Powerful product analytics for all apps and devices

Mobile Analytics
In-app usage analytics, user profiles, rich push notifications and crash analytics for all major mobile platforms
Web Analytics
Analytics, visitor profiles and error reporting for your web applications and web sites
Desktop Analytics
Analytics and crash reporting for your Mac and Windows applications
IoT Analytics
Analytics and error reporting for your Internet of Things devices

Mobile App Analytics and Marketing

Automatically track default metrics just by integrating Countly SDK into your app
Metrics such as active users, time spent in-app, application version, platform, customer location will be there waiting for you in your dashboard after integrating Countly SDK into your mobile application, no additional configuration required. Countly is true real-time so every data point sent from the SDK is instantly available in the dashboard.
Out of the box mobile analytics metrics
Custom event tracking for mobile applications
Track all important metrics and transactions using custom events
Tracking important milestones, customer interactions or transactional statuses in your mobile application has never been easier. Simple JSON based custom event mechanism lets you send data into Countly together with any key-value based attribute which we call segments. Using Events view you can visualise your events over time or get a breakdown of events based on your segments.
Dive into individual application user level data and customer actions
User Profiles lets you track individual level customer information and actions. You can attach properties to your customers to later segment your data based on values of these properties. Detailed profile view lets you see all past sessions of your customers, event timelines in these sessions and funnel completion rates.
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User profiles for mobile analytics

Retention

Countly makes it easy to understand daily, weekly and monthly retention rates of your customers. Intuitive reporting interface shows you new users for the given period and customers who continue to use your application in consecutive periods. Dig deeper into your data by filtering out retention rates by any user property such as platform or location, or behavioural cohorts.

Funnels

Retroactive Countly funnels let you track goal completion rates in your mobile application. You'll be able to visualise how many customers pass through stages of your funnels as well as how many times each step event has been performed. You can slice and dice your funnel data by applying filters based on customer properties or out-of-the-box metrics.

Revenue Analytics

Easily track in app purchases including purchase amount, item and any other breakdown you need. Revenue analytics will show you critical information such as avg. revenue per customer, paying customer rate and revenue over time. Filter all your user profile, session and custom event data based on whether a customer made a purchase before or total purchase amount.
Data segmentation and filtering
Apply advanced queries to filter and segment all your data
Using Countly Drill you can apply advanced segmentation on all your session, custom event, crash or view related data with ease. Combine multiple filters using AND and OR queries, apply BY filters to get a segmented report, change the visualisation type as you see fit.
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Send push notifications with media to all or part of your customers
Send push notifications to your iOS and Android users at the right time, with rich and interactive content such as an image, video and audio. Add custom buttons to your push messages with unique deep-links or URLs. You can schedule a push notification to be sent in the future, send it in user's local timezone and filter the recipients based on their past actions, properties or location.
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Push notifications for iOS and Android
Crash analytics and symbolication for mobile apps
Always be on top of your application crashes and pinpoint problems with ease
Track fatal or non-fatal crashes in your mobile applications, in real-time. See symbolicated stack traces and send custom log information with each crash to make it easier for developers to fix the problem. Countly crash analytics will let you prevent crashes before they start to affect your business.
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