Naar - Social E-commerce App: Bridging Social & Shopping

Naar is a mobile-first live ecommerce platform designed for the next generation of shoppers who want more than just transactions. It transforms product discovery into a shared experience—where users can join live sessions, follow creators, and shop socially. Unlike traditional ecommerce apps, Naar blends the intimacy of social media with the functionality of shopping platforms. Whether it’s joining a live room hosted by a friend, discovering products via story-like feeds, or building your own collections, Naar makes shopping feel like scrolling with friends—not navigating a catalog.

[Client]

EcoGlow

[Year]

2023

[Services]

Lead Product Designer and User research

[Catagory]

Social and E-commerce

The Challenge

Traditional e-commerce platforms lack the engaging, social experience that modern consumers crave, whilst social media platforms struggle to convert engagement into sales. How might we create a seamless shopping experience that combines the entertainment value of social media with the conversion power of e-commerce?

The Solution

A unified social commerce platform where buyers discover products through an engaging feed whilst sellers can showcase products through live selling and static listings—all within the same interactive interface.

🎯 Problem Statement

Primary Problem: Existing e-commerce solutions create friction between product discovery, social interaction, and purchase completion, leading to high cart abandonment rates and low engagement.

User Pain Points Identified:

  • Buyers find traditional e-commerce boring and impersonal

  • Sellers struggle to build authentic connections with customers

  • Context switching between social platforms and shopping apps creates friction

  • Live selling experiences are fragmented across multiple platforms

Business Impact:

  • 70% cart abandonment rate in traditional e-commerce

  • Declining organic reach on social media platforms

  • Sellers spending excessive time managing multiple platforms

🔍 Research & Discovery

User Research Methods

  1. User Interviews (15 participants)

    • 8 frequent online shoppers (ages 22-45)

    • 7 small business owners/sellers (ages 28-52)

Interview Question - Click Here


  1. Competitive Analysis

  • TikTok Shop, Instagram Shopping, Facebook Marketplace

  • Traditional platforms: Amazon, eBay, Shopify stores

  • Live selling platforms: Whatnot, PopShop Live


  1. Behavioural Analytics

  • Analysed user flow patterns from existing apps

  • Identified drop-off points in purchase funnels






Key Research Insights

Buyer Insights:

  • 78% prefer discovering products through recommendations rather than search

  • 65% make impulse purchases when emotionally engaged with content

  • 89% want to interact with sellers before major purchases

  • Video content increases purchase intent by 4x

Seller Insights:

  • 84% struggle with building customer relationships online

  • 72% find managing multiple sales channels overwhelming

  • Live selling increases conversion rates by 3-5x

  • Authentic storytelling drives higher customer loyalty





User Personas

Primary Persona: "Social Shopper Sarah"

  • Age: 28, Marketing Professional, London

  • Goals: Discover unique products, support small businesses, enjoy shopping as entertainment

  • Frustrations: Boring shopping experiences, difficulty finding authentic reviews, impersonal customer service

  • Behaviours: Spends 2+ hours daily on social media, makes 3-5 online purchases monthly

Secondary Persona: "Entrepreneurial Emma"

  • Age: 34, Small Business Owner, Manchester

  • Goals: Build customer relationships, increase sales, streamline business operations

  • Frustrations: Time-consuming platform management, difficulty standing out, limited customer interaction

  • Behaviours: Active on multiple social platforms, hosts weekly live selling sessions

💡 Design Strategy

Core Design Principles

  1. Unified Experience: Eliminate friction between social interaction and commerce

  2. Authentic Connection: Enable genuine relationships between buyers and sellers

  3. Contextual Commerce: Present products within relevant, engaging content

  4. Inclusive Design: Accessible to users of varying technical abilities


Information Architecture




🎨 Design Process

Phase 1: Concept Development

Initial Sketches & Wireframes

  • Explored 15+ layout variations for the unified feed

  • Tested different approaches to integrate shopping without disrupting social flow

  • Prioritised thumb-friendly navigation for mobile-first design

Key Design Decisions:

  • Implemented vertical scroll feed similar to TikTok for familiarity

  • Placed purchase CTAs strategically without overwhelming content

  • Created overlay system for product details to maintain flow


Phase 2: Prototyping & Testing

Low-Fidelity Prototypes

  • Created interactive prototypes using Figma

  • Tested core user flows with 8 participants

  • Identified navigation issues and content hierarchy problems

Iteration 1 Insights:

  • Users missed product information when scrolling quickly

  • Live selling interface needed clearer visual hierarchy

  • Purchase flow required simplification

High-Fidelity Prototypes

  • Developed pixel-perfect designs with micro-interactions

  • Implemented design system with consistent components

  • Created responsive layouts for various screen sizes


Phase 3: Unique Selling Point - Unified Interface

The Innovation: Simultaneous Buyer-Seller Interaction

Our key differentiator is the unified interface where buyers and sellers interact on the same screen during live sessions:

  • Sellers see real-time engagement metrics, chat, and sales data

  • Buyers view products, interact with sellers, and make purchases seamlessly

  • Shared Elements include live chat, product showcases, and social reactions

Technical UX Considerations:

  • Implemented adaptive UI that adjusts based on user role

  • Created notification system that doesn't interrupt the live experience

  • Designed modular interface elements that appear contextually



🛠 Key Features & Solutions

1. Smart Discovery Feed

Problem: Users overwhelmed by irrelevant products Solution: AI-powered feed combining social signals with purchase intent

  • Personalised based on viewing behaviour and social interactions

  • Balances entertainment content with shopping opportunities

  • Includes social proof through friend activities and reviews

2. Integrated Live Selling

Problem: Fragmented live selling experience across platforms Solution: Native live streaming with built-in commerce tools

  • One-tap product highlighting during streams

  • Real-time inventory updates

  • Instant purchase without leaving stream

3. Contextual Product Discovery

Problem: Products presented without context or story Solution: Products embedded within engaging content

  • Seller stories and behind-the-scenes content

  • User-generated content featuring products

  • Community discussions around products

4. Streamlined Purchase Flow

Problem: Complex checkout processes causing abandonment Solution: Progressive purchase flow with smart defaults

  • One-touch purchasing for returning customers

  • Guest checkout option with account creation post-purchase

  • Multiple payment methods including digital wallets



📱 Design System & Visual Design

Brand Principles

  • Vibrant & Energetic: Reflects the dynamic nature of social commerce

  • Trustworthy: Professional enough for significant purchases

  • Inclusive: Welcomes diverse communities and sellers


🧪 Testing & Validation

Usability Testing Results

Round 1: Initial Concept (8 participants)

  • Task completion rate: 73%

  • Average time to purchase: 3.2 minutes

  • Key insight: Users confused by dual buyer/seller interface

Round 2: Refined Design (12 participants)

  • Task completion rate: 91%

  • Average time to purchase: 1.8 minutes

  • Key insight: Live selling feature highly engaging but needed clearer product focus

Round 3: Final Validation (15 participants)

  • Task completion rate: 95%

  • Average time to purchase: 1.4 minutes

  • NPS Score: 8.2/10

A/B Testing Results

  • Feed Layout: Vertical scroll vs. Grid view (Vertical won by 34% engagement)

  • Purchase CTA: "Buy Now" vs. "Add to Bag" (Buy Now increased conversions by 23%)

  • Live Selling UI: Split screen vs. Overlay (Overlay reduced drop-offs by 41%)

Brand Principles

  • Vibrant & Energetic: Reflects the dynamic nature of social commerce

  • Trustworthy: Professional enough for significant purchases

  • Inclusive: Welcomes diverse communities and sellers

📊 Impact & Results

Quantitative Results

  • Conversion Rate: 12.3% (industry average: 3.2%)

  • Session Duration: 8.4 minutes (2.3x longer than traditional e-commerce)

  • Return User Rate: 67% within 7 days

  • Seller Retention: 89% after 3 months

Qualitative Feedback

"Finally, an app that makes shopping feel like hanging out with friends!" - Beta User

"I've tripled my sales since moving to this platform. The live selling feature is game-changing." - Small Business Owner

"The unified experience means I don't have to juggle multiple apps anymore." - Content Creator

Business Impact

  • 40% reduction in customer acquisition cost

  • 2.8x higher average order value compared to traditional platforms

  • 85% reduction in cart abandonment rate



🔮 Future Iterations

Planned Enhancements

  1. AR Product Visualisation: Try-before-you-buy experiences

  2. Social Commerce Groups: Community-driven product discovery

  3. AI Shopping Assistant: Personalised product recommendations via chat

  4. Creator Economy Tools: Revenue sharing and promotional features

  5. International Expansion: Multi-currency and localisation support

Metrics to Monitor

  • User engagement depth (time spent in live streams)

  • Seller success metrics (revenue growth, customer retention)

  • Social features adoption rate

  • Cross-platform usage patterns

💭 Reflection & Learnings

What Worked Well

  • User-centred design approach led to high satisfaction scores

  • Rapid prototyping allowed for quick iteration and validation

  • Focus on mobile-first design aligned with user behaviour

  • Integration of social and commerce felt natural to users

Challenges & Solutions

  • Challenge: Balancing social experience with commerce goals

  • Solution: Contextual commerce approach - products within content, not interrupting it

  • Challenge: Complex dual-interface for buyers and sellers

  • Solution: Progressive disclosure and role-based UI adaptation

Key Learnings

  1. Social proof drives commerce: Users purchase more when they see authentic social engagement

  2. Simplicity wins: Each additional step in purchase flow significantly impacts conversion

  3. Live content creates urgency: Real-time interaction dramatically increases purchase intent

  4. Mobile-first is crucial: 89% of users primarily engage via mobile devices


Snaps From the Project

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