Product Metrics
Keep your finger on the pulse of product KPIs that are tailored for your business.
Engagement
Daily Active Users, Monthly Active Users, New Installs
Retention
D1, W1, DAU/MAU
Activity
Likes per DAU, Shares per DAU, Complete/View
Monetization
User Churn, ARPU, Trial Rate, Subscription Attach
Funnel
Registration, Purchase, Upload, Invite
Performance
Launch Time, Crash Rate, Download Failure Rate
Breakdowns
Cohort, App Version, Platform, Device Type,
Country, Gender, Age, Campaign, Organic vs. Paid
Industries
Music
Listen Completion, Upload, Join, Download Success Rate
Media
Average View Time, Views per Session, Likes per DAU
Entertainment
Plays per Session, Session Length, View Completion Rate, Average Screen per Visit
Education
Views per Session, Completion Rate, Session Length
Social
K-Factor/Viral, Shares per DAU, Posts per DAU, Invites per DAU
eCommerce
Purchase Funnel, Value per Order, Session Length, Time to First Order
Travel
Booking Funnel, Search, Property View, Intent, Application, Reservation
Gaming
Sessions per User, Session Duration, Drop-off Rate, ARPU, ARPDAU, LTV
Health
Time on Page, Active Visitors, Activity per Session/DAU, Churn, CTR
Marketing
Self-service analytics for the modern product marketer
Attribution
Identify which marketing channel users are coming from and determine their impact on product metrics.
Easily separate users by organic versus paid, and by different marketing campaigns, social channels, deep links, and push notifications.
Decode how different marketing channels impact retention, lifetime value, and churn quickly. Conduct live experiments, get anomaly alerts, and make decisions efficiently based on real-time, data-driven insights.
Customer Engagement
Enjoy seamless integration with leading vendors in customer engagement, and launch campaigns targeting specific user cohorts. Close the loop by measuring the impact of these campaigns through Kubit's easy-to-use Self-Service analytics.
Understand users’ social behavior and identify key viral loops with our effect and prediction features, and design targeted marketing campaigns for specific user personas.