EXPERIENCE OPTIMIZATION FOR A WEBSITE USING AUDIENCE SEGMENTATION DATA

• US 20180285901A1
• Filed: 04/03/2017
• Published: 10/04/2018
• Est. Priority Date: 04/03/2017
• Status: Abandoned Application

• Current Assignee: Sincro LLC (Ansira, Inc.)
• Original Assignee: CDK Global Incorporated
• Inventors: Zackrone, Keith
• Application Number:
  US15/478,048
• Publication Number:
  US 20180285901A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0271 Personalized advertisement

Abstract

System and methods for optimizing an experience that a user can have at a website using audience segmentation data. Optimizing an experience can include creating the audience segment, from the consumer data, corresponding to the vehicle model from a plurality of vehicle models; generating a plurality of audience weights based on the sales goals data, the vehicle sales data, and the audience segment; generating an augmented consumer profile based on the plurality of audience weights and a consumer profile derived from the audience segment; applying the augmented consumer profile to personalize content on a dealership webpage; and providing the personalized content to a consumer computing device accessing the dealership webpage to optimize a consumer experience.

Claims

1. A device for experience optimization for a website using audience segmentation data, comprising:

an electronic memory to store consumer data corresponding to a vehicle model, sales goals data for the vehicle model, vehicle sales data for the vehicle model, and an audience segment; and

one or more processing units configured to;

create the audience segment, from the consumer data, corresponding to the vehicle model from a plurality of vehicle models;

generate a plurality of audience weights based on the sales goals data, the vehicle sales data, and the audience segment;

generate an augmented consumer profile based on the plurality of audience weights and a consumer profile derived from the audience segment;

apply the augmented consumer profile to personalize content on a dealership webpage; and

provide the personalized content to a consumer computing device accessing the dealership webpage to optimize a consumer experience.

2. The device of claim 1, wherein the consumer data comprise web analytics data.

3. The device of claim 1, wherein the sales goals data describe a desired quantity of sales of the vehicle model.

4. The device of claim 1, wherein the vehicle sales data describe an actual quantity of sales of the vehicle model.

5. A computer-readable storage medium having stored thereon instructions that, when implemented by a computing device, cause the computing device to:

create, at a first computing device, a plurality of audience segments, from consumer data, corresponding to vehicle models;

generate, at a second computing device, a plurality of audience weights based on sales goals data for the vehicle models, vehicle sales data for the vehicle models, and the plurality of audience segments;

generate, at a third computing device, a plurality of augmented consumer profiles based on the plurality of audience weights; and

apply the plurality of augmented consumer profiles to personalize content on a dealership webpage hosted on a fourth computing device and to optimize a consumer experience.

6. The computer-readable storage medium of claim 5, further comprising instructions to generate default content for a consumer with a default profile based on the plurality of augmented consumer profiles.

7. The computer-readable storage medium of claim 5, further comprising instructions to generate content associated with an interest for a consumer with a profile comprising the interest based on the plurality of augmented consumer profiles.

8. The computer-readable storage medium of claim 5, further comprising instructions to generate content associated with a vehicle model for a consumer with a profile comprising the vehicle model based on the plurality of augmented consumer profiles.

9. The computer-readable storage medium of claim 5, further comprising instructions to generate a sales target ratio by comparing the sales goals data to the vehicle sales data.

10. The computer-readable storage medium of claim 9, further comprising instructions to join the plurality of audience segments, the sales goals data, and the vehicle sales data to generate a sales forecast.

11. The computer-readable storage medium of claim 10, further comprising instructions to compare the plurality of audience segments to the vehicle sales data to generate an audience sales rate.

12. The computer-readable storage medium of claim 11, wherein the instructions to generate the plurality of audience weights comprise instructions to generate the plurality of audience weights based on the sales target ratio, the sales forecast, and the audience sales rate.

13. The computer-readable storage medium of claim 11, further comprising instructions to generate a forecast for a target audience size goal for each of the plurality of vehicle models from the sales target ratio, the sales forecast, and the audience sales rate.

14. The computer-readable storage medium of claim 13, further comprising instructions to generate an audience size gap for each model from the forecast for the target audience size goal and the sales target ratio.

15. The computer-readable storage medium of claim 14, wherein the audience size gap comprises a gap between the target audience size goal needed to meet the sales target ratio and an audience size forecast needed to meet the sales forecast.

16. The computer-readable storage medium of claim 15, wherein the audience size goal is generated from the sales target ratio and the audience sales rate.

17. The computer-readable storage medium of claim 15, wherein the audience size forecast is generated from the sales forecast and the audience sales rate.

18. A method for experience optimization for a website using audience segmentation data, comprising:

creating, at a first computing device comprising a memory and one or more processing units, a plurality of audience segments, from consumer data, corresponding to vehicle models;

generating, at a second computing device comprising a memory and one or more processing units, a plurality of audience weights from sales goals data for each of the vehicle models, vehicle sales data for each of the vehicle models, and the plurality of audience segments;

generating, at a third computing device comprising a memory and one or more processing units, a plurality of augmented consumer profiles from the plurality of audience weights and the plurality of audience segments;

customizing, at a fourth computing device comprising a memory and one or more processing units, content provided to a consumer through a dealership website to generate consumer data and to optimize a consumer experience; and

providing, at the fourth computing device, the consumer data to the first computing device.

19. The method of claim 18, further comprising providing feedback to the first computing device every predetermined time interval.

20. The method of claim 18, wherein providing the consumer data to the first computing device further comprises providing the consumer data to the first computing device in real time.

21. The method of claim 18, further comprising generating web analytics data, at the first computing device, from the consumer data.

22. The method of claim 21, wherein creating the plurality of audience segments from the consumer data further comprises creating the plurality of audience segments from the web analytics data.