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WO2015079460A1 - Système destiné à calculer une contribution et à fournir des incitations appropriées - Google Patents

Système destiné à calculer une contribution et à fournir des incitations appropriées Download PDF

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Publication number
WO2015079460A1
WO2015079460A1 PCT/IN2014/000741 IN2014000741W WO2015079460A1 WO 2015079460 A1 WO2015079460 A1 WO 2015079460A1 IN 2014000741 W IN2014000741 W IN 2014000741W WO 2015079460 A1 WO2015079460 A1 WO 2015079460A1
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WO
WIPO (PCT)
Prior art keywords
user
points
attributes
activity
activities
Prior art date
Application number
PCT/IN2014/000741
Other languages
English (en)
Inventor
Lucky GUPTA
Original Assignee
Gupta Lucky
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Gupta Lucky filed Critical Gupta Lucky
Publication of WO2015079460A1 publication Critical patent/WO2015079460A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history

Definitions

  • the field of the invention relates to, an apparatus to measure the Contribution of people or entities and to provide the dynamic generation and updating of the proper incentive, compensation to these users based on their actions/activities, details and involvement.
  • the numbers expressing quantities of ingredients, properties such as concentration, reaction conditions, and so forth, used to describe and claim certain embodiments of the invention are to be understood as being modified in some instances by the term "about.” Accordingly, in some embodiments, the numerical parameters set forth in the written description and attached claims are approximations that can vary depending upon the desired properties sought to be obtained by a particular embodiment. In some embodiments, the numerical parameters should be construed in light of the number of reported significant digits and by applying ordinary rounding techniques. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of some embodiments of the invention are approximations, the numerical values set forth in the specific examples are reported as precisely as practicable. The numerical values presented in some embodiments of the invention may contain certain errors necessarily resulting from the standard deviation found in their respective testing measurements.
  • inventive subject matter of the present disclosure provides systems and methods for computing CV/incentive points/ compensation points for a user by one or more service/product providing entities by dynamically evaluating and quantifying value of a user based on his/her actions, past data, events, user profile and attributes, impact of such actions/activities on the user and/or his contacts/relationships/social circle, among other like factors.
  • Systems and methods can also be configured to take into account several other parameters such as influence of the user on decision making of others, profile/personality of the user, social contribution, product purchase details, trend history; social network level interaction, recommendations, preferences, likes and dislikes among other like attributes in order to determine and dynamically change the type, nature, and volume of points/incentives to be given to the user.
  • system of the present disclosure is configured to compute and dynamically update incentive points allocated to a user based on his activities, social interaction pattern, behavior, purchase and activity history, purchase details, personality, profile, among many other parameters in order to achieve a realistic and accurate representation of his/her contribution to the promotion of a company/entity/organization.
  • companies can include but are not limited to retail companies, service providers, among many other business-to-business and business-to-consumer companies.
  • system of the present disclosure can include an economic contribution based point computation module, a social contribution based point computation module, an influence based point computation module, a promotion based point computation module, an action based point computation module, and a points aggregator module.
  • Economic contribution based point computation module can be configured to allocate points based on a user's economic contribution to the entity awarding the points, for instance by buying products from the entity.
  • Social contribution based point computation module can be configured to allocate CV points to a user based on social responsibilities undertaken by the user including activities such as usage of environment friendly products, writing blogs on positive thinking, undertaking work for non-government organizations (NGO's), reviewing a product doing social work. Undertaking such activities/actions may not have a monetary benefit but does benefit people in having a better environment to live in, thereby directly as well as indirectly influencing others in getting into better routines and doing well for themselves.
  • influence based point computation module can be configured to allocate CV points to one or more users based on the extent, mode, manner, and type of influence that they have created/generated for products of an entity.
  • influence of a user A on a user B to buy a product X from an entity Y can enable user A, who has not bought the product X himself/herself to still be allocated points based on the recommendation given by the user A to user B, thereby influencing the decision of user B.
  • A might have made a purchase and B's knowledge of this action might have influenced B to do the same and therefore A in this case too would be allocated certain points.
  • Such influences can, in one implementation, be generated based on multiple user actions including but not limited to comments on posts on a social networking website, liking of posts of a social media platform, sharing of articles/posts/blogs/product reviews/product description, among other parameters, which can generate and/or influence the decision of a potential purchaser and hence can be rewarded by the respective entity.
  • Type of relationship between users, common attributes between such relationships and people such as marital status and lifestyle factor, profile of each user, strength of such relationships between users, activities shared between users can also, individually or collectively, play a significant role in determining the kind of influence that one user can have on the decision of the other and hence the number of points of given by influence based point computation module can take into consideration all such factors.
  • promotion based point computation module can be configured to allocate CV points to a user based on the kind of promotional activities that he/she performs such as sharing product review with peers, colleagues, social networking with friends, commenting, likes, rating, pins, ranking, endorsing products, among other entities.
  • the extent and quantum of points can also be based on relevance of such sharing as sharing with friends having capacity to buy the product may yield more incentive points when compared with sharing with friends who are relatively financially weaker.
  • many other attributes such as time of sharing, location of users, promotion, product etc will help determine the true contribution value of a user.
  • action based point computation module can be configured to allocate CV points to a user based on the kind, extent, and type of activities undertaken by user. Such point allocate can also include deduction of the points based on say the negative reviews that the user writes about the product.
  • Profile of the user making the action such as attributes including physical, profession, personal, social, lifestyle, shopping details, habits, among others also play a significant role in allocation of points to the user. Proximity between two related actions along with complementing proximity can also play a significant role in enabling computation of points to be computed.
  • parameters including but not limited to earliness/promptness of reviewing or taking any action can also contribute to the type and extent of points/incentives that are awarded to users.
  • frequency of action, consistency of action, risk involved in the instant action, among other like attributes also enable optimal computation of the points for the respective users and other friends/users that contribute to the interaction with the entity awarding the points.
  • points aggregator module can be configured to, in realtime and dynamically, compute and update points allocated to a user based on his actions and activities at the very time they are performed, enabling an accurate representation of the contribution that the user makes to the entity in context. Points aggregator module can also be configured to take into consideration other environmental and allied commercial parameters that may or may not necessarily be based on direct actions taken by the user.
  • the entity allocating the points may be same as the company enabling users to interact socially with each other and/or offering products and services and therefore act as sellers, marketers, evaluators making it easier for the company to work as one smooth cohesive unit. In an alternative embodiment, entity allocating the points may be different from the company enabling users to interact socially with each other and/or offering products and services.
  • Figure 1 illustrates an architectural representation of an incentive generation system in accordance with an embodiment of the present disclosure.
  • Figure 2 illustrates a functional representation of an incentive computation system in accordance with an embodiment of the present disclosure.
  • Figure 3 illustrates an exemplary set of data that forms part of user profile in accordance with an embodiment of the present disclosure.
  • Figures 4a and 4b illustrate examples of incentive computation in accordance with an embodiment of the present disclosure.
  • Figure 5 illustrates exemplary types of incentives in accordance with an embodiment of the present disclosure.
  • Figure 6 is an exemplary mechanism for dynamically computing incentives in accordance with an embodiment of the present disclosure.
  • a server can include one or more computers operating as a web server, database server, or other type of computer server in a manner to fulfill described roles, responsibilities, or functions.
  • the various servers, systems, databases, or interfaces can exchange data using standardized protocols or algorithms, possibly based on HTTP, HTTPS, AES, public-private key exchanges, web service APIs, known financial transaction protocols, or other electronic information exchanging methods.
  • Data exchanges can be conducted over a packet-switched network, the Internet, LAN, WAN, VPN, or other type of packet switched network.
  • inventive subject matter provides many example embodiments of the inventive subject matter. Although each embodiment represents a single combination of inventive elements, the inventive subject matter is considered to include all possible combinations of the disclosed elements. Thus if one embodiment comprises elements A, B, and C, and a second embodiment comprises elements B and D, then the inventive subject matter is also considered to include other remaining combinations of A, B, C, or D, even if not explicitly disclosed.
  • Figure 1 is an architectural representation 100 of an incentive generation system 106 in accordance with an embodiment of the present disclosure.
  • Figure 1 illustrates an exemplary user 180, who can be an individual customer, client, person, seller, company or even an entity that is operatively coupled by means of one or more computing devices 102-a, 102-b, 102-c, ... 102-n, collectively referred to as computing devices 102 hereinafter, with the incentive generation system 106 through one or more user interface component(s) 104.
  • User interface component 104 can be configured to generate user interface display for the computing devices 102 used by the user 180.
  • the computing, processing and executing devices can be configured to enable user 1 80 to interact with other users, stakeholders, software, hardware and entities.
  • Such system and apparatus can include, but are not limited to, social networking systems such as Facebook, Twitter, Linkedln, among other like services.
  • Systems and/or products can also include entities that might like to issue incentives/points such as e-commerce services (amazon.com), travel, hospitality, restaurants, banks, financial products trading services, online service providers, malls and offline store sellers among other like entities.
  • the apparatus/system can also be combination of both social interaction platforms as well as retailing platforms for buying products/services in order to provide integrated solution.
  • Computing devices 102 can include, but are not l imited, to personal computers, laptops, tablet PC's, mobile phones, smart phones, smart watches, smart eyeglasses, cameras, audio recording devices, video recording devices, sensors, health monitoring devices, among other like devices, gadgets and sensors that can capture user actions, events, information, and either themselves process or transfer data for further processing of such captured information to appropriate devices. It would also be appreciated that the disclosure of the instant invention covers all types of online and offline, physically located business including for instance, running stores at malls etc.
  • the process and execution of generating CV within the apparatus is triggered in one of the following ways.
  • the user performs an action and the system/ apparatus realizing that an action has occurred, begins immediately the process of evaluating the CV for the user, and for the users who were either connected to the event through past actions or are currently or will eventually become involved as part of the action (event).
  • the system starts to evaluate CV for users on occurrence of certain events that a system is set to recognize.
  • system executes evaluation of CV for users periodically or at set times automatically.
  • the system (machines) once triggered run the action, its various implications and the connected users through an array of components and processes, across various servers, listed throughout the document in order to evaluate the different variables associated with the action in order to accurately determine CV.
  • All variables such as people, place, product and price are components of evaluation used to determine CV. Every action and event that occurs with relevance to a user is recorded into a database by the apparatus/system, along with all the pertinent information of people involved, places, actions, products, and rest of the details mentioned across the document along with other relevant system generated data. Every time the apparatus begins the process of generating CV, it refers to all the previous, present and projected pertinent data relevant to evaluating the CV, when necessary. The pertinent data, details such as person, place, and product among other things that is stored and recorded is mentioned throughout the document as parameters, attributes, components and details. All variable components such People, Place, Product, that are mentioned within the disclosure can be included as independent components or can be included into single units of multiple components. For instance multiple components working within one Assorted Component.
  • variable components such as People, Place, and Product are measured for generating CV in one of the following ways.
  • Proximity, Relevance is measured for all variable components such as People, Place, and Time among others to rightly determine CV.
  • the CV generated by the apparatus for a user can be processed in two ways. First, the CV generated for a user for his or her contribution is added into his CV account that accumulates and holds all the CV generated for that user in the database. Second, the CV in converted into instant incentive and user can collect the incentive immediately. Users who are holding CV in their accounts can redeem their CV either as per their convenience or as directed by the company at different times. [0038] In an embodiment, to determine Contribution Value Points accurately it is important for the apparatus to identify all the important criteria, parameters, factors, components, attributes, details, variables et cetera and their weightage upon which the true contribution is dependent.
  • Person A buys a product P for person B whose location is L3, through person C (location L5) by placing order at time Tl at location LI for price Rl , with delivery and packaging cost R2 and R3, with promotion (discount) Dl , so that the product is prepared and dispatched from L2 by time T2, to be delivered at location L3 to be delivered to B by time T3, and come through via L4, L5 where logistical partner is G l etc.
  • components are evaluated in conjunction to all others such as locations of all people, product, logistics, partners involved; time criteria for people, product, company, partners; product selected with respect to buyer, bought for, location, time, price, promotion; people criteria relationships proximities attributes agreements and contracts; promotional offers according to product, company, customer, location; pricing according to product, location, logistics, people, partners; etc.
  • All details, features, transactions, variables, components, occurrences, differences, matches, distinguishable information of an activity, its surroundings and circumstances, participating entities both tangible and intangible are used for computation of CV.
  • incentive generation system 106 of the present disclosure can be configured to include a plurality of components, which when executed over a processor 1 10 can implement dynamic allocation of points/incentives to one or more users based on their actions/activities. Such allocation can either be done in real-time or can also be performed periodically at defined time periods such as every 24 hours, 48 hours, and so on. Although few exemplary components have been disclosed in the figure 1 , any other suitable and appropriate component can be included within the scope of the instant disclosure, based on which incentive/points can be allocated to the user.
  • product purchase component 108 can be configured to allocate CV points based on details of actual purchases by the user 180 on the entity issuing the incentives. These incentives can be dividends, profit sharing etc. Actual purchases made by the user 180 can have an associated weight, which may, for instance, be higher than the weights associated with other activities/actions of users, based on which incentives are issued, as actual purchases make real and tangible contribution to the entity from whom the product has been purchased.
  • recommendation component 1 12 can be configured to enable CV to be allocated to a user based on the recommendation being made by the user.
  • Such recommendations can be both direct or indirect, intended or unintended (for instance: When a user plays a game automated notifications regarding this are sent to friends ), and can include sharing the product information with others, liking the product, product review, providing a positive rating/review, writing a post/article/blog/ messaging, among other like activities. As each activity may have a varying impact on the promotion of the product, the quantum of incentives being allocated can differ based on the type, mode, and extent of recommendation being made.
  • a "like" on a post may have a lower weight when compared with a separate post being written by a user, and therefore more points can be al located to a user for writing a positive review.
  • a user sharing product information may get a different set of incentive points.
  • system 106 can include a social contribution component 1 14, wherein CV is given to a user based on social initiatives taken by the user, for instant by using environment friendly products, sharing a joke, writing an article, answering technical or non-technical questions of various other users, putting helpful content, reviewing a product for other users assistance and easier decision making, doing social work, among other such actions.
  • CV is given to a user based on social initiatives taken by the user, for instant by using environment friendly products, sharing a joke, writing an article, answering technical or non-technical questions of various other users, putting helpful content, reviewing a product for other users assistance and easier decision making, doing social work, among other such actions.
  • Proper eating, workout, sleep among other factors that help people stay healthy, not only do the person do themselves good, but also directly and indirectly influence others in getting into better routines and doing good for themselves. Making friends, staying connected, are few of many other parameters that can be incorporated while giving points for social contributions.
  • system 106 can include an activity component 1 16 configured to monitor activities of various users and giving CV on the basis of such activities/actions.
  • activities are not limited to social networking level activities such as posting comments, likes, sharing, pinning, ranking, emailing among other like actions, but can also include offline and non-social interaction based activities such as shopping, playing games, completing task, solving problems, giving feedback etc.
  • Even inactivity is an action, wherein such actions can have positive, neutral or negative impact and Contribution Value (CV) can be provided accordingly.
  • CV Contribution Value
  • Actions can include all voluntary and involuntary activities, wherein anything happening on or happening to person or happening in a way that makes the person aware of it or part of it, or affected by it, user experiences can be taken to be an action and accordingly CV can be provided. Some examples of the actions are listed below and the list of actions is by no way limited to the ones listed below.
  • Activity encompasses all kinds of actions from very generic to absolute specific detailed actions. For instance, searching, chatting are generic action whereas searching for a flight ticket with A airlines from location X to location Y on date D within time period T within price range R or communicating with friend X in a one-to-one chat through photo sharing are specific detailed actions.
  • Actions also encompass auto- generated system actions for an action done by a user.
  • posting, tagging, gaming, jogging, making payments could generate notifications, newsfeed for self and other users. All statements made towards Action or Activity or Event applies to the others as well. Every action may have in parts, or lead to several other actions, or be a subset action of a bigger action event or activity. For all these actions and events that occur, all criteria and details, micro as well as macro is used to evaluate the CV. The other actions involved may be either automated or may be performed by some other entity such as people, company etc.
  • socializing activities such as participating in and creating account, inviting friends, participating in events or groups, ratings, messaging, viewing, learning, getting informed, notifications, reporting bugs, giving feedback or suggestions, polling, ranking, tagging, hash tags; day to day activities such as sleeping, eating; educational activities, professional activities, entertainment activities, shopping activities- such as buying, selling, creating and sharing wish list, signing for updates, price changes, product availability, lifestyle fitness and health related activities, etc. are part of the activities that are processed by the apparatus, and incentives generated can be different for each for these activities based on the value they bring to the entity rewarding the users. For instance, bringing in a new customer could be more valuable action than chatting with a friend, and therefore the incentive in both the cases will differ, and accordingly processed by the apparatus.
  • Cost Component configured to process CV based on different costs.
  • the cost of user's action to a company is measured against the profit, projected future profit that the company makes from the user's actions in determining the CV points to be generated for the user by the system. For instance, uploading a number of photos and doing a lot of online chatting may lead to company's additional server costs, and, at the same time, the number of additional users that these photographs/chats engage and entertain may lead to company's gain along with the advertisements revenue gain generated by showing this user and hence an offset or a weighted offset are computed to determine the actual number of points that should be allocated to a user.
  • the points can be positive or negative as in any other case of incentive points depending on outcome of action for the entity.
  • the gain that can be generated for the entity is not just revenue, profit but also brand growth, growth in number of consumers, consumer time spending with entity, growth in market size among other like factors.
  • the system measures all these values against user's activity cost to determine CV.
  • system 106 can include an influence component 1 1 8 configured to allocate Contribution Value (CV) computed from the kind, extent, and mode of influence that a user makes on decisions of the others.
  • CV Contribution Value
  • the company X may give user A certain incentive points for being influential.
  • user B instead of buying an Apple laptop, bought an Apple iphone, lesser points may still be given to user A for recommending the Apple brand.
  • a had purchased the product instead of recommending A could be provided with more points and it sent out a stronger influencing message.
  • system 106 can include a location component 120 configured to allocate CV by computing contribution of a user based on location/place of the user, others involved, product, activity, promotion, company, competition elements of 7Ps,7Cs of marketing and other relevant criteria. All details of place/location/channel, place/ channel attributes such as wholesale, retail, internet, direct sales, peer to peer, multi-channel, logistics etc. are taken into account to determine CV.
  • Locations also include virtual space/location and its relevant details. For instance, viewing ad when searching on search engine, an online store or on a chat application or mentioning it in direct or group post etc.; ad seen on a mobile app or web or newspaper or television etc.
  • a user sharing information of an Indian product with 20 friends, 1 8 of whom are based in the US is of lower relevance when compared with a user sharing information with 10 friends, 6 of whom are based in India.
  • Location and Place are used synonymously across the description. All details of location/ place such as location type (restaurant, mall, library, college etc.), neighborhood, locality, city, population, economy, demographics, psychographics, geographic, infrastructure, laws, relative demand and supply, logistics etc. are taken into consideration when evaluating CV.
  • system 106 can include a relationship component 122 configured to allocate points by computing contribution of a user through influence based on their relationships. For instance, influence and impact of a user on his sibling would be way higher than the impact on a 2'nd level barely known contact on Linkedln. Similarly, impact of a user on his childhood friend may be higher than on an office colleague who he has known only for the last 3 months. Therefore, the kind of relationship that a user has with his contacts plays a role in evaluating user's contribution to the entity rewarding them.
  • CV for a person can be evaluated on the relationship between the action-doer, action, relationship it has with the object of action (which could be a person, product, company, activity etc.), context, surroundings, others who get to know of it, their relationships etc. For instance, a boss or superior's (or neutral 3rd party) valuation of a person is given more value than that of friends and family.
  • a Relation component can be included to evaluate the degree and strength of closeness of relationships, and the CV is determined based on time spent together, time and energy spent following the other, actions done for the other and together, communication between each other, content of communication between each other, transactions between them, activities done together, part of activity they were, number of communications between them, types of communication with each other, length of conversation between them, type of communication one-to-one or one-to-many, communication location such as own post, others timeline, messaging app, telephonic etc., derivative of action (for example: a post) such as - humor, anger, joy, positive, entertaining, emotional, logical, boring etc.
  • a Product Component can be included to determine CV for users on the basis of the Product/Commodity that is involved in the action on product.
  • All details of product/commodity, product/commodity attributes such as utility, design, technology, perceived usefulness, convenience of use/ access, accessories, category, advantages, disadvantages, variants, varieties, warranties, product type- FMCG, seasonal, electronic, come with expiry date, delicate, volume, dimensions, insurance, returnable, exchangeable, trial available, expensive, weight etc., category, market share, current product trend, life-cycle, competing product advantages and disadvantages, risk involved (such as unknown quality, unknown trend, unknown or novel product ) etc. are taken into account to determine CV.
  • a Communication Component can be included to determine CV for users on the basis of the Promotion/Communication that is involved in the action on product. All details, parameters components, variables of promotion/communication, promotion/communication attributes such as discount, offer, terms and conditions, premium account offer, membership offer, advertisements, endorsements, trials, campaigns, infomercials, joint ventures, gifts, etc. are taken into account to determine CV.
  • a Cost Component can be included to determine CV for users on the basis of the Price/Cost that is involved in the action on product. All components, attributes, parameters, details of Price/ Cost, Price /Cost attributes such as payment method and details, credit, costs- financial, social, time, all financial and transactional details, customer service consumption etc., profit, revenue, turnover, terms and conditions, skimming, penetration, value based, cost plus, cost leadership, price elasticity, customer perceived value, reference value, differential value, expensive, moderate, economic, cheap, value for money etc. are processed to determine CV.
  • a Physical Evidence Component can be included to determine CV for users on the basis of Physical evidence, Packaging involved in the action on product. All components, details of Physical evidence, Packaging attributes such as facilities, infrastructure, service delivery, logistics etc. are processed to determine CV.
  • a Process Component can be included to determine CV for users on the basis of the process that is involved in the action on product. All components, details of process, process attributes such as uniformity of offering, service delivery, service consumption etc. are taken into account to determine CV.
  • a Person Component can be included to determine CV for users on the basis of the Person / Consumer/ Seller that are involved in the action on product and the role played by each of them. All details of Person / Consumer/ Seller, Person/Consumer/ Seller attributes such as cultural, social, personal, psychological, needs, wants, security, consumer education etc. are taken into account to determine CV.
  • a Corporation Component can be included to determine CV for users on the basis of the Corporation that is involved in the action on product. All components, details, parameters and attributes of Corporation, Corporation attributes such as uniformity organization, stakeholders, Competitors and their details, market conditions, market share, positioning; standard business operations (procurement, purchases, operations, marketing and PR, sales, PR, Finance, human resource,) taxes, research and development, market conditions, partnership, contracts, agreements terms and conditions and their costs and benefits etc. are taken into account to determine CV.
  • a Circumstances Component can be included to determine CV for users on the basis of the Circumstances that are involved in the action on product. All details of Circumstances, Circumstances attributes such as National and International (political, legal, ethical), weather, social and cultural, economic etc. are taken into account to determine CV.
  • system 106 can include a Timing component 124 configured to allocate points based on time duration, time gap between actions, events, activities, reaction time, response time etc. of the same user or different user. For instance, in case a user A writes an article on a product X and one of his friends B buys the product X within 2 hours of the article, user A can be given higher incentive points when compared with when the user B buys the product X, 30 days after the article is written by the user A.
  • system generates incentives on the basis of time spent by user in different activities. For instance, user viewing posts, blogs, making purchases, window shopping, searching stuff etc). Further, Incentives can be generated based on user's recent activity.
  • system 106 can include a History component 126 configured to allocate points based on previous/past activities and/or history of the user such as browsing history, product purchase history, profile history, change in preferences, interests, likes, professional, educational, personal history, activity pattern, changes in life, one or more of which can enable allocation of points to the user.
  • the History Component is further configured to allocate points based on previous patterns/ history of impact of different activities in context with 7P, 7C of marketing and other general criteria mentioned across the document. Further points can be allocated by system based on projecting future impacts of an action by analyzing the current action and previous pattern/ history of users and the action.
  • Personality component 128 can be configured to incorporate attributes such as traits, attitude, character, social status, financial status and details, reputation, recognitions, talents, earnings, job, influence, value of the person's network and relations.
  • attributes such as traits, attitude, character, social status, financial status and details, reputation, recognitions, talents, earnings, job, influence, value of the person's network and relations.
  • Personality Component is part of Person's all details component. As Person details are factors that affect and influence others a user is given points according to his/her details.
  • Personality component 128 can further be configured to evaluate parameters, criteria and details of person's information such as educational details, certificates, accolades, IQ, emotional quotient, aptitude, stature, fame, demographics, career, experience, ethnicity, religion, gender, age, marital status, community, culture, trouble with law, hobbies, political inclination, beliefs, views and opinions, sports interests, art interests, achievements, recent history, character, knowledge of subject in hand (product/service) for an action performed, perception or reaction of people of knowledge of subject in hand (product/service) for an action performed, among other like attributes.
  • parameters, criteria and details of person's information such as educational details, certificates, accolades, IQ, emotional quotient, aptitude, stature, fame, demographics, career, experience, ethnicity, religion, gender, age, marital status, community, culture, trouble with law, hobbies, political inclination, beliefs, views and opinions, sports interests, art interests, achievements, recent history, character, knowledge of subject in hand (product/service) for an action performed, perception or reaction of people of knowledge
  • personality or user profile can be divided based on one or more of physical attributes, health attributes, professional attributes, skill attributes, personal attributes, behavior attributes, hobbies, interests, educational attributes, financial attributes and details, traits, perceived attributes, power attributes, lifestyle social attributes, fame , popularity and accomplishment related attributes among other general attributes.
  • any detail or information that could be described as a person's attribute, detail, related information, behavior, eccentricity, belief system, etc., which can have effect on others, which is either real or perceived by others as such can be considered for generation of contribution value or incentive points.
  • system generates incentives based on amount of information shared, wherein, in an instance, the more information a user shares with people( depending on type and value of information), the more can be incentive that user receives. Similarly, the more one shares about his/her past activity and future plans on actions, activity, purchases the more incentives the user gets.
  • system 106 can include a commitment component 130 configured to allocate points based on commitments made by a user.
  • system 106 can include a pricing component 134 configured to allocate points based on pricing factors.
  • incentives can be generated for users prepaying, giving advance deposit and their details such as time period, amount, terms and conditions etc. for products or services that they may/will buy, use in future from us, or have bought and waiting for delivery. Some CV can still be given even if the consumer on a later date feels like not buying the products/ do the activity from us and would like a refund/ cancellation, as per user's attempt in trying to buy/use the product.
  • system generates incentives for users for sharing their future plans of activity, shopping with us and also on their achieved success in going through with these plans.
  • system generates CV for users when they commit, advance pay to a percentage of spending on an entity's products and services from their entire spending on products and services.
  • CV is generated for users when they commit to purchasing or invest a percentage of their earnings into the company issuing points.
  • system 106 can include a marketing component 132 configured to allocate points based on the extent of marketing/promotion/sales being done by a user. Such activities can relate to any activity that is leading to a sale or promotion of one or more products of an entity that is issuing the incentive points.
  • system 106 can include a product component 136 configured to allocate points based on product related attributes. For instance, incentives can be generated for users for describing requirements, voting, features they want in current, and upcoming products and services and with what pricing, terms and conditions, assigned tasks completed etc. CV can therefore be determined on the basis of what kind of rating, reviews, rankings, views, popularity, discussions, clicks, hash-tags have been provided by the people for the products they have bought, experienced, used, evaluated.
  • system 106 can include an incentive computation component 138 configured to compute based on one or more of above mentioned components and other like components, the total number of CV points for a given user 180 and also configured to dynamically update in real-time or periodically the value of such points based on user's actions, activities or other above mentioned factors/attributes.
  • CV points/ incentive points can be allocated based on relativity as well as proximity of measuring criteria such as person, location, product, action, time, attribute, among other parameters. Relativity and proximity and their degree or strengths can measured for one or more measuring criteria in order to evaluate the CV to be given to the user.
  • System determines CV based on relative contribution, activity, outcome, performance, positioning, timing etc. of a user compared to others.
  • Relative comparison could be with individuals in general, group network, proximity peers etc. or to averages, mean, median, mode and other mathematical and statistical outputs generated for different set of people and criteria. For instance, a celebrity sharing his shopping list will be relatively more influential on non-friends buying those products than a non-celebrity would be. In another instance, buying a bed may a close validation for a friend for buying a sofa from the same store as products are in close category proximity, but not food from that store.
  • Proximity As explained could be of time, action, product/service person, location 7Ps, Cs of Marketing and their details etc. These entities may also hold relative position with respect to each other, which can be measured and applied to generate value of CV. Proximity measures the relative closeness and apartness of attributes, details values on different criteria. For instance, two people who play football are connected by the fact that they play football. This connection is Commonness/ Similarity part of Proximity.
  • One of the two may play football better than the other and therefore would be positioned higher by the degree of difference in their play and this can be accounted for in the CV.
  • This positioning is Proximity Positioning.
  • two smart phones proximity can be measured by their functionality; speed, ease of use, pricing, features, quality, size etc. and the difference can be accounted for in CV. For instance, a smart phone and a tablet which are not same, have a lot of common features, thus have greater proximity value than a smart phone and a washing machine which have few common features.
  • Proximity of two individuals can be determined on the basis of their profession: same profession but difference in position and success level; different professions but similar income groups etc.
  • not all attributes, actions, events, entities etc. have same relevance on an event or action for which CV is to be determined. Therefore relevance within Relevance Component can be determined on the basis of degree similarity, matches, commonness, proximity, relativity, of attributes and actions and a minimum degree or strength value to determine the relevance.
  • System determines CV using the relevance mechanism for all calculations. Evaluation is done by system by following the logic based on details that in some cases some factors may or may not apply to certain people, certain cases, etc. For instance, a doctor's rating on some song is not of more value than other people's, but in case of medical opinion, doctor's rating may have higher value than others, while in case of discussing quantum physics doctor's inputs may not be applicable.
  • Complementing Proximity a part of Proximity Component is another component used to evaluate the incentive to the accorded with one or more involved users, wherein complementing proximity is attained between two entities, actions, attributes where one would complement the other. For instance, shirt and trouser, shoes socks, company founder, teacher student, hot weather and cold drink, post and likes, post and comments, post and purchase, purchase and influence others, recommendations and purchases made because of it, are examples of such complementing proximity. Such complementing activities and scenarios that occur may be computed by system to determine CV for users.
  • data store 140 can be configured to store any data that is generated, evaluated, and/or processed as part of the incentive generation system 106.
  • Such a data store 140 can include points/incentives 142 being generated and dynamically updated, user profile data 144, product information/data 146, price data 148, user interaction data 150, user activity data 152, place data 154, promotion data 1 56, and any other data 1 58 that is used in the complete system 106 or any part thereof.
  • one of the mechanisms used by system for determining relative value of entity, actions, and attributes in comparison to other entities, actions, and attributes can involve asking users for their inputs on different matters and by using those inputs such as rating, reviews, and rankings, to determine relative values.
  • Other system mechanisms include analytics and third party data.
  • Figure 2 illustrates a functional representation 200 of an incentive computation system 202 in accordance with an embodiment of the present disclosure.
  • system 202 of the present disclosure can include an economic contribution based points computation module 204, a social contribution based points computation module 206, an influence based points computation module 208, a promotion based point computation module 210, an action based points computation module 212, a points aggregator module 214, and an incentive computation module 216.
  • any other functional module can always be incorporated in the instant invention and such incorporation would be within the scope of the instant disclosure.
  • the above mentioned modules can also be practiced independent of each other.
  • parameters defined in the instant disclosure are interdependent and therefore may not belong to a single category, as they can have influence in multiple areas. They have been put into categories only for the purpose of easier explanation of the disclosure and for indexing.
  • economic contribution based points computation module 204 can be configured to allocate points based on a user's economic contribution to the entity awarding the points, for instance by buying products and/or services, browsing ads etc. through or from the entity.
  • Such CV may be, in one implementation, the highest in terms of weight as they bring actual and tangible monetary benefits to the entity issuing the incentive.
  • social contribution based points computation module 206 can be configured to allocate points to a user based on social responsibilities undertaken by the user including activities such as usage of environment friendly products, writing blogs which may entertain or help others, undertaking work for non-government organizations ( GO's), reviewing a product doing social work. Undertaking such activities/actions may not do company benefit but does benefit people in having a better environment to live in, thereby directly as well as indirectly influencing others in getting into better routines and doing good for themselves.
  • system measures multiple attributes that form part of how influential can a user be on others. For instance, how many people follow, are friends with, or are connected to a particular user can give indications of the social circle and influence that the user has.
  • the object of evaluation is a person but it can be anything such as a machine, software, company, etc. whose action and data is used as input.
  • the object of evaluation is a person but it can be anything such as a product, service, application etc.
  • an action's impact/influence is not necessarily immediate and can continue to produce more impact in time
  • impact of action or activity at a given point of time is determined and held, in time this value is updated regularly by system based on real impact. For instance, an article posted can keep generating viewers and likes long after it was posted.
  • system can evaluate CV by allocating different impact value for different people, for instance, a celebrity with several followers blogging is more valuable than a person blogging to a few people, and therefore, for the same act, different people will receive different incentives. Evaluation can also be done based on short-term and long-term impact for every aspect of person and person's action and activities. Evaluation of an action can be done based on who is doing it, on whom or what, or to whom or what it is doing, when it doing it, where it is doing it, how it is doing it, the relationship between the doer and the recipients, the relationship between the doer, recipients and the other people who learn about or become aware of it. Evaluation can keep happening in real time and, as a result, new values keep getting added to old actions, entities if they are part of the influence that caused future actions.
  • promotion based points computation module 210 can be configured to allocate points/incentives to a user based on the kind of promotional activities that he/she performs such as sharing product review with peers, colleagues, social networking friends, among other entities.
  • the extent and quantum of points can also be based on relevance of such sharing as sharing with friends inclined to buy the product may yield more incentive points when compared with sharing with friends who are not interested or already have it.
  • system determines CV for user according to details of a user's attempts or trials made to use, try, buy or promote products or services which may be bring positive outcome for the issuing company.
  • Such efforts may or may not lead to actual profits, but the quantum of efforts made, and the extent of attempts made to increase the entity's revenue generation, sales, profit, information, feedback, insights, technological advancement, retention of customers, marketing and branding, increasing footfall etc. may fetch user points. For instance, visiting a store to purchase something but not being able to find something of interest that one would love to purchase; trying a photo sharing application but not enjoying it and then quit using it; inviting friends to join a network even though the friend may not join the network or recommending products to friends who may not end up taking them.
  • action based points computation module 212 can be configured to allocate points/incentives to a user based on the kind, extent, and type of activities undertaken by user.
  • actions that may have a negative outcome such as spamming, bullying, publishing providing wrong or false information, not paying bills, bringing losses or damages, negative reviews etc. can also enable negative CV which will result in decrease in the net CV.
  • system determines CV for user based on earliness, and degree of earliness of action. For instance, people who act as early adapters or experimenters, who generally try a new product or service, participate in new activity in early stages when most people are waiting for system to be successful and would attempt it at a later date contribute enormous to a product service etc. at the much needed early stages and therefore an appropriate value can be provided to these users.
  • CV can be generated for a new/novelty entity, action, event, activity, attributes that an entity is responsible for doing or bringing in and the degree of it.
  • system determines CV for user on timing of an action, leading to situations wherein variable incentive can be given for the same action at different times. For instance, people participating in a company's product or service when it is facing challenges or difficult time rather than when company is performing great may get more incentive points than the later. Further, Incentives can be generated based on when (timing, time) a person does visit, view, buy, perform etc. actions on products and/or Services.
  • system determines CV for user based on activities such as the endorsement, product promotion, product advertising, product display, ad placements, notifications and newsfeed the user engages in or becomes part of. These activities may or may not be intentional. For instance, a person may be using one of company's products in public, this action brings to notice of others the product and a customer validation as per customer's action of using it, and therefore brings product endorsement, for which the customer receives CV; a person may attach an ad or permit others to attach an ad to a message, post, email etc. that he sends to others acting as a brand ambassador, and for this the person receives CV.
  • activities may or may not be intentional. For instance, a person may be using one of company's products in public, this action brings to notice of others the product and a customer validation as per customer's action of using it, and therefore brings product endorsement, for which the customer receives CV; a person may attach an ad or permit others to attach an ad to a message, post, email etc.
  • system determines CV for users according to presence or awareness of products or services user brings to other people during an occurrence of an action. Also people becoming aware of the action receive CV. These products may belong to the user or be simply in presence. For instance, a user wearing an X brand shirt, holding a Y brand mobile and wearing a Z brand shoes walking down the street into a restaurant , brings to notice these products and services, and CV is generated accordingly for the person and people who view it; A person playing or attending a grand event where in background and surroundings different products or ads are displayed receive CV; a person uploading images and videos where certain products can be identified on the person or surroundings or cause tourism attraction to location would receive CV along with the viewers.
  • system determines CV for users who perform actions and activities in systematic, organized, regular or periodic manner, and make use of products and services regularly.
  • CV can be generated for users who have more consistent activity patterns compared to users who have erratic activity patterns.
  • CV can be generated for people on the basis of frequency of actions towards an entity's products and services. For instance, a person who visits an apparel store every three months may receive better incentives rather than a person who happens to visit the store 4 times in two months and then 9 months later. As the new stock keep arriving from time to time, a user with erratic behavior may not be able to access all that was available and make limited choices which can be bad for both the entity and the user.
  • Systematic regularity gets both the customer and the company great benefits.
  • incentives can be generated on the basis of user's action or actions towards a product per unit time.
  • points aggregator module 214 can be configured to, in real-time and dynamically, compute and update points allocated to a user based on his actions and activities at the very time they are performed, enabling an accurate representation of the contribution that the user makes to the entity in context.
  • Points Aggregator module can also be configured to take into consideration other environmental and allied commercial parameters that may or may not necessarily be based on direct actions taken by the user.
  • incentive computation module 216 can be configured to, for a user, based on his/her dynamically changing points, decide the incentive for the user.
  • Such an incentive can be either pre-decided and then chosen based on the quantum of the incentive or can be decided at run-time based on user profile, points/score, and other l ike parameters.
  • discount shall be the only incentive given and users with higher points may get higher points, or it can be a situations wherein in case a user would like to get equity, dividend, profit sharing within a company, the system 202 may choose to identify such an incentive and issue the equity, dividend, profit based on total points of the user, net accumulated points across all users, and worth of the entity issuing the incentive.
  • the entity allocating the points may be same as the company enabling users to interact socially with each other and/or offering products and services and therefore act as sellers, marketers, evaluators making it easier for the company to work as one smooth cohesive unit.
  • entity allocating the points may be different from the company enabling users to interact socially with each other and/or offering products and services.
  • system 202 can include a visibility based points computation module, wherein the incentive points can be evaluated based on visibility factor and degree of visibility.
  • a user can be influenced by actions of others and therefore the visibility (awareness) of these actions can affect the CV.
  • a person may come to learn that ( 1 ) few friends 'x ⁇ 'y ⁇ have made purchases from store ' S' of certain individual items list (P,Q), (M,N), (L,N,D); or (2) learn that 3 friends have made a purchase at store 'S' of certain items P, Q, M, N, L, D; or (3) learn that 3 friends made a purchase from store 'S'. They all provide different influences as they have different degrees of visibility and therefore can be accordingly taken into computation.
  • FIG. 3 illustrates an exemplary representation 300 of user profile data 302 in accordance with an embodiment of the present disclosure.
  • user profile data can include and be formed of one or a combination of demographic data 304 such as age, sex, and marital status; psychographic data 306 such as personality, values, attitude, interests, and lifestyle; geographic data 308 such as location; behavioral data 310 such as buying habits, preferences, product usage, attitudinal data; product purchase history 3 12 such as type of products purchased, volume purchased, frequency of purchase, experience with purchased products; preference data 314 such as preferences, likes; interests 316; social circle 318 and relationships 320 such as social connections, purpose of networking, type of friends, relationships with friends, relationship strengths, social interactions, type of posts, likes, comments, among other like content.
  • demographic data 304 such as age, sex, and marital status
  • psychographic data 306 such as personality, values, attitude, interests, and lifestyle
  • geographic data 308 such as location
  • behavioral data 310 such as buying habits, preferences, product usage
  • user profile data 302 can further include traits 322 such as personality attributes, thinking pattern, outreach, and recommendation value, among other like attributes.
  • User profile data 302 can further be configured to include power attributes such as body language, confidence, communication skills, what one drives, what one wears, what one eats, how famous or infamous one is, what one does for a living, celebrity value, powerful position value, knowledge value, funny, attractive, etc. All these factors can be incorporated while determining the CV.
  • FIG. 4a and 4b illustrate examples 400 and 450 of incentive computation in accordance with an embodiment of the present disclosure.
  • Example 400 shows computation of incentive points based on different activities/actions undertaken by user A. Such activities can either be assessed by the retailer/service provider that issues such points, or can be given a third- party that has all data pertaining to the retailer/service provider and of the actions being undertaken by the user(s), or a combination thereof.
  • the proposed system can either be implemented at amazon.com, which has knowledge of as many user actions and above mentioned attributes as possible, or can also be executed by an independent company say xyz.com, which acts as both, a combination of product/service retailer as well as a social networking for monitoring user actions, activities, assessing profile, among other desired attributes.
  • Activity log 402 shows a series of actions undertaken by a user and how CV/incentive points can typically be allocated to the user based on such activities/actions, which might directly or indirectly impact an incentive-giving company's promotion/marketing/sale.
  • viewing a post of a friend about a product X can be given 2 points
  • commenting on the post can be given 5 points
  • sharing the post with contacts can be given 12 points as sharing a post is closer/relevant to promotion being done by user A when compared to commenting on a post, which in turn is more relevant to the company selling product X then simply viewing a post.
  • a friend of user A buys the product X within say 15 hours of A sharing the product X information
  • user A can be given an additional 45 points for being able to influence the decision of the friend.
  • user A may have been given 80 points.
  • the friend who actually bought the product would also of course be given certain points for actually bringing economic gain to the company. Therefore, total points given to user A for his activities on 20'th December can therefore be 64, which can then be added to his previous set of points 2300 to make the total point value to be 2364.
  • activity log 452 shows a series of actions undertaken by user B and how CV/incentive points can typically be allocated to the user based on such activities/actions, which might directly or indirectly impact an incentive-giving company's promotion/marketing/sale.
  • browsing for a mobile on a retailer's website can give user B 7 points
  • shortlisting a product can give 12 points
  • checking reviews of a product can give an additional 5 points.
  • evaluating reviews of a l 'st level contact user C can give user C 1 points as he is acting as an influence in the proposed system and enabling user B to make a decision.
  • Rate of interest, appreciation, depreciation per unit time can be determined based on the numerous parameters/attributes mentioned across the instant disclosure. Incentives can, in addition, be given based on visibility of users and their actions, extent of public disclosure, kind of influence they create, extent of seriousness they show, among other attributes.
  • system determines CV for user based on the kind and magnitude of ripple effect that users causes. Some actions lead to more actions (both similar, complementing, disparate, etc) by the same user or by other users and so on, which may in future lead to a chain of diverse actions.
  • CV is generated for doer of initial actions. For instance, a person writes a blog about tourist locations which may lead others to comment like, dislike, rate, review or a start a sub discussion on the topic, it might influence some others to actually visit the place, therefore initiator of that blog gets CV. Similarly inviting a new member who then, post joining, generates CV will get the person who invited the new member appropriate CV.
  • system determines CV for user based on the user who has joined, wherein, for instance, a top celebrity joining may generate more points than a powerful CEO, and similarly, joining of a CEO may fetch more points than a lesser popular person.
  • a user A buying a car may influence his friend B to buy a car which may in turn influence B's friend C, who is not a friend of A and is not aware that A bought a car, to buy a car.
  • A's action did not influence C's action directly, A will be given points for C's action as his action caused the whole chain of events.
  • system determines CV for user based on the ratio, the difference between the net contribution achieved at the current time interval to the net contribution achieved at an earlier similar time interval for a user who had contributed in the net contribution of earlier interval, in order to justly compensate for the earlier critical contribution of that user that helped entity reach current stage. Further, the contribution of user during the earlier interval, ratio and difference of user contribution to net- contribution; change in product, market, business dynamics etc. since the earlier interval that might have affected the change to current net contribution are taken into account to determine the right CV for the user.
  • system determines CV for user on the basis whether the user has increased or decreased the use of company/ entity's product as per user's need and on the basis of degree of positive or negative shift of a user in using the entity's or competitor's product. Further, system determines CV for user on whether user continues to use our product or has migrated to another.
  • FIG. 5 illustrates a representation 500 showing exemplary types of incentives 502 in accordance with an embodiment of the present disclosure.
  • incentives can include company equity 504 being shared, discounts being given 5 12, gifts/rewards, dividends, profit sharing being given 514, various titles 5 16 such as amateur, beginner, master being given, among other like incentives 518.
  • Incentives can also be a combination of the above and can also be new incentives that are issued based on above mentioned attributes, parameters, criteria.
  • Such incentives can include, but are not limited to, giving equity of the company to the user, issuing rewards, dividends, ownership, profit sharing, gifts, discounts, reimbursements, titles, action-impact points, voting rights, better terms and conditions, offers, coupons, gift cards vouchers, loyalty points, points, cash back, cash, money back, purchase points, gift cards, bonus, interest, credit, commission, stock, stock options, shares, bonds, warrants or any financial document, instrument of financial worth, perks or benefits in products and services, free gifts, compensation, consultation, salary, fees, commission, healthcare benefits, travel benefits, leave benefits, insurance, amenities, signing- bonus benefits, credit, EMI payment facility, low rate of interest, or no interest among other known means of giving incentives low rate of interest, or no interest, among others.
  • the system can determine the amount of incentive to be given to a user by first configuring the net point aggregator module 506 to compute the total number of points (CV) issued by the entity to all its users/entities, giving the total number of issued/outstanding points.
  • Company worth computation module 508 can then be configured to calculate the total net worth of the company by appropriately valuing the company based on various financial parameters. Similarly another module computes company's profit. Incentive can then be computed for a given user based on the number of points the user has (P), total number of issued/outstanding points (N), and total net worth of the company (W), as (P/N)*W.
  • the system gives the user the ability to trade these points/ incentives earned and owned for cash or for other incentives with either the company issuing them or with general public as per rules and norms set by the issuing body. Further, the user is provided with a means to determine the current ongoing market value for points, the past values and projected values along with an opportunity to discuss this with public, use mathematical and scientific models, learn about latest developments in market and to determine the best course of action that user can make in trading these points.
  • system evaluates relativities, proximities, weightages etc. of entities when being processed to ensure they cross certain threshold values so as to be considered for evaluation and participation of the entity. Further, these threshold values are determined by the company whose points are being issued based on company's discretion, the criteria mentioned across the document, mathematical and statistical models, algorithms that validate relevance etc.
  • Step 602 comprises identifying action and/or activity of a user, wherein such action/activity can include, but is not limited to, product purchase, product promotion/marketing, writing review, article, blog, post, commenting, and liking, among other actions. Such actions can either be monitored in real-time or can be undertaken periodically at desired time intervals.
  • Step 604 comprises evaluating user and profile thereof involved in enabling the action and/or activity.
  • User profile can include various attributes of the user as mentioned in Figure 3 of the instant disclosure. As each user performing the same action can have different impact (celebrity vs. normal user), identifying the type of user, his/her profile, characteristics, attributes, traits, lifestyle, stature, among others can help assess the value of their actions.
  • Step 606 comprises evaluating impact of the action and/or activity of the user from the perspective of the company issuing the incentive points based on user profile evaluated in step 604.
  • Such impact can include, but not limited to, number of hits on website, number of actual product sales, number of positive/negative reviews, number of and type of posts/ likes/ comments/reviews, impact on positioning and pricing of the products, among other like impacts.
  • Step 608 comprises allocating points to the user based on one or a combination of impact of action, type of action, weight associated with the action, user involved in the action, timing of the action, relevance of the action, among other like factors.
  • Step 610 comprises issuing incentives to the respective user(s) based on the number of points allocated to the user.
  • system determines CV for user based on how well people take actions and actively participate when informed of new arrivals, new products or services, sale, offers, promotions etc. from company and how well a company's newsletter, guidelines were followed based on criteria mentioned the instant disclosure.
  • CV for an action can also be determined based on the number of people doing that action to the number of people not doing that action in a given time period.
  • system determines CV for user based on the usage/activity of product or service done by the user. For instance, a user using a mobile for doing different activities and the number of times it is done.
  • system determines CV for user based on information such as likes, comments, ratings, reviews, rankings, pins, viewership, clicks, views, follows, followers, friends, viral reach, popularity, discussions, downloads, followers etc. that have been received by an entity such as user, seller, company, business partner or associate etc.
  • system determines CV for user on the basis of the environment of the action, such as people present, their ongoing activities, the event happening, products and services, ads, objects and entities present, timing factors, place etc.
  • system determines CV for users if there is a Positive Lucky happening for an activity performed by a user. For instance, if there is change in the number of people who are participating in an action, purchase or if there is a change in any criteria, environment related to the action, purchase, product, service. (Some Example: A person orders for food delivery and delivery costs would be X to the seller, another person also orders for food delivery from same location to the same restaurant. As the restaurant owner now has two deliveries close by at same time delivery costs are reduced if sent in single trip, automatically delivery related incentive is provided to both customers. Providing premium seats available that are going vacant during travel which would go waste otherwise to non-premium user as incentives under terms and conditions and offer.
  • CV can be generated based on the basis of effort required to provide services to individual people. If providing certain products or services or information to people requires more effort than for other products, then the incentives generated to people may be less and vice versa. For instance, delivering items at a remote location or providing service to a nearby location can have varying points. CV can also be generated based on efforts of a user in doing an activity. For instance, a person may have traveled far, skipped several stores to come and buy from a particular store. A person may have taken personal effort answered a question, solved a query online posted by someone looking for a solution.
  • system determines CV for user based on user's diversity of activities such as social activity, lifestyle activity, and shopping activity done by a person, their quantity and volume per unit time. For instance, chatting with friends on social network, applications, buying products and services, reviewing products, writing blogs are all different activities.
  • incentives can be generated for verified or verifiable information. Providing real verifiable information helps produce better trustable information for everyone and therefore people are provided incentives for this.
  • system determines CV for user for accepting flexibility in products and services, quality, quantity, time, timing, price, location, delivery, delivery point, delivery date/day/time, speed of execution, urgency, among others.
  • system determines CV for user on the basis of relative positioning of entities arranged by a user/ users among entities such as in case of ranking. Further it can also be configured to allocate points or incentives on the basis of relative difference among given entities as marked by the user/ users. The user according to different criteria positions entities in an order which represent his valuation of the given entities relatively. Further, incentives can be generated on the basis of any other ranking mechanism or rank list available to determine the order of entities.
  • system determines CV for user on the basis of amount and kind of modification, alteration, customization needed, and the quantity and quality of the order of product or service.
  • system determines CV for user on the basis of details, attributes and elements of activity such as order, contract, agreement, transactions etc. Details of parameters such as products, services, quantity, payment mode, order date time, payment date time, payment type (advance, on time, late, installment, credit etc.) delivery date time, location, price, logistics, delivery location, takeaway location, offers applied, volume, et cetera are taken into account while determining points.
  • system determines CV for user on the basis of potential, possible future, highly probable and derivable action that could be predicted/ expected based on user's current action. For instance, purchasing a printer could be an indication of future purchase of ink cartridges.
  • system determines CV for user on the basis of market share, market and product trajectory, market shift etc. that the point issuing entity is experiencing for the current product service in a location with target audience and the level of integration of the product into the society and of the individual user
  • system determines CV for user on the basis of opportunity, strategy, communication, convenience, circumstances, advantages, disadvantages etc. that is required or put or available by the entity to get the user engaged in certain products and services.
  • system determines CV for user on the basis of factors such as current position of company brand according to target market, ease of adaptability for consumers, problem size that product/service is solving, pricing, ease of use, relative peers trend, network and friend circle trend, market trend et cetera towards the product or service etc.
  • system determines CV for user on the basis of throughput, ratio of user's trying, sampling, browsing, trial, usage of products, services or ads, and costs associated to it, to the user's accepting to use, or buying products or services or pursuing it further, and the profits and benefits associated with it.
  • system determines CV for user on the basis of ratio of user's trying, sampling, browsing, trial of products, services or ads to others trying, sampling, browsing, trial of products, services or ads as per the mentioned criteria.
  • system determines CV for user on the basis of ratio of the user's accepting to use, or buying products, services or pursuing it further to others the user's accepting to use, or buying products, services or pursuing it further as per the mentioned criteria.
  • system determines CV for user based on the difference between the difference between the costs and returns achieved for the above mentioned ratios.
  • system determines CV for user as per performance of peers as per proximity, network, regional performance and other mentioned criteria.
  • system determines CV for user on the basis of number of times the product/ad has been viewed, browsed by the user.
  • system determines CV for user on the basis of the comfort level, experience level, knowledge level, and skill level of the user. These levels can be determined based on user activity and activity of everyone else, the number of times it has been done per unit time, the performance and the points that have been achieved doing this kind of activity. Example: The number of times the user has done an activity (or activity in proximity) per unit time and how he has performed it helps determine how comfortable the user has become to the new environment. User's earlier activities and proximity of those to the current activity are used to determine different levels.
  • system determines CV for user on the basis of the marketing value, entertainment value, engagement value, trust value, influence value, revenue, profit, turnover, brand value, outreach value, suggestion or recommendation value, endorsement value, information value etc. achieved by a user's or established value of a user which is measured by measuring user activity and activity of others who get affected by it.
  • system determines CV for user on the basis of all 7Ps, 7Cs, relationships, proximities, time, timing, relative timing from the beginning or per unit times, and all criteria of evaluation and attributes and properties of all data are taken into account every action or event that occurs to determine points.
  • system determines CV for user on the basis of speed of delivery or execution required by the user.
  • system determines CV for user on the basis of relative performance, position of action (or actions) of user among friends, groups, networks, communities, different circles, category, factions, professional, educational background, people with similar short term or long term goals and objectives, people the user is following, among similar or proximity people, regions etc.
  • system determines CV for user on the basis of proximity of a user's messages, search or action's proximity to an ad that could be presented to user/ users.
  • system determines CV for user on the basis of points assigned by moderators and judges and users who are given such powers. Also CV is allocated for moderation and other such activities performed by a user.
  • system determines CV for user on the basis of patterns, type and categories a person can be defined by, by evaluating upon their data for a period and in context to others so as to provide useful information such as active, engaged, chatty, informative, civil shopper etc. All this derived through mathematical and statistical algorithms.
  • system determines CV for user based on how much of revenue, profit the user has earned us by direct or indirect means, and how much of user engagement and entertainment the user has brought to others, who these people were and what were their contributions.
  • system determines CV for user when the user successfully meets certain criteria, achieves or accomplishes certain requirements, reaches a certain level, successfully executes required conditions etc.
  • system determines CV for user on the basis of loan, finance, assets, investment, resources, intellectual property, funds etc. provided by a user to the company and all its details.
  • system determines CV for user based on the actions and activities that have happened prior to the current activity and the information that was available, was used in performing the activity by the user.
  • system determines CV for user based on the complete details of an activity. (For instance, making a purchase of ticket from X to Y location. Then points would be generated based all the micro details of the event such as booking date and time, travel date and time, From and To location, payment mode cash, credit card, debit etc., paid by, paid for, travel mode air, train or car, travel class 1 st Class 2nd Class, coupon or discount used etc.).
  • system determines CV for user based on user's level of need, necessity, fun, entertainment etc. for an action or activity, product the user is performing.
  • system determines CV for user when other users are influenced by the action of the first user's actions.
  • This influence is measured among other users by measuring similar actions taken by other users such as purchasing an item X after watching first person buy X, recommending other people to buy X, liking, commenting on, ranking, pinning it. Further, influence created and respective CV for influence is determined based on the need, necessity of the person getting influenced. CV is determined for users involved by measuring details of past similar actions/purchases of a user to determine the possibility of performing the action. According to another embodiment, system determines CV for user based on user's complete details of delivery, return, exchange, takeaway, trial activity such as time period of trial, exchange, and return provided and used by a user, costs involved, reasons and circumstances behind the action etc.
  • Points, incentives, CV Contribution value
  • Contribution value is allocated in points which are convertible into incentives or incentive points and therefore synonymous.
  • details, attributes, parameters, criteria, components, mechanisms, machineries, apparatuses are meant to be used synonymously and be replaceable with each other, and are avoided for verbosity.
  • system determines CV for user, users' actions to generate the results exactly or within the confines of mathematical models such as but not limited to curves, straight lines etc. These models factor in the users, users' actions, location, product/service, time details, promotion, 7Ps and 7Cs etc to determine what CV should be given.
  • system determines CV for user on the basis of user's financial and transactional details such as advance payment, real time payment, post product/service payment, installment payment, late payment; cash payment, e-wallet payment, e- currency or virtual currency payment, bank transfer, 3rd party vendor merchant payment, currency , currency type, credit card payment, national international payment; payment to vendor or some entity etc.; number of payments, size of payments, mode of payment, facilities, features, variants of payment process; Paid account, free account, type of account, advertisement acceptable, unacceptable, membership type; long term orders , shorter orders' big orders, small orders; delivery location, net bill value, product being purchased for self, someone else(who and relationship), purchases, sales, offer being used/given.
  • financial and transactional details such as advance payment, real time payment, post product/service payment, installment payment, late payment; cash payment, e-wallet payment, e- currency or virtual currency payment, bank transfer, 3rd party vendor merchant payment, currency , currency type, credit card payment, national international payment; payment to vendor or
  • system determines CV for user on the basis of ad browsing details such as whether single or multiple ads are present simultaneously, size of ad display in general and with respect to display device, is placed separate to content or is displayed before, after or in-between content, ad mode type text, audio, video etc.
  • system determines CV for advertiser on the basis of ad details such as but not limited to ad pricing, ad size, volume, ad structure, format, process, timing, target people and execution details, ad locations, 7Ps, 7Cs of marketing, ad success, search, search criteria, proximity to search, proximity to user interest or needs, ad keywords, tags, brand popularity, informative value, entertainment value etc.
  • system determines CV for user on the basis of the kind of ad/product user has browsed, seems interested in browsing, is browsing; the number of times the user has browsed an ad/product; The number of times the user has visited the ad/product, timings related to this, the number of times a/the product or service was searched, when it was searched and other details relating to this activity, popularity and ranking of this search, proximity of an ad to the search criteria or the content presented, how further has the ad/product been pursued, has it been successfully accepted or purchased.
  • system determines CV for user according to the third entity involved in the user's action such as a business associate, business partners, agents, brokers, distributors, suppliers, sellers etc. and all the details pertaining to these third entities, and the details of relationship, activities, agreements with us in general and with respect to the activity in hand.
  • system determines CV for user on the basis of the points scored, the level or stage reached, the number of and the people defeated, the number of and the people lost to, the number of people information is shared with, the purchases made, the time taken to make the accomplishments, timings of all the activities of these events, resources used, number of attempts, timing of all the events, relative positioning, player ranking etc. of a user for a game, contest, event, process etc.
  • system determines CV for user based on the options, alternatives, competition, competing products and services available to a user for an action (ex: buying a product) and their advantages and disadvantages as per relativity, proximity, commonness, other mentioned criteria etc.
  • CV is determined based on the activity patterns of users for different time ranges and time frames.
  • system determines CV for user based on the basis of competition's products/services used by a user the degree and extent of it, and all its details similar to discussed in the document.
  • system determines CV for user based on fulfilling a given minimum criteria set by a company for users.
  • system determines CV for an entity, person, partner, seller based on all the details and attributes of entity and all the advantages and disadvantages it brings and the activities being performed by them.
  • system determines CV for user based on Visibility factors of People, Products, Actions etc. (ex: different products have different visibility such as car and washing machine.
  • incentives can be generated based on the potential of growth and opportunity that can be achieved by a user's activity.
  • system determines CV for user based on the company's goals, growth plan, needs and objectives, demand, supply and the user's contribution in helping achieve these goals.
  • CV can be generated for a user as per the compromises made by the user in choosing CV issuing company's product and services over others as per user's options and opportunity available.
  • system processes various tangible and non- tangible attributes of people, product, place, promotion, 7Ps, 7Cs and all other factors mentioned across the document as criteria and factors of measurement in determining value, weight and priority by different statistical and non-statistical methods/analysis that are carried out through measurements such as mean, median, mode, standard deviation, variance, percentile, quartiles, inter quartile range, coefficient of variation, regression analysis, sum a, average, normal distribution, extrapolation, interpolation, data modeling, etc., and these models processes can be used individually or in varying combinations to determine the priority and weightage of each aspect, as well as the relative importance in the overall scheme of things. Also, this assigned priorities/ weightage/ importance of each aspect may vary depending on the process under question, and the key end objective required to be achieved.
  • system determines CV for user based on the knowledge or information of other users and their activity details acquired by the user. For all actions/events that occur CV is determined for all the people who were involved in action in any way or came to know of it such as performers, people who were performed on, others present and those who shall learn of the action in future or be affected by it etc. In this case CV is determined by each person's contribution received and on the potential of future possible contributions that could be received.
  • system determines CV for an influencer based on the prior knowledge, level of experience, usage pattern of the person getting influenced for an activity and the relative influence of other influencers and their activities and other such details.
  • system determines CV for user based on the amount of change, learning, shift a user has to go through to adapt to company's product both in case of a complete novelty or a shift from previous alternative being used.
  • system determines CV for user based on the compromises, loses, disadvantages and also advantages and benefits experienced by user in using, promoting and building the success of the company.
  • System determines CV for user based on the percentage of people doing an activity per criteria, area, or category.
  • system determines CV for user on the basis of shadowing (digitally tracking and following all of user activity, experiences, body monitoring, health vitalities, events happening and surrounding information) a user allows the company to track and in what areas and times and other mentioned criteria.
  • system determines CV for user based on the area of contribution to which the user may have contributed and the net value of the area among all other areas of company. For instance infrastructure, liquid finances, customer base, brand, data and information, technology, human resource, intellectual property, product, place are some of the broad asset areas. Similarly, Data and Information could be further divided into several area such as user's physical data, educational data, professional data, financial data, lifestyle and shopping data, socializing data, activity and usage patterns among many other things. All areas have different worth and value and therefore hold different weight in determining the net value and gains of a company. This different worth and value is used in determining different weightage to different areas by the system.
  • system determines CV for user based on the global performance of company as well as local performance of unit/units of company or a region where user is active. According to another embodiment, system determines CV for user based on performance of user's network, friends, followers, category, factions, regions, peers, proximity people etc. user may belong to. According to another embodiment, system determines CV for user as per user's using or throwing an opportunity that might benefit the company. According to another embodiment, system determines CV for user based on the performance and contribution of user's friends and social network etc. Likewise friends and social network get CV as per a member's contributions. This is such as both network and user influence and motivate each other in contribution.
  • an entity represents and includes person, place, pricing, promotion etc., 7Ps and 7Cs of marketing. It can also include abstract elements such as likes, posts, pins, ranks, chats.
  • An Entity, User in general represents to identify a body or unit separately that can act as an independent and cohesive unit and may represent a person, company, group, committee, company among many other things, and is used as such where applicable and can be inferred and in places where it is being used to in reference to either receiving or allocating points. In some areas it is meant to represent any separate unit which can be physical or abstract such as people, place, product, pricing, promotion, competition, corporation, circumstances, 7P, 7C of Marketing and their attributes and details, timing details etc.

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  • Entrepreneurship & Innovation (AREA)
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  • General Business, Economics & Management (AREA)
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Abstract

La présente invention concerne un système destiné à calculer une valeur de contribution/des points d'incitation pour un utilisateur par une ou plusieurs entités de fourniture de services/produits, par évaluation et quantification dynamiques d'une valeur d'un utilisateur sur la base de ses actions, d'événements, de l'effet de tels changements sur l'utilisateur et/ou de ses contacts/relations/cercle social, entre autres facteurs analogues. Le système peut également être conçu de façon à tenir compte de plusieurs autres paramètres, tels que l'influence de l'utilisateur sur la prise de décision des autres, le profil/la personnalité de l'utilisateur, la contribution sociale, la tendance/l'historique des achats de produits, l'interaction au niveau du réseau social, les recommandations, les préférences, entre autres attributs analogues, afin de déterminer et de changer de manière dynamique le type, la nature et le volume de points/incitations/rémunérations à donner à l'utilisateur.
PCT/IN2014/000741 2013-11-28 2014-11-28 Système destiné à calculer une contribution et à fournir des incitations appropriées WO2015079460A1 (fr)

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US10832273B1 (en) * 2019-04-18 2020-11-10 Capital One Services, Llc Systems and methods for incentivizing behavior
CN112184073A (zh) * 2020-10-29 2021-01-05 深圳前海微众银行股份有限公司 积分数据处理方法、装置、设备及计算机存储介质
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CN112308648A (zh) * 2020-02-28 2021-02-02 北京沃东天骏信息技术有限公司 信息处理方法及装置
CN112767045A (zh) * 2021-01-27 2021-05-07 支付宝(杭州)信息技术有限公司 流失用户的挽回方法、装置和电子设备
CN112801693A (zh) * 2021-01-18 2021-05-14 百果园技术(新加坡)有限公司 基于高价值用户的广告特征分析方法及系统
CN113052456A (zh) * 2021-03-17 2021-06-29 北京十一贝科技有限公司 一种激励因子的确定方法、装置、终端设备和存储介质
CN113409077A (zh) * 2021-06-10 2021-09-17 杭州趣链科技有限公司 积分发放方法、装置、设备和存储介质
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CN113891653A (zh) * 2019-06-12 2022-01-04 黄土原实验室株式会社 参与型水产养殖系统
WO2024042627A1 (fr) * 2022-08-24 2024-02-29 三菱電機株式会社 Dispositif de traitement d'informations, procédé de détermination et programme de détermination
CN118134553A (zh) * 2024-05-08 2024-06-04 深圳爱巧网络有限公司 一种电商爆款多平台协同推送系统、方法、设备及介质

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WO2017123235A1 (fr) * 2016-01-15 2017-07-20 LIANG, Alvin Systèmes et procédés d'analyse et d'exploration d'objets sur des réseaux sociaux
CN106981029A (zh) * 2016-01-15 2017-07-25 林慧隆 基于供需候选推荐以发展深度人际社交网络的系统与方法
RU2717627C2 (ru) * 2016-01-15 2020-03-24 Карнеги Икс Инк. Системы и способы для анализа и изучения объектов в социальных сетях
US20180276711A1 (en) * 2017-03-22 2018-09-27 Toshiba Tec Kabushiki Kaisha Content distribution server
US10937071B2 (en) 2018-02-01 2021-03-02 Givewith LLC Social platform promotion system and method
US10915931B2 (en) 2018-02-01 2021-02-09 Givewith LLC Social platform promotion system and method
US11756083B2 (en) 2018-02-01 2023-09-12 Givewith LLC Social platform promotion system and method
US10963929B2 (en) 2018-02-01 2021-03-30 Givewith LLC Social platform promotion system and method
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US10929898B2 (en) 2018-02-01 2021-02-23 Givewith LLC Social platform promotion system and method
US10915932B2 (en) 2018-02-01 2021-02-09 Givewith LLC Social platform promotion system and method
US11257131B2 (en) * 2018-02-01 2022-02-22 Givewith LLC Social platform promotion system and method
US10915933B2 (en) 2018-02-01 2021-02-09 Givewith LLC Social platform promotion system and method
US10832273B1 (en) * 2019-04-18 2020-11-10 Capital One Services, Llc Systems and methods for incentivizing behavior
US11328317B2 (en) 2019-04-18 2022-05-10 Capital One Services, Llc Systems and methods for incentivizing behavior
CN113891653B (zh) * 2019-06-12 2023-03-10 黄土原实验室株式会社 参与型水产养殖系统
CN113891653A (zh) * 2019-06-12 2022-01-04 黄土原实验室株式会社 参与型水产养殖系统
CN112308648A (zh) * 2020-02-28 2021-02-02 北京沃东天骏信息技术有限公司 信息处理方法及装置
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CN111899052A (zh) * 2020-07-28 2020-11-06 深圳市慧择时代科技有限公司 一种数据处理方法和装置
CN112184073A (zh) * 2020-10-29 2021-01-05 深圳前海微众银行股份有限公司 积分数据处理方法、装置、设备及计算机存储介质
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CN112801693A (zh) * 2021-01-18 2021-05-14 百果园技术(新加坡)有限公司 基于高价值用户的广告特征分析方法及系统
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CN113052456B (zh) * 2021-03-17 2024-02-06 北京十一贝科技有限公司 一种激励因子的确定方法、装置、终端设备和存储介质
CN113409075A (zh) * 2021-06-10 2021-09-17 杭州趣链科技有限公司 积分发放方法、装置、设备和存储介质
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WO2024042627A1 (fr) * 2022-08-24 2024-02-29 三菱電機株式会社 Dispositif de traitement d'informations, procédé de détermination et programme de détermination
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