Mobile product discovery survey — Personalization use cases
2026-02-28 18:57 Diff

Creating a user survey to better segment mobile visitors and serve them recommendations

Who:

A large fashion retailer

Strategy:

To encourage product discovery, mobile visitors are urged to complete a survey about their preferences. Afterward, content is fully personalized throughout the app using ‘explore cards’ and product recommendations, fully tailored to the customer’s gender, style, and preferences.

Hypothesis:

With limited real-estate to work with on mobile, brands need to ensure the user experience is optimized for smaller screens, where product discovery is harder to achieve than on desktop. As the visitors often understand the constraints, they may be more likely to share details about their preferences in exchange for a better experience. By deploying a survey with questions to elicit this important information, teams can use the answers to better personalize elements across mobile channels, increasing the likelihood of purchases and driving higher AOV.

What real growth looks like with personalization

  • How Valamar converts travel intent into bookings with real-time context

  • What makes Saks’ personalization engine a game-changer for driving 10% more conversions?

  • Bringing the in-store expert online: How Bergzeit reinvented gear discovery with conversational commerce

  • 32% of Total Purchases from AdaptML Recommendations

  • +88% Conversion Uplift with Mastercard Predictive Spend Insights

  • Making Personalization a Breeze for Leading Financial Institutions

  • +10.3% uplift in add-to-cart rate

  • 39% decrease in same-month cancellations

  • 16% contribution to D2C revenue from Dynamic Yield

  • 16% of revenue from recommendations