Product Drop / Collection Targeting

Predict Demand for Drops & Capsules With Intent-Based Segmentation

Product drops, limited capsules, and seasonal collections succeed when they reach the right audiences but most brands launch without knowing who is most likely to buy. Cohora identifies high-intent segments ahead of each drop, enabling targeted activation and faster sell-through.

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Launching broadly wastes opportunity and increases risk.
The Problem

Brands struggle to answer:

Who will respond to an upcoming drop?
Which customers prefer the silhouettes or styles featured?
Which shoppers have engaged with early teasers, lookbooks, or try-ons?
Who is primed for seasonal wardrobe updates?
Which segments adopt new collections fastest?
Predictive segmentation dramatically improves launch performance.
Why It Matters

Precision targeting for drops and capsules leads to:

Faster sell-through
Higher early adoption
More effective hype-building
Better allocation of paid media
Reduced inventory uncertainty
Stronger creator alignment
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How Cohora Helps

What Cohora Reads

Style DNA and fit preferences
Capsule or lookbook interaction
Try-on engagement
Wishlist data
Seasonal wardrobe gaps
Similar past collection behaviors
Step bt step

How it works

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Cohora identifies high-propensity buyers before launch

Based on their style, behavior, and engagement.

Segments are created for targeted pre-launch hype

Lookbooks, teasers, early access, etc.

Educational journeys prime interest

Creator try-ons, styling tips, outfit pairing, and more.

Launch-day campaigns reach the right shoppers

Higher conversion, lower waste.

Segment adoption data informs future drops

Adoption and conversion by segment reveal which styles, creators, and messages to scale next.

The Outcome

Every drop becomes more predictable and profitable. Brands know who will adopt, how to activate them, and where to focus creator and content investment.

Measured Lift

Proven Impact

  • 8–12% lift in drop conversions
  • Faster capsule sell-through
  • Higher VIP and repeat-buyer adoption
Real Examples

How Brands Use It

  • Predict which shoppers want an oversized outerwear capsule
  • Identify denim segments most likely to adopt new cuts
  • Pre-target minimalist vs. bold-style customers differently
  • Personalize capsule previews based on past collection interaction
KPIs

KPIs Improved

  • Drop conversion rate
  • Early adoption
  • Capsule performance
  • Revenue by propensity segment
The outcome

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Want drops and capsules that sell through faster?

See how Cohora powers predictive segmentation for fashion brands.
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Cohora enables brands to connect emotionally with their customers within a first-party brand-owned customer network that drives greater brand advocacy and behavioral-based loyalty.
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