Display Ads at Tripadvisor

date_range When: 2015–2019

group Role(s): Lead Designer

devices Platform(s): Web, Mobile, and App

  • PRODUCT DESIGN

  • DISPLAY ADVERTISING

  • WIREFRAMING

  • TRAVEL

  • PROTOTYPING

  • FRONT-END DEVELOPMENT

  • IDEATION

  • UX DESIGN

  • AD OPERATIONS

Introduction

From 2015 to 2020, I worked as part of the Digital Display Advertising Team at Tripadvisor. During this time, I spearheaded the transformation of traditional banner ads into cutting-edge, data-driven solutions. These innovations not only elevated the quality of advertising on the platform but also contributed over $5 million in revenue. Here’s how design psychology and innovative processes played a central role in this evolution.

Saying Goodbye to Flash

In 2015, the advertising world faced a seismic shift: the depreciation of Flash in favor of HTML and rich media formats. Leveraging my self-taught front-end development skills, I facilitated a smooth transition for our team. By the end of the year, our banners were no longer reliant on Flash but were built using HTML or delivered as static images. This transition laid the groundwork for a new era of interactivity and innovation.

Harnessing Data for Smarter Decisions

HTML banners provided an exciting opportunity: embedded code could capture user interaction data like never before. I led collaborative brainstorms with our ad operations team to develop custom code snippets aligned with Google’s DoubleClick ad management platform. This enabled us to measure click-through rates (CTR) with precision and integrate pixel tracking on client pages, offering unparalleled insights into user behavior.

By understanding and measuring user intent through data, we optimized ad performance and created a feedback loop that continuously informed better designs.

Innovations: Engaging Users with Interactive Designs

Previously, robust banner production was outsourced to third-party vendors, leading to inefficiencies in timelines and budgets. In 2016, I championed the shift to in-house production, delivering measurable benefits:

  • Efficiency: Project timelines were halved, with initial iterations completed in as little as 1–5 days.

  • Cost Savings: Eliminated vendor fees and unpredictable charges.

  • Enhanced Communication: Streamlined collaboration between internal teams reduced the need for prolonged meetings and vendor calls.

Simplifying processes and reducing friction fostered better collaboration, faster feedback, and stronger client relationships.

Scalability and Dynamic Personalization

As campaign complexity grew, so did the need for scalable solutions. By 2019, we adopted Celtra, a dynamic ad platform that enabled personalized experiences based on user location, language, behavior, and even weather conditions. Celtra revolutionized how we approached creative solutions, allowing us to deliver targeted, high-performing campaigns at scale.

Personalized content resonates with users on a deeper level, increasing engagement and driving action.

Conclusion

Through innovative thinking, technical expertise, and a commitment to design psychology principles, I helped transform Tripadvisor’s digital advertising offerings. By focusing on user engagement, data-driven design, and operational efficiency, I enabled the team to deliver extraordinary results for clients and achieve significant revenue growth. This project exemplifies how thoughtful design can elevate user experience and business outcomes simultaneously.

Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor
Transforming display advertising at Tripadvisor