CARRAC Launches "Questionnaire Survey x Affiliate Planning" Utilizing Ozvision's Membership Base
CARRAC has partnered with Ozvision to launch "Questionnaire Survey x Affiliate Planning," a new affiliate operation scheme leveraging the membership base of Ozvision's point mall "Hapitas." This service aims to enhance advertisers' affiliate strategies by utilizing real consumer purchasing behavior data and insights in the era of generative AI.
📋 Article Processing Timeline
- 📰 Published: March 31, 2026 at 21:00
- 🔍 Collected: April 1, 2026 at 13:39 (16h 39m after Published)
- 🤖 AI Analyzed: April 22, 2026 at 04:40 (495h 0m after Collected)
CARRAC Inc. (Headquarters: Minato-ku, Tokyo; Representative Director: Yoshiki Suezawa; hereinafter "CARRAC") has partnered with Ozvision Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Ryo Suzuki) to begin offering "Questionnaire Survey x Affiliate Planning," a new affiliate operation scheme that utilizes consumer insights.
As traditional operations become challenging to yield results due to the evolution of search algorithms and generative AI, this service provides operational design based on real consumer voices for advertisers aiming to implement new affiliate programs or enhance existing measures.
This scheme leverages the survey function of "Hapitas," a point mall operated by Ozvision. With a purchasing data foundation of 6 million members (as of end of March 2026), it visualizes the decision-making processes and insights of "consumers who actually compared, considered, and purchased" with high resolution.
The acquired insights are combined with CARRAC's nearly 20 years of affiliate operation knowledge and specifically implemented into appeal axis design, article composition, LP improvement, and keyword strategy. A key feature is the ability to reflect primary data linked to purchasing behavior into operational improvements, rather than just opinion surveys.
### Background of Service Provision
With the spread of generative AI, consumer information gathering behavior is shifting from "searching on search engines" to "consulting AI."
Currently, affiliate media accounts for a large proportion of the information sources referenced by generative AI, and affiliate marketing is beginning to play a role not just as an acquisition channel, but as an "information source evaluated and spoken of by AI."
In such market changes, what is required is a "competitive strategy beyond just SEO rankings" and "content design that is correctly evaluated by AI." However, to deliver information more accurately to consumers, it is essential to design the information itself from a "consumer-centric" perspective.
■ Traditional Challenges
Previous affiliate operations generally revolved around a PDCA cycle centered on:
- What the advertiser wants to convey and past results
- "Proven sales models" based on established practices
- Web behavior data such as clicks and conversions
- Appeal axis design based on experience
However, web behavior data alone makes it difficult to visualize the "levers of consumer decision-making," such as:
- Why do they hesitate?
- What is the deciding factor?
- Where do psychological hurdles arise?
As traditional operations become challenging to yield results due to the evolution of search algorithms and generative AI, this service provides operational design based on real consumer voices for advertisers aiming to implement new affiliate programs or enhance existing measures.
This scheme leverages the survey function of "Hapitas," a point mall operated by Ozvision. With a purchasing data foundation of 6 million members (as of end of March 2026), it visualizes the decision-making processes and insights of "consumers who actually compared, considered, and purchased" with high resolution.
The acquired insights are combined with CARRAC's nearly 20 years of affiliate operation knowledge and specifically implemented into appeal axis design, article composition, LP improvement, and keyword strategy. A key feature is the ability to reflect primary data linked to purchasing behavior into operational improvements, rather than just opinion surveys.
### Background of Service Provision
With the spread of generative AI, consumer information gathering behavior is shifting from "searching on search engines" to "consulting AI."
Currently, affiliate media accounts for a large proportion of the information sources referenced by generative AI, and affiliate marketing is beginning to play a role not just as an acquisition channel, but as an "information source evaluated and spoken of by AI."
In such market changes, what is required is a "competitive strategy beyond just SEO rankings" and "content design that is correctly evaluated by AI." However, to deliver information more accurately to consumers, it is essential to design the information itself from a "consumer-centric" perspective.
■ Traditional Challenges
Previous affiliate operations generally revolved around a PDCA cycle centered on:
- What the advertiser wants to convey and past results
- "Proven sales models" based on established practices
- Web behavior data such as clicks and conversions
- Appeal axis design based on experience
However, web behavior data alone makes it difficult to visualize the "levers of consumer decision-making," such as:
- Why do they hesitate?
- What is the deciding factor?
- Where do psychological hurdles arise?