Crobox Technology Intelligence

What is Crobox?

Crobox is an AI-powered product discovery and conversion optimization platform for e-commerce. Founded in Amsterdam in 2013, Crobox uses behavioral psychology and machine learning to personalize product recommendations, messaging, and promotions based on individual shopper motivations.

Unlike traditional recommendation engines based solely on purchase history, Crobox profiles visitor psychology—identifying whether shoppers are motivated by scarcity, social proof, exclusivity, or other persuasion principles. Dynamic messaging adapts in real-time to match each visitor's decision-making style.

The platform's "Product Discovery AI" helps shoppers find relevant products through guided selling, quiz-based recommendations, and contextual nudges. Major retailers like MediaMarkt, Tommy Hilfiger, and HEMA use Crobox to increase conversion rates and average order value.

Crobox Platform Capabilities

Psychographic Profiling: Machine learning identifies visitor motivation types in real-time. Segments include deal-seekers, research-driven, impulse buyers, and brand loyalists.

Dynamic Messaging: Product badges, urgency indicators, and value propositions adapt per visitor. "Best Seller" for social proof seekers; "Limited Stock" for scarcity-motivated shoppers.

Product Discovery AI: Guided selling questionnaires and gift finders narrow large catalogs. Personalized recommendations based on stated preferences and behavior.

A/B Testing: Automated experimentation identifies highest-performing messages and placements. Statistical significance calculated automatically.

Zero-Party Data Collection: Quiz responses and preference inputs build first-party customer profiles for personalization without third-party cookies.

Analytics Dashboard: Measure conversion lift, revenue attribution, and segment performance. Understand which psychological triggers drive sales.

Crobox Use Cases

Fashion Retail: Style quizzes guide shoppers to matching items. Body-type recommendations. Outfit completion suggestions based on cart contents.

Electronics: Specification-based product finders help navigate complex catalogs. Comparison nudges for research-driven buyers.

Beauty & Cosmetics: Skin type quizzes and shade finders personalize recommendations. User-generated content highlights for social proof.

Home & Garden: Room visualizers and project calculators guide purchases. Bundle suggestions for complete solutions.

Gift Shopping: Recipient profiling and occasion-based recommendations. Gift guides reduce decision paralysis.

Subscription Optimization: Personalized messaging reduces churn. Urgency for lapsing subscribers. Value reinforcement for active members.

Crobox Integration

JavaScript Tag

<!-- Crobox Tracking Tag -->
<script>
(function(c,r,o,b,x){c['CroboxObject']=x;c[x]=c[x]||function(){
(c[x].q=c[x].q||[]).push(arguments)},c[x].l=1*new Date();var s=r.createElement(o),
f=r.getElementsByTagName(o)[0];s.async=1;s.src=b;f.parentNode.insertBefore(s,f)
})(window,document,'script','https://cdn.crobox.com/YOUR_CONTAINER_ID.js','crobox');

crobox('init', 'YOUR_CONTAINER_ID');
crobox('track', 'pageview');
</script>

E-commerce Events

// Product view
crobox('track', 'product_view', {
    product_id: 'SKU123',
    category: 'Electronics',
    price: 299.99
});

// Add to cart
crobox('track', 'add_to_cart', {
    product_id: 'SKU123',
    quantity: 1
});

// Purchase
crobox('track', 'purchase', {
    order_id: 'ORD456',
    products: [{ id: 'SKU123', quantity: 1, price: 299.99 }],
    total: 299.99
});

Crobox Benefits

Psychology-Based: Goes beyond collaborative filtering. Understanding why shoppers buy enables more persuasive personalization than what others bought.

Privacy-First: Zero-party data from quizzes builds profiles without invasive tracking. GDPR-compliant personalization as third-party cookies disappear.

Measurable ROI: A/B testing proves incremental revenue. Clear attribution shows which personalization drives conversions.

Reduced Decision Fatigue: Guided selling and product finders help overwhelmed shoppers. Fewer abandoned sessions from choice paralysis.

No Code Deployment: Tag manager implementation. Visual editor for campaigns. Marketing teams launch without developer sprints.

Enterprise Proven: Major retailers validate at scale. Case studies from MediaMarkt, Tommy Hilfiger demonstrate results.

European Roots: Amsterdam-based company understands European privacy requirements and consumer expectations.