
By fixing the PDP carousel and personalizing from the very first click, Jordan Craig turned high-intent PDP visits into high-value shopping sessions.
Jordan Craig drives a large share of its traffic directly to Product Detail Pages. These sessions are high-intent: shoppers already like a product and are deciding whether to commit, explore alternatives, or build a larger basket. But the PDP recommendation carousel was underperforming.
The carousel couldn't adapt to individual visitor preferences or behavior.
Same products in different colors cluttered the recommendations.
Visitors saw more of what they were already viewing instead of complementary items.
No ability to encourage outfit building or bundle purchases.
"The PDP did a good job selling the first item, but a poor job increasing the value of the session."
— Jordan Craig Team
Jordan Craig didn't overhaul everything at once. They followed a phased rollout designed to prove impact quickly and expand with confidence.
Fix the highest-impact surface
Adapt experiences in session
Expand across the journey
Put teams in control
Malachyte replaced the static PDP carousel with real-time, session-based recommendations, without changing the PDP layout, creative, pricing, or promotions. Same PDP. Same layout. Smarter recommendations.
No more cluttered recommendations with the same product in different colors
Complementary products surfaced to encourage outfit building
Live behavior (clicks, scrolls, dwell) refined recommendations instantly

Ashburn Denim
Denim · $60

Ashburn Denim
Jet Black · $60

Ashburn Denim
Lightning Wash · $60

Ashburn Denim
Sand Wash · $60
Every visitor sees the same colorways. No cross-category discovery, no outfit building.
Revenue Per Visitor
PDP Rec Engagement
Add-to-Cart Rate
Payment Engagement
Key Insight
Improving PDP discovery quality directly increases revenue per session, even without changing conversion rate headlines. Fewer low-quality conversions. More high-value ones.
Before Malachyte, most Jordan Craig visitors arrived anonymously with no browsing history, purchase data, or way to personalize meaningfully. New visitors saw generic PDP recommendations — even though they represented the largest share of traffic and revenue potential.
The moment a new shopper landed on a PDP, Malachyte started learning
Scrolling, clicking, hovering — all signals shaped what the system believed that shopper wanted next
Recommendations adapted instantly — during the same session
Click a stage to explore
Homepage

New
Arrivals
Premium
Denim

Recommendations
Search Results
New Visitor RPV
Conversion Rate
Average Order Value
Key Insight
First-time shoppers found more relevant products faster — and bought like they already knew the brand. This is where the majority of Jordan Craig's incremental revenue came from.
The PDP pilot proved one thing clearly: when Jordan Craig personalizes early and accurately, revenue follows. The next step is extending that same intelligence — with minimal effort — across the rest of the business.
Search understands intent ('streetwear pants' ≠ 'dress pants') — more searches turn into PDP views
MIQ turns anonymous browsing into usable audience signals for higher ROAS without more spend
Simple controls to boost or suppress products — AI fills in the rest, personalized per shopper
MIQ connects actions → revenue. Finally answer: 'What actually drove this sale?'
Key Insight
The PDP win wasn't the finish line — it was the proof. The same intelligence can now be applied across the business, turning Jordan Craig's existing traffic into a smarter, more profitable growth engine.
Schedule a free demo to see it in action.