# US 2018/0025377 A1 · Systems and methods for evaluating effectiveness of outdoor or indoor advertisements > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0025377 A1 - Document ID: US20180025377A1 - Status: Published application - Kind: A1 - Application number: 15/216,637 - Filed: 2016-07-21 - Published: 2018-01-25 - Earliest claimed: 2016-07-21 - Applicants: Stickerride Ltd - Inventors: MIKHAIL MARCHENKO - Web page: https://patentgrep.com/patent/US20180025377A1 ## CPC - G06Q 30/0243: {Comparative campaigns} - G06Q 10/46: Determination of level of influence of users within social networking services - G06Q 30/0269: {based on user profile or attribute} - H04L 67/306: User profiles - 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 - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract Evaluating effectiveness of outdoor or indoor advertisements involves analysis of data on human user interaction with outdoor or indoor advertisements. This analysis is accomplished using a mobile application, which enables users to locate various items that the subjects in an advertising campaign, take pictures or videos and easily repost them in a personal account in social media in the form of the game or a quest. The described system generates the following results: comparative analysis of advertising objects used in an advertising campaign; effectiveness of given campaign as a whole compared to another campaign; effectiveness of a given advertising object in a specific campaign compared to the use of the same object in another campaign; comparative analysis of different items of creative content used in the same advertising campaign; and any and all other custom analytics as requested by the advertiser. ## Claims ### Claim 1 A computer-implemented method for calculating user incentives in connection with outdoor or indoor advertisement(s), the method being performed in connection with a computerized system comprising a central processing unit, a positioning device, a display device and a memory, the computer-implemented method comprising: a. using the central processing unit to post a photo or a video taken by a user in a social network; b. checking whether the posted photo or video is still available in the social network; c. if the posted photo or video is still available, determining a level of other user interaction with the posted photo or video; d. specifying a rate information applicable to an advertising campaign corresponding to the posted photo or video and the social network; and e. calculating a number of points (P) earned by the user for the posted photo or video in the social network based on determined rate information and the determined level of interaction. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the level of other user interaction with the posted photo or video is determined based on a number (L) of “likes” collected by the posted photo or video in the social network. ### Claim 3 (depends on 1) The computer-implemented method of claim 1, wherein the level of other user interaction with the posted photo or video is determined based on a number of reposts (S) collected by the posted photo or video in the social network. ### Claim 4 (depends on 1) The computer-implemented method of claim 1, wherein the level of other user interaction with the posted photo or video is determined based on a number of views (V) of the posted photo or video in the social network. ### Claim 5 (depends on 1) The computer-implemented method of claim 1, wherein the rate information comprises a price per friend/follower (pF), price per like (pL) and price per repost (pS), limit for friend/follower (limF), limit for likes (limL) and limit for reposts (limS), price per watched video (pV) and limit for number of times video can be watched (limV). ### Claim 6 (depends on 1) The computer-implemented method of claim 1, further comprising determining a number (F) of friends and followers of a profile of the user in the social network, wherein the number of points (P) earned by the user for the posted photo in the social network is calculated according to a formula: P=if(F>limF;LOG(F;2)*pF*limF/LOG(limF;2);pF*F)+if(L>limL;LOG(L;2)*pL*limL/LOG(limL;2);pL*L)+if(S>limS;LOG(S;2)*pS*limS/LOG(limS;2);pS*S) or any other function that is linear to number of friends, number of likes, number of reposts and switches to logarithmic after a certain limit and wherein for posted video the formula is: P=if(V>limV;LOG(V;2)*pV*limV/LOG(limV;2);pV*V)+if(L>limL;LOG(L;2)*pL*limL/LOG(limL;2);pL*L)+if(S>limS;LOG(S;2)*pS*limS/LOG(limS;2);pS*S) or any other function that is linear to number of times video was watched, number of likes, number of reposts and switches to logarithmic after a certain limit. ### Claim 7 (depends on 1) The computer-implemented method of claim 1, wherein checking whether the posted photo or video is still available in the social network during a predetermine period of time comprises determining whether the posted photo or video exists and can be accessed without any restriction by any user. ### Claim 8 (depends on 7) The computer-implemented method of claim 7 wherein if the posted photo or video is not available to everybody, it is treated as “unavailable”. ### Claim 9 A computer-implemented method for evaluating effectiveness of outdoor or indoor advertisement(s), the method being performed in connection with a computerized system comprising a central processing unit, a positioning device, a display device and a memory, the computer-implemented method comprising: a. receiving data on a plurality of postings made for a predetermined advertising campaign, b. associating each posting of the plurality of postings with an advertisement object of a plurality of advertisement objects; and c. determining the effectiveness of outdoor or indoor advertisement(s) based on statistical analysis of a number of associated postings. ### Claim 10 (depends on 9) The computer-implemented method of claim 9, further comprising computing, for each of the plurality of postings, an engagement rate. ### Claim 11 (depends on 9) The computer-implemented method of claim 9, wherein the each posting of the plurality of postings is associated with the advertisement object of the plurality of advertisement objects by means of an algorithm for building Voronoi diagram. ### Claim 12 (depends on 9) The computer-implemented method of claim 9, further comprising using statistical distribution of advertisement objects comprising groups of best and worst performing objects in the predetermined advertising campaign, average performance of advertising objects in the predetermined advertising campaign compared to average for other campaigns in a database, comparison of performance of the advertising object among several advertising campaigns and other analytics. ### Claim 13 (depends on 9) The computer-implemented method of claim 9, further comprising using standard computational instruments to determine statistical distribution of creatives, comprising groups of best and worst performing creatives in the predetermined advertising campaign, average performance of creative in the predetermined advertising campaign compared to average for other campaigns in a database, comparison of performance of creatives located at the advertising object among several advertising campaigns (can be helpful to determine social demography and profile of audience around this advertising object) and other analytics. ### Claim 14 (depends on 13) The computer-implemented method of claim 13, wherein the engagement rate comprises a first engagement rate computed based on a number of likes of the posting. ### Claim 15 (depends on 14) The computer-implemented method of claim 14, further comprising determining a number (F) of friends and followers of a profile of the user in the social network, wherein the first engagement rate is computed by dividing the number of likes of the posting by a number of friends and followers of a corresponding user who made the posting. ### Claim 16 (depends on 13) The computer-implemented method of claim 13, wherein the engagement rate comprises a second engagement rate calculated based on a number of reposts of the posting. ### Claim 17 (depends on 16) The computer-implemented method of claim 16, further comprising determining a number (F) of friends and followers of a profile of the user in the social network, wherein the second engagement rate is computed by dividing the number of reposts of the posting by a number of friends and followers of a corresponding user who made the posting. ### Claim 18 (depends on 13) The computer-implemented method of claim 13, wherein the engagement rate comprises a third engagement rate calculated based on a number of views of the posting. ### Claim 19 (depends on 18) The computer-implemented method of claim 18, further comprising determining a number (F) of friends and followers of a profile of the user in the social network, wherein the third engagement rate is computed by dividing the number of views of the posting by a number of friends and followers of a corresponding user who made the posting. ### Claim 20 A non-transitory computer-readable medium embodying a set of computer-executable instructions, which, when executed in a computerized system comprising a central processing unit, a positioning device, a display device and a memory, cause the computerized system to perform a computer-implemented method for calculating user incentives in connection with outdoor or indoor advertisement(s), the method comprising: a. using the central processing unit to post a photo or a video taken by a user in a social network; b. checking whether the posted photo or video is still available in the social network; c. if the posted photo or video is still available, determining a level of other user interaction with the posted photo or video; d. specifying a rate information applicable to an advertising campaign corresponding to the posted photo or video and the social network; and e. calculating a number of points (P) earned by the user for the posted photo or video in the social network based on determined rate information and the determined level of interaction. ### Claim 21 (depends on 20) The non-transitory computer-readable medium of claim 20, wherein the level of other user interaction with the posted photo or video is determined based on a number (L) of “likes” collected by the posted photo or video in the social network. ### Claim 22 (depends on 20) The non-transitory computer-readable medium of claim 20, wherein the level of other user interaction with the posted photo or video is determined based on a number of reposts (S) collected by the posted photo or video in the social network. ### Claim 23 (depends on 20) The non-transitory computer-readable medium of claim 20, wherein the level of other user interaction with the posted photo or video is determined based on a number of views (V) of the posted photo or video in the social network. ### Claim 24 (depends on 20) The non-transitory computer-readable medium of claim 20, wherein the rate information comprises a price per friend/follower (pF), price per like (pL) and price per repost (pS), limit for friend/follower (limF), limit for likes (limL) and limit for reposts (limS), price per watched video (pV) and limit for number of times video can be watched (limV). ### Claim 25 (depends on 20) The non-transitory computer-readable medium of claim 20, wherein the method further comprises determining a number (F) of friends and followers of a profile of the user in the social network, wherein the number of points (P) earned by the user for the posted photo in the social network is calculated according to a formula: P=if(F>limF;LOG(F;2)*pF*limF/LOG(limF;2);pF*F)+if(L>limL;LOG(L;2)*pL*limL/LOG(limL;2);pL*L)+if(S>limS;LOG(S;2)*pS*limS/LOG(limS;2);pS*S) or any other function that is linear to number of friends, number of likes, number of reposts and switches to logarithmic after a certain limit and wherein for posted video formula is going to be: P=if(V>limV;LOG(V;2)*pV*limV/LOG(limV;2);pV*V)+if(L>limL;LOG(L;2)*pL*limL/LOG(limL;2);pL*L)+if(S>limS;LOG(S;2)*pS*limS/LOG(limS;2);pS*S) or any other function that is linear to number of times video was watched, number of likes, number of reposts and switches to logarithmic after a certain limit. ### Claim 26 (depends on 20) The non-transitory computer-readable medium of claim 20, wherein checking whether the posted photo or video is still available in the social network during a predetermine period of time comprises determining whether the posted photo or video exists and can be accessed without any restriction by any user. ### Claim 27 (depends on 26) The non-transitory computer-readable medium of claim 26 wherein if the posted photo or video is not available to everybody, it is treated as “unavailable”. ### Claim 28 A non-transitory computer-readable medium embodying a set of computer-executable instructions, which, when executed in a computerized system comprising a central processing unit, a positioning device, a display device and a memory, cause the computerized system to perform a computer-implemented method for evaluating effectiveness of outdoor or indoor advertisement(s), the method comprising: a. receiving data on a plurality of postings made for a predetermined advertising campaign, b. associating each posting of the plurality of postings with an advertisement object of a plurality of advertisement objects; and c. determining the effectiveness of outdoor or indoor advertisement(s) based on statistical analysis of a number of associated postings. ### Claim 29 (depends on 28) The non-transitory computer-readable medium of claim 28, further comprising computing, for each of the plurality of postings, an engagement rate. ### Claim 30 (depends on 28) The non-transitory computer-readable medium of claim 28, wherein the each posting of the plurality of postings is associated with the advertisement object of the plurality of advertisement objects by means of an algorithm for building Voronoi diagram. ### Claim 31 (depends on 28) The non-transitory computer-readable medium of claim 28, further comprising using statistical distribution of advertisement objects comprising groups of best and worst performing objects in the predetermined advertising campaign, average performance of advertising objects in the predetermined advertising campaign compared to average for other campaigns in a database, comparison of performance of the advertising object among several advertising campaigns and other analytics. ### Claim 32 (depends on 28) The non-transitory computer-readable medium of claim 28, further comprising using standard computational instruments to determine statistical distribution of creatives, comprising groups of best and worst performing creatives in the predetermined advertising campaign, average performance of creative in the predetermined advertising campaign compared to average for other campaigns in a database, comparison of performance of creatives located at the advertising object among several advertising campaigns (can be helpful to determine social demography and profile of audience around this advertising object) and other analytics. ### Claim 33 (depends on 32) The non-transitory computer-readable medium of claim 32, wherein the engagement rate comprises a first engagement rate computed based on a number of likes of the posting. ### Claim 34 (depends on 33) The non-transitory computer-readable medium of claim 33, wherein the method further comprises determining a number (F) of friends and followers of a profile of the user in the social network, wherein the first engagement rate is computed by dividing the number of likes of the posting by a number of friends and followers of a corresponding user who made the posting. ### Claim 35 (depends on 32) The non-transitory computer-readable medium of claim 32, wherein the engagement rate comprises a second engagement rate calculated based on a number of reposts of the posting. ### Claim 36 (depends on 35) The non-transitory computer-readable medium of claim 35, wherein the method further comprises determining a number (F) of friends and followers of a profile of the user in the social network, wherein the second engagement rate is computed by dividing the number of reposts of the posting by a number of friends and followers of a corresponding user who made the posting. ### Claim 37 (depends on 32) The non-transitory computer-readable medium of claim 32, wherein the engagement rate comprises a third engagement rate calculated based on a number of views of the posting. ### Claim 38 (depends on 37) The non-transitory computer-readable medium of claim 37, wherein the method further comprises determining a number (F) of friends and followers of a profile of the user in the social network, wherein the third engagement rate is computed by dividing the number of views of the posting by a number of friends and followers of a corresponding user who made the posting.