Home

Our Work

Wishlist Engagement Upgrade

Success Story

Wishlist and Seller Pages for a Leading Fashion Retailer

Building personalized engagement and branded discovery experiences at enterprise retail scale.

Business growth impact

projected to deliver $2M in incremental demand and $1M in NMN spend in 2025.

Seamless customer engagement

with real-time favoriting across product listings.

Technologies

Redis

Java

JavaScript

TypeScript

React

Design System

Polaris

Composition API

Hydrogen

MWP

Pepto

Expertise

Custom software development

Cloud

DevOps

Data and analytics

Get this case study in PDF to your email

Have a Similar Problem?

Let’s build scalable customer engagement and marketplace growth features for your retail business.

Contact Sales

No lightweight interaction for customers

Migration to GA4 caused 15–90 minute event tracking delays, slowing insights and marketing agility.

Fragmented seller visibility

Marketplace sellers had no centralized, branded presence. Seller-related content was scattered across the site, limiting discoverability and making it difficult to capture SEO demand.

Business risks

The company faced missed opportunities to increase customer engagement by not capitalizing on saved shopping intent. In addition, the lack of dedicated seller destinations weakened customer trust and reduced the effectiveness of external marketing efforts. These gaps became more critical as competitors were already offering similar marketplace features, creating significant competitive pressure.

Have a Similar Problem?

Let’s build scalable customer engagement and marketplace growth features for your retail business.

Contact Sales

Proven expertise in retail innovation

We help leading retailers design and scale digital experiences that balance customer delight with measurable business impact.

Tailored marketplace growth strategies

Beyond feature delivery, we guide clients in adopting the right technologies and integrations to support both customers and sellers.

Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.

2017

Year Founded

600+

Employees

96%

Client Satisfaction

Phase 1

Wishlist/hearting integration

Introduced heart icons on search and browse result pages, allowing real-time toggling and quick navigation to mini product detail pages (PDPs). The heart state persisted through API-driven session management, integrated with Redis for caching and speed.

Phase 2

API optimization for performance

The Experience API Layer unified access to wish list data, offloading repeated reads from the Wish List API and ensuring UI responsiveness. Cached responses were served instantly when available, improving customer experience at scale.

Phase 3

Seller pages design and rollout

Built dedicated storefronts for high-value marketplace sellers, integrating product data, brand content, and media campaign support.

Phase 4

SEO and marketing enablement

The seller pages were optimized for SEO, capturing ~300K off-site monthly searches for top seller brands and driving external marketing opportunities.

Phase 5

Business growth enablement

The pages positioned the retailer to generate $2M in incremental demand and $1M in NMN spend in 2025, while improving seller acquisition and retention.

Modernizing interaction and seller discovery unlocked measurable value: brands that personalize at scale often see 10–15% revenue increases and more efficient marketing ROI.

Real-time customer engagement

The hearting feature enabled customers to easily flag, save, and revisit products, improving navigation and re-engagement.

Dedicated seller destinations

The seller pages created trust and visibility for marketplace partners, supporting brand storytelling and marketing campaigns.

SEO-driven demand capture

The optimized seller content tapped into 300K+ monthly off-site searches, generating incremental traffic and demand.

Scalable personalization

The API-frist architecture ensured that wishlist interactions and seller content could scale with the retailer’s growing marketplace.

Option	Risk	Mitigation
Increased latency with API calls	More wishlist and seller interactions could slow down page performance.	Redis caching and the Experience API Layer ensured fast responses and reduced load on core APIs.
Fragmented seller data integration	Inconsistent seller content could weaken trust and discovery.	Composition API unified seller content and product data into a consistent storefront experience.

These initiatives not only improved customer engagement but also unlocked new revenue and marketing opportunities.

Incremental revenue impact

The seller pages are projected to drive $2M in incremental demand and $1M in NMN spend in 2025.

Improved seller acquisition and retention

High-GMV sellers, who make up only 5% of marketplace sellers but drive 10–12% of GMV, gained visibility and confidence in the platform.

Competitive parity and differentiation

By adding features already standard in peer marketplaces, the retailer both met expectations and added its own branded experience layer.

Strengthened marketplace ecosystem

Dedicated seller visibility improved acquisition and retention, while empowering partners to showcase their assortments more effectively — fueling assortment growth and stronger marketplace health.

Positioned for scalable growth

By combining personalization features with SEO-ready seller pages, the retailer created a foundation for sustainable gross merchandise value (GMV) and media revenue growth as the marketplace expands.