Effectively Entering the Personalized Shopping Market

Challenge

Identifying value propositions that resonate with current and prospective users of a popular finance app so they can confidently and effectively enter the personalized shopping market.

Personalized shopping apps all have distinct features, but which do users consider table stakes and which are bonuses? Our client came to us to help determine which of their 11 value propositions were more popular among financial app users and how interests differ across varying user groups.

Approach

In a 12-minute online quantitative survey, we utilized a MaxDiff with accompanying TURF (Total Unduplicated Reach Frequency) to evaluate reactions to 11 branded and unbranded value propositions. By using this method, we were able to rank and scale interest scores for all value props, revealing detailed insights into the reasons why people gravitate toward specific propositions.

Outcome

Our analysis uncovered the most effective value props for our client to showcase in messaging, and feature integration, driving engagement of their personalized shopping platform for current and prospective users.