US 12,132,947 B2
Systems and methods for attributing TV conversions
Michael D. Swinson, Los Angeles, CA (US); and Lin O'Driscoll, Mammoth Lakes, CA (US)
Assigned to TATARI, INC., San Francisco, CA (US)
Filed by TATARI, INC., San Francisco, CA (US)
Filed on Aug. 16, 2023, as Appl. No. 18/450,676.
Application 18/450,676 is a continuation of application No. 17/977,486, filed on Oct. 31, 2022, granted, now 11,770,570.
Application 17/977,486 is a continuation of application No. 17/533,214, filed on Nov. 23, 2021, granted, now 11,503,351, issued on Nov. 15, 2022.
Application 17/533,214 is a continuation of application No. 16/365,448, filed on Mar. 26, 2019, granted, now 11,212,566, issued on Dec. 28, 2021.
Claims priority of provisional application 62/647,964, filed on Mar. 26, 2018.
Prior Publication US 2023/0396822 A1, Dec. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 21/81 (2011.01); H04N 21/24 (2011.01); H04N 21/25 (2011.01); H04N 21/431 (2011.01)
CPC H04N 21/251 (2013.01) [H04N 21/2407 (2013.01); H04N 21/4312 (2013.01); H04N 21/812 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
merging, by a computer, online data and offline data aggregated over a period of time, wherein the merging produces merged data that provides a minute-by-minute account of what occurs online and offline;
establishing a baseline of visitor traffic to an online medium, the baseline of visitor traffic including unique visitor (UV) sessions initiated at the online medium within an attribution window of time for a spot that aired on an offline medium, and whether a conversion event occurred at the online medium in the each of the UV sessions;
assigning a session timestamp for each conversion event that occurred at the online medium in a respective UV session;
determining, by the computer, an overall conversion rate of UVs to the online medium in the attribution window of time using any assigned session timestamps for respective conversion events;
determining, by the computer on a minute by minute basis, an overall conversion rate relative to a lift in the UVs to the online medium in the attribution window of time correlating with the spot that aired on the offline medium; and
generating, by the computer, a visualization of attribution by the spot that aired on the offline medium to the overall conversion rate of UVs to the online medium in the attribution window of time.