Personalised Beauty Ecommerce Platform with Quiz-Based Product Matching
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Overview
What we built
A beauty brand with over 180 SKUs had a generic ecommerce experience that left customers overwhelmed by choice, abandoning the site or buying the wrong thing and returning it. We anchored the platform around a skin profile quiz instead, and 71% of new visitors now complete it.
In plain terms: this beauty brand sold over 180 SKUs, and a generic ecommerce experience just presented all of them at once. Faced with that much choice, customers either left without buying or guessed, and a lot of those guesses were wrong: return rates ran high because what arrived rarely matched what the customer actually needed. A standard product listing page has no way to narrow 180 SKUs down to the handful that suit one person's skin, so every visitor was left to do that work themselves, and many simply didn't.
We anchored a custom ecommerce platform around a skin profile quiz that turns those 180 SKUs into one personalised product routine per customer. The resulting profile carries through the whole relationship: it personalises the homepage on return visits, shapes email sequences, and drives reorder reminders timed to when a customer is likely running low. Since launch, 71% of new visitors complete the quiz, and those who do convert at 3.4 times the rate of visitors who skip it. Product returns fell from 18% to 6% within four months, and email open rates climbed to 41% once messages were built around each customer's own profile.
The Problem
Choice overload driving abandonment and returns
The brand had built a genuinely wide range, more than 180 SKUs across its beauty line, but the ecommerce experience presenting them was completely generic. Every visitor saw the same catalogue in the same order, with nothing to help them work out which of the 180 options actually suited their skin.
That volume of unguided choice pushed people away before they ever bought anything. Customers arriving with a specific skin concern had to browse a wide, undifferentiated catalogue and make their own guess about what would work, and a generic site gave them nothing to narrow that guess down. Many simply abandoned the site rather than gamble on the wrong product.
The customers who did guess and buy often guessed wrong. Return rates were high, driven specifically by mismatched purchases, products that did not suit the skin they were bought for. Every one of those returns cost the brand twice: once in the lost sale, and again in the customer's confidence that this brand could get it right for them.
Too many SKUs
Over 180 SKUs sat in one undifferentiated catalogue, with nothing steering a visitor toward the handful that actually suited their skin.
Choice overload
Faced with a wide, generic catalogue and no guidance, many customers simply left the site without buying anything at all that day.
Mismatched purchases
Customers who guessed and bought often guessed wrong, and mismatched purchases drove a high rate of returns across the beauty range.
No personalisation anywhere
The homepage, emails and reorder reminders all treated every customer the same, missing the chance to speak to their actual skin profile.
What it was costing them
High returns on mismatched purchases meant paying twice for the same sale, in fulfilment and again in reverse logistics, on a catalogue of more than 180 SKUs where getting the match wrong was easy. Every visitor who abandoned the site overwhelmed by choice was a sale lost outright, and every generic email or homepage view was a missed chance to bring a browsing customer back.
The Solution
Quiz-led personalised commerce platform
We built a custom ecommerce platform anchored around a skin profile quiz, so the first thing a new visitor does is answer a few questions rather than scroll a catalogue of 180 SKUs unaided. The quiz turns those answers into a personalised product routine, narrowing the whole range down to what actually fits that one person's skin.
The quiz result did not stop at the first purchase. We stored each customer's profile and used it to personalise the homepage on return visits, so a returning customer sees a curated range rather than the full catalogue again. The same profile shapes email sequences and reorder reminders, keeping every message relevant to that specific skin routine.
The result changed the very first decision a visitor makes. Instead of being handed 180 SKUs and asked to choose, they answer a short quiz and are handed a routine already matched to them, which is why quiz-takers convert at a far higher rate than everyone else on the site.
Key decisions
Quiz as the entry point
New visitors meet a skin profile quiz before the catalogue, replacing 180 unguided SKUs with a handful matched to their answers.
One profile, every channel
The same quiz profile personalises the homepage, shapes email sequences and times reorder reminders, so no channel treats the customer as anonymous again.
Personalised homepage on return
Returning customers see a homepage shaped by their own quiz answers instead of the full 180-SKU catalogue everyone else starts from.
Reorder reminders tied to routine
Reminders fire against the routine the quiz generated, prompting a repurchase timed to when that customer is actually likely running low.
Measurable Impact
What changed after launch
The quiz became the platform's front door: 71% of new visitors now complete it, and those who do convert at 3.4 times the rate of everyone who skips it. Turning 180 unguided SKUs into one matched routine per person changed the decision customers were actually making.
Getting the match right also fixed the returns problem: the product return rate fell from 18% to 6% within four months of launch. Personalisation carried into every other channel too, with email open rates climbing to 41% once messages were built around each customer's own skin profile rather than a generic send.
Quiz engagement
No quiz, no guided path through 180 SKUs
71% of new visitors complete the skin profile quiz
Conversion rate
Same conversion for every unguided visitor
Quiz-takers convert at 3.4 times the site average
Return rate
18% of purchases returned as mismatched
Return rate cut from 18% to 6% in four months
Email engagement
Generic email sends to every customer
Open rates climbed to 41% with profile personalisation
Headline results
Quiz completion rate of 71% among new visitors
Customers entering via the quiz converted at 3.4x the rate of non-quiz visitors
Product return rate reduced from 18% to 6% within 4 months
Email open rates increased to 41% due to profile-based personalisation
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