Just analyzed our latest NPS survey results. Surprising findings on what drives engagement and retention.
Wondering how others interpret NPS data for mobile apps. Do you look at score trends or dive into the comments?
Feels like there’s more we could do with this feedback to boost growth.
NPS scores are helpful, but I dig into the comments for real insights.
I group feedback by themes and look for quick wins. Recently, we tweaked our onboarding based on comments and saw a 12% jump in day 7 retention.
For growth, I focus on what promoters love and what’s bugging detractors. Testing solutions from user feedback often leads to big engagement boosts.
NPS scores are okay, but the comments are where it’s at. They tell you what people really think. Might help find ways to keep users around longer.
NPS is a starting point, but the real gold is in the open-ended feedback.
Last year, we spotted a pattern in comments about our workout app’s rest timer. Users wanted more flexibility. We tweaked it, and saw a 9% bump in daily active users within a month.
For growth, I sort comments by score. The 9-10s often have feature ideas we can build on. The 0-6s highlight friction points that, if fixed, can reduce churn.
One tactic: we tag common themes in comments and track them over time. Helps prioritize product changes that actually move the needle on retention.
NPS is useful, but it’s just a number. The comments are where you’ll find actionable insights for growth.
I focus on identifying patterns in the feedback. What features do your promoters rave about? What’s frustrating your detractors? Those insights guide product improvements that actually impact retention.
Try segmenting comments by user type or lifecycle stage. New users might have different pain points than long-term power users. Addressing those specific issues can dramatically reduce early churn.
Don’t just read the feedback. Test solutions based on what users are telling you. Even small tweaks can lead to big gains in engagement and retention.
Comments reveal hidden growth opportunities. I scan for patterns and test quick fixes. User insights beat fancy metrics.