AFFILIATE PARTNER MEDIA KIT
Your closet knows what it's missing. Stylr helps you find it.
Stylr is an AI-powered personal styling and wardrobe app that builds outfits from what a user already owns — and recommends a purchase only when the AI identifies a genuine gap in their closet, alongside product discovery.
Core mechanic
Shop the Gap
AI-triggered product recommendations at the moment a real wardrobe gap is found.
Launch market
Croatia
Then Slovenia, the Balkans and the UK.
Audience
Women 22–38
Fashion-oriented students and early-career professionals.
THE PRODUCT
What Stylr does
Users photograph the clothes they already own, and the app's AI builds outfit combinations from that closet — factoring in weather, personal style and what the user actually wears. It also includes virtual try-on, so users see a photorealistic image of themselves in a recommended combination before clicking through to buy.
Digitize
User adds clothes they already own.
Style
AI creates relevant outfit combinations.
Identify
A specific missing piece is detected.
Convert
Partner products appear with try-on.
The commercial layer activates only after the user has emotionally bought into an outfit. That makes the affiliate trigger narrower, more relevant and higher-intent than generic content, coupon or banner placement.
THE OPPORTUNITY
Why this matters for affiliate partners
TRIGGER QUALITY
High intent
Every product is tied to a specific AI-identified wardrobe gap.
CONFIDENCE LAYER
Virtual try-on
Users see the product in a complete look before visiting the retailer.
DATA FLYWHEEL
Gets smarter
Recommendations improve as the user builds and wears their wardrobe.
Stylr does not place products beside unrelated content. Recommendations appear inside a styling decision the user is actively trying to complete.
- Every product surfaced through Shop the Gap is linked to a specific outfit need, not generic browsing or keyword content.
- Virtual try-on lets the user evaluate a recommended piece in context, which can increase confidence before the affiliate click.
- The wardrobe-first model creates a long-term relevance advantage: the more a user engages, the more precise the product matching becomes.
- Every affiliate placement has a clear, logged trigger: the user asked to shop a look, or the AI identified a missing item.
“The user has already bought into the outfit before the product suggestion appears.”
IN THE APP
Affiliate integration in the app
Shop the Gap is built into the core flows users already use: the home screen, individual outfits and the dedicated Shop tab.
Flow 1 — AI recommendation
The home experience suggests a complete outfit using owned items, then exposes partner stores and try-on actions in the same context.
Flow 2 — Shop the look
When the user asks to complete a look, Stylr detects the relevant garment category, searches partner inventory and surfaces matched products ready for try-on.
PLACEMENT
Contextual
Home, look detail and Shop tab.
ACTION
Trackable
Clear click and product-selection events.
INVENTORY
Feed-ready
Designed for affiliate product feeds and live pricing.
SHOP EXPERIENCE
Shop experience
Retailer inventory is surfaced in a familiar commerce grid, but the experience remains connected to the user's wardrobe, outfits and try-on workflow.
What partners provide
- • Product feed or catalog access
- • Affiliate tracking links
- • Pricing, availability and imagery
- • Program terms and commission structure
What Stylr provides
- • High-intent in-app placement
- • AI-to-product matching context
- • Try-on entry point before click-through
- • Logged recommendation and click events
MARKET FIT
Audience & launch readiness
183 women
Croatian survey completed in February 2026.
39.8%
Regularly buy clothing they never end up wearing.
59 leads
Warm prospective users ahead of launch.
Women aged 22–38 in Croatia who are fashion-oriented, including college students and early-career professionals.
- Primary ICP
- Women 22–38, fashion-oriented, college students and early-career professionals
- Launch
- Croatia — 28 July 2026
- Expansion
- Slovenia and the Balkans, followed by the UK
- Geographic edge
- No direct AI styling competitor currently operating in Croatia, Slovenia or Romania
- The problem is recurring: users make outfit decisions daily, not only when actively shopping.
- Stylr can connect new products to items the user already owns, making recommendations easier to understand and evaluate.
- The app is applying to affiliate programs before public launch so feeds and tracking can be tested inside the recommendation pipeline.
THE ASK
Why partner with Stylr
Stylr is built around one question the fashion industry already knows drives waste, low confidence and return risk:
Does this really complete something the person owns?
That framing keeps affiliate placements tied to real purchase intent rather than volume-driven placement. We are seeking affiliate partners whose live product feeds can be integrated and tested before launch.
PARTNERSHIP GOAL
Launch-ready
Integrate feeds, links and attribution before users arrive.
PARTNER VALUE
Qualified traffic
Recommendations appear within a real outfit decision.
NEXT STEP
Product walkthrough
Review the app, data handling and go-to-market plan.
Brandon Carpenter
Founder, Stylr
Website: stylrapp.io
Send us a partnership request →Visualize. Style. Wear.