Consumer Research • Information Architecture • Content Strategy • E-commerce • 2020-present
Product listings managed
Gross sales generated
Engagement lift after optimization
Active and sold listings on the Depop storefront
Starting in 2020, I built and managed an independent resale storefront on Depop selling secondhand and curated fashion items. What originally started as a hustle, became more of a creative endeavor. Beyond simply listing products for sale, I treated each listing as a design and research problem, asking how presentation, language, and pricing affect a buyer's decision to examine, click, and purchase. Over six years of continuous iteration, the store grew to 285+ listings and exceeded $10,000 in gross sales.
Early listings received infrequent engagement despite having quality and trending inventory. Views were unpredictable and conversion from views/likes to sales were low. I had no clear understanding of what buyers were actually thinking or why some sellers outperformed others despite having similar items.
How do I present products in a way that communicates value and drives purchases within the constraints of an algorithm-driven platform?
I was the sole operator. I was responsible for every aspect of the storefront. This included: product sourcing, photography, listing, pricing, customer communication, logistics, and ongoing optimization. All research, decisions, and iteration were self-directed over six years, up to now.
Studied top-performing listings across the platform to identify patterns in photography style, description length, hashtag usage, and pricing. Building a foundational understanding of what high-converting listings had in common.
Iterated on one variable at a time. I changed backgrounds in photos, description format, hashtag density, and price points. I did this while tracking views versus sales over time to identify what users actually favored.
Developed a consistent photography approach based on which image formats correlated with higher views/likes. This included lighting conditions, angles, and laying products in a clean and concise matter.
Before listing optimization: 9 likes.
After listing optimization: 99+ likes.
Listings with natural lighting and multiple angles and photos received significantly more views than listings with single images and unfavorable lighting.
Descriptions that answered common questions upfront such as measurement details, condition, and materials reduced DMs and increased purchase confidence.
Optimized listing titles with targeted keywords improved SEO and increased product visibility within Depop's platform.
Offering bundle deals increased average order value.
Response time to buyer DMs directly correlated with conversion. Faster replies led to more completed sales.
Treated each listing as an individual experiment rather than a routine task. This allowed for continuous learning across a massive inventory.
Prioritized consumer language in titles and descriptions. This kept the buyer's perspective central to every listing decision.
Built a consistent visual style across all listings to create a cohesive storefront that felt trustworthy and professional to browsing buyers.
Over six years of iteration, the storefront grew to 285+ active and sold listings and exceeded $10,000 in gross sales. Additionally, the process built a repeatable framework for understanding how presentation affects buyer perception.
Running this store taught me that consumer behavior is both observable and testable, even without actual research tools. Changing one variable on a listing, watching what happened, and applying what I learned to the next listing is the same motive that drives UX research. The main difference between what I did here and formal research is scale but not mindset and consistency.
ⓘ Platform: Depop - a mobile, algorithm-driven resale marketplace with a largely Gen Z user base.