April 18, 2026

Ecommerce Quiz Examples: How Brands Drive Engagement & Sales

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Guided selling quizzes help ecommerce brands understand what each shopper is looking for and recommend products that match. They improve the buying experience while making it easier for customers to find the right product faster.

The value goes beyond engagement. Quizzes collect zero-party data directly from shoppers — preferences, needs, and intent — which can be tied to customer profiles and used to personalize email, SMS, and on-site experiences. This leads to more relevant messaging, higher conversion rates, and stronger lifetime value.

In this post, we’ll look at how leading ecommerce brands use quizzes to improve product discovery, increase revenue, and turn shopper input into data that drives more effective marketing.

Introduction to Ecommerce Quizzes

Ecommerce quizzes help brands move beyond generic shopping experiences by asking a few focused questions and using the answers to guide shoppers to the right products.

They capture zero-party data directly from customers—preferences, needs, and intent—eliminating the guesswork behind product recommendations. When tied to customer profiles, this data can be used to personalize experiences across your site, email, and SMS.

The result is a more relevant shopping journey. Customers find what they’re looking for faster, and brands see higher conversion rates and stronger engagement without relying on assumptions or incomplete data.

Benefits of Ecommerce Quizzes

Ecommerce quizzes do more than recommend products. They help brands collect useful data, reduce friction in the buying process, and create more relevant experiences for shoppers.

  • Understand your customers with real input
    Quizzes replace guesswork with direct responses. You learn what customers are looking for, what matters to them, and what’s getting in the way of a purchase.
  • Collect data you can actually use
    Quizzes capture zero-party and first-party data directly from shoppers. When tied to customer profiles, this data becomes usable across your marketing stack — without relying on third-party tracking.
  • Improve product recommendations
    Instead of generic suggestions, quiz responses power recommendations based on stated preferences and intent, making them more relevant and more likely to convert.
  • Reduce decision friction
    Quizzes guide shoppers through a structured path, helping them narrow options and make decisions faster — especially in high-choice categories.
  • Create more relevant experiences
    When results reflect what customers actually shared, the experience feels more aligned. This builds trust and encourages repeat engagement.
  • Capture leads as part of the experience
    Quizzes can collect email and SMS opt-ins in a way that feels connected to the value being offered — not separate from it.

Ecommerce quizzes help you collect better data and use it to improve how customers discover, evaluate, and purchase products — leading to stronger conversion and retention over time.

Product Recommendation Quiz Examples

Skincare & Beauty Quizzes

Evereden Fragrance Personality Quiz

Evereden fragrance personality ecommerce quiz example

Evereden's “Fragrance Personality Quiz” is a personalized sensory journey that goes way beyond basic fragrance selection. Instead of overwhelming customers with perfume notes, the quiz asks questions about lifestyle, preferences, and personality traits to create an immersive discovery experience.

The quiz ends with a personalized “Fragrance DNA” score that matches customers with their signature scent based on their unique personality profile. This interactive approach turns product selection into self-discovery and captures rich zero-party data on customer preferences, lifestyle habits, and demographic information. 

Behind the scenes, Evereden uses this data to create highly targeted marketing segments for future personalized communications, resulting in much better email marketing performance.

Apparel & Fashion Quizzes

ThirdLove Fit Finder Quiz

ThirdLove bra fit finder quiz

Many shoppers don’t know their correct bra size, making online shopping difficult. ThirdLove addresses this with its “Fit Finder Quiz,” which guides customers to the right size and style based on how their current bras fit.

The quiz uses clear visuals and focused questions — such as how cups fit or where discomfort occurs — to help customers identify common issues like gaping, tight bands, or slipping straps. This makes it easier for shoppers to describe their needs and get accurate recommendations.

At the end, customers receive personalized product suggestions along with an incentive to purchase. At the same time, ThirdLove captures zero-party data that can be tied to customer profiles and used to improve future targeting across email and SMS.

Supplement & Health Quizzes

Obvi

Obvi supplement quiz example

Obvi's supplement quiz addresses a common pain point in the wellness industry: having too many options when choosing the right products. Their own quiz starts with a few target questions about specific wellness goals, such as weight management, better sleep, increased energy, or beauty-focused benefits for hair, skin, and nails.

The guided assessment asks about current lifestyle factors, dietary restrictions, and specific health concerns to match shoppers with product recommendations from their entire collagen supplement line. Instead of browsing through dozens of options, customers get personalized recommendations for products like Collagenic Burn Elite, Collagen Hydration, or their specialized Hello and Goodbye formulas. 

Obvi initially launched their quizzes with another provider, Octane AI, but ran into limitations early on and switched to Digioh.

How Obvi switched from Octane AI to Digioh for product recommendation quiz

Pvolve

Pvolve fitness equipment quiz example

Pvolve's fitness equipment quiz helps customers find the right gear for their workout goals in seconds.

This functional fitness brand, endorsed by Jennifer Aniston, uses its product quiz to match customers with the perfect equipment package by asking targeted questions about their workout experience, the problem areas they want to address (thighs, core, upper body), and available workout space, then recommends personalized equipment bundles. The quiz plays an important part in their ecommerce funnel by driving conversions while providing detailed segmentation data for highly targeted retargeting campaigns.

Lead Generation Quiz Examples

Email & SMS Opt-in Quizzes

SmileSet

SmileSet quiz with email / sms opt in

SmileSet uses a quiz to guide product recommendations while qualifying leads for its at-home aligner treatment.

Shoppers start by answering questions about their specific concerns — such as crooked teeth, gaps, or crowding. The quiz then asks for a zip code to confirm service availability, filtering out unqualified traffic early.

Once relevance is established, the quiz collects contact information in exchange for personalized “Smile Results” and an offer. This approach ensures SmileSet captures higher-intent leads while providing clear value at every step.

Loyalty & Rewards Quizzes

Melissa & Doug

Melissa & Doug gift finder quiz example

Toy retailer Melissa & Doug created their quiz to help parents and gift-givers find the perfect gift for the child. Customers answer questions about the child's age, interests, and developmental stage to get expert product recommendations.

What makes this quiz unique is its integration with their Play Perks loyalty program powered by Yotpo. Customers earn 200 points just for taking the quiz, which they can later redeem for discounts on purchases. This gamified approach encourages engagement while capturing super valuable segmentation data about their customers' children and gift-giving habits.

Gifting & Holiday Quiz Examples

Holiday Gift Finder Quizzes

Jewlr

Jewlr's gift quiz takes the stress out of jewelry shopping by asking about the gift-giving occasion (birthday, anniversary, etc.) and the recipient's relationship to the shopper.

What makes this product quiz so effective is how it shifts the focus from technical jewelry details to emotional connection. Instead of asking about metal or gemstone preferences, it asks about the recipient's style, personality, and the sentiment the giver wants to express. 

By delivering personalized product recommendations and real-life examples with streamlined add-to-cart functionality, this effective quiz solves customer pain points, captures zero-party data, grows their marketing list, and increases conversions, especially during peak holiday seasons.

Subscription Box Match Quizzes

Bailey’s CBD

Bailey's pet CBD quiz example

Finding the right CBD products for pets can be overwhelming for pet owners. Bailey's CBD solves this problem with a comprehensive product recommendation quiz that matches pet owners with products.

The quiz asks detailed questions about the pet's species, size, age, and the specific concerns the owner wants to address (e.g., anxiety, joint pain). What makes this quiz strategy so powerful is its multi-channel integration. The quiz is powered by Digioh, integrated with Skio for subscription management, and embedded in their mobile app, which is powered by Tapcart. This creates a seamless guided shopping experience, no matter where or how shoppers interact with the brand.

Best Practices for Creating High-Performing Quizzes

Design Engaging Questions

The most effective ecommerce quizzes use clear, well-structured questions that feel natural to answer. Keep the tone straightforward and conversational — similar to how a shopper would be guided in-store.

Use images where they add clarity, especially for fit, style, or product features. Visuals help shoppers make faster decisions and improve completion rates by reducing ambiguity.

Strike the Right Balance With Quiz Length

Rather than aiming for a fixed number of questions, consider the shopper journey and the type of product you offer. For many brands, a short product quiz works well, but high-consideration products might benefit from longer quizzes to build shopper confidence.

Tips for structuring an effective product recommendation quiz:

  • Map out quiz pathways: Start with the questions that provide core insights, then determine branching paths based on responses. This approach allows you to collect more data without showing every question to every shopper.‍
  • Use conditional logic: Branching lets shoppers see only the questions relevant to them. For instance, if a shopper has sensitive skin, direct them to follow-up questions while others skip ahead.
  • Keep the total question load in mind: Even if your quiz technically has 20+ questions on the backend, each shopper may encounter only a fraction of them due to branching.
  • Consider follow-up quizzes: Start with a quick quiz, then use email follow-ups to capture more data over time. This approach keeps the initial quiz brief while gradually deepening insights.

If you’re unsure where to start, AI tools like ChatGPT or Perplexity can help generate question ideas and outline basic quiz flows. They’re useful for getting a first draft in place.

From there, refine the questions to match your product, customer, and brand voice. The goal is to make sure every question is relevant and leads to a clear outcome.

Use progress indicators to set clear expectations and show shoppers how much is left. A simple progress bar can improve completion rates by reducing uncertainty.

Keep the experience on-brand without overdoing it. A clear, easy-to-follow quiz will perform better than one that prioritizes personality over usability.

Offer Personalized Results & Optimize CTA

Your quiz results page is where recommendations turn into action. Make sure it clearly connects the shopper’s responses to the products you’re showing.

Include concise product details, relevant social proof, and a clear next step — whether that’s adding to cart or exploring more options. If you use offers, keep them straightforward and tied to the recommendation to encourage immediate follow-through.

Integrate With Tech Stack (E.g., Email & SMS Marketing)

Connect your product quiz data directly to your loyalty, ESP, and SMS platforms, as well as other tech, to enable automated, personalized follow-up sequences based on quiz answers. 

Digioh's pre-built Klaviyo flows make it easy to send the quiz results email. These emails achieve 60-80% open rates, 10-20% CTRs, and often drive 2% of total online revenue, converting 3-5% more shoppers.

Integrations also enable targeted messaging in the future, continuing the personalized experience.

Optimize for Mobile Users

Most shoppers browse on mobile, so ensure your quiz is responsive, loads quickly, and features a touch-friendly UI to ensure customer satisfaction. Test thoroughly across devices to provide a seamless experience regardless of screen size.

Digioh Quiz Builder Features

Digioh’s product recommendation quiz builder is designed for ecommerce brands seeking more than a plug-and-play tool.

Ecommerce stores use Digioh's quiz builder to implement product quizzes that enhance personalization and boost sales, engaging customers and guiding them to the right products. Whether you’re guiding shoppers to the right product or powering your personalization strategy, Digioh gives you the flexibility to build exactly what you need with zero limitations and full control.

Customizable Quiz Design and Branding Options

Digioh will help create your quiz using your design assets, branding guidelines, custom fonts and colors, and creative vision, so your quiz matches your brand's visual identity and feels native to your site. The drag-and-drop editor makes it easy to build and iterate, and it also lets you add custom CSS/HTML.

Affordable and Flexible Pricing Structures

With Digioh, you'll get unlimited access to our entire suite of products for one flat fee (vs. paying per seat or paying more as your business grows). That means you can build as many pop-ups, ecommerce quizzes, forms, surveys, and landing pages as you like.

360° Analytics

Track every interaction with detailed analytics that show completion rates, question-by-question engagement, drop-off points, and more. This data enables you to discover trends in customer preferences, identify areas for optimization, and make data-informed decisions to enhance conversion rates.

Segmentation

Digioh's quizzes help you collect data that powers segmentation. Every quiz response can be passed to your email, SMS, and ad platforms to build precise audience segments. From new subscribers to returning buyers, you can personalize campaigns based on each shopper's preferences, needs, or behaviors.

A/B and Multivariate Testing

Not sure which headline converts better? Want to test different product image layouts or CTA button copy? With Digioh's built-in A/B and multivariate testing tools, you can run experiments across your quiz experience to uncover what resonates and keep optimizing for results.

Multi-Step Quiz Logic

Digioh gives you unlimited logic conditions to personalize ecommerce quizzes based on individual answers. From advanced branching and weighted scoring to calculations and answer recall, you can guide each visitor through a path that feels intuitive, relevant, and helpful, making it easier for them to buy.

Integrations with Shopify, ESPs, CRMs, and SMS Tools

Digioh integrates with over 400 platforms across your existing tech stack, including:

  • Ecommerce platforms like Shopify and Magento 
  • ESPs like Klaviyo and Braze 
  • SMS platforms like Attentive and Postscript 
  • Subscription platforms like Skio and Recharge
  • Reviews and Loyalty platforms like Friendbuy and Yotpo

Digioh makes it easy to activate your data in the tools you already use.

IGK Hair Grew Color Sales by 30% With a Guided Selling Quiz Powered by Digioh

Hair color brand IGK Hair faced a common problem: how to help online customers find the right hair color products without in-store consultation. By creating a Digioh quiz that asked about current hair color, desired results, and styling preferences, they created a virtual consultation experience that mimicked in-store expertise.

By partnering with Digioh, IGK Hair saw:

  • 30% increase in color product sales
  • 19% higher average order value for quiz takers
  • 137% increase in online conversion rate

The quiz played a key role in boosting conversion rates for IGK Hair by providing personalized product recommendations and a streamlined shopping experience.

Quiz Performance Metrics to Track

Engagement Metrics

Track completion rates, clicks on result pages, and drop-off rates. A good quiz should have completion rates of 60%+ and meaningful engagement with result pages.

Conversion Metrics

Measure leads captured, direct sales from quiz takers, and the impact on average order value. Track how personal recommendations from quizzes influence conversion rates and sales, as these tailored suggestions can significantly boost customer engagement and purchasing decisions. Depending on where your ecommerce quizzes are placed and how you’re collecting emails, you should be seeing around a 25% submission rate of email addresses and conversion rates from quiz takers at around 2-3x higher than standard site navigation.

Want to get started with your own ecommerce quizzes to drive engagement and revenue? Request a Digioh demo and see how our quiz builder can collect zero-party data while delivering experiences your customers will appreciate.

Conclusion

Ecommerce quizzes help brands guide shoppers through complex product choices while collecting data they can actually use. Instead of relying on assumptions, you’re capturing preferences and intent directly from customers and using that to improve recommendations.

The most effective quizzes are simple, relevant, and easy to complete. They remove friction from the buying process rather than adding to it, helping customers find the right product faster.

When done well, quizzes do two things at once: they increase conversion rates and generate data that improves how you engage customers across email, SMS, and on-site experiences. That combination — better experiences and better data — is what drives long-term growth.

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