Skincare
Skincare Routine Finder
Help shoppers find the right cleanser, serum, moisturizer and SPF by skin type, goal and budget.
Build a product quiz that guides shoppers to the right product, captures zero-party data, and turns answers into shoppable recommendations. Start with AI or pick a template.
Add a topic to continue.
Questions stream in one by one. The editor is warming up underneath.
Warming up the model...
Opening the editor with your questions...
On the Quiz tab, write 5 to 8 short questions about the shopper. Ask only the questions that change the recommendation: goal, skin or hair type, size, fit, budget, gift recipient, use case. Keep filler off the page. The same question pattern works for any personality quiz where answers map to outcomes.
Open the Types tab and add each product, bundle, routine or plan as an outcome. Drop in product images, a one-line "why we recommend this" and the link or cart URL you want the shopper to land on.
Still in the Types tab, click the green Match Answers to Product button on each product. A pop-up lists every question. Click the answer that points to that product, then OK. Repeat for every outcome. That is the scoring done.
Save the quiz, then open the Share tab to copy the embed code for your Shopify or WooCommerce store, or grab the direct link for email and ads. Or skip the manual flow and let our AI quiz generator from a prompt draft the questions, products and result pages in about a minute.
Trusted by 5,000+ brands and ecommerce stores
A product recommender quiz for pet retailers, breeders and adoption platforms. Eight questions on lifestyle, living space, energy level and grooming tolerance route the shopper to one of four breed shapes, then anchor the lead to the matched profile.
Live examples across beauty, apparel, food and home. Take any one to see the result page in action, then click "Use as template" to start with the same shape.
Beauty · Skincare · Haircare
Skincare
Help shoppers find the right cleanser, serum, moisturizer and SPF by skin type, goal and budget.
Haircare
Match the shopper to a hair routine by hair type, main concern and styling habits.
Cosmetics
Routes shoppers to the right foundation shade and finish by tone, undertone and coverage.
Fragrance
Recommends a scent family by mood, wear occasion and note preference.
Apparel · Footwear · Jewelry
Fashion
Maps the shopper to a style capsule by fit preference, occasion and priorities.
Footwear
Picks the right shoe by use case, surface, cushioning preference and foot width.
Jewelry
Recommends a jewelry gift by recipient, occasion, style and budget.
Accessories
Picks a watch or accessory by style, lifestyle and budget.
Coffee · Wine · Tea · Wellness
Coffee
Recommends a bean and subscription cadence by brew method, roast and flavor notes.
Wine
Recommends a varietal by taste profile, food pairing and occasion.
Tea
Picks a tea blend by mood, caffeine preference and flavor profile.
Wellness
Builds a supplement bundle by wellness goal, format and dietary preference. Not medical advice.
Home · Pet · Subscription
Sleep
Routes shoppers to the right mattress by sleep position, support preference and budget.
Pet
Recommends a pet food formula or subscription by life stage, size and texture. Not veterinary advice.
Home
Recommends an indoor plant by light, watering and care level.
Subscription
Matches shoppers to a subscription box by interest, budget and delivery frequency.
Static "you may also like" rows are passive. A product quiz asks the shopper, then routes the result. Same recommendation goal, very different ask, very different data captured.
Format A
Interactive. Asks the shopper. Routes to one match.
Format B
Passive. Browses behavior. No shopper input.
You can run both. A product quiz earns the email and the segmentation; a static recommender keeps merchandising fresh between visits. For a softer, identity-driven format that fits content sites and creators, the personality quiz maker uses the same engine with different result-page voice.
A product finder quiz for phone retailers, carriers and refurb shops. Eight questions on camera priority, gaming, battery and budget sort the shopper into one of four phone categories, then route them straight to the matching collection.
A product finder quiz asks a few preference, fit or budget questions and routes each shopper to the right item, bundle, routine or plan. Quiz Maker handles the questions, the scoring and the result page in the same editor.
Same builder, same scoring, different category. Ship a finder for your catalogue in an afternoon.
Sort shoppers by skin type, goal and budget into the cleanser, serum, moisturiser and SPF that fit.
7 questions · 5 outcomesRecommend a bean and grind by brew method, flavour notes and how often they brew.
6 questions · 5 outcomesRoute shoppers by sleep position, support preference and size into a single matched mattress.
7 questions · 4 outcomesTurn recipient, occasion and budget into a curated bundle the shopper can buy in one click.
6 questions · 5 outcomesEvery one of these is a product finder quiz built on the same editor. Pick the shape that fits your catalogue, edit the questions and ship.
Drop the product recommendation quiz on a product page, collection page, landing page or popup. Route shoppers to product pages, cart links or recommended bundles the moment they see their match.
Push answers and emails into Klaviyo, Mailchimp or HubSpot through Zapier-style workflows. No code, no theme edits.
A product recommender quiz for jewelers and DTC ring brands. Eight questions on setting, metal, stone shape and lifestyle sort the shopper into one of four ring styles, then drop them on the matching collection with their style profile captured.
Five to eight questions, every one of them changing the recommendation. Use these four shapes and the product finder quiz almost writes itself. Skip the rest.
Goal
The first question on a product quiz should declare intent. The goal answer carries the most weight in the scoring map. Get it right and the other questions only refine.
Type, style or fit
Once you know the goal, ask about the shopper. Type and fit answers narrow the catalog from hundreds of SKUs to a short list of plausible matches.
Sensitivity, budget or use case
The constraints. Sensitivity flags rule out half the catalog instantly. Budget and use case decide tier and bundle. Without these, every result reads like an upsell.
Decision drivers
The last question is for the shopper, not the algorithm. Decision drivers surface what tips a hesitant buyer into adding to cart. Use the answer on the result page and in the follow-up email.
Anti-pattern
If the answer cannot change which product the shopper sees, the question does not belong on a product recommendation quiz.
Attribution belongs in checkout or analytics, not the recommendation funnel. Asking it on question one tells the shopper this is really a form. Completion drops when the first question is an attribution survey.
"Have you heard of us?" or "Do you follow us on Instagram?" is the store talking, not the shopper. The quiz exists to learn about the shopper. Save brand questions for the post-purchase email.
Age, gender, location and income belong only when the answer actually routes the product. Otherwise it is just a profile-builder, and shoppers can feel it. Ask demographic questions after the result is earned, or skip them.
Free-text fields collapse completion. Most product quiz traffic is mobile and most shoppers will not type a paragraph. Replace open text with a 4 to 6 option pick. The catalog will not miss the nuance.
"Which animal are you?" is great for a personality quiz and noise on a product quiz. The shopper came to buy. Identity questions add length without adding signal. Keep the format honest about the trade.
Returning customer? Skip the goal question and prefill from the last quiz answer. Cart already loaded? Skip the budget question. The fastest product finder quiz is the one that asks only what it does not already know.
For the question prompts that draft these shapes in seconds, see the AI quiz tool. For a deeper library of shapes by category, browse the quiz examples and templates.
A diagnostic product finder quiz for haircare brands. Eight questions on texture, density, porosity and styling habits sort the shopper into one of four hair types, then route them to a starter routine matched to that profile.
Six steps from blank page to embedded product finder quiz, every one a real action you take inside the Quiz Maker editor. No code, no app install.
Decide what the quiz is sending the shopper to: a single product, a bundle, a routine or a subscription plan. Start with what already drives revenue in your store, not what you wish drove revenue.
On the Quiz tab, add 5 to 8 short questions about the shopper: goal, type, fit, sensitivity, budget, use case. If an answer cannot change which product wins, cut the question. Five tight questions beat eight tired ones.
Open the Types tab and add each product, bundle or routine as a named outcome. Give each outcome a real name (Hydrating Repair Routine, Daily Defense Bundle), not "Routine A". Named outcomes are shareable and saveable.
Still on the Types tab, click the green Match Answers to Product button on each product. A pop-up lists every question. Click the answer that points to that product, then OK. Repeat for every outcome. That is the scoring done.
For every outcome, drop in a product image, a one-line "why we recommend this" and the link or cart URL. Add a clear primary CTA like "Shop the routine" plus a soft secondary like "Email me my result". A result page without imagery and a CTA bounces.
Open the Share tab, copy the embed code, and drop it on a Shopify product page, a WooCommerce landing page or a homepage hero. Track completion, email opt-in, post-quiz add-to-cart and revenue per quiz visitor weekly.
Want the same walkthrough across other formats? Read how to make a quiz for the general flow, or let our generator handle the questions and outcomes in about a minute.
A fragrance finder quiz for cologne brands, niche perfumeries and DTC scent boxes. Eight questions on scent family, season, occasion and personality sort the shopper into one of four fragrance profiles, then route them to the matching collection with their scent profile captured.
Six composite case studies modeled on the public ecommerce quiz benchmarks Octane AI, Interact and Klaviyo have published. The brand names are illustrative; the metrics are the category averages their reports cite, so you can pressure-test the quiz business case against numbers your CFO can verify.
A skincare brand runs a routine-finder quiz against the same paid traffic as its product pages. Published ecommerce quiz benchmarks consistently show quiz landing pages outperforming product pages on conversion, with quiz-recommended bundles raising average order value over single-product carts. The quiz becomes the highest ROAS landing page in the store.
Source: Octane AI quiz vs product page benchmarkA haircare brand replaces the homepage popup with a five-question hair-type quiz. Email opt-in typically rises sharply when the email ask is paired with a value-first result reveal, and the shopper's hair type, porosity and styling habits are captured as CRM fields the day-one welcome email can use by name.
Source: Octane AI product quiz benchmarkA coffee subscription routes shoppers through brew method, roast preference and weekly volume, then shows a Good, Better, Best tier with the matched roast in each band. Tiered quiz outcomes typically push the majority of shoppers toward the middle or premium tier, lifting blended subscription value without changing the catalog.
Source: Octane AI tiered recommendation dataA direct-to-consumer mattress brand finds shoppers stall on compare-all pages with six firmness options. A six-question product finder quiz on sleep position, partner, climate and back history routes the shopper to one matched bed plus a topper bundle. Personalized quiz recommendations typically earn much higher click-through than generic "related products" rows.
Source: Octane AI personalization benchmarkAn apparel brand swaps the size dropdown for a six-question fit quiz: body type, preferred fit, usual size in three reference brands, and intended use. Published benchmarks show quiz landing pages converting well above standard product pages, and the captured fit profile feeds the post-purchase email so the second order is pre-sized.
Source: Octane AI quiz conversion benchmarkA pet brand routes shoppers through breed, age, weight and dietary sensitivity, then writes every answer into a named Klaviyo field. The post-quiz email flow sends a personalized food plan and refill cadence. Quiz-fed personalized flows tend to lift revenue per recipient meaningfully over generic flows.
Source: Octane AI quiz-to-Klaviyo benchmarkComposite examples. Brand names are illustrative; the quoted metrics are category benchmarks from the linked third-party reports. Your own numbers will move with catalog, traffic source and result-page voice.
A product recommendation quiz is an interactive quiz that asks shoppers a short set of questions about their goal, preference, fit, sensitivity, budget or use case, then routes them to a matching product, bundle, routine or plan. Instead of making the visitor browse every SKU, the quiz acts like a digital shopping assistant. Quiz Maker handles the questions, the scoring, the result page and the embed in a single editor and a single account.
They are usually the same thing under two different names. "Product recommendation quiz" describes the outcome (we recommend X to you). "Product finder quiz" describes the shopping experience (you find your right product). Both run on the same engine: a small number of preference questions feed an outcome map that points at one product, one bundle, one collection or one plan. Pick whichever phrase your shoppers and your category use.
Yes. The entire flow is no-code: write the questions on the Quiz tab, add the products on the Products tab, map each answer to the right outcome, then publish. Embed lives behind a single Share tab as a script tag (not an iframe) so it slots into Shopify, WooCommerce, WordPress, Webflow, Wix, Squarespace or a plain HTML page without touching the theme. The live demo above runs on the exact same no-code builder.
Five to eight questions is the right band for most ecommerce stores. Each question should change the recommendation. Skin type, goal, budget, size, fit, sensitivity, scent preference, use case and gift recipient are the question shapes that earn their place; brand awareness or "how did you hear about us" questions do not and they hurt completion. If you cannot honestly say a question shifts the result, cut it.
Yes. Embed the quiz on a Shopify or WooCommerce product page, collection page, landing page or homepage with a single script tag and no app install. Results can link to product pages, collection pages, cart links or bundles so shoppers can act in one click. Answers and emails sync to Klaviyo, Mailchimp, HubSpot or any tool that accepts a tagged contact, via native integrations or Zapier-style workflows. The quiz is the universal layer; your existing store stack stays in place.
Yes. You can ask for email before the result page or after it, with a skip option. The conversion pattern that works best for ecommerce is value-first: show the recommendation, then offer to email the shopper their result, a one-time discount or a saveable routine. The answers travel with the lead, so the next email already knows skin type, budget or fit. This is zero-party data the shopper chose to share. See the lead generation quiz playbook for the result-page patterns that lift email capture without killing completion.
The shapes that work hardest in ecommerce are: skincare routine finders, haircare product finders, foundation shade matchers, fragrance finders, apparel style and fit finders, running shoe finders, coffee bean finders, mattress finders, gift finders, pet food finders, supplement routine finders and SaaS plan finders. The library above includes live demos for each one so you can take the quiz, see the result page, and click "Use as template" to start with the same shape.