CARRAC, a Major Affiliate Marketing Operator, Adopts 'Hapi+as Customer Survey' as Data Foundation for New Scheme
CARRAC, a leading affiliate marketing company, has adopted Ozvision's 'Hapi+as Customer Survey' as the insight extraction platform for its new affiliate marketing scheme, 'Survey x Affiliate Planning.' This scheme leverages real consumer voices to help advertisers create results and drive business growth in the AI search era.
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- 📰 Published: March 31, 2026 at 21:00
- 🔍 Collected: April 1, 2026 at 13:39 (16h 39m after Published)
- 🤖 AI Analyzed: April 22, 2026 at 02:32 (492h 53m after Collected)
Ozvision Co., Ltd. (Headquarters: Shibuya-ku, Tokyo, Representative Director: Ryo Suzuki, hereinafter Ozvision) announces that its research service 'Hapi+as Customer Survey,' which utilizes purchasing and behavioral data, has been adopted by CARRAC Co., Ltd. (Headquarters: Minato-ku, Tokyo, Representative Director: Yoshiteru Suezawa, hereinafter CARRAC) as the insight extraction foundation for its new affiliate operation scheme 'Survey x Affiliate Planning,' which leverages consumer insights.
■ Background of Service Introduction: 'Consumer-Centric Information Design' in the AI Search Era
With the evolution of search algorithms and generative AI, it has become difficult to achieve results with conventional operations alone. In response, CARRAC has begun offering operation design rooted in real consumer voices to advertisers aiming for new affiliate initiatives or enhancing existing measures.
With the spread of generative AI, consumer information-gathering behavior has shifted from 'searching on search engines' to 'consulting AI.' Currently, affiliate media accounts for a large proportion of the information sources referenced by generative AI. Affiliate marketing is no longer just an acquisition channel; it is beginning to play a role as an 'information source evaluated and spoken of by AI.'
In this changing market, what is required is a 'competitive strategy beyond just SEO rankings' and 'content design that is correctly evaluated by AI.' To deliver information more accurately to consumers, it is essential to design information itself from a 'consumer-centric' perspective.
Through this scheme, CARRAC aims to promote advanced affiliate strategies adapted to the AI search era and create valuable decision-making scenarios. To contribute to the sustainable business growth of client companies, they have decided to introduce Ozvision's 'Hapi+as Customer Survey' as their insight extraction foundation.
■ Four Introduction Benefits of the New Scheme 'Survey x Affiliate Planning'
This scheme provides the following four values to advertisers through a process utilizing Hapi+as:
1. [Reduced Missteps in Measures] Visualization of insights based on real voices
Through survey design tailored to product characteristics and implementation for Hapi+as members, consumer insights are visualized. By basing measures on 'actual voices' rather than experience, ineffective approaches are suppressed in advance.
2. [CVR Improvement] Concrete reflection of insights in affiliate measures
Based on visualized insights, they are concretely reflected in affiliate measures. By designing content that addresses anxieties and clarifying comparison axes, conversion rates (CVR) are improved.
3. [Improved Reproducibility] Practical operation based on data and rapid PDCA
Even after implementing measures, practical operation based on data and rapid PDCA continues. By being able to explain success factors with data rather than experience, horizontal expansion to other products becomes easy.
4. [Accelerated Decision-Making] Faster internal consensus building with clear evidence
Clear evidence in the form of 'primary consumer data' is obtained, facilitating internal consensus building and accelerating decision-making regarding affiliate investments.
■ Why Hapi+as? An Overwhelming Membership Base that Draws Out 'True Intentions' Directly Linked to Purchase
To achieve precise operational design, insight extraction requires
■ Background of Service Introduction: 'Consumer-Centric Information Design' in the AI Search Era
With the evolution of search algorithms and generative AI, it has become difficult to achieve results with conventional operations alone. In response, CARRAC has begun offering operation design rooted in real consumer voices to advertisers aiming for new affiliate initiatives or enhancing existing measures.
With the spread of generative AI, consumer information-gathering behavior has shifted from 'searching on search engines' to 'consulting AI.' Currently, affiliate media accounts for a large proportion of the information sources referenced by generative AI. Affiliate marketing is no longer just an acquisition channel; it is beginning to play a role as an 'information source evaluated and spoken of by AI.'
In this changing market, what is required is a 'competitive strategy beyond just SEO rankings' and 'content design that is correctly evaluated by AI.' To deliver information more accurately to consumers, it is essential to design information itself from a 'consumer-centric' perspective.
Through this scheme, CARRAC aims to promote advanced affiliate strategies adapted to the AI search era and create valuable decision-making scenarios. To contribute to the sustainable business growth of client companies, they have decided to introduce Ozvision's 'Hapi+as Customer Survey' as their insight extraction foundation.
■ Four Introduction Benefits of the New Scheme 'Survey x Affiliate Planning'
This scheme provides the following four values to advertisers through a process utilizing Hapi+as:
1. [Reduced Missteps in Measures] Visualization of insights based on real voices
Through survey design tailored to product characteristics and implementation for Hapi+as members, consumer insights are visualized. By basing measures on 'actual voices' rather than experience, ineffective approaches are suppressed in advance.
2. [CVR Improvement] Concrete reflection of insights in affiliate measures
Based on visualized insights, they are concretely reflected in affiliate measures. By designing content that addresses anxieties and clarifying comparison axes, conversion rates (CVR) are improved.
3. [Improved Reproducibility] Practical operation based on data and rapid PDCA
Even after implementing measures, practical operation based on data and rapid PDCA continues. By being able to explain success factors with data rather than experience, horizontal expansion to other products becomes easy.
4. [Accelerated Decision-Making] Faster internal consensus building with clear evidence
Clear evidence in the form of 'primary consumer data' is obtained, facilitating internal consensus building and accelerating decision-making regarding affiliate investments.
■ Why Hapi+as? An Overwhelming Membership Base that Draws Out 'True Intentions' Directly Linked to Purchase
To achieve precise operational design, insight extraction requires