Redesigned how listings rank on the country's biggest property site.

I replaced the ad ranking at Ukraine's most-visited property site with a model, earning 15-30% more per client without hurting the experience.

Reworked the ranking and rebuilt the tools both sides use — earning 15–30% more per client without hurting the experience.

ЛУН · full-time · lun.ua

Context

One of the most data-rich property platforms in Eastern Europe. The way listings were ordered left money on the table, and clients couldn't see how their ads performed.

The problem

Rework how listings are ranked to earn more per client without hurting the experience — and rebuild the tools both sides use to track performance.

What I did

• Led the full redesign of how listings get ranked
• Built the internal tool the operations team uses to manage campaigns
• Redesigned the performance dashboard for business clients
• Worked across 3 product managers, 4 designers, and 12 engineers

Results

• 15–30% more revenue per client within a year
• No drop in how people used the site
• 40% faster to launch and monitor campaigns on the new tool
• 50+ business clients moved onto the new dashboard

Skills used

ML ranking, ClickHouse, Python, SQL, BI

Next

Next case: MacPaw. If you have a similar problem, see how I work with clients, read the about page, or get in touch.