This case study explores how the TikiAds performance table was designed to adapt to different seller needs.
Product
Marketplace Platform
Target User
Small Sellers, Brands
Role
Graphic Designer
Collaborators
Business Analyst ᭼ Tech Lead
Team
Tiki's Product Design
Background
TikiAds is an advertising platform inside the Tiki marketplace, designed similarly to Google Ads. It offers tools for managing campaigns and tracking performance. However, many sellers find Google Ads–style concepts complicated. Even experienced sellers who have used other advertising platforms find TikiAds confusing and feel it does not meet their expectations.
This project focused on redesigning the performance table to help sellers easily track results and manage keywords and products, without overwhelming them with unnecessary complexity.
Approach
Focus Areas in Design Thinking Stages
Empathize
GoogleAds Platform Architecture Analysis: reviewed the Google Ads system to understand how features, workflows, and data flows are organized.
Seller Persona Development: defined user goals, motivations, behaviors, and pain points.
Define
UX Audit: evaluated the existing system to identify usability issues and friction points.
Key Design Decision: cross-functional alignment with BA and Tech Lead to prioritize opportunities based on user impact, business goals, and technical feasibility.
Ideate + Prototype
Design Proposal: created high-fidelity wireframes to visualize the proposed solution.
Test + Learn + Adapt
GoogleAds Platform Architecture Analysis
We ran a quick benchmark of the Google Ads system and identified its 3-level structure: Campaign, Ad Group, and Ad (product). Each level supports different aspects of ad setup and optimization.
Campaign: Overall goal and budget.
Ad-group: Keyword targeting and bidding.
Ad: Individual product performance.
GoogleAds Structure
Seller Persona Development
Through collaboration with the Business Team, we identified 2 main seller types using the TikiAds system:
Small sellers: They had limited experience with advertising tools. Their primary goal was to run ads for specific products and quickly understand results.
Big sellers / Brands: They had had experience running multiple campaigns at the same time. They cared about optimization, control, and performance comparison. They were familiar with ad hierarchies and bidding logic from other platforms such as Google Ads and Facebook Ads.
UX Audit
After reviewing user feedback with the Business Team on the existing TikiAds system, we identified 3 key issues:
The system structure was confusing: Ad Group and Ad (Product) appeared at the same level in the hierarchy. This confused many sellers, including brands.
Keyword management was hard to access: Users had to go through many layers to reach keyword targeting. This slowed down campaign optimization.
Updating campaigns was not easy: It was difficult to add new products or keywords to existing campaigns. Users needed a simpler way to expand their campaigns.
Tiki's Original Ads Structure
Key Design Decision
We decided to hide the Adgroup level for small sellers. This allowed them to focus on individual product performance without needing to understand campaign structure or bidding strategies.
For big sellers and brands, we introduced an advanced version of TikiAds that exposed the Ad-group level. This version provided additional controls and metrics for strategy, segmentation, and optimization, supporting more complex advertising workflows.
Revised Ads Structure
Design Proposal
Based on the differences in seller needs, we developed 2 design proposals for the performance table. This approach allowed us to maintain 1 unified ad system in the backendwhileadjusting how the structure was displayed on the frontend.
Version 1
For small sellers, we hid the Ad-group level and presented a flat structure. Products and keywords were displayed directly, making performance easier to understand without exposing the underlying hierarchy.
Table Display for Small Sellers
Version 2
For big sellers and brands, we displayed the Ad-group level as a hierarchical structure within each campaign. This allowed them to manage multiple ad-groups under a campaign and provided better control over segmentation and optimization.
Table Display for Big Sellers and Brands
What Improved
Made performance easier to compare: Reduced the table from 4 levels to 2 levels, so sellers can compare campaigns without going through many layers.
Helped sellers optimize campaigns faster: Made key data easier to see, so sellers can quickly adjust bids, budgets, and products.
Built more trust in the platform: Clearer and more transparent data helps sellers feel more confident when making decisions.