Nov 2021 | WO |
| WO 2021243153 | Dec 2021 | WO |
| WO 2021243154 | Dec 2021 | WO |
| WO 2021243159 | Dec 2021 | WO |
| WO 2022011289 | Jan 2022 | WO |
| WO 2022011293 | Jan 2022 | WO |
| WO 2022011296 | Jan 2022 | WO |
| WO 2022011299 | Jan 2022 | WO |
| WO 2022011300 | Jan 2022 | WO |
| WO 2022011301 | Jan 2022 | WO |
| WO 2022011302 | Jan 2022 | WO |
| WO 2022011304 | Jan 2022 | WO |
| WO 2022165207 | Aug 2022 | WO |
| WO 2022165314 | Aug 2022 | WO |
| WO 2022165389 | Aug 2022 | WO |
| WO 2022204589 | Sep 2022 | WO |
| WO 2022204601 | Sep 2022 | WO |
| Entry |
|---|
| ⋅ Lindsay Kramer. How to Start an MLM Company. (Nov. 05, 2019). Retrieved online Nov. 4, 2021. https://bizfluent.com/how-6245111-start-mlm-company.html (Year: 2019). |
| ⋅ Kevin Geary. How to Make Money With Affiliate Marketing (Jun. 5, 2018). Retrieved online Nov. 4, 2021. https://digitalambition.co/affiliate-marketing/ (Year: 2018). |
| Edelman, Shimon; “Computing the Mind—How the Mind Really Works”, Oxford University Press, Copyright 2008, 55 pages. |
| Goffman, Erving; “Frame Analysis” Northeastern University Press, 1974, 55 pages. |
| Grier, David A.; “When Computers Were Humang”, Princeton University Press, copyright 2005, 36 pages. |
| Hayles, N. Katherine; “My Mother Was a Computer”, The University of Chicago Press, Copyright 2005, 49 pages. |
| Kuhn, Thomas S.; “The Structure of Scientific Revolutions”, The University of Chicago Press, Copyright 1962, Third Edition, 122 pages. |
| Lakoff, George and Johnson, Mark; “Metaphors We Live By”, The University of Chicago Press, Published1980, 66 pages. |
| Mindell, David A.; “Our Robots, Ourselves: Robotics and the Myths of Autonomy”. Copyright 2015, 16 pages. |
| Treffert, Darold; “Islands of Genius—The Bountiful Mind of the Autistic, Acquired, and Sudden Savant”, by Jessica Kingsley Publishers, 2010, 20 pages. |
| Van Dam et al., Koen H; “Agent-Based Modelling of Socio-Technical Systems”, Springer, vol. 9, 96 pages. |
| Wirth, Niklaus; “Algorithms + Data Structures = Programs”, by Prentice-Hall, copyright 1976, 77 pages. |
| PCT Application No. PCT/US2021/034760 International Search Report and Written Opinion dated Sep. 10, 2021. |
| PCT Application No. PCT/US2021/034767 International Search Report and Written Opinion dated Sep. 1, 2021. |
| U.S. Appl. No. 17/313,795 Office Action dated Oct. 6, 2021. |
| PCT Application No. PCT/US2021/031149 International Search Report and Written Opinion dated Aug. 6, 2021. |
| PCT Application No. PCT/US2021/034759 International Search Report and Written Opinion dated Aug. 23, 2021. |
| PCT Application No. PCT/US2021/031150 International Search Report and Written Opinion dated Aug. 23, 2021. |
| U.S. Appl. No. 17/313,783 Office Action dated Jul. 15, 2021. |
| PCT Application No. PCT/US2021/041141 International Search Report and Written Opinion dated Oct. 27, 2021. |
| PCT Application No. PCT/US2021/041149 International Search Report and Written Opinion dated Nov. 23, 2021. |
| PCT Application No. PCT/US2021/041152 International Search Report and Written Opinion dated Oct. 27, 2021. |
| PCT Application No. PCT/US2021/041156 International Search Report and Written Opinion dated Oct. 21, 2021. |
| PCT Application No. PCT/US2021/041157 International Search Report and Written Opinion dated Nov. 5, 2021. |
| PCT Application No. PCT/US2021/041158 International Search Report and Written Opinion dated Oct. 19, 2021. |
| PCT Application No. PCT/US2021/041160 International Search Report and Written Opinion dated Oct. 19, 2021. |
| PCT Application No. PCT/US2021/041162 International Search Report and Written Opinion dated Oct. 20, 2021. |
| U.S. Appl. No. 17/313,783 Final Office Action dated Oct. 22, 2021. |
| U.S. Appl. No. 17/332,891 Office Action dated Dec. 13, 2021. |
| U.S. Appl. No. 17/825,963, Fred Cooper, A Method for Setting Up User Created Storefronts Within a Product Tree Based Multi-Level Marketing System, filed May 26, 2022. |
| U.S. Appl. No. 17/700,900, Fred Cooper, System for Commissions for Multilevel Marketing, filed Mar. 22, 2022. |
| PCT/US2022/041160, Single Line Tree Creation by a Distribution for a Product Based Multi, Jul. 9, 2021. |
| U.S. Appl. No. 17/826,973, Fred Coopper, A Method for Credit Card Integration Within a Product Tree Based Multi-Level Marketing System, filed May 26, 2022. |
| U.S. Appl. No. 17/825,980, Fred Cooper, Method for Banking Integration Within a Product Tree Based Multi-Level Marketing System, filed May 26, 2022. |
| U.S. Appl. No. 17/706,106, Fred Cooper, Smart Link for Outside Network Input/Output, filed Mar. 28, 2022. |
| PCT/US2022/022162, Smart Link for Outside Network Input/Output, Mar. 28, 2022. |
| U.S. Appl. No. 17/706,150, Fred Cooper, Permissions for Retailer Types Within a Marketing System, filed Mar. 28, 2022. |
| U.S. Appl. No. 17/706,406, Fred Cooper, Incorporating Additional Blockchains Into a Multi-Level Marketing System Blockchain, filed Mar. 28, 2022. |
| U.S. Appl. No. 17/733,705, Fred Coopper, Incorporating Additional Blockchains Into a Multi-Level Marketing System Blockchain, filed Apr. 29, 2022. |
| PCT/US2022/022208, Incorporating Additional Blockchains Into a Multi-Level Marketing System Blockchain, Mar. 28, 2022. |
| U.S. Appl. No. 17/863,192, Fred Cooper, System and Method for Merging a Two or More Multi-Level Marketing System Into a Multi-Line Multi-Level Marketing System and Integrating a Product Tree MLM, filed Jul. 12, 2022. |
| Chmela, John; Social Media is the best tool over for Multi-Level Marketing, LinkedIn.com, dated Apr. 3, 2015, downloaded Feb. 9, 2022 from https://www.linkedin.com/pulse/social-media-best-tool-ever-multi-level-marketing-john-chmela (Year: 2015). |
| Doeing, Derek; What is Network Marketing? (+6 Business Questions to Ask Before Joining), G2.com, dated Jul. 26, 2018, downloaded from https://web.archive.org/web/20200503212907/https://learn.g2.com/network-marketing (Year: 2018). |
| Stephenson, Ben; “What are the Best Types of Products to Market in MLM?” Published Feb. 24, 2016 at https://www.linkedin.com/pulse/what-best-types-products-market-mlm-ben-stephenson. |
| PCT Application No. PCT/US2022/014354 International Search Report and Written Opinion dated May 3, 2022. |
| PCT Application No. PCT/US2022/014521 International Search Report and Written Opinion dated May 13, 2022. |
| PCT Application No. PCT/US2022/014638 International Search Report and Written Opinion dated Apr. 25, 2022. |
| PCT Application No. PCT/US2022/022162 International Search Report and Written Opinion dated Jun. 28, 2022. |
| U.S. Appl. No. 17/332,916 Office Action dated Feb. 17, 2022. |
| U.S. Appl. No. 17/332,891 Final Office Action dated Jun. 29, 2022. |
| U.S. Appl. No. 17/332,940 Office Action dated Apr. 15, 2022. |
| U.S. Appl. No. 17/313,795 Final Office Action dated Jan. 27, 2022. |
| U.S. Appl. No. 17/588,811 Office Action dated Aug. 12, 2022. |
| U.S. Appl. No. 17/372,134 Office Action dated Mar. 2, 2022. |
| U.S. Appl. No. 17/372,135 Office Action dated Apr. 11, 2022. |
| U.S. Appl. No. 17/372,139 Office Action dated Apr. 12, 2022. |
| U.S. Appl. No. 17/372,174 Office Action dated Aug. 18, 2022. |
| U.S. Appl. No. 17/372,198 Office Action dated Feb. 17, 2022. |
| Google.com search results for “franchise definition” (Year: 2022) [Downloaded on Sep. 22, 2022]. |
| PCT Application No. PCT/US2022/022208 International Search Report and Written Opinion dated Oct. 6, 2022. |
| U.S. Appl. No. 17/588,811 Office Action dated Jun. 30, 2022. |
| U.S. Appl. No. 17/589,821 Office Action dated Sep. 28, 2022. |
| Trauzold, Martin; “How To Add an Amazon Affiliate Link to My Website”, 2016. |
| PCT Application No. PCT/US2021/031149 International Preliminary Report on Patentability dated Nov. 8, 2022. |
| PCT Application No. PCT/US2021/031150 International Preliminary Report on Patentability dated Nov. 8, 2022. |
| PCT Application No. PCT/US2021/034759 International Preliminary Report on Patentability dated Nov. 17, 2022. |
| PCT Application No. PCT/US2021/034760 International Preliminary Report on Patentability dated Nov. 17, 2022. |
| PCT Application No. PCT/US2021/034767 International Preliminary Report on Patentability dated Nov. 17, 2022. |
| U.S. Appl. No. 17/587,777 Office Action dated Nov. 21, 2022. |
| U.S. Appl. No. 17/332,891 Final Office Action dated Jan. 10, 2023. |
| U.S. Appl. No. 17/332,940 Final Office Action dated Oct. 17, 2022. |
| U.S. Appl. No. 17/372,134 Final Office Action dated Nov. 21, 2022. |
| U.S. Appl. No. 17/372,135 Final Office Action dated Jan. 5, 2023. |
| U.S. Appl. No. 17/372,139 Final Office Action dated Oct. 17, 2022. |
| U.S. Appl. No. 17/825,980 Office Action dated Nov. 2, 2022. |
| U.S. Appl. No. 17/372,198 Final Office Action dated Dec. 23, 2022. |
| U.S. Appl. No. 17/706,483 Office Action dated Nov. 4, 2022. |
| Number | Date | Country | |
|---|---|---|---|
| 20220012799 A1 | Jan 2022 | US |
| Number | Date | Country | |
|---|---|---|---|
| 63049877 | Jul 2020 | US |
