Your AI advisor, here to make confident buying effortless
Read the report
Use gen AI to recommend the exact right products to customers, explain why they’re the perfect fit, and answer customer questions to increase conversion rates by up to 200%
The ecommerce data platform trusted by industry leaders
Show customers why they should buy a product based on their use cases and needs, not just specs
Use Interactive quizzes to reduce bounce rates and guide customers to high-converting pages
Provide accurate recommendations that ensure customers are satisfied with their purchase
Collect zero-party data on customer needs that you can’t get anywhere else
Turn technical product specifications into needs-based language, like ‘Good for gaming’ or ‘good for condo owners’, so customers can understand why a product is perfect for them
Instead of customers searching, scrolling, and opening multiple tabs, create dynamic question flows that capture what they need and pairs them with a small selection of products tailored to them
Embed generative AI product advisors on recommendation pages to answer customer questions, explain why products are the right fit, and create personalized product descriptions
Enrich your product data and create question and answer flows
Choose a template or design your own look and feel for the quiz to match your brand
Add your quiz to your ecommerce platform by copy and pasting two lines of code
Test, analyze, and optimize your quiz to boost engagement and conversion
Microsoft uses a product finder and a generative AI product advisor on recommendation pages to help customers choose the right laptop. This experience has increased conversion rates by 29%.
Under Armour's Running Shoe Finder guides you through a curated selection of shoes, ensuring you find the ideal pair based on how and where you run.
Columbia simplifies the journey to finding your ideal jacket. By identifying your must-have features, they guide you to jackets that encompass all your outdoor requirements.
Gardena’s Robotic Lawnmower Advisor guides you through a curated selection of lawnmowers, ensuring you find the perfect fit for your lawn based on size, and smart home capability.
Zoovu delivers AI-powered search, guided selling, configuration, and bundling—all from a single, scalable platform.
Because great products deserve great discovery.
A product recommendation quiz is an interactive online ecommerce tool that collects customer preferences to offer personalized product suggestions, simplifying the shopping experience.
Zoovu’s product recommendation quizzes use AI to analyze the answers that customers communicate with it directly, ensuring recommendations are personalized and relevant, based on the specific information shared by the customers themselves.
Absolutely. The information customers intentionally share during the quiz, is automatically leveraged to recommend additional products and complementary bundles. This strategy naturally encourages customers to consider higher-value options and additional purchases, thereby increasing average order values.
Zoovu’s seamlessly integrates with leading e-commerce platforms, including WooCommerce, Magento, BigCommerce, and Shopify. This compatibility ensures that businesses across various platforms can enhance their online stores with personalized recommendations.
Yes, with support for over 88 languages, Zoovu’s product recommendation quiz is perfectly positioned for international markets, enabling businesses to cater to a wide and diverse audience.
Insights into consumer preferences, motivations, and buying behaviors are all available through Zoovu’s ecommerce analytics platform. These insights are critical for informing product development, refining marketing strategies, and optimizing sales approaches, ensuring that businesses stay aligned with customer needs.
Zoovu adheres to various regulatory standards and industry-specific compliance frameworks, Including SOC 2, GDPR, ADA, CCPA, ISO 27001, and to ensure that your data remains secure and compliant.
See how 150 B2B product journeys reveal what’s broken in digital buying, and how leaders are fixing it.