Scaling a Fashion Marketplace to 500 Brands

The Challenge

Early adopters loved the product, but growth had stalled around the same number for months. Marketing budget was spread across six channels with no shared tracking, so nobody could tell which spend was working and which was waste.

Our Approach

Research, Analysis, and Strategic Foundation

• Ran a market analysis covering target segments, competitor positioning, and where the real growth opportunities were
• Built customer personas from behavioral data, 20+ interviews, and third-party research
• Mapped the full customer journey and flagged the specific steps where people dropped off or got stuck

Design, Development, and Implementation

• Built the core platform features, prioritizing the ones users asked for most
• Set up analytics so the team could see what was happening in real time instead of waiting for monthly reports
• Automated the repetitive workflows that were eating 15+ hours per week
• Connected the separate systems into one data pipeline so every team worked from the same numbers

Launch, Optimization, and Scale

• Scaled the campaigns that were working and shut down the ones that were not
• Expanded into two adjacent market segments that early data suggested would convert well
• Signed partnership deals with three complementary companies to reach new audiences
• Built retention programs focused on the first 90 days, where most churn happened

Key Takeaways

1. Growth worked best when marketing and product shared the same goals. Treating acquisition and retention as separate problems led to conflicting priorities.
2. Over 70% of user sessions in every European market we entered came from mobile devices. Designing for desktop first and adapting for mobile was backwards.
3. The highest-performing acquisition channel was word of mouth from users who genuinely liked the product. No ad campaign came close.
4. The organic content we published in month two was still generating leads eight months later. Paid campaigns stopped the moment we stopped paying for them.
5. Reducing monthly churn by 2 percentage points had the same revenue impact as increasing new signups by 15%. Retention math is unforgiving.

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