Samsung Ads

From Catch-Up to Industry leaders in TV Advertising.

Led a transformation of Samsung Ads’ interactive TV ad experiences—from replicating industry norms to defining a differentiated user-centric platform.The work focused on elevating design quality, validating ideas through research, and proving business impact.

Improving how users notice, understand, and interact with ads represented a major opportunity to increase engagement—without interrupting content consumption.

Breaking Out of Industry Parity

Project Overview

Background

1

Samsung Ads needed to evolve TV advertising beyond static, interruptive formats into experiences that felt more relevant, interactive, and valuable to both viewers and advertiserswithout disrupting content consumption.

Why It Matters

We identified this as a problem opportunity through a combination of user behavior signals, advertiser feedback, and platform constraints. Users consistently disengaged from traditional TV ads (channel switching, passive viewing), while advertisers pushed for higher interaction, measurability, and performance beyond impressions. At the same time, the existing ad UI limited innovation (e.g., static formats, QR code constraints), leaving revenue and engagement unrealized.

This mattered because closing that gap—by making ads interactive, contextual, and non-disruptive—directly impacted advertiser satisfaction, user retention, and platform monetization. The Creative Canvas unlocked new ad formats, validated demand through alpha/beta interest and signed revenue, and established a scalable foundation for future ad innovation across TV, mobile, and web.


My Role

2

I owned the end-to-end design and validation of a new product-discovery pattern for interactive TV ads, partnering with product, ads strategy, and user research.


Problem Statement

3

Existing TV ad formats were visually constrained, offered limited interaction, and suffered from engagement drop-off (e.g., banner blindness, low QR scan rates). Advertisers lacked flexible creative tools to showcase products, drive action, or adapt ads to different moments in the TV viewing experience.


Creative Canvas explored a modular, interaction-first ad system that enabled dynamic formats (carousels, overlays, paused ads, dynamic QR codes) to improve engagement, expand advertiser use cases, and unlock new revenue streamswhile preserving a high-quality viewer experience on Samsung TV.


Opportunity

4

Measurable Outcome

  • A securing a $15M contract commitment for the 2026 term

    Enabled adoption across 8/10 advertiser verticals, exceeding historical averages, secured $15M in 2026 advertiser commitments, and demonstrated 62.5% uplift in consumer engagement through usability testing

  • Strong Cross-Industry Advertiser Adoption of New Ad Formats

    Advertisers across consumer goods retail, automotive, quick-service restaurants, insurance, and financial services demonstrated strong interest in the new ad formats and signaled readiness to commit.

  • Designing for Global, Multi-Platform Reality

    The solution work across:
    Multiple OS, Device types, Regions (privacy, ads policy, UX expectations)

    Stakeholders: Ads, Platform, Legal, Privacy, AI, Engineering

Creative Canvas: Product Carousel

Design challenge

How do we expose multiple products within a single TV ad without increasing cognitive load or requiring complex remote input?

Insight & Hypothesis

From prior ad performance data and exploratory research:

  • Users scan visually first, then decide whether to interact

  • Motion can act as affordance in lean-back contexts

  • Too much control friction causes drop-off

Hypothesis

A lightweight, motion-led product carousel would increase product awareness and interaction without disrupting the viewing experience.

Solution Overview

Product Carousel Format

  • Displays multiple products within the ad canvas

  • Optimized for D-pad navigation

  • Works across advertiser verticals and creative styles

Key design principles:

  • Discoverable without instruction

  • Interruptible at any time

  • Scalable across brands and layouts


“Through hands-on exploration and iteration, I experimented with multiple ways to surface products within the ad experience. This process led to the discovery of the product carousel format as the most natural, unobtrusive, and effective way to showcase products while the ad is playing.”

— Design Exploration

Design Exploration & A/B Testing

  • Design A - Auto-Rotating Carousel

    The product carousel auto-rotates to signal that additional products are available, while still allowing users to manually override and navigate forward or backward at any time.

  • Design B - Manual Carousel

    The carousel does not auto-rotate; users must use the remote’s left and right buttons to browse available products.

Research & Validation : Through moderated TV usability testing

Qualitative usability testing :
interaction comprehension

In addition, user testing revealed several statistically and behaviorally significant insights that further informed design decisions.

Big Ideas, Real Impact.

In addition, user testing revealed several statistically and behaviorally significant insights that further informed design decisions. Big Ideas, Real Impact.

To move the decision forward, I:

  • Designed a dynamic QR prototype outside the core roadmap

  • Submitted the concept to Samsung’s internal Revenueathon (product-focused hackathon)

  • Defined consumer success metrics that would drive business metrics (scanability, layout flexibility, format unlocks)

  • Tested the concept in realistic TV viewing conditions

  • Packaged findings into a business case for leadership review

The project won 2nd place among competing revenue concepts.

At the time, there was no clear consensus to replace static QR codes. Engineering cost, timeline risk, and uncertain ROI made the proposal hard to justify within the standard roadmap.


“I recommended a dynamic QR code because it gives us flexibility and performance after launch. Unlike a static QR, we can update the destination without re-shipping the ad, measure real engagement, and optimize over time through testing. That reduces operational risk, supports attribution, and turns the QR from a one-time interaction into a scalable growth lever— which is critical in a TV and ads ecosystem”.

Replaced the static QR code with a dynamic QR system

The Revenueathon outcome provided the proof point leadership needed to greenlight the dynamic QR code as the default direction—moving the team from incremental iteration to platform-level thinking.

Business Impact–Revenue opportunity and scalable roadmap

The introduction of dynamic QR codes unlocked new ad formats—including in-content overlays, squeezed ads, picture-in-picture, and interactive trivia and polls—creating incremental value for both advertisers and viewers. The work delivered clear business impact, earning executive buy-in, first place at Samsung’s internal Revenueathon, and contributing to a projected ~$15M revenue uplift.

Project:
Paused Ads

Project:
In Content Overlay Ads

Project:
Squeezed Ads

Project:
Picture In Picture


“All solutions were designed to scale across TV, mobile, and web—while meeting regional ads and privacy requirements in the US, EU, and Korea”.

Measurable Outcome

  • Key Learnings

    Qualitative insight for Ads Format: Across both scenarios, participants found the ad format helpful and appreciated seeing products featured during playback. This motivated them to continue watching the ad rather than leaving the room or changing channels.

    Product Carousel Variation Comparison: 70% or participants preferred the carousel to auto-scroll with the option to override using left/right navigation. They noted that auto-scroll with pagination prompted remote interaction.

  • Recommendation

    Implement ad countdown across all interactive ads.

    Introduce a promotional countdown showing how many hours remain until the offer expires.

    Build Trust in QR Codes: Conduct A/B testing with different QR code designs, placements and security indicators to increase user confidence.

    Streamline the Experience: Ensure that scanning leads directly to the user’s preferred platform (e.g., Instacart account) rather than an advertiser’s generic landing page.

    Leverage Partnerships: Collaborate with food delivery services like Instacart or DoorDash to make promotions more credible and seamlessly integrated into uses’ existing purchase journeys.

    Product Carousel: Use the version which auto-scroll a few time to prompt user.

Creative Canvas – Paused Ads: Monetizing Intent Without Interrupting Content

Paused Ads introduces a new, non-intrusive advertising moment on TV—capturing high-intent attention while preserving viewer trust and content integrity.

High Ad Load Sensitivity on TV

Traditional TV ads interrupt content and reduce satisfaction. Viewers tolerate ads only when they feel contextually appropriate and non-disruptive, limiting opportunities for incremental monetization.

Project Overview

Background

1

After validating interactive formats (Product Carousel + Dynamic QR code), I identified a behavioral moment that was structurally underutilized: the user-initiate pause state.


Problem Statement

3

User Tension

  • Mid-roll ads interrupt content.

  • Static pause screens provide no value.

  • Users are sensitive to ad overload on TV.

Business Constraint

  • Limited non-intrusive inventory.

  • Pressure to grow advertiser revenue without increasing ad load.

Core Question

  • “Can we introduce monetization at a moment of user intent without degrading trust?”



My Role

2

After validating interactive formats (Product Carousel + Dynamic QR Code), I identified a behavioral moment that was structurally underutilized: the user-initiated pause state.

Design challenge

Can we introduce advertising during pause without degrading user trust or increasing abandonment—and can it scale globally?

Key Insight

Pausing content is:

  • Voluntary

  • Intentional

  • Attention-focused

Unlike mid-roll interruptions, pause moments represent a self-initiated behavioral break, which reduces perceived intrusiveness.

This reframed paused ads from an ad placement problem into a behavioral alignment opportunity.

Hypothesis

If paused ads are optional, visually restrained, and powered by Dynamic QR code for frictionless engagement, users will perceive them as contextual rather than disruptive.

Solution Overview

Paused ad experience

  • Triggered only when the user presses pause

  • Contextual creative placement

  • Embedded Dynamic QR Code (not static)

  • Immediate dismissal option

  • No auto-play expansion

Design principles:

  • Respect user control

  • Avoid visual dominance

  • Maintain content primacy

  • Create optional value exchange

This ensured monetization did not compromise platform trust.

From Research to Concept: Defining the Paused Ads Opportunity

I began by researching user needs, competitive patterns, and market expectations for paused ads. I then translated those insights into rough concepts and wireframes, rapidly iterating across multiple variations to explore layout, placement, and interaction models.

Experimentation & A/B validaton

For this test, users evaluated two paused-ad variations. One was a basic version, while the other included a QR code and social-proof messaging indicating how many people had taken the offer within a recent time window.

Variant A: Paused ad without QR Code

Variant B: Paused ad with QR Code + social proof

Increased willingness by 400%

“A/B testing showed that adding social proof to paused ads increased QR engagement—even among users who previously avoided QR scanning—by increasing perceived value and reducing uncertainty.”

Findings

  • Users previously resistant to QR Code scaning engaged when interaction was paired with a voluntary pause.

  • Social proof messageing increased perceived value.

  • No measurable decline in content satisfaction.


“Conclusion: Paused ads perform best when they are user-controlled, readable, transparent, and contextually relevant. Done right, they offer a high-recall, low-intrusion monetization opportunity”.

Business Impact

Paused Ads became a strategic complement to interactive and dynamic formats.”

Validated a new premium ad moment without content interruption

  • Increased advertiser interest in non-disruptive formats

  • Strengthened Samsung Ads’ differentiated position in CTV

  • Expanded inventory without increasing ad load

Strategic Impact

Paused Ads achieved:

  • New inventory without increasing ad frequency

  • Adoption across multiple advertiser verticals

  • Contribution toward ~$5M projected revenue opportunity

  • Establishment of a reusable interaction layer

More importantly:

It shifted the monetization model from interruption-based to behavior-based engagement.

System-Level Contribution

Paused Ads became:

  • A template for future interactive overlays

  • A structured signal source for AI-powered contextual ranking

  • A scaleable format across markets

Vision AI (VAC): Intent-Driven Discovery and Advertising on TV

Vision AI reimagines the TV as an intelligent, centralized interface—using user intent to connect content discovery, device control, and contextual advertising into a single, cohesive experience.

Project Overview

Background

1

The Vision AI project was designed to help users discover relevant content while delivering ads aligned with their search intent.

It also presented a business opportunity to extend personalized ad experiences based on user prompts, positioning the TV as a centralized hub that connects and controls experiences across devices in the home.


My Role

2

As interactive ad formats matured (Carousel > Dynamic QR Code > Paused Ads), I saw an emerging gap: We had engagement surfaces – but limited intelligence driving what user actually saw.

  • Defined AI application use case

  • Structured research problem framing

  • Synthesized user insights with AI capabilities

  • Participated in Microsoft AI learning community

  • Prototyped AI-assisted workflow simulations

  • Explored ethical and privacy guardrails


Problem Statement

3

User Problem

  • Users must manually search or scan to find relevant products.

  • Discovery on TV is friction-heavy.

  • Recommendations lack contextual awareness.

Business Problem

  • Advertisers want precision targeting.

  • Engagement varies widely across categories.

  • Monetization lacks adaptive intelligence.

How can AI reduce interaction friction while increasing contextual relevance – without violating user trust?


Opportunity

4

Vision AI addresses a growing gap between fragmented content discovery, disconnected devices, and generic advertising experiences in the living room. Today, users struggle to find relevant content quickly and manage multiple devices across ecosystems, while advertisers lack contextual, intent-driven moments to engage audiences. Vision AI solves this by centralizing discovery, control, and monetization on TV—using user intent and real-time context to deliver relevant content, coordinated device experiences, and high-value, non-disruptive ads. This creates a differentiated platform that improves user satisfaction, increases engagement, and unlocks new premium advertising opportunities.

Hypothesis

If we use vision-based content analysis and behavioral data:

  • We can surface contextually aligned products.

  • Increase voluntary engagement.

  • Improve advertiser ROI.

  • Reduce irrelevant exposure without increasing UI complexity.

Solution Overview

VAC System Concept

Vision AI analyzes:

  • On-screen content context

  • Category alignment

  • Viewer behavior paterns

Outputs:

  • Dynamic product ranking

  • Contextual overlays

  • Smarter QR-triggered experiences

Design principles:

  • Invisible intelligence

  • No added interaction burden

  • Clear user control

AI-Assisted Insight Synthesis

I used AI tools to accelerate qualitative insight clustering and pattern detection across user research datasets.

Applications:

  • Thematic grouping

  • Behavioral signal mapping

  • Hypothesis generation

  • Rapid scenario modeling

Designing at the Platform Level with Vision AI

For the Vision AI project, I approached the product from a platform perspectivealigning business goals with a cohesive end-to-end experience. I designed an AI dashboard that unifies content discovery, advertising, and device control, enabling users to manage all household devices seamlessly from the TV, creating a centralized, living-room–first experience.

Vision AI Opportunities User Flow

Intent-First AI Experience (VAC)

AI entry via remote for low-friction access

  • Pre-populated prompts based on household behavior

  • Results combine:

  • Relevant content

    1. Sponsored placements (clearly labeled)

    2. Optional actions (save, send to phone, continue watching)

  • TV acts as the centralized dashboard for discovery and control


Ads are contextual, optional, and intent-aligned.

Pharse 1: User Flow

Measurable Outcome

  • Designed for Scale, Not One-Off Experiences

    Research reduced risk before engineering investment.

    Tested sponsored vs. non-sponsored result acceptance

    Evaluated comprehension, trust, and perceived value

    Identified thresholds where ads became disruptive

    Used findings to define clear guardrails for AI monetization

  • Business Impact

    Established a new high-intent ad surface on TV

    Increased advertiser relevance and confidence

    Created a scalable foundation for AI-driven monetization

    Positioned Samsung Ads to lead in AI-powered CTV experiences


“Vision AI demonstrates how intent-driven design, rigorous research, and platform thinking can unify user experience and monetization—without sacrificing trust.”.

— This work positions TV not just as a screen, but as an intelligent interface for the home.

Thank you so much!

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