Data & PPC Ads
Marketing campaigns require data-driven judgment to prevent resource waste. This is especially critical in PPC ads and paid advertising, where results are quantifiable. While AI handles media buying, the marketer's core role is to strategically define the approach, set clear goals, and continuously evaluate and refine the process through rigorous feedback loops.
01
$260K Revenue:
986% ROAS with Lookalike Targeting
Analysis of previous promotion data revealed low purchase efficiency among new users from paid advertising. To address this, I shifted the focus to precision targeting by creating lookalike audiences based on our highest-value existing customers. This strategy accelerated the ad's learning phase and, combined with full-funnel performance marketing and strategic promotional page planning, achieved $260K USD in revenue with a 986% ROAS during the Holiday Promotion.
02
615% ROAS
: Overcoming Pixel Limits with Custom Retargeting
To strengthen repurchasing during the Lunar New Year Promotion, I faced a challenge with Meta's 180-day retargeting limit on pixel data. I strategically overcame this limitation by manually gathering and compiling customer phone numbers to create a custom audience list. Deploying this manual list for the Meta retargeting campaign allowed us to precisely reach long-term previous buyers, resulting in $126K USD in revenue and a 615% ROAS for the promotion.
03
Data-Driven Keyword Strategy for High ROAS
My analysis showed our paid social strategy, which used product nicknames, was missing out on valuable search traffic when customers looked up those names. I collaborated with the product team to list all the unique nicknames and created targeted Search Ads (SEM) using these specific keywords. This strategic intervention successfully captured previously lost traffic and dramatically increased our ROAS, achieving an impressive 5,413% ROAS through the search engine marketing campaign.