Zero-Party Intent Collection

Collect Zero-Party Intent Signals Across Your Entire Catalog

DTC brands often sell across multiple categories, but lack clarity on why a customer buys, their goals, preferences, interests, replenishment timing, and lifestyle needs. Cohora captures zero-party intent signals that help brands understand real customer motivations, not just browsing sessions.

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Without intent clarity, cross-sells miss, recommendations fall flat, and retention suffers.
The Problem

Most DTC retailers rely on inferred data and can’t answer:

What categories customers are truly interested in
What motivates purchases (function, value, convenience, lifestyle)
When customers expect to replenish
What attributes matter most (material, sustainability, size, use case)
Which products match their real needs
When brands understand the why, every part of the lifecycle becomes more efficient.
Why It Matters

Intent is the engine driving:

Repeat purchases
Category expansion
Subscription upgrades
Replenishment timing
Cross-sell accuracy
CRM performance (email/SMS)
cohora

How Cohora Helps

What Cohora Collects

Category interest signals
Motivations (value, convenience, performance, sustainability)
Attribute preferences
Household/lifestyle needs
Replenishment expectations
Product affinities
Step bt step

How it works

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Micro-interactions capture intent naturally

Polls, quizzes, feedback moments, UGC, and product engagement.

Profiles update with each interaction

Intent becomes dynamic — not static survey data.

CRM, onsite, and ads receive accurate inputs

Personalization engines finally understand the shopper.

Customers see products aligned to their real needs

Higher relevance → higher conversion.

Intent signals improve over time

Each interaction sharpens accuracy and confidence.

The Outcome

Intent becomes the backbone of your personalization strategy — making every interaction more relevant and every purchase more predictable.

Measured Lift

Proven Impact

  • 8–14% lift in repeat revenue
  • Higher conversion on personalized recommendations
  • More efficient replenishment journeys
Real Examples

How Brands Use It

  • Recommend bundles based on household size
  • Personalize content for sustainability-focused customers
  • Align replenishment flows to real usage patterns
  • Tailor cross-sells by lifestyle or product goals
KPIs

KPIs Improved

  • Repeat purchase rate
  • AOV on personalized flows
  • Recommendation accuracy
  • Subscription + replenishment conversion
The outcome

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Want clearer insight into why your customers buy?

See how Cohora captures true zero-party intent.
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