Mobile App Analytics: Everything You Need to Know
Building a mobile app is not enough! Here’s THE most comprehensive guide to Mobile App Analytics online.
This is an expert-written guide where you will learn everything you need to know about mobile app analytics, right from the planning, setting up, implementation, and drawing meaning from the analytics before bringing about rightful changes for the best results.
So, if you are looking for a holistic guidance on setting up and using mobile app analytics the right way, this is just perfect for you!
Let’s get started!
Mobile app analytics – the Basics
App analytics or mobile app analytics play a critical role in our efforts to understand how well your mobile application is working and what are the areas that you can work to improve upon.
Whether you have an iOS app or Android app, there are thousands of data points available that can be examined to determine the areas that need to be changed, areas that need some maintenance or improvement, and what are the areas that are working well.
App analytics can help you answer the following questions:
- How many users, in total, have downloaded the app?
- How many of these users are currently active?
- How do these active users or new ones interact and engage with the app?
- Which features are used the most and which ones are ignored by the users?
- Which channel generates the maximum number of users and the most valuable ones?
- Which part of the app are the users facing friction in? (technical issues/UX glitches)
Why do we need Mobile App Analytics?
Once the app is built and launched in the app stores, the first time app makers or owners expect the app to run smoothly and think that the users are all going to fall in love with it immediately.
This expectation is never met…no exceptions…never!
Employing mobile analytics efficiently gives unique insights without which you and your company would essentially be walking in the dark.
The analytics would tell you the following:
- the way the users are using your app
- the parts of the app that they are interacting the most with
- the actions that they take within the app
These insights or analytics can then be used to devise an action plan for improving the product or the mobile app in this case. This improvement could be anything from adding a feature, improving an existing feature, removing a feature, or change the flow of the app for that matter.
Also, with these analytics right in front of you, a clear picture would emerge, indicating whether or not you are any closer to achieving your goals or the BIG picture. Once you have this clarity, you can then take an informed decision about making required changes in the strategy and in the app to get closer to the goals you set out with.
Setting Up Mobile App Goals
The first thing here is to first have clear goals that you want to achieve with your mobile app. However, I can’t tell you what your goals ought to be! It is you, and only you who can define your mobile app goals and there is no – “one size fits all” answer to this.
As an example, if you have a mobile game, you are bound to focus on expanding the user base and try and boost the in-app purchases. However, when it comes to retail apps an apt goal would be to increase the store traffic and strengthen brand awareness. You get the idea…right?
How do I track mobile app usage?
Here too there is an ambiguity…well not ambiguity…but a non-uniformity of sorts where the term app usage would be defined differently by different businesses. For an ecommerce app, the app usage would be defined by the amount of sale or money spent, whereas for a content or gaming app the app usage may be all about the time that the user is spending within the app.
After you determine the definition of usage or app usage, you must then create reports to track it.
What is mobile attribution?
Mobile attribution is the process of connecting the events with the ads or marketing campaigns that you are running on your app. This way when a user purchases or signs up through the ad or campaign, it receives credit for it.
Once you have this data in front of you, you can compare the campaigns and figure out which ones work the best for you.
Technology Stack for Mobile App Analytics
For mobile analytics to work the right way, it must be supported with a technology stack of tools for providing the latest data.
A typical mobile app analytics tech stack might include the following:
- CRM or sales platform
- Data management platform (DMP)
- Customer support platform
- Content management system (CMS)
- Marketing automation platform
- Advertising platforms
- Testing tool
- Payment system
CRM or Customer Relationship Management or sales platform lets you manage the inquiry across channels without losing track while giving the different departments like sales, marketing, and support teams a single holistic view of the same.
DMP is a technology platform that can be used to collect and manage data, primarily for digital marketing.
A customer support platform helps businesses manage organizations and tracking of customer queries and concerns.
CMSes can be used to capture, research, and analyze information like customer behavior, buying preferences, and demographics.
Marketing automation platforms are designed specifically to automate repetitive tasks in order to increase the effectivity and ease of marketing on multiple channels.
These platforms are spaces where you may run ad campaigns to promote or advertise your product aka your mobile app.
Building a product or an app is not enough. It would have to be tested extensively before it can be launched in the marketplace or an app store.
The whole idea of building a mobile app or any product for that matter is finally to make some money. A payment system would let you make transactions easily
Top mobile app analytics tools
Now that you are aware of the basics of mobile app analytics, it is time you also explored the different tools that you can use to get your mobile app analytics just right!
Available for free, Apple App Analytics is designed specifically for the iOS platform. Apple App Analytics gives you three sets of data – App Store Data, Usage Data, and Sales Data.
Using this platform, you can optimize your marketing campaigns while focusing on the apps that drive the maximum App Store impressions, downloads, and billings.
The platform tracks the basic metrics for user engagement and marketing for iOS, tvOS, and macOS apps. Also, it provides data on user acquisition from the App Store and a crash analytics tool that filters crashes by iOS and app versions.
- User Engagement Metrics
- App Store acquisition data
- Crash analytics
The tool serves both, app developers and marketers for mobile app tracking and attribution analytics. Their client kitty includes some huge names including the international cosmetics and beauty brand L’Oréal and the Wall Street Journal.
Partnering with Google and Twitter, the platform has placed itself as a one-stop-shop for marketing analytics equipped with an active fraud solution. It serves multiple platforms including iOS, Android, Windows & Xbox, Amazon, tvOS, Unity, Cordova, Marmalade, Cocos2ds, Adobe Air, and React Native.
- Universal uninstall tracking for both, Android and iOS
- Active Fraud Solution
- An official partner of Facebook, Twitter, Google, and Pinterest
- Rich in-app events
- Facebook and Google Cost and ROI data compiled in one unified dashboard
- Multi-touch attribution
A pioneer among repositories of news and statistics of the mobile world, App Annie is an app analytics and market data platform to help the developers build a better app business. The magnitude of the tool is indicated by the fact that Apple Inc. quotes them quite frequently during WWDC!
The tool supports platforms like iOS, Android, TvOS, macOS, Windows, and Amazon.
- App store chart statistics
- Compare ranks in countries & categories
- Advertising analytics
- App performance intelligence
- Download and revenue estimates
- App ranking and top apps
- Event tracking: track price changes, app updates & more
- Industry trend predictions
- Global reports for individual countries
Tune is an analytics platform focused on marketing but also includes app-store analytics in their console and comes with a free trial period. Additionally, Tune also offers supply-side tools for ad networks, real-time tracking, and 3rd party ad management, however you cannot collect data from Facebook here.
- Integrates with Multiple Ad Networks
- Real-time Tracking and Reporting
- Tracks performance of third-party ads
Built on Google infrastructure, this one is less a tool, and more like a suite of products which can either be used individually or in combination for pacing up or enhancing the process of app development, user experience, and the overall growth. Their iOS app analytics can track users right from the acquisition phase and in-app usage across platforms.
Using machine learning, Firebase offers smart user segmentation and predictive analytics. Additionally, it can also be used in combination with Crashlytics to monitor performance issues.
- Predictive analytics
- Crash reporting with Crashlytics
- Cross-platform user tracking
- Integration with Google’s suite of mobile tools
This one’s a unique tool as it can help you answer all the user behavior related questions you may have before increasing the conversion rates upon analysis of each user interaction. One of the strongest features of this tool is the action cohort tool that can help you understand how users are interacting with the app and what is it that brings them back.
Amplitude is especially great because it can identify different personas that are likely to convert or become loyal users.
The tool also sends smart alerts using machine learning and helps the app teams get ahead of any fluctuations in conversion and retention.
- Behavioral Cohorting
- Machine learning based smart alerts
- Single-user analysis
For developers Keen IO – a cloud-based analytics database, is a great alternative to an in-house analytics database. Keen streams real time data on any user interaction in real time and then stores it in a database that is optimized for storing event data.
Once the data is collected, Keen’s APIs can be used to run analysis. Mobile app professionals can use the tool with simple queries to get a view of custom dashboards with funnels, segmentation, cohort analysis, and more.
- Batch upload historical data
- Custom event tracking with rich attributes
- Customizable dashboards
The biggest and the best name in the industry for crash solutions – Crashlytics is available for free and works perfectly for both, iOS & Android. The people at Crashlytics actually take pride in their ability of coming up with highly detailed crash reports that take into consideration a number of factors including the type of device, battery status, charge in progress, proximity sensor, Wi-Fi connection, and the physical orientation of the device itself. Holistically speaking, Crashlytics is one of the rarest of tools that has the ability to examine your crashes before generating reports that highlight any vital issues and trends. What really makes Crashlytics unique is that the tool would send you an alert or a friendly nudge if any crash goes unresolved for a certain (read long) time period.
- Comprehensive crash reports
- Real-time processing and alerts
- Smart charts on crash trends and insights
Another strong tool for getting precise information on app crashes right from the manufacturer to the type of connection, to the version of the app – AppLink.io is quite a smart option for app owners or developers. Once you are aware of these distinctions, you get the ability to drive deeper into key metrics including the number of users who have been impacted and the rate of crashes. This unique tool is compatible with iOS and Android apps with a really easy to use dashboard that helps you understand how your app is performing across parameters.
- Crash reporting
- Conversion tracking
- Event reporting
This one is a full-fledged app analytics company that offers their clients or the app developers with an entire selection of tools needed for app store analytics and intelligence. The platform lets you set up and measure a bunch of benchmarks including DAU, MAU, ARPDAU, retention rates, downloads, store revenue, tool chart ranks, and keyword ranks.
- Analyze 2 years historical app data
- Compare & benchmark app performance
- Weekly competitor performance digest
A qualitative analytics solution for websites and mobile apps, Smartlook is a robust platform that helps businesses of all sizes and industries answer the “whys” behind their users’ actions, eliminate the guesswork and discover real, actionable reasons. With a unique feature set, Smartlook finally gives you a way to understand user behavior at the micro level. With the help of always-on visitor recordings and heatmaps, Smartlook helps you get a holistic view of your website through your visitor’s eyes. A quite effective and unique tools for product managers, UX/UI designers, developers, and mobile marketers, Smartlook proves to be beneficial in increasing revenue by decreasing churn and improving customer experience.
- Always-on visitor recordings
- Automatic event tracking
- Conversion funnels
Kumulos is a mobile app performance management platform with a wide services portfolio featuring Push Notifications, Crash Reporting & Analytics, Reporting & Analytics, MBaas, among others. The platform has three solutions to offer to the app developers or brands who sign up with them – Unified Mobile App Performance Management, Mobile Marketing Automation Platform, Mobile App Business Grow tool.
- Push notifications
- Cohort analysis
- Funnel analysis
- In-app events tracking
- Retention tracking
- Performance management
- Performance reports
- Reporting & statistics
- Summary reports
- Visual analytics
- Real time analytics
- Campaign management
- Delivery tracking
- Campaign analysis
- Click-through tracking
- Bug tracking
- Channels performance
- Diagnostic tools
- Trend analysis
- Engagement analytics
You didn’t think we could have a list and not include Google Analytics for mobile apps in it! The internet and technology giant, Google Analytics offers some really insightful in-app analytics not just for its own platform, but for iOS platform as well and is just as popular there too! Apart from the two big platforms, GA also offers solutions for other platforms.
- Campaign Measurement
- Goal Tracking
- Audience Report
- Traffic Report
- Conversion Tracking
- Keyword Referrals
- Third Party Referrals
- Custom Dashboards
This one is not just another app analytics platform! It focuses on improving the ROI of app developers through proactive handling of collected app data and coming up with valuable suggestions for improving the performance of an app. Aiden.ai is known for offering actionable insights that point to those specific ad campaigns that require the app developer’s immediate attention while letting them optimize their apps with One-Click only enabling them to react quickly and efficiently.
- Actionable Recommendations
- Unified Campaign Management
- Smart Assistance based on custom needs
A brilliant app analytics tool, AppOnBoard offers to the Android app developers a platform to run an app demo before it is released on the Google Play Store. The platform is unique in its ability to allow their clients to take advantage of the Google Play Instant experience through their iconic Try Now feature.
- One Click Contacting
- Search Feature
A one of its kind reporting and analytics platform, Appsumer is perfect for user acquisition teams for scaling apps. The platform has a unique ability for transforming all the fragmented data related to media cost and attribution into granular and perfectly unified ROI insights. Once you have this, you can then make faster, better informed, and more confident UA decisions.
- Performance Management
- Automated ROI Reporting
- Campaign Management (Soon to be Launched)
- Custom Data
- User Acquisition Data
Localytics is a unique combination of marketing automation platform and mobile analytics which can together increase engagement and help you make well-informed decisions for improving features. The tool or platform analyzes complete user journeys and even lets you track the app uninstalls. The dashboards of the platform can be customized in a way that everyone on the mobile app team gets at-a-glance insights and detailed overviews of only that data which is most relevant to them, instead of a one size fits all view. The industry benchmarking feature on the platform lets you compare your mobile app to competitors or any other brands in the industry.
- Predictive analytics
- Uninstall tracking
- Industry benchmarks
Apsalar identifies itself as an enterprise mobile app analytics company and has an analytics platform on offer that has Marketing Attribution, Remarketing Audience, and CRM & Prospecting audience tools. The tool only works for iOS and Android, but has some really unique features like LTV measuring, marketing automation, and even cross-app funnel analysis.
- Audience segmentation
Countly has a customizable dashboard that uses plugins chosen by the users for tracking user behavior analytics, crashes, retention, and even revenue. On the platform through funnels, user flows, and cohort analytics you can see how users navigate through your app, and which are the points where they drop off. The Drill tool on the platform helps you answer critical questions by digging deep into the data with a built in query builder which is user-friendly and has no need for a complex SQL. Also, you can follow the navigation paths of specific users within the app.
- Funnels, cohorts, and user flows
- Easy to use query builder
- Crash analytics
With Mixpanel you can take well-informed decisions on data as you receive automatic insights powered by machine learning. The platform has some really unique tools like user flows and conversion funnels which can help you understand the user behavior and increase engagement, retention, and loyalty. The Predict feature on the platform offers you predictions on user behavior and conversions in the future. Mixpanel goes well beyond just analytics and comes equipped with some really effective tools for re-engagement through email, push notifications, and in-app messaging, and for running A/B tests within the platform.
- Automatic Insights
- Predictive Analytics
- Conversion funnels
This one, as the name suggests is a game-focused analytics tool which is available for free. The platform lets you track different metrics like game progression and level advancement, and also a customizable GUI.
- Customizable dashboards
- Comparative benchmarking
It is a great analytics platform that comes with customizable metrics and events for tracking. It also offers consultation and ad optimization services. The dashboards are customizable and so are the KPIs. You can conduct A/B testing with this platform and has marketing automation capabilities.
- Real-time application monitoring
- Viral channel tracking
- Optimized for social metrics
- Custom-event tagging and tracking
- Drag-and-drop funnel builder
- Deep user acquisition analysis
This is a great platform if you are looking for a tool that lets you track user behavior and purchases, carry out A/B testing, send out push notifications, and launch in-app marketing campaigns.
- Analytics & Reporting
- Customer Data & Segmentation
- Triggering & Delivery
They not just boast, but guarantee a 99.98% uptime to their platform without having to implement an SDK. Kochava lays a strong emphasis on user data privacy and related issues. The platform offers a balanced combination of analytics and attribution features supplemented by iBeacons support, a server-to-server API and IdentyLink technology. Their name is remembered for the efforts of their ad fraud prevention team which, in 2018 brought to light a global ad fraud scam.
- Real time analytics
- Mobile attribution
- Mobile app analytics
- Market analysis and segmentation
- Campaign planning & analysis
- ROI analytics
- Data filtering
- Conversion tracking
- Behavior tracking
- Fraud detection
- Engagement analytics
- Cohort analysis
- Funnel analysis
- In-app events tracking
- Retention tracking
- Revenue tracking
- Uninstall tracking
This unique tool AppDynamics focuses specifically on enterprise growth and on app stats analysis. The tool’s USP lies in its six “intelligent engines” to track metrics beyond the ordinary. Targeted to cater to the larger apps and companies, AppDynamics is in fact quite easy to deploy and is a self-configuring platform that offers app behavioral learning.
- End User Monitoring
- Real-Time Business Transaction Monitoring
- Detect Business Impact and Performance Spikes
- Troubleshoot performance and availability issues
- 24/7 monitoring of what matters the most i.e. your key business transaction
A code free app analytics platform, HeapAnalytics offers both, real-time and historical data. apart from that, the platform also includes pretty strong automation features to track and chart metrics. If you feel that the non-native Android support doesn’t meet your expectations, their enterprise plan includes direct data export if you want to pair the stats up with any other tool you have been using.
- Data capture
- Custom event tracking
- Real-time insights
- Direct data access
- Conversion funnel creation
- Retention reporting
- User-level activity streams
- Segment analysis
- Trend tracking
- Time-based cohort analysis
MoEngage is an effective user analytics and engagement platform for mobile apps. The platform focuses primarily on geo-targeted push notifications and in-app messages. With MoEngage you can track uninstalls for iOS. The platform is unique in its ability to integrate with MobileAppTracking, Appsflyer, and Apsalar for users’ convenience.
- Acquisition analytics
- Analytics/ROI tracking
- Behavioral triggers
- Channel attribution
- Cohort analysis
- Cross channel retargeting
- Customer journey mapping
- Funnel analysis
- In-App events tracking
- Lifecycle email campaigns
- Multivariate testing
- Retention tracking
- Uninstall tracking
- User event tracking
This one is a nice combination of mobile A/B testing, push notification, and app analytics platform that comes with a free demo period. BigQuery feature on the platform provides you access to all kinds of raw data including that from experiments, events, or push notifications for setting up custom metrics. The platform integrates smoothly with other tools on the list like Mixpanel and Google Analytics. What sets this app analytics platform apart is that it is written for TV based operating systems?
- A/B Testing
- Data Storage & Analytics
- Launch Targeted Experiments
- Goal Tracking & Reporting
A unique and popular mobile engagement platform that comes with app analytics, mobile marketing automation tools, solutions for mobile user retention, personalization and more. There are multiple channels on the platform that can help the app marketers reach out to their customers like push notifications, emails, in-app messaging, and web push notifications.
- A/B Testing
- Funnel Analysis
- Uninstall Tracking
- Analytics & ROI Tracking
Singular is a combination of end-to-end marketing and analytics platform that is designed to maximize the ROI with, as it claims ‘1600+ preconfigured marketing solutions.’ These preconfigured solutions are essentially combinations and algorithms using different data silos to gain valuable insights.
- Campaign Analytics
- Uninstall Tracking
- Custom Analytics
- Audience Management
This is a tool that combines attribution and analytics in one software package. Using this tool, the app marketers can look into the store statistics, advertising sources, and advanced analytics before they exploit the full potential of mobile app. They have quite an esteemed clientele including Yelp, Zynga, Spotify, Soundcloud, Runtastic, Hotel Tonight among others.
- In-app User Behavior Tracking
- In-App Analytics
- Customizable Event Tracking
- Mobile focused KPIs & Cohort Analysis
- Data Exports & Reporting
Though the brand Apptentive is more closely associated with brand building and offering a strong user experience, but it would be wise to note that it holds expertise in the realm of data as well.
- App Performance Tracking
- Insights from Machine Learning
This is a software package combining mobile app marketing automation and analytics. Braze focuses primarily on campaign management and business promotion.
- App Analytics
- User Segmentation
- Multi-Channel Messaging
Important Mobile App Analytics Metrics to Measure
- User Acquisition Metrics
- App Downloads
- New Downloads
- Download Attribution
- Cost Per Install
- Web Visitors to Mobile Users – Remind your website visitors that they can use your app or that you have an app by flashing a “Download the App” button.
- Referral Program – Even as you are making changes to your app with the intent to make your app better, you must make sure that the word about your app and your product spreads everywhere on the digital realm.
- Effective App Store Optimization – When you feature higher on app store searches you stand a better chance of getting featured while enjoying a higher visibility on the app stores, thus enjoying a better download rate.
- User Activation Metrics
Misspelt Words – with data vulnerability and malware attacks doing the rounds, it is only natural that the app users would see a red flag when they see a spelling error.
Mismatched Icons – if your food delivery app icon looks like a taxi, the app users are only going to be confused and lost
Compulsory & Lengthy Registration – let the users have some fun exploring the app before creating an account.
- Activation Rate
- Download to Launch Rate
- Install to Registration Rate
- Average Cost Per Registration
Onboarding – let them know what your app can do for them and what are the key benefits you can get from your app through well worded emails or a strategically sent push notifications campaign
Incentivize – give your app users a little something in exchange of signing on to your app. This raises a curiosity and who doesn’t love an incentive just to sign into an app.
In-App Exclusives – plan a little something exclusively for the app users. It could be an early access, special content, or some coupons that can only be redeemed through in-app payments.
User Retention Metrics
User Lifetime Value
N Day Retention – Percentage of users that launch your app on a specific day
Customer Lifetime Value (LTV) – (Revenue generated from Customer X annually) x (Average years customers are retained) – (Initial Cost of Customer Acquisition)
Net Promoter Score – [(Number of Promoters) – (Number of Detractors)/(Number of Respondents) x 100]
Ask for In-App Feedback – User feedback plays a super important role in the smooth integration of mobile apps in the functioning of a company.
Offer Loyalty Perks – Give your app users a reason (or 5) to keep coming back to your app.
Keep Adding Something New– Why would users keep coming back to your app if you have nothing new to offer!
User Engagement Metrics
- Daily/Monthly sessions per DAU
- Session Length
A Friendly Push – Push Notifications are proven to bring about a massive change in the way a business may connect with the customers.
Retrace Steps – Retracing your steps can be a great way to examine the cohorts that have an alarmingly low retention rates.
User Conversion Metrics
- New User Conversion Rate
- Returning User Conversion Rate
- Cost Per Conversion
What would they do? – An effective way to get ahead is to try and think like your user. For this, you need to deeply dig into the user persona and to use your app the way they would.
Unexpected Drop Off Alert – It is common for app users to drop out of the checkout process right when they are asked for their payment information or credit card details.
User Churn Metrics
- Battery Drain
Retarget – The users who have churned out need not be lost forever. Create some interesting retargeting campaigns on social media, emails or anything else that works.
Conduct Surveys – It is natural to think that the app you built is perfect, hence you might develop some blind spots.
Offer Discounts – As per a recent report from Google, 30% of the surveyed audience confessed that they would go back to using an app if they were offered a discount that interested them.
App Performance Analytics
App Ratings and Review Analytics
In-App Revenue Metrics
User In-App Behavior
Time on App
Even if your only goal is to just survive, you would still need to keep getting new customers and adding on to your customer base. And, if you are like everyone else I know, and want to grow with your app, then you must proactively strategize to expand your customer base.
While you are planning to acquire more users, the most important thing to know is the current source of users for your app.
This would require you track downloads and then attribute them to corresponding channels or sources.
For example, let us assume that on investing $1000 on Google AdWords you are getting 25 downloads in 3 weeks. However, you discover that when you invest the same $1000 on Google Play Store you are getting 10 times that number in only 3 days.
So, if you are keeping a track of the daily download numbers and the attribution, you would know where to divert your marketing budgets to and reach the massive download goals you might have set for your app.
Of course, there was a time when it was the number of downloads that would decide the fate of the app.
Today the scenario is a lot different as several other parameters have emerged that are stronger indicators of the health or performance of an app. The quality of each download has gained a lot more importance today, in terms of what it brings to the company particularly.
If you were to have a pay-per-download mobile app, then the more downloads you get the more revenue you get. This does not mean that you should disregard all the free apps that are out there in the market. In fact, it is important that you conduct a competitive analysis to understand if you are really profiting from asking for that download money.
The basic idea here is to be a little more strategic while pushing for more downloads, keep an eye on whether the users are actually opening your app after having downloaded it.
These are great indicators about the popularity of your app among the app users.
Vital User Acquisition Metrics
Strategies (User Acquisition)
You can also incentivize the first in-app purchase in form of points or app-only discounts.
For this to happen, you must in some way or the other urge the users to refer your app to their friends and family and one of the most effective ways to do this is through email or social media.
Tracking the impact of the in-app referrals is super important that can only be done when you integrate a referral code to the message.
A high number of referral codes being redeemed indicates that the users have great confidence in your app.
This parameter by itself can form the foundation for you and give you many more such metrics which can help you further analyze the performance of your app.
An incentive that works pretty well is a certain discount in exchange for your referral code being redeemed and to the first-time users.
Multiple studies conducted by reputed research organizations have indicated that consumers tend to place a lot more trust in their friends as opposed to even the biggest of brands.
So, your current users are a great channel for you to acquire new users. Incentivize current users to recommend your app and see your user base expand exponentially while strengthening your social proof.
Two shining examples of referral campaigns that worked beautifully are Uber and Dropbox.
This section can be a blog post by itself, in fact sometime ago, we did write a pretty detailed piece on app store optimization.
Some of the points that can be kept in mind include – adding the search keywords to main title, showcasing the main features and USPs in the app description, adding attractive screenshots of the UI and mentioning the version and date of the last update.
A user activation rate of 85% or above says that you are in a good shape, but anything lower than that indicates a need for a deeper dig and analysis to identify and fix activation issues.
Things you should avoid like the plague!
The authenticity of your app comes into question when you have spelling or grammatical errors.
If you simply can’t avoid it, let it be a pretty basic registration process with maximum 3 fields to fill without asking for too much of a commitment.
Activation Rate = Number of Activation/Number of Downloads x 100
This means if your app was downloaded 200 times and enjoyed 120 activations, your activation rate would be 60% which is pretty decent but can definitely be worked upon.
Vital User Activation Metrics
Strategies (User Activation)
If you manage to improve your retention rates just by 5%, your profitability can go up by 25%!
How about that for statistics!
Keeping the users engaged is instrumental to your retention efforts – but yet again a tough feat to accomplish. With rapidly reducing attention spans and ample amount of choices for the app users.
On an average an app loses more than 77% of its daily active users in 3 days since its install.
What is it, then that you can do to keep the users coming back to your app! Tracking retention cohorts and getting actionable user data is an effective way to do it.
What I mean here is that you would be breaking the entire user data into cohorts and track their behavior over a period of time instead of simply dumping everything into one big pot.
Doing this would get you valuable insights in the onboarding flows, user experience, and product/market fit.
User Lifetime Value or LTV is the money earned from having lifetime users on the app. This evaluation is done in different phases or timelines like daily/weekly/monthly/yearly etc.
Having access to these metrics can help a company look into and analyze any potential revenue sources.
To get these numbers, you would have to look at the user engagement rate, monetization, virality, number of shares and other such numbers. If you are surprised to see ‘virality’ here, let me tell you that it is not just for the YouTube videos to go viral today!
It helps you, as an app owner when your product and all the news about it is spread far and wide.
The simplest way to get this done is by motivating and encouraging your app users to share the app and your product with their friends through multiple channels including social media.
This, of course will only happen if your initial or first-time users enjoy your app and are amused by it, enough to go ahead and share it through their network.
User Lifetime Value or Customer Lifetime Value is essentially the net monetary value associated with the customer till date.
Once you have this number, you can create tiered loyalty programs which would help you retain the customers who bring you the most value.
The app would only stay profitable when the LTV exceeds the Cost Per Acquisition or CPA.
This is by far the most basic and critical metrics in the world of app analytics. The retention rate for an app is basically the percentage of users who come back to your app after the first time they use it.
The higher the number of times the app users are coming back to your app, better is the performance for your app and the better your app performs more would be the number of times your users would come back to you.
Let’s take a closer look at how this works.
The first-time user on your app is simply curious to find out how your app works. If they are hooked in this first go, they’re going to come back, if not they’re never coming back!
Hence, you must strive hard and keep an eye on these numbers with the aim of converting more first-time visitors into loyal, lifetime users.
Additionally, it is of critical importance to keep an eye on the number of app uninstalls and make sure that you are enhancing your app performance in a way that would control this number.
As an app owner or developer, when you have these metrics ahead of you, you get an opportunity to make some changes to the app interface, usability, and functions of the application thus enhancing the overall app performance.
Vital User Retention Metrics
Strategies (User Retention)
This is why an in-app feedback is important when it comes to evaluating the performance of an app.
The time investment needed from the users’ end is minimal here as it only takes a few minutes to offer valuable in-app feedback. Getting this feedback can help you identify specific issues which need to be worked on.
There would of course be some users who are not going to like giving you an in-app feedback.
Hence, it is important that you come up with creative ways to incorporate it into the app. Attaching some branded merchandise or rewards in exchange for their feedback works quite effectively.
Just because you are offering rewards to your customers, it does not really mean that you are bribing them for an appreciative or positive feedback.
You must proactively encourage them to leave an honest feedback which would bring great value along.
This may be in the form of reward points, special (app-only) discounts, and exclusive access to content.
This is an encouragement to the app users, and you are definitely going to see the number of your loyal app users increase by quite a margin.
It is only natural for the app users to get bored and stop seeing any value in the app if there is no change in your app.
Keep adding features, keep tweaking the UI, make the UX better, and better yet keep adding and updating the content on your app. Trust me I have seen it work wonders myself.
It has been established through multiple studies that there is a strong link between user engagement and growth in revenue.
What I mean to say here is that the more engaged users you have, more would be the amount of revenue you receive!
It is unfortunate, however, to know that about 50% of the apps that are downloaded are used only 10 times before being abandoned.
Now, different apps need the user to engage with the app at different frequencies.
However, there are user engagement metrics like Daily Active Users (DAU), Weekly Active Users (WAU), or Monthly Active Users (MAU)
These metrics can be then used to calculate the stickiness of your app with the formula laid out below:
App Stickiness = Daily Active Users (DAU)/ Monthly Active Users (MAU)
Vital User Engagement Metrics
Strategies (User Engagement)
You can use them in pretty neat ways to achieve the goals you want to achieve.
One of the critical goals that push notifications can help you with, includes recovering abandoned shopping carts.
If you retrace the data, you can find out the exact point where you are losing the app users and what was it that helped you win them over initially.
Sometimes all it takes is a lucrative discount coupon, a new feature, or a bug fix to get you sailing on the right path.
It is important to study your data with the appropriate tools so that you know where exactly the app users are engaging the most with your app, and exactly where you are losing them.
It is all about conversions finally. This is the only metric that truly matters to any app owner. The conversion rate is calculated using the formula below:
Conversion Rate = No. of app users who took an action/No. of app users who could’ve taken the action
This means if you sent a push notification with a discount coupon code to 1,000 app users and 50 of these people used the coupon code, your conversion rate would be 5%.
When you track the conversion rates, you would have a clearer idea about the exact strategies or messages that are helping you boost up your sales numbers.
After establishing a decent base line, you can then conduct A/B tests and come up with messaging that works for your app users specifically.
Vital User Conversion Metrics
Strategies (User Conversion)
Here, you would need to take a beat and figure out which conversion types carry the most importance in context of your app and for your business.
Is it the number or amount of in-app purchases, or the number of subscriptions or is it the number of ad impressions?
Have this clarity before you set out to strategize on increasing your conversion rate.
Launch your app and become the first-time user. What is annoying about the app? What is it that is slowing you down? How can you make the progress through the funnel smoother than now?
Remove any unnecessary buttons or links, make the registration process simple, and streamline your UI.
However, if there is an unexpected dropout at a mundane or uneventful stop in the user journey, consider it a red flag.
This is the time to spring into action and figure out if there is a UI issue or some kind of a bug that is creating an unintended roadblock for the app users, discouraging them from moving on ahead.
Even the apps that are at the top of the charts and bringing in all kinds of massive revenues for the app owners do not have a 100% retention rate.
It is a fact that for most of the apps, 80% of the new users are lost within the first 90 days.
It is imperative for every app owner to keep a track of all the uninstalls.
Churn Rate = [No. of App Users at the beginning of time period – No. of App Users at the end of the time period]/No. of App Users at the beginning of time period
As a thumb rule, if you compare the number of daily uninstalls with the number of daily downloads and the number of daily activations, you’d get your net mobile app growth.
This means if 15 users are uninstalling your app on a daily basis, and you are getting 45 new activations daily, you are still getting an increase of 30 users per day!
That’s great! If, however these numbers were to be reversed, you are in trouble.
Critical Performance Issues that Cause Churn
It is interesting to note that mobile app users put quality and start ratings ahead of the price of the mobile app.
Vital User Churn Metrics
Strategies (User Re-engagement)
With the help of discounts or feature updates, a well-planned retargeting campaign can help you bring them back to your app.
Users are going to leave the app if there are performance issues in the app or fails to meet their expectations.
Also, about 25% of the app users said they would go back to the app if they were offered some exclusive or bonus content.
A few more Mobile App Analytics Metrics
You probably made the mobile app with the intent of making some money whether directly or indirectly.
However, when we are setting goals for app analytics, they are not just about the money making but about the overall success of the app and boosting up the performance of the app.
This is almost a no-brainer.
I say almost for a good reason because I have come across quite a few app owners who fail to monitor the performance of the app once they have launched it in the app store.
The job of an app owner is far from over after the app is developed, tested, and launched.
The real test begins after the launch and it is important to monitor the performance of your app and the product in the real world.
Since you have decided to invest some time and money in app analytics, it is important that you pay enough attention to what the users are saying about your app.
The best way to do this is by taking a look at the app ratings and reviews. Most of the users tend to go through the review section before they decide to download your app.
As a rule, it is important that you encourage your app users to leave a review after exploring the app, but that’s not all that you need to do.
You must be efficient in responding to the reviews you receive as well. If the reviews are critical, then you must address the concern and respond accordingly and if the review is appreciative thank them for it.
The focus of this metrics is primarily on the revenue or income generated by the app. To begin understanding this, it is important that I tell you here about Average Order Value per app user and Average Order Value per paying app user or customer.
Your app, like everyone else’s, has two kinds of users. The kind who visit or explore your app for free and the second kind who are paying to use your app.
It is important to keep an eye on these numbers and make sure that the majority of the app users are converted to pay for your app.
Now, let me warn you, this is a lot easier said than done! You would have to strategically work out a plan that would convince and encourage your app users to pay to use your app.
The freemium model or the free trial model seems to work pretty well for audio/video streaming apps or gaming apps.
Figure out what works the best for your business model and the products or services you are offering and implement your own strategy.
There are a number of things that make up this section. Let’s get to it directly.
There would always be a certain diversity among the kind of users who would be using your app.
The users would be from different age groups, a variety of income groups, have different interests, and be from different genders.
This is why personalization within the app is of great importance. Monitoring these features and making logical decisions would attract a greater audience to the app.
When you know the time spent by the users within the app, you get an idea about the performance of the app.
If the time spent on the app is on the higher side, it indicates that the app is performing well and that it is being preferred by the app users.
On the flip side, users may be spending more time on your app because the app takes forever to load and that is definitely not a good sign.
So, in addition to looking at the time spent on the app, it is important that you take a look at what the app users are doing while they are spending all that time on the app.
This is the time period between the moment when a user opens the app and when they leave it.
App analytics, when implemented the right way would let you track the number and increase in user sessions.
If the flow of this frequency is low, it is a sign that either the app content or its architecture has some snag or flaw in it.
How to select an app analytics platform?
- Which Metrics are Important for your App?
- Should You Super Specialize or Keep it Neutral?
- Does It Suit Your Budget?
- What Are The Key Features Your App Needs?
- What Kind of Support Are You Looking For?
- What Size of SDK or Implementation Difficulty Are You Comfortable With?
- Are You Considering A Cross-Device, Cross-Platform Approach?
- Are You Taking Interface into Account?
Data is the lifeblood of any analytics and we can’t stress enough on its importance in the future success of the app. As you go about looking into different kinds of metrics, pay attention to “what”, “how” and “how long” of it all.
The sheer diversity in the data and metrics themselves can be a little too much to begin with. There’s data that would let you track things like user location, engagement, or the type of device being used by the user.
Also, not all tools will give you everything, there would be some that would only offer you big data stats, while others would also include user level data letting you segment specific users.
Some of the tools will only give you the deviation but not the cause for it, but some others might help you get to the root of it.
Now, the thing is that not everyone needs everything. Just like every app is different from the other, the data that they need for success would also be different.
For example, if your app is only going to be used by some people or specific teams within your organization, it is the performance of the app that is more important as compared to the user experience it has to offer.
Or, let’s say your app is unique in all aspects and nothing like it has ever been built, the standard data sets or analytics won’t be able to do much for you. In this situation it is a good idea to go for customizable metrics.
This is one of the more ethical dilemmas than anything else. There are some analytics tools or companies who are known for their transparency and neutrality while still others hold expertise in things like generating more traffic.
Now, generally it is a good idea to stick to those companies that focus only on tracking and optimizing, but even here, there are certain exceptions to consider.
It is natural and of course smart to want to know where you are headed. Make sure that you dig deep in trying to understand the business model and uncover any hidden agenda that may lie under the covers. Now, it is natural to get into some kind of ‘monkey business’ sometimes, but in that scenario, it’s better to at least be aware what kind of monkey business it is!
Don’t even consider working with a company that has ever been compromised in the past.
Most of the companies offer tiered pricing plans, where each successive tier would offer an increasing number of metrics, data sets, or even features.
Your app may only be generating limited data or may only need a few basic metrics, and in that scenario, you may not go for top tier, full feature data sets.
Of course, there are some platforms that are free with no strings attached, but there are some which only offer the most basic of features and data sets in their free plan.
It all boils down to the budget you have set aside for this and the exact data requirements of the app you are setting up for analytics.
There are some tools or companies that offer certain ‘key’ features along with the basics, like let’s say A/B testing, focus on specific metrics, or push notifications.
Some basic features are offered universally by most of the platforms, but these key features may come with specific few only.
Before signing up with any analytics company it is important that you find out the USP of the company and then weigh out whether it holds any value for your app.
To get the right kind of analytics it is not enough to get the data points for once and be done with it.
It is important that you figure out how much documentation are they offering you. Are they in a position to offer you 24/7 assistance or dedicated account managers to help you out in case anything goes severely wrong?
In case you are having a tough time deciding between two tools that are near equal, this is a factor that can tip the scales and help you take the decision.
Some of the most popular platforms are known for their easy implementation processes and sometimes you only have to do as little as writing only a single line of code.
However, some SDKs or implementations may give you grief and can be a lot more complicated. Not just that, it can even slow the app down, thus affecting the performance of your app. To prevent this from happening, make sure that the analytics tool you are opting for is compatible with your app and is easy to implement.
If you’re not, it is imperative that you do. Whether it is acquisition analytics or performance analytics that you are thinking about, you should not limit yourself to just but one buy in.
Campaigns can be run everywhere in the internet ecosystem. It only makes sense that you get a tracking tool that is as versatile as your campaign, with the ability to track and analyze data across a vast range of sources, devices, and operating systems.
The reason why this is important is because while running any major media campaigns you would not only be measuring CPIs, but other metrics too like ROI, ULV, and retention and more.
Tracking user level analytics or tracking the same user across different devices and tracking LTV, can further help you understand patterns in certain devices, correlations between devices or OS and conversions and many such more helpful insights.
The analytics platform that you intend to use would of course have a dashboard which would be the central point of focus for most activities. It is imperative that this dashboard is really user-friendly.
You don’t want to get a tool that would involve too many steps and efforts in scraping the data out, have stability issues, or are too complicated to use.
A well-designed dashboard from a respectable tool would offer you all the critical data front and center in an organized and easy to access format through a user interface that puts the users first as a consideration.
I know what you are thinking! How do we know this without the actual onboarding begins? Just ask! Go to the social media, find communities for the tool, find out what their experiences are like.
This way, though you may not know how it actually feels to use the tool before getting onboard, but at least you would have a fair understanding of how tough or how easy it is to use a certain tool.
How to implement mobile analytics?
Different app analytics platforms have different features and functionality. There are quite a few free applications available, but they come with technical limitations and may even have some trouble tracking the users who alternate between different devices and platforms or from mobile websites to apps.
As a rule, a mobile analytics platform worth anything should offer the following:
- Easy integration
- A unified or holistic view of the customer
- User engagement metrics
- User segmentation
- Customizable dashboards
- A/B tests
- Push notifications
- Real-time analytics
- Unique and valuable metrics
The actual process of implementation or installation of mobile analytics entails adding a tracking code to the sites and SDKs to the mobile app that you want to track or analyze.
Once installed properly, most of the mobile analytics platforms will automatically track website visits. The platforms that have codeless mobile features can track the basic app features like crashes, errors, and clicks, but you would eventually need to expand it by manually tagging additional actions for tracking.
Types of app analytics
It might be a little tough to actually define analytics into different types but what I have tried to do just that here. These are the 5 broadest, most popular types of app analytics.
- A/B testing
Just because you have built an app, it doesn’t mean that people would come rushing to your app and start using it. There is a very strong competition in the modern mobile world.
As users do start coming in, however, you would have to start tracking all the users’ marketing touchpoints. This is where the attribution analytics come in.
Essentially attribution involves measuring the user events that are a result of a marketing initiative. Now, the user event can be anything from an app install to a repeat app launch, or an in-app purchase etc.
It is important to bear in mind that mobile attribution is a whole lot more challenging than desktop attribution because of the nuances involved in the mobile space and slight differences in attribution between iOS and Android.
Attribution analytics help you understand the value of each of the different channel or touchpoint that a user confronts during the download or any other event process. It can also help you attribute installs precisely based on a variety of data. Also, they can help you to manage your marketing channels in a better way, discovering patterns and trends in the ways users engage with your mobile brand and optimize the ROI and LTV in a more effective manner.
Attribution app analytics can be used for:
- Device Fingerprinting
- Unique Identifier Matching
- TV Attribution
- Fraud Prevention
Once the users have started coming on to your app in big numbers, how do you think you are going to monitor the overall state of your app?
Quantitative app analytics are the traditional way to measure. Here the focus lies on core in-app metrics that can only be presented trough numeric data.
The experts in the field use quantitative analytics to get clear, aggregate insights on specific user actions, usage trends, retention, and conversion rates. Quantitative app analytics forms the foundation of the field and can be found right at the time of inception of the concept.
However, just because it has been around the longest, it doesn’t mean that this type analytics is dated. They, in fact, have the ability to offer extremely granular, critical metrics on your app. with time, though the essence of quantitative app analytics has stayed the same, but the advancement in technologies has given it a clear edge.
Quantitative app analytics may be used to track:
- Retention and Engagement
- User Trends & Patterns
The name says it all – qualitative app analytics. It focuses primarily on the one particularly important element of your mobile app that can’t be described in numbers. The element that I am talking about is the User Experience. This is unique to every user.
Using qualitative app analytics, you can zero in on different experiences like let’s say user frustration with an unresponsive link or user confusion in a certain specific menu.
If you really want to understand and analyze each of the user story, you would have to get your hands on data that can help you see exactly what your users are experiencing and what are their behavior patterns when they are in your app. This is where qualitative app analytics come in.
At the core of qualitative app analytics are endless user session recordings which let you watch the way users are navigating through your app. These recordings can help you see the exact points where the users are facing any sort of friction, or the places that are bug infested, or if there is any point that scares the users into abandoning the app.
Touch heatmaps are yet another great feature in qualitative app analytics. They give you aggregate or a big picture of all that’s going on in your app in context of the user experiences. This feature assembles the whole variety of user gestures letting you see your users’ interaction preferences and tendencies and where they are focusing their attention.
More importantly it can help you detect any unresponsive gestures on each screen as they may indicate a bug or draw your attention to a design flaw in your User Interface Design.
Qualitative app analytics can help you get answers to key questions like:
- Why are the users abandoning my app so soon after downloading it?
- Why are the users not registering or creating an account on my app?
- Why did my app crash?
- Why are the users abandoning their full carts?
- Why is my funnel conversion rate so low?
- Why are the users swiping where there is nothing?
No matter how big the company is, or how well designed it may be – apps crash. Even the best ones do. The main thing is how well you can tackle the crash.
A good crash analytics tool has the potential to improve the crash resolution workflows saving you multiple productive hours.
It is a good idea to invest in a comprehensive crash analytics tool that can give you crash reports with a variety of factors like the type of device, battery condition, Wi-Fi connectivity, phone orientation, and more.
Some of the best ones would also alert you whenever your app crashes on a user. Using the right kind of tool would help you catch crashes a lot faster and help you improve user retention a lot more effectively.
Crash analytics can be used for:
- Crash Alerts
- Symbolicated Crash Reports
- Group Crashes and Crash Aggregation
- Crash Visualization
In A/B testing analytics method, two versions control (A) and variant (B) are used to test out different experiences with the mobile app. two different buckets of users are created and each of them are shown a different version.
As these users are interacting with the two versions, the key metrics are tracked till the test has reached a statistical significance. This would eventually help you determine the effect of the changes you made to the app.
When you take critical decisions with the help of A/B tests you can improve the overall user experience of your app and your KPIs.
Adopting this technique saves you from the trouble of conducting lengthy app reviews every time you are thinking about bringing a change. There are however some platforms that offer you the ability to turn on and off certain in-app features for specific users.
To begin with, you can experiment with the app variants listed below:
- User Onboarding Flows
- In-App Messages and Permissions
- Login Screens
- Conversion Screens
- Screens like “My Cart” “Refer A Friend” and “Loyalty Program”
- Amount, tone, subject lines/titles, CTAs
What are App marketing analytics?
App marketing analytics include things like whether the app users found your app on the app stores, or some other website and whether more money is made through the number of downloads or in-app purchases and other such things.
App Marketing Analytics KPIs
- App Installs – This includes not just the number of app installs but also the journey that the app users took before they reached the install stage.
- Opens – This includes the times when the app is opened, are the users following a particular deep link, or users from another app are coming to you, or is it a particular time of the day that they are opening up your app.
- In-App Purchases – When are the people making purchases in your app or when are they purchasing the app itself.
- Registration or Logins – If your app needs a login or a registrations, you must figure out what makes people decide to register and what makes them abandon it
- Content Viewed – This lets you know what kind of content is a hit with the app users and do more of it
- App Shares – This would tell you the platforms and the reasons why a link to your app or your app content is shared.
- Invites – The number of invites of course is important, but it is important to know who is sending out the invites and who are the people who are getting invited. This can help you understand the right kind of demographics that you must target.
- Custom Events – Apart from all these metrics, there are bound to be some metrics which you would want to track. That is when you would have to design the custom events.
What are In-app analytics?
The actions that users take within the app forms only a part of the in-app analytics. In-app analytics can further be categorized into three – Device, User Demographics and User Behavior.
This means you have access to information like the type of device your users are using and whether that has any impact on their in-app behavior.
How users behave within an app is really important when you are trying to get into in-app analytics. It is important to keep an eye on the way users behave within an app and whether or not that leads to income and conversions.
There are multiple things to measure and analyze here like where are people clicking in the app, how long do they stay in the app, what are the pages that lead to higher conversions and why.
In-App Analytics KPIs
- Type of Device
- In-App Behavior: clicks, progress within the app, purchases
- Demographics: age, location, gender, language and more
- First-time User or Returning User
- Operating System
- Time of Use
Once you have these metrics in front of you, you would know what changes to make in the app for maximum returns. Figure out whether there is a specific content which is leading to app abandonment? Which features do the app users prefer over others?
What are App performance analytics?
This set of statistics form the foundation of app optimization. In absence of these statistics, you can’t possibly enhance your user retention rate.
Whether it is about the app uptime or crashes, responsiveness or app usage, it is important that you know when your app works, when it slows down or fails. This information needs to be gathered for all the devices and operating systems that your users are using to access your app.
Your app might be working well on certain kind of devices, but on others it might not work as well. It is important that you uncover the reasons why.
In case your app depends on any third-party services in the cloud you would have to track exactly how they can affect your app.
App Performance KPIs
- Carrier Latency
- API Latency
- Data Transactions
Mobile App Analytics to Track for User Acquisition Optimization
Once you have built your app and have invested time, money, and other resources in optimizing your SEO strategy, social media marketing, and other paid advertising techniques, and probably even have an in-app referral campaign in place already.
With these metrics you get to figure out how good you are at convincing people to download your app. Also, you get to figure out the ways to optimize any efforts that you are putting in your acquisition efforts so that you can efficiently allocate your mobile marketing budget so that you can scale up what’s working for you and limit what isn’t.
Your Mobile App Analytics acquisition report would give you data about:
- Channel-wise Downloads
- Downloads by Demography
- Downloads by Time
- Paid Ad Efficiency
When you know where the most valuable users are coming from, you can funnel a bigger chunk of your budget there.
Once you know the kind of demographics that come to your app more frequently, it helps you narrow down your target user group
Is there a cycle you can observe in your download volume? Would your download volume increase if you launch an acquisition campaign in these peak time periods?
Measuring popular acquisition metrics like CPC, CPM, CPA, conversion rate, customer acquisition cost, and ROI is great for identifying the areas of strength and areas that need improvement when it comes to your paid campaigns
Mobile App Metrics to Improve User Activation and Onboarding Rates
Getting users to download your app is no mean feat, but it doesn’t really get any easier after that. Even though they have installed your app already, you still might need to convince them to sign up and start experiencing the benefits of your app.
In order to optimize the mobile user onboarding process, conversion needs to be tracked at each step of the journey for each user from their respective starting point right up to completion. This completion that I am talking about here is different for each app owner.
While some might consider it complete upon sign up or registration, still others may see it complete when the users first interact with your products and services.
It is vital that we figure out the points of leak and then design A/B tests for improvement. It is only when you have the BIG cross-platform picture that you can truly understand the location and reasons for the leaks.
The legacy attribution providers work on last-touch attribution models which may prove to be a little dated, to say the least. Here, only those leaks can be caught that happen later in the acquisition funnel. However, in case of people-based attribution providers, you get multi-touch attribution which means that you would be a lot better equipped to patch the leaks irrespective of their location in the funnel.
Mobile App Metrics to Measure User Retention Rate
Irrespective of how strong your marketing plan is or how big your brand may be, if you have a low rate of user retention you can’t really expect a sustainable growth for you mobile app.
Your monthly active users (MAU) or daily active users (DAU) indicate the health of your app or the strength of your app. It is only when you are able to retain the activated users that you can think about getting any MAUs or DAUs.
One really effective exercise is cohort retention analysis. What happens here is that instead of looking at the average user at any given time you will track the retention rate of the groups of users who activated in different months or weeks. A downward trend here can only spell trouble.
To dig deeper, you would have to take a look at engagement metrics like daily sessions per user, average time spent within the app, number of clicks, etc. it is wise to choose a metric that is most closely related to retention because they would be best indicators of retention.
Mobile App Metrics for the Best Mobile Referral Strategies
The next logical step in the strategy is to work on jump-starting a viral growth of the app. the viral growth indicator or the k-factor can be calculated by multiplying the number of invites sent by every new user with the percentage of invites that convert to new users. These referred customers will then enter your activation and retention funnel if they want to after taking a look at the app’s mobile user journey.
In case of churned users, you must measure the resurrection rate. This is because the resurrected users are included in your MAUs and DAUs.
Simply by sending personalized messages and customizing onboarding for referred customers you can boost the conversion numbers by a massive margin.
Mobile Metrics to Improve App Revenue
In case your app lets the users make purchases within the app, you of course need to keep an eye on metrics like in-app purchase rate and average revenue per user. However, make sure that you track the repeat purchase rate as well.
Eventually you would have to compare the cost of acquisition with the customer lifetime value or LTV. Getting the customers to return to your app to buy your products or avail your services is key to boost up the LTV.
This may be about users who have abandoned their shopping carts or booking mid-way, or even about those customers who completed one purchase but are yet to make another one. The idea is to bring them back to the mobile app.
- Event Tracking
- Screen Tracking
- Funnel Tracking
This particular segment is not limited to screens visited but goes further to look deep into the content that is available on the app. Event tracking also includes multiple other factors like swipes, button clicks, menu selections, video plays, ad clicks, and purchases.
Once you have developed a clear understanding of the areas that are not really working for you and your app users you would then have to make the right changes.
This one is actually quite simple, as it means you would be following up on the favorite app screens among the users. As you are doing this, you would definitely come across screens where the users would stagnate and stop. This will help you develop an understanding of the areas that need to be tweaked and improved.
This is particularly relevant in case of eCommerce apps because it focuses on the sequential order that a user follows. The typical stages would be adding products to the cart, placing an order, and payment.
When you take a closer look at the process stage by stage, you would be able to determine the exact space where users are dropping out and then take actions to make changes.
A number of tests conducted by different companies have revealed that a number of users abandon apps when they see the sign in page. What would you do to prevent this from happening, would you make the sign ins easier, or do away with them completely?
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