Zero-Party Style & Fit Profiling

Deliver Personalized Styling With Zero-Party Fit & Style Profiling

Shoppers expect clothing recommendations that match their unique style, fit, and lifestyle but most apparel brands rely on browsing behavior alone. That leads to mismatched products, poor recommendations, and low repeat purchase rates. Cohora collects ongoing, zero-party style and fit preferences to deliver deeper personalization across the shopper journey.

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When style discovery is generic, conversion and retention suffer.
The Problem

Most fashion brands don’t truly understand:

Preferred fit (slim, relaxed, oversized, tailored)
Style preferences (minimalist, streetwear, classic, bold, athletic)
Color palettes customers lean toward
Occasion-based needs (workwear, events, travel, seasonal wardrobes)
How preferences evolve across seasons
Understanding style leads directly to stronger purchase confidence and higher loyalty.
Why It Matters

Fashion decisions are driven by identity, comfort, and context. When brands don’t personalize:

Customers abandon recommendations
Sizing uncertainty slows conversion
Seasonal drop-off worsens
Outfit discovery becomes inconsistent
Repeat purchases become unpredictable
cohora

How Cohora Helps

What Cohora Captures

Fit preferences (cut, rise, length, drape)
Style preferences across categories
Occasion-based outfit needs
Step bt step

How it works

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Shoppers share preferences through natural interactions

Lookbooks, quizzes, outfit builders, try-on content, and polls.

Profiles update automatically as the customer explores new looks

Style is dynamic — Cohora keeps up.

Recommendations and journeys become uniquely tailored

Outfits, capsules, drops, and new arrivals match personal style signals.

Personalization syncs across CRM and onsite tools

Every touchpoint reflects the shopper’s identity.

Comfort and confidence increase → conversion follows

Shoppers convert faster and return more often when recommendations reflect true style and fit.

The Outcome

The shopping experience feels curated — like a personal stylist, not a catalog. Customers buy more confidently and return more often.

Measured Lift

Proven Impact

  • 8–14% lift in repeat purchases
  • Higher add-to-cart rates on personalized outfits
  • Improved conversion for seasonal collections
Real Examples

How Brands Use It

  • Recommend fits based on customer-preferred silhouettes
  • Build capsules aligned to personal style and occasion
  • Tailor seasonal refreshes based on color palette preferences
  • Surface new collections based on previous try-on behavior
KPIs

KPIs Improved

  • AOV on personalized journeys
  • Repeat purchase rate
  • Product match accuracy
  • Wishlist interaction
  • Style-based segment engagement
The outcome

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Ready to deliver style personalization that actually reflects your shoppers?

Book a demo and see Cohora’s fit & style profiling in action.
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