Topic covered
CUSTOMER STORIES
How GO Sport UAE Drove Incremental Revenue Through Funnel-Wide Personalization
GO Sport UAE used funnel-wide personalization to boost revenue efficiency while maintaining a seamless shopping experience. AI-driven discovery, contextual cart recommendations, and lightweight checkout extensions increased order influence and AOV—delivering scalable growth driven by relevance, not promotions.
Results
AOV increased by 10 % through personalized product discovery and cart experiences
15.29% of total orders influenced by AI-driven recommendations
8.33% of total revenue attributed to personalized journeys
77.70% of personalized revenue driven by Product Discovery
Use Cases
Personalized Product Discovery Surfaced relevant and complementary products during browsing to capture high-intent demand early.
Smart Cart Upsells Recommended add-ons based on live cart behavior to increase basket size at peak purchase intent.
Checkout Extensions Introduced lightweight, frictionless upsells at checkout to drive incremental revenue without impacting conversion.
Industry
Fashion and apparel
Go Sport UAE is a leading omnichannel sports and lifestyle retailer, offering a wide range of athletic apparel, footwear, and equipment for global and regional brands. With a strong digital presence, the brand focuses on delivering performance-driven products while creating seamless, high-conversion shopping experiences for an increasingly digital-first customer base.
Challenge: Increasing Revenue Efficiency Without Disrupting Conversion
As traffic scaled, the brand wanted to drive higher revenue per session without relying on aggressive discounts or complicating the checkout experience. Existing upsell and cross-sell efforts were underperforming, and recommendations lacked relevance across different stages of the funnel.
They needed a solution that could drive higher Average Order Value in an organic, sustainable way—without relying on discounts or disrupting the customer experience. The approach had to influence more orders while remaining frictionless, support personalization consistently across discovery, cart, and checkout, and integrate seamlessly with Shopify so it could be implemented and scaled without technical complexity or operational overhead.
Strategy: Funnel-Wide Revenue Optimization
Anphonic was implemented as a layered personalization engine across the customer journey, focusing on relevance, timing, and intent rather than blanket offers.
Key Approaches
Personalized Product Discovery
AI-driven recommendations surfaced high-intent and complementary products during browsing, capturing demand early in the journey.
Smart Cart Upsells
Cart-level recommendations leveraged live cart context to increase basket size at peak purchase intent.
Checkout Extensions
Lightweight checkout widgets added incremental value without introducing friction or abandonment risk.
Results: Measurable Impact Across Orders and AOV
Within a short optimization window, the brand saw strong performance across key revenue metrics:
• 10% uplift in Average Order Value driven by personalized recommendations
• 15.29% of total orders influenced by Anphonic-powered experiences
• 8.33% of total revenue attributed to personalized journeys
• 77.70% of personalized revenue generated via Product Discovery
• 19.92% of personalized revenue driven through cart interactions
Impact: Revenue Growth Powered by Relevance
Anphonic enabled scalable growth without operational complexity:
• Personalization across discovery, cart, and checkout
• Higher revenue contribution without heavy discounting
• Seamless Shopify integration with minimal setup
• Clear visibility into attribution and performance by touchpoint
Looking Ahead
With strong performance across AOV uplift, order influence, and discovery-led revenue, the brand is well-positioned to expand personalization further across lifecycle touchpoints, unlocking sustained, compounding growth driven by shopper intent rather than promotions.
FAQs
1. Did this growth rely on discounts?
No. Performance gains were driven by contextual recommendations and improved product relevance.
2. Which Anphonic feature performed best?
Personalized Product Discovery contributed the majority of influenced revenue.
3. Was checkout impacted negatively?
No. Checkout extensions were lightweight and optimized to avoid friction.
4. Does Anphonic’s approach scale across large catalogs?
Yes. AI-driven personalization adapts dynamically to catalog depth and shopper behavior.
5. How quickly can brands see results with Anphonic?
Most brands begin seeing measurable impact within weeks of implementation.
Stay tuned for fresh content
Over 10,000 Shopify brands use Rebuy to create personalized shopping experiences that reduce costs, save time, and drive sales
.png)
.png)
.png)
.png)
.png)
.png)
.jpeg)
.svg)
