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7 Onsite Campaigns That Drove ₹4.5M+ for Jade Blue

About The Brand 

JadeBlue is a leading menswear brand, known for its wide range of contemporary and occasion wear. With a strong digital presence and an extensive product catalogue, the brand caters to a diverse customer base. 

As the brand scaled digitally, ensuring seamless discovery, engagement, and conversion across its eCommerce journey became increasingly critical.

Objective

JadeBlue partnered with Cooee to address critical gaps in their digital shopping experience that were limiting conversion efficiency and user engagement. Over the course of 9 months, targeted campaigns were deployed to enhance on-site experience and conversion efficiency.

The brand was facing three core challenges:

  • Elevated bounce rates on collection pages signal weak initial engagement
  • Limited product discovery, leading to missed opportunities across the catalogue
  • Low returning user rate, restricting repeat engagement and long-term value

The objective was to optimise user journeys across the website by addressing these gaps.

With the priorities defined, the focus shifted to executing precision-led interventions across high-impact touchpoints in the user experience.

Journey Interventions (Powered by Cooee)

Cooee deployed a multi-campaign, intent-driven personalisation layer across the store. Each campaign was built around a specific user behaviour, activated only when the signal was present.

Contextual Cart Reminders

Gap:
Users were revisiting product pages despite already having items in their cart, leading to distraction and increased drop-off risk.

Intervention:
Contextual reminders were introduced on PDPs for users with existing cart activity, helping re-anchor purchase intent at the right moment.

  • Product snapshot for quick recall
  • Urgency-led messaging (“Still in your cart”)
  • CTA focused on resuming checkout

Personalised Cart Upsells

Gap:
A one-size-fits-all upsell strategy was underperforming across user cohorts, limiting its effectiveness at a high-intent stage.

Intervention:
Upsell experiences within the cart were personalised based on user type, aligning recommendations with familiarity and intent.

  • New users: “Popular right now” for discovery
  • Returning users: “Most loved” and “Back in demand” for trust

‘Most Loved Styles’ on PLP

Gap:
Choice overload on collection pages was leading to decision fatigue and reduced product exploration.

Intervention:
A “Most Loved Styles” layer was introduced to guide users using popularity and social proof signals.

  • High-performing SKUs prioritised
  • Visual badges for quick identification
  • Strategic placement to streamline browsing

Intent-based Dynamic Popups

Gap:
Static popups were poorly timed. They were either ignored or perceived as intrusive.

Intervention:
Behaviour-triggered popups were deployed based on real-time intent signals such as scroll depth, dwell time, and exit behaviour.

  • Contextual messaging (collections, offers, urgency)
  • Tiered intensity based on engagement level
  • Designed to assist rather than interrupt

Coupon Visibility

The Gap:
Users often drop off due to a lack of visibility or recall of available coupon codes.

The Intervention:
A persistent coupon bar was introduced on PDPs to surface offers at the point of decision.

  • Clear display of active discounts
  • Messaging focused on urgency and savings
  • Eliminated the need for manual discovery

Cart Recall Popups

Gap:
Exit-intent users lacked a strong recall of items left in their cart, reducing recovery effectiveness.

Intervention:
Exit-intent popups were enhanced with personalised product recall, reinforcing both relevance and value.

  • Display of exact cart items
  • Visual and price anchoring
  • Direct CTA back to checkout

Mobile-First Product Bundles

Gap:
Mobile users tended toward single-product purchases, limiting overall basket value.

Intervention:
Product bundles were integrated into PDPs with a mobile-first design, encouraging multi-product purchases.

  • Curated combinations with clear value messaging
  • Highlighted bundle savings
  • Seamless multi-item add-to-cart

Impact Over 9 Months

Campaign Type Funnel Stage Revenue CTR Primary Metric
Cart Reminder on PDP On-site Consideration ₹1.8M 2.2% 825 orders, 1.3% CR
Cart Upsell (New + Returning) Upsell Conversion ₹1.2M+ 3.3–4% ~1.2K–2.2K ATCs
Most Loved Styles on PLP Discovery Awareness ₹402K 8.2% 6.7K interactions
Intent-Based Dynamic Popups Popup Conversion ₹227K–290K 30–31% Up to 2.8% CR
EOSS Coupon Bar Promo Awareness ₹531K 1.2% 199K impressions
Abandon Cart Popup Recovery Conversion ~30% Cart recovery assist
Product Bundles (Mobile) Bundling Conversion ₹371K 6.1% 2K ATCs, AOV uplift

No additional traffic was acquired. No heavy development cycles. The impact came from activating the visitor intent at every stage of the funnel.

Results Snapshot

By aligning strategy with user intent and behaviour, JadeBlue achieved:

  • ₹4M+ in incremental revenue
  • Improved conversion efficiency across key funnel stages
  • Increased average order value (AOV)
  • Stronger user engagement and session depth
  • Enhanced product discovery and navigation experience

Key Takeaways

What sets this transformation apart is not just the interventions—but the precision behind them.

  • Intent signals outperform assumptions when guiding user experiences
  • High-impact moments (PDPs, cart, exit points) hold disproportionate revenue potential
  • Personalisation drives efficiency when grounded in real behaviour
  • Friction reduction compounds results across the entire funnel
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