Personalized setup raised upgrades before users tried the app
The book-summary app split new users evenly for an . Half answered a few questions that were used to recommend suitable books, while the other half skipped the questions and went straight to the same recommendation list shown to everyone.
People who answered the questions were more likely to upgrade before exploring the main or trying a book summary. The team believed the questions made the app feel tailored to each person’s interests.
Later tests added screens showing famous people and books they enjoy, raising the by 20%. A playful character and an approving message after each answer improved further, although no additional figure was provided.
Key points
- New users were divided evenly between a question-based flow and a direct path to recommendations.
- The question-based flow deliberately avoided asking too many questions.
- Users who answered p questions were more likely to upgrade before trying the main product.
- Screens famous people with books they enjoy raised the by 20%.
- Positive messages and playful characters after each answer produced a further, unspecified improvement.