Coupang · Live Commerce · 2022

Turning live-commerce viewers into buyers

Coupang Live lets customers buy products during a live or VOD stream, like TV home-shopping. Reach was strong — but too few viewers converted, and too many drifted away mid-stream.

My roleUX lead — customer, creator & vendor apps
FocusConversion & engagement
ToolsFigma · usability testing
Business goal

Grow revenue by converting attention into purchases.

Live commerce sits across the whole funnel — awareness, interest, engagement, consideration, conversion, and retention. Two goals mattered most: maximise real-time purchase conversion (CVR) to grow sales, and raise engagement so viewers keep coming back and drop off less.

Awareness Interest Engagement Consideration Conversion Retention ▲ CVR lift purchases ▼ Drop-off keep them in strong reach
Reach was strong at the top of the funnel — the two goals targeted the bottom: conversion and retention.
Problem

Three gaps between watching and buying.

1Conversion

Low purchase rate

The share of viewers who bought during a live stream was low — attention wasn't turning into orders.

2Engagement

Shallow immersion

Little live chat or reaction meant weak immersion, and few interactive features to pull viewers in.

3Retention

Mid-stream drop-off

Viewers left to browse other products elsewhere, so drop-off climbed during the broadcast.

Hypothesis

Two bets grounded in behaviour.

H1Sense of urgency

Real-time buyer & cart alerts will raise conversion

Surfacing "others are buying right now" creates a sense of urgency and social proof, nudging viewers to purchase. The psychological signal that other people are buying stimulates the urge to buy.

H2Keep them in the stream

A recommendation drawer will cut drop-off

Letting viewers explore more products without leaving the live stream keeps them watching — browsing inside the broadcast prevents the exit.

PROBLEM SOLUTION Low purchase rate attention isn't turning into orders Shallow immersion weak engagement, few reactions Mid-stream drop-off viewers leave to browse elsewhere Real-time buyer & cart alerts sense of urgency + social proof Like button + live count participation raises immersion In-stream recommendation drawer browse without leaving
Each identified problem mapped directly to one design intervention.
Benchmark & trade-off

Learning from Taobao and Amazon — without cluttering the screen.

Taobao Live maximises conversion with real-time purchase alerts and social-proof effects. Amazon Live drives buying with in-stream product recommendations and a fixed call-to-action.

The tension: more interactive elements risk a busier, more complex screen. The answer was an intuitive, minimal treatment — each new element earns its place and takes as little space as possible.

Prototype

Three changes, built and tested in Figma.

I prototyped the improved interactions to validate them before build: real-time buyer & cart alerts, a like button with live participant count, and a "see more recommendations" drawer. The screens below are from the working prototype.

Real-time purchase-urgency overlay: order volume is rising
Urgency cue — "orders are rising" surfaces during the stream
Add-to-cart social proof notification
Social proof — live "added to cart" and participant alerts
In-stream product list drawer
Recommendation drawer — browse products without leaving
User testing

Validated with real Coupang Live users.

I ran interviews and usability tests with Coupang Live users in their 20s–40s, evaluating interaction clarity, information access, and whether the changes lifted intent to purchase.

Feedback

Alerts drove urgency

Real-time buyer and cart notifications stimulated the urge to purchase.

Feedback

Likes raised immersion

The like button and live count made the stream feel more alive and participatory.

Feedback

Drawer reduced exits

The recommendation drawer let people browse without abandoning the broadcast.

Outcome

Measured lift after launch.

+14%
Purchase conversion (CVR)
1.20% → 1.37%
-10%p
Live-commerce drop-off rate
80% → 70%