H&m Group
Redefining Engagement at H&M Group
H&M Group, founded in 1947, has grown from a small clothing shop into a global design empire, operating over 4,700 stores across 76 markets. Its mission—making design accessible to all—has long defined its success. Yet, as e-commerce reshaped retail, even a giant like H&M faced a challenge: retention. Millions visited its online platforms, but few returned.
The problem was clear: How could H&M foster deeper connections with its users? To answer this, the company embarked on a journey of UX research and innovation, uncovering insights that transformed its digital experience and redefined customer engagement.
Retention: The Silent Crisis
H&M’s online traffic was robust, but repeat visits lagged. Research soon revealed the roots of the issue. Many users found the experience impersonal, lacking features to anchor their habits. Recommendations were generic, failing to leverage customer preferences. Frustration over sold-out items, without any means to track availability, further eroded trust and engagement.
In the fiercely competitive e-commerce market, the stakes were high. H&M needed more than an incremental fix; it required a shift from transactional interactions to delivering meaningful experiences that resonated on a personal level.
Uncovering Insights Through Research
- Interviews and Surveys
- Interviews with 20 users and surveys of 2,000 respondents revealed a recurring frustration: users wanted a low-effort way to save items of interest without the pressure to buy immediately.
- Behavioral Analytics
- Heatmaps and clickstream data from thousands of sessions showed a sharp drop-off when users encountered out-of-stock items, underscoring the need for better communication about availability.
- Competitor Analysis
- A detailed benchmark study of competitor platforms highlighted the effectiveness of «wishlist» and notification features in driving repeat visits and habitual engagement.
From Insights to Solutions
Measuring Success
- Conversion rates increased by 6%, reflecting renewed user interest.
- Feature adoption reached 3%, a strong start that validated the appeal of Favourites.
- Account registrations rose by 8%, as users saw the value of a more personalized experience.
Lessons from the Process
- Start Small, Iterate Quickly
- Early prototyping and testing allowed the team to identify and address friction points, saving time and avoiding costly missteps.
- Let Data Lead the Way
- Behavioral analytics guided decisions, ensuring the features aligned with actual user behaviors and needs.
- Build Trust Through Transparency
- Clear communication about how features worked—such as the ability to save items without logging in—helped build loyalty.
Challenges Along the Way
Looking Forward
- AI-driven personalization to suggest items tailored to individual tastes.
- Social sharing features to let users inspire each other.
- Rewarded exploration, offering incentives for curating and discovering new styles.
- Quarterly feedback loops to continuously refine the user experience.