System and method for generating time-slot samples to which content may be assigned for measuring effects of the assigned content

• US 9,947,018 B2
• Filed: 07/02/2008
• Issued: 04/17/2018
• Est. Priority Date: 07/03/2007
• Status: Active Grant

• Current Assignee: 3M Innovative Properties Company (3M Company)
• Original Assignee: 3M Innovative Properties Company (3M Company)
• Inventors: Brooks, Brian E., Canavan, Michael K.
• Primary Examiner(s): Brown, Luis A
• Application Number:
  US12/167,002
• Publication Number:
  US 20090012848A1
• Time in Patent Office: 3,576 Days
• Field of Search: 705 144, 705 1441, 705 1442, 705 1443, 705 1449, 705 1461
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

Systems and methods provide for generating time-slot samples to which content may be assigned for measuring effects of the assigned content. Systems and methods provide for receiving viewer visit duration (VVD) that target viewers spend at a location where content is to be presented and receiving time intervals (TI) for data collection for data streams of interest that target viewers can affect during their visit to the location. A time-slot sample duration (TSSD) is determined using VVD and TI. Time-slot samples are generated that have a duration defined by the TSSD and a data collection period defined for at least a portion of the TSSD.

Claims

1. A computer-implemented method for generating time-slot samples to which content may be assigned for measuring effects of the assigned content on a digital signage network having a plurality of displays at one or more locations, comprising:

by one or more processors,

receiving, for each location of the one or more locations, viewer visit duration (VVD) that target viewers spend at the one or more locations where content is to be presented;

receiving time intervals (TI) for data collection for data streams of interest that target viewers can affect during their visit to a location of the one or more locations;

computing, for each location of the one or more locations, a time-slot sample duration (TSSD) using VVD and TI, wherein the TSSD is determined based on VVD and TI;

generating time-slot samples each having a duration defined by the TSSD and a data collection period defined for at least a portion of the TSSD;

creating playlists by algorithmically assigning content pieces to the generated time-slot samples, wherein the algorithmically assigning comprises automatically counterbalancing an order in which the assigned content pieces are presented to reduce location carryover effects that obscure causal relationships between effectiveness of the content pieces and data indicative of activities at the one or more locations;

distributing, according to an automated process, content pieces to the plurality of displays at the one or more locations according to the created playlists and for rendering thereby;

for the data collection period of the generated time-slot samples, collecting data indicative of activities at the one or more locations when the content pieces are presented on the plurality of displays to further reduce location carryover effects that obscure causal relationships between effectiveness of the content pieces and data indicative of activities at the one or more locations;

evaluating effectiveness of the content pieces using the collected data; and

re-distributing, according to the automated process, the content pieces to the plurality of displays for rendering thereby as a function of the evaluated effectiveness of the content pieces.

2. The method of claim 1, wherein the VVD is based in part on prior sales data.

3. The method of claim 1, wherein the VVD is based at least in part on sensor data.

4. The method of claim 1, wherein the VVD is based at least in part on observational data.

5. The method of claim 1, wherein the VVD is based in part on transactional data.

6. The method of claim 1, wherein the VVD is based on an estimate of an expected VVD.

7. The method of claim 1, wherein the TSSD is determined by multiplying VVD by two if TI<

VVD.

8. The method of claim 7, wherein the data collection period is one half of the TSSD and the data collection period begins after the time-slot sample has started.

9. The method of claim 7, wherein the data collection period ends at the same time as the time-slot sample.

10. The method of claim 1, wherein the TSSD is determined by summing TI and VVD if TI≥

VVD.

11. The method of claim 10, wherein the data collection period begins one VVD before the beginning of the TI and terminates at the end of the TI.

12. The method of claim 1, comprising displaying content in accordance with the time-slot samples.

13. The method of claim 1, comprising assigning content to the time-slot samples to create a schedule.

14. The method of claim 13, comprising distributing the content to one or more display apparatuses.

15. The method of claim 14, comprising displaying the content on the one or more display apparatuses according to the schedule.

16. A system for measuring effects of content on viewer behavior, the system comprising:

a memory configured to store viewer visit duration (VVD) that target viewers spend at a location of one or more locations where content is presented and to store time intervals (TI) for data collection for data streams of interest that target viewers can affect during their visit to the location of one or more locations; and

one or more processors coupled to the memory, the one or more processors configured to execute program instructions for;

computing, for each location of the one or more locations, a time-slot sample duration (TSSD) based on VVD and TI,

generating time-slot samples each having a duration defined by the TSSD and a data collection period defined for at least a portion of the TSSD,

creating playlists by algorithmically assigning content pieces to the generated time-slot samples, wherein the algorithmically assigning comprises automatically counterbalancing an order in which the assigned content pieces are presented to reduce location carryover effects that obscure causal relationships between effectiveness of the content pieces and data indicative of activities at the one or more locations,

distributing, according to an automated process, content pieces to a plurality of displays at the one or more locations according to the created playlists and for rendering thereby,

for the data collection period of the generated time-slot samples, collecting data indicative of activities at the one or more locations when the content pieces are presented on the plurality of displays to further reduce location carryover effects that obscure causal relationships between effectiveness of the content pieces and data indicative of activities at the one or more locations,

evaluating effectiveness of the assigned content pieces using the collected data, and

re-distributing, according to the automated process, the content pieces to the plurality of displays for rendering thereby as a function of the evaluated effectiveness of the content pieces.

17. The system of claim 16, wherein the VVD is based in part on prior sales data.

18. The system of claim 16, wherein the VVD is based in part on transaction data.

19. The system of claim 16, wherein the VVD is based at least in part on sensor data.

20. The system of claim 16, wherein the VVD is based at least in part on observational data.

21. The system of claim 16, wherein the VVD is based on an estimate of an expected VVD.

22. The system of claim 16, wherein the processor is configured to determine the TSSD by multiplying VVD by two if TI<

VVD.

23. The system of claim 22, wherein the data collection period is one half of the TSSD and the data collection period begins after the time-slot sample has started.

24. The system of claim 22, wherein the data collection period ends at the same time as the time-slot sample.

25. The system of claim 16, wherein the processor is configured to determine the TSSD by summing TI and VVD if TI≥

VVD.

26. The system of claim 25, wherein the data collection period begins one VVD before the beginning of the TI and terminates at the end of the TI.

27. The system of claim 16, wherein the processor or other processor is configured to display content on one or more displays coupled to the processor in accordance with the time-slot samples.

28. The system of claim 16, wherein the processor or other processor is configured to assign content to the TSSs to create a schedule.

29. The system of claim 28, wherein the processor or the other processor is configured to distribute the content to one or more display apparatuses.

30. The system of claim 28, wherein the processor or the other processor is configured to display the content on the one or more display apparatuses according to the schedule.

31. The system of claim 16, wherein the processor comprises a plurality of processor resources that execute portions of the program instructions.

32. A non-transitory computer-readable storage medium comprising program instructions stored thereon which are executable by a processor, the instructions executable for performing processes comprising:

receiving, for each location of one or more locations, viewer visit duration (VVD) that target viewers spend at the one or more locations where content is to be presented;

receiving time intervals (TI) for data collection for data streams of interest that target viewers can affect during their visit to a location of the one or more locations;

computing, for each location of the one or more locations, a time-slot sample duration (TSSD) based on VVD and TI;

generating time-slot samples each having a duration defined by the TSSD and a data collection period defined for at least a portion of the TSSD;

creating playlists by algorithmically assigning content pieces to the generated time-slot samples, wherein the algorithmically assigning comprises automatically counterbalancing an order in which the assigned content pieces are presented to reduce location carryover effects that obscure causal relationships between effectiveness of the content pieces and data indicative of activities at the one or more locations;

distributing, according to an automated process, content pieces to a plurality of displays at the one or more locations according to the created playlists and for rendering thereby;

for the data collection period of the generated time-slot samples, collecting data indicative of activities at the one or more locations when the content pieces are presented on the plurality of displays to further reduce location carryover effects that obscure causal relationships between effectiveness of the content pieces and data indicative of activities at the one or more locations;

evaluating effectiveness of the content pieces using the collected data; and

re-distributing, according to the automated process, the content pieces to the plurality of displays for rendering thereby as a function of the evaluated effectiveness of the content pieces.