Multi-channel conversion path position reporting

• US 8,655,907 B2
• Filed: 07/18/2011
• Issued: 02/18/2014
• Est. Priority Date: 07/18/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Hsiao, Sissie Ling-Ie, Ewald, Eric, Choc, Theodore Nicholas, Tangney, Cameron
• Primary Examiner(s): MENG, JAU SHYA
• Application Number:
  US13/184,772
• Publication Number:
  US 20130021345A1
• Time in Patent Office: 946 Days
• Field of Search: None
• US Class Current: 707/769
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06Q 30/0241 Advertisements

Abstract

Methods, systems, and apparatuses, including computer programs encoded on computer-readable media, for receiving information regarding a plurality of conversion paths. Each conversion path includes one or more user interactions, corresponds to a user, and ends with a conversion interaction. A list of channel groups is received. Each channel group includes a name and one or more group rules that refer to the characteristics of one or more user interactions of the plurality of conversion paths. Each user interaction in the plurality of conversion paths is grouped based upon the list of channel groups. A selection of channels to visualize is received and for each of the selected channels to visualize the user interactions are aggregated based upon the channel group of the user interaction and a position of the user interaction within the conversion path. Information regarding the aggregated user interactions for each of the selected channels is provided.

Claims

1. A method of providing data related to conversion paths, the method comprising:

receiving information regarding a plurality of conversion paths, wherein each conversion path comprises one or more user interactions each user interaction having a corresponding position in the conversion path, wherein the corresponding position of each user interaction in the conversion path is based on a number of user interactions from a conversion interaction or based upon a date of the conversion interaction, wherein a user interaction of the one or more user interactions comprises characteristics that are associated with the user interaction, wherein each conversion path corresponds to a user, and wherein each conversion path ends with the conversion interaction;

receiving a list of channel groups, wherein each channel group comprises one or more group rules, and wherein each channel group comprises a group name;

determining, using a processor, a channel group for each user interaction of each conversion path of the plurality of conversion paths based on the one or more group rules of each channel group of the list of channel groups and the characteristics associated with the user interaction, wherein the determined channel group has a group rule corresponding to a characteristic of the characteristics associated with the user interaction;

aggregating, using the processor, into groups each user interaction of each conversion path of the plurality of conversion paths based on the determined channel group for each user interaction;

receiving a selection of one or more aggregated groups of user interactions to visualize; and

providing display data representative of one of a line chart, a bar chart, a histogram, or a pie chart based on the corresponding position in the conversion path of each user interaction of the selected one or more aggregated groups of user interactions.

2. The method of claim 1, wherein the corresponding position of each user interaction within each conversion path is based on a number of interactions from the conversion interaction.

3. The method of claim 2, further comprising filtering out, prior to determining a channel group for each user interaction, user interactions whose positions are greater than a value.

4. The method of claim 3, wherein the value corresponds to a lookback window.

5. The method of claim 4, wherein the value is less than the lookback window.

6. The method of claim 3, wherein the value is determined such that a pre-determined percentage of user interactions are filtered out.

7. The method of claim 1, wherein each of the plurality of conversion paths corresponds with a cookie that is at least as old as a lookback window.

8. The method of claim 1, wherein the corresponding position of each user interaction within each conversion path is based upon a date of the conversion interaction.

9. The method of claim 8, further comprising filtering out, prior to determining a channel group for each user interaction, user interactions whose date is before a value.

10. The method of claim 9, further comprising filtering out, prior to determining a channel group for each user interaction, user interactions whose date is after a second value.

11. The method of claim 9, wherein the value corresponds to a lookback window.

12. The method of claim 11, wherein the value is less than the lookback window.

13. The method of claim 9, wherein the value is determined such that a pre-determined percentage of user interactions are filtered out.

14. A system comprising:

a data processor; and

a storage device storing instructions that, when executed by the data processor, cause the data processor to perform operations comprising;

receiving information regarding a plurality of conversion paths, wherein each conversion path comprises one or more user interactions each user interaction having a corresponding position in the conversion path, wherein the corresponding position of each user interaction in the conversion path is based on a number of user interactions from a conversion interaction or based upon a date of the conversion interaction, wherein a user interaction of the one or more user interactions comprises characteristics that are associated with the user interaction, wherein each conversion path corresponds to a user, and wherein each conversion path ends with the conversion interaction;

receiving a list of channel groups, wherein each channel group comprises one or more group rules, and wherein each channel group comprises a group name;

determining a channel group for each user interaction of each conversion path of the plurality of conversion paths based on the one or more group rules of each channel group of the list of channel groups and the characteristics associated with the user interaction, wherein the determined channel group has a group rule corresponding to a characteristic of the characteristics associated with the user interaction;

aggregating into groups each user interaction of each conversion path of the plurality of conversion paths based on the determined channel group for each user interaction;

receiving a selection of one or more aggregated groups of user interactions to visualize; and

providing display data representative of one of a line chart, a bar chart, a histogram, or a pie chart based on the corresponding position in the conversion path of each user interaction of the selected one or more aggregated groups of user interactions.

15. The system of claim 14, wherein the corresponding position of each user interaction within each conversion path is based upon a number of interactions from the conversion interaction, wherein the operations further include filtering out, prior to determining a channel group for each user interaction, user interactions whose positions are greater than a value, and wherein the value is determined such that a pre-determined percentage of user interactions are filtered out.

16. The system of claim 14, wherein the corresponding position of each user interaction within each conversion path is based on a date of the conversion interaction, wherein the operations further include filtering out, prior to determining a channel group for each user interaction, user interactions whose date is before a value.

17. A non-transitory tangible computer-readable medium having instructions stored thereon, the instructions executed by a processor to perform:

receiving information regarding a plurality of conversion paths, wherein each conversion path comprises one or more user interactions each user interaction having a corresponding position in the conversion path, wherein the corresponding position of each user interaction in the conversion path is based on a number of user interactions from a conversion interaction or based upon a date of the conversion interaction, wherein a user interaction of the one or more user interactions comprises characteristics that are associated with the user interaction, wherein each conversion path corresponds to a user, and wherein each conversion path ends with the conversion interaction;

receiving a list of channel groups, wherein each channel group comprises one or more group rules, and wherein each channel group comprises a group name;

determining a channel group for each user interaction of each conversion path of the plurality of conversion paths based on the one or more group rules of each channel group of the list of channel groups and the characteristics associated with the user interaction, wherein the determined channel group has a group rule corresponding to a characteristic of the characteristics associated with the user interaction;

aggregating into groups each user interaction of each conversion path of the plurality of conversion paths based on the determined channel group for each user interaction;

receiving a selection of one or more aggregated groups of user interactions to visualize; and

providing display data representative of one of a line chart, a bar chart, a histogram, or a pie chart based on the corresponding position in the conversion path of each user interaction of the selected one or more aggregated groups of user interactions.

18. The non-transitory tangible computer-readable medium of claim 17, the instructions executed by the processor further perform filtering out, prior to determining a channel group for each user interaction, user interactions whose corresponding positions are greater than a value, and wherein the value is determined such that a pre-determined percentage of user interactions are filtered out, wherein the corresponding position of each user interaction within each conversion path is based upon a number of interactions from the conversion interaction.

19. The non-transitory tangible computer-readable medium of claim 17, the instructions executed by the processor further perform filtering out, prior to determining a channel group for each user interaction, user interactions whose date is before a value, wherein the corresponding position of each user interaction within each conversion path is based on a date of the conversion interaction.