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Nov 2025

Avimee Herbal — Quiz & Analytics Platform

Client Project (Internship)

Problem

Avimee Herbal wanted to improve product discovery and conversion by guiding users through a personalized quiz. However, they lacked visibility into how users interacted with the quiz, which stores drove engagement, and how many quiz users actually converted into buyers.

Solution

Built an end-to-end quiz flow that generates a personalized report and product recommendations. Integrated WebEngage and CustomerLabs to track each step of the funnel — quiz start, completion, report view, and purchase. Additionally, created a store management module in Medusa Admin to track quiz engagement per physical store using unique store identifiers.

Key Features

  • Personalized Quiz & Report Engine
  • Store-Level Attribution System
  • Analytics & Funnel Tracking
  • Admin Store Management (Medusa)

Architecture

The system is built using Next.js for the quiz and report frontend, Shopify SDK for product data and checkout, and Medusa for custom admin workflows. Each store is assigned a unique store code. When a user opens the quiz via a store QR code, the store code is passed as a query parameter and persisted across the quiz flow. Events are tracked via WebEngage and CustomerLabs with store-level attribution. Admin dashboards in Medusa display quiz participation and engagement metrics per store.

System Components

  • Quiz & Report Frontend: Next.js with Tailwind and interactive UI components
  • Store Attribution: Store-specific quiz entry via /quiz?store={store-code}
  • Admin Tooling: Medusa Admin for store creation and CSV-based bulk uploads
  • Analytics Layer: WebEngage and CustomerLabs for funnel and conversion tracking
  • E-commerce Layer: Shopify SDK for product data and checkout

Tech Stack

Next.jsTailwind CSSShopify SDKMedusa (Admin & Backend)WebEngageCustomerLabsTypeScript

Impact & Learnings

Enabled Avimee Herbal to track the complete quiz-to-purchase funnel with store-level insights. The system provided clear visibility into which stores generated the most quiz engagement and conversions. Improved data-driven decision-making for marketing and in-store campaigns, while demonstrating strong ownership across frontend, analytics, and admin tooling.