Malachyte
Jordan Craig
Case Study
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How Jordan Craig increased Revenue Per Visitor by 8.29% with Malachyte

By fixing the PDP carousel and personalizing from the very first click, Jordan Craig turned high-intent PDP visits into high-value shopping sessions.

Product
PDP Recommendations
Metrics
RPVATC RateRec Engagement
Period
Q4 2024 – Q1 2025
+8.29%
Revenue Per Visitor
+6.99%
PDP Rec Engagement
+1.49%
Add-to-Cart Rate
+17%
New Visitor RPV

The problem: PDPs were doing the work — but the carousel wasn't

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.

Static, rules-based recommendations

The carousel couldn't adapt to individual visitor preferences or behavior.

Heavy SKU and color duplication

Same products in different colors cluttered the recommendations.

Same-category repetition

Visitors saw more of what they were already viewing instead of complementary items.

Limited cross-category discovery

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

The Solution: The Golden Path

Jordan Craig didn't overhaul everything at once. They followed a phased rollout designed to prove impact quickly and expand with confidence.

1

Fix the highest-impact surface

2

Adapt experiences in session

3

Expand across the journey

4

Put teams in control

1

Fixing the PDP Carousel: From Static Upsell to Revenue Engine

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.

What changed

Removed duplicate colorways and near-identical SKUs

No more cluttered recommendations with the same product in different colors

Introduced cross-category 'complete the look' logic

Complementary products surfaced to encourage outfit building

Adapted recommendations in-session

Live behavior (clicks, scrolls, dwell) refined recommendations instantly

Viewing PDP for: Ashburn Denim (Cement Wash)
Static: Same product, different colorways
Viewing
Ashburn Denim
Anchor

Ashburn Denim

Denim · $60

Recommendations
Duplicate
Ashburn Denim

Ashburn Denim

Jet Black · $60

Duplicate
Ashburn Denim

Ashburn Denim

Lightning Wash · $60

Duplicate
Ashburn Denim

Ashburn Denim

Sand Wash · $60

Every visitor sees the same colorways. No cross-category discovery, no outfit building.

Measured impact

+8.29%

Revenue Per Visitor

+6.99%

PDP Rec Engagement

+1.49%

Add-to-Cart Rate

+4.65%

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.

2

Why New Visitors Drove the Biggest Gains

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.

What Malachyte did differently

Real-time profile from the first click

The moment a new shopper landed on a PDP, Malachyte started learning

Every action refined recommendations

Scrolling, clicking, hovering — all signals shaped what the system believed that shopper wanted next

No login, email, or past purchases required

Recommendations adapted instantly — during the same session

Click a stage to explore

Adaptive User Profile (AUP)

Homepage

Jordan Craig

New

Arrivals

Premium

Denim

Orb

Recommendations

Search Results

Compounding ROI Over Time

HighLow135812# of User Sessions
CAC
Clicks per Session
Revenue Per Visitor
Customer Acquisition Cost

Measured impact

+17%

New Visitor RPV

+5%

Conversion Rate

+5-7%

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.

3

What's Coming Next: Low-Effort, High-Leverage Wins

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.

2026 Preview

Smarter Search = Fewer Dead Ends

Search understands intent ('streetwear pants' ≠ 'dress pants') — more searches turn into PDP views

Email & Ads Get Smarter Automatically

MIQ turns anonymous browsing into usable audience signals for higher ROAS without more spend

Merch Controls Without Engineering

Simple controls to boost or suppress products — AI fills in the rest, personalized per shopper

Clear Attribution — No More Guessing

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.

Don't personalize.
Individualize.

Experience the difference
with Malachyte.

Schedule a free demo to see it in action.

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