Lexsis connects app store feedback, in-app signals, support tickets, and user behavior to surface the product decisions that reduce churn and drive retention for consumer apps.
You have app store reviews. In-app feedback. Support tickets segmented by version. Cancellation survey data. NPS from your power users. Community threads about features your product team hasn't prioritized.
Your PM team is excellent. They're still reading through Notion exports and Slack threads trying to figure out what matters.
Lexsis connects every signal source and surfaces the patterns by app version, user cohort, acquisition channel, and usage stage so your product team spends time deciding, not synthesizing.
“73% of customer signals never reach the decision-makers who could act on them.”
“The average cost of a major product mis-decision is $2.4M per year.”
“Lexsis compresses signal-to-decision from 6 to 8 weeks to under 48 hours.”
Lexsis connects app store reviews, in-app feedback, support tickets, and social mentions into one structured feed — so you see issues across every surface simultaneously.
Not every complaint applies to every release. Lexsis segments signals by app version, user cohort, and platform so your team knows exactly where the issue is.
Lexsis monitors the behavioral and feedback signals that precede cancellation — so you know which users are at churn risk before they leave, and why.
Your highest-value users are requesting features in reviews and support tickets. Lexsis surfaces these signals in real time and ties them to the segments who want them most.
Get a walkthrough of how Lexsis connects your app feedback, user signals, and support data into product decisions.
Consumer app teams that act on signals faster build better products and lose fewer users. Lexsis is how you get there.