Quizive: Quiz & Giveaways

Develop by LAUNCHTIP

$29.99-$79.99

/ Month

Free plan available

Launch an AI-powered product recommendation quiz in minutes

Customizable design

Ai-powered quizzes

Automated product matching

In-depth insights

About Quizive: Quiz & Giveaways

Launched Feb 06, 2024

Built by LAUNCHTIP

Email :

[email protected]

Address

RE2 Limited, 128 City Road, London, ENG, EC1V 2NX, GB

Website Support Portal Privacy policy FAQ Document

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Description

Convert more with tailored product recommendation quizzes powered by AI, surveys and giveaways.

Turn browsers into buyers with interactive quizzes that offer prizes and personalized product matches. Create compelling giveaway contests in minutes with our drag-and-drop quiz builder. Merchants can easily set up product-matching quizzes that reward participation with special offers, discounts, or free products. Perfect for beauty fit quizzes, style assessments, and product discovery contests. Boost engagement, capture leads, and increase conversions while gathering valuable customer insights.

Create engaging giveaway quizzes with drag-and-drop simplicity
Drive higher engagement with customizable rewards, discounts, and giveaways
Seamlessly integrate with your existing store design and product catalog

Pros

AI-powered product recommendation quizzes allow for hyper-personalized shopping experiences
Automates product matching based on customer responses, eliminating the need for manual mapping
Swift loading time ensures a seamless integration with any storefront
Customizable design aids in matching the quiz to any storefront's style and needs
Provides in-depth insights for merchants to refine their marketing strategies
Enhances customer engagement and conversion rates
Transforms the browsing process into an interactive journey, potentially boosting revenue

Cons

Potential dependency on AI accuracy; if the product recommendations are not accurate, it could lead to customer dissatisfaction
Customizable design may require initial setup time to perfectly integrate with the existing storefront aesthetic and functionality
Over-reliance on technology might reduce personal customer interactions typically valued in product recommendation