Open beta: Scan and Match free and unlimited until 31 January. Sign up and get founder pricing.
Compare your product with the launches that won
Match tracks every new product from the day it launches and for six months, both those that win and those that do not. With that, we tell you how similar your listing is and what it is missing. We save each launch's listing exactly as it appears on day one. The exam uses only launch-day data (price, coupons, sellers, brand and date); what the listing text adds is checked later with live hits.
The race from the starting line
- Day 1We save every launch's listing as it first appears: title, bullet points, images, price.
- 6 monthsWe measure which ones end up in the top 20% of their cohort (public definition in Methodology).
- Sealed examWe test the model with launches it has never seen, with the rules registered before looking at the result.
The sealed exam
Each category under analysis has its own exam: the rules are sealed on one date and the model is tested on a later one, with launches it has never seen. We publish every result, whatever it is, in Methodology. Until its exam is published, a category's Wintraits Match Index is a comparison with the winners, not a probability of sales. Each category's page shows where it stands.
Categories with Match
- Face serums · Amazon Spain
Available · sealed exam - Face moisturisers · Amazon Spain
Match · descriptive, no exam yet - Manual shaving
On the way · in Scan today - Eye creams
On the way · in Scan today - Air fryers
On the way · in Scan today - Face cleansers
On the way · in Scan today - Hair masks
On the way · in Scan today - Face masks
On the way · in Scan today
The next ones come from Scan: where there are clear patterns and more interest, we do Match.
Being confirmed: 61 candidate patterns. Each one has to repeat in two 8-week periods with new launches before it is published. How it works →
Each category, phase by phase
Each category and country has its own model. It goes through four phases (download, read listings, train and sealed exam). We only publish a category when it meets our publication rules; the rest are still under study.
Face serums
Amazon SpainFace moisturisers
Amazon SpainEye creams
Amazon Spain4,619 downloaded · 0 queued
Sunscreens
Amazon Spain8,335 downloaded · 0 queued
Face cleansers
Amazon Spain30,993 downloaded · 0 queued
Face masks
Amazon Spain11,056 downloaded · 0 queued
Hair masks
Amazon Spain2,191 downloaded · 0 queued
Face serums
Amazon Italy13,720 downloaded · 0 queued
Face serums
Amazon Germany12,771 downloaded · 0 queued
Day creams
Amazon France27,468 downloaded · 0 queued
Eye creams
Amazon France5,957 downloaded · 0 queued
Hair masks
Amazon France2,098 downloaded · 0 queued
Hair masks
Amazon Germany3,668 downloaded · 0 queued
Air fryers
Amazon Spain16,953 downloaded · 0 queued
Hand and jug blenders
Amazon Spain16,624 downloaded · 16,900 queued
Frying pans
Amazon Spain0 downloaded · 37,097 queued
Electric toothbrushes
Amazon Spain0 downloaded · 5,396 queued
Dumbbells
Amazon Spain0 downloaded · 3,138 queued
A sample report
A sample listing, diagnosed just now by the model.
What does each axis measure?
- Formula and actives
- What the product contains and how much: the active ingredients the listing highlights, the concentration of the main one, how many different actives it has and the sun protection factor (SPF), if any. Example: “Serum with 15% vitamin C and ferulic acid” scores on this axis; a “moisturising face serum” with no named actives does not.
- Format and use
- What the product is like and how it is used: packaging, texture, time of use, application, skin or hair type it targets, volume and units per pack. Example: “30 ml dropper, gel texture, day and night, for oily and combination skin”.
- Claims
- What the listing claims about what the product is or how it was tested: labels and guarantees, not results on the skin. Example: “Dermatologically tested”, “vegan”, “cruelty free”, “fragrance free”, “paraben free”, “hypoallergenic”, “made in Spain”. By contrast, “reduces wrinkles” is a promise (Promise axis).
- Listing (text and images)
- How the listing is told on Amazon: length of the title and description, number of bullet points and images, clarity and tone of the text, and how much product information it gives. Example: A title that says what it is, the active and the size, five complete bullet points and seven images, versus a short title with two photos.
- Value for money
- What it costs versus what it offers: price, price per ml, price versus products of a similar size, and how much content and how many promises it gives for that price. Example: Two 30 ml serums at €19.90: the one with 10% niacinamide and two more actives scores better on value for money than the one that names none.
- Promise
- What result it promises the customer: the benefits (hydration, anti-ageing, radiance, anti-dark spots, pores…), how many it promises and whether it gives figures. Example: “Hydrates and adds radiance” are two benefits; “reduces dark spots by 30% in 4 weeks” is also a promise with figures.
Price
- Match plan: €49/month planned, not charged yet. The diagnosis is free today: Free and unlimited during the beta, until 31-Jan-2027. After that, 5 free full queries (2 without signing up and 3 with a free key). Sign up during the beta for founder pricing: −50% for 12 months.
- Moving your category to Match: €79 (planned price).