App engagement
To engage your app users you must have an effective mobile engagement strategy in place. More often than not this will need to include an effective push notification strategy.
The reason that push notifications are important as part of a mobile app strategy is that they can provide incredibly useful insights around how your app functions and how users engage with it.
The more detail you put into the push notification strategy the better your app engagement data that comes from it, and the level of app analytics insights you’ll get in return.
It’s great to have information about how your user uses each interface inside of your app. The next step is looking at where your users engage with your app.
Understanding accurate app engagement metrics are fundamental to building an effective mobile app engagement strategy.
Let’s look at an example – engaging your users in a specific moment.
A strategy such as this is great at increasing mobile app engagement, but the thing that’s even more powerful for apps is using data around the app engagement moment to learn about your users and how they want to interact with your app.
There are a few different mobile app analytics platforms that provide you with data around app engagement:
App engagement solutions
Tamoco – Takes engagement insights one step further by adding precise location to the above. Location is a relevant insight for app users because it allows you to understand in which location engagement is best and in which moment your users are most engaged. It’s all available in a nice platform with a mobile app analytics SDK to boot.
Universal Analytics (Google) – For a general overview of app engagement, there’s not much better than Universal analytics. Best of all is the price – but, it offers reliable stats to measure the effectiveness of your engagement strategy. It’s a great starting point for all app developers to have in their business strategy.
What you’ll learn: Communication engagement, time of engagement, location of engagement.
App analytic insights: when, how and where your users are most engaged with your mobile app.
Mobile user experience
Understanding micro-moments with accurate data.
For apps that were to succeed it’s crucial that they make the distinction between engagement and experience. They will also have to find ways to measure both effectively. It’s an important part of an app analytics strategy to be able to measure this separately to engagement.
However, app experience and mobile user experience can be subjective and therefore difficult to measure in a traditional app analytics platform.
You must think about many parts of your app’s strategy in order to create the best mobile user experience, as it encompasses many different factors.
As data is the single most important thing you can use to back up your app business strategy, it’s important to learn what contributes towards a positive app experience.
This involves hypothesizing (based on any data that you might already have) and then measuring and adapting with mobile application analytic tools. Let’s look at some examples of hypothetical positive app experiences.
A fitness app that understands where users like to work out and suggest recommendations. Also, can avoid potential risks by monitoring route etc
Booking app using location history to suggest much better experience. And understand where the users use the app to find these. The solving problem before users reaches the micro-moment.
In these two examples, it seems to be quite difficult to measure the success of these experiences. But what we can do is to use engagement and retention figures and combine this with other data sets and qualitative insights to get a better idea of your app experience.
One solution is looking at direct videos of user experience and matching this up to patterns in-app deletion.
Another involves looking at the real-world location in which apps are being engaged with most and where they are losing users.
App experience solutions
Appsee – lets you record real user sessions so that you can identify the reason for engagement patterns. Also has some nice heat maps.
Localytics – Also has good heat maps function to allow you to pinpoint where experience is increasing/dropping off.
What you’ll learn: Where micro-moments occur.
App analytics insights: New features, Retention strategy
In-app monetization
If you want to create an app that functions as a business then you’ll need accurate app analytics, insights and forecasts around app monetization.
Which insights you’ll need here depends on your app monetization strategy. There are many app monetization challenges, but some will be more relevant to your business.
If you have a mobile app monetization strategy that is based on delivering mobile ads to your users, then you’ll need a platform with in-depth insights around ad delivery, CPM, and impressions vs clicks.
If your app monetization takes the form of in-app purchases then it’s important to look beyond revenue. Can you find a app abalytics solution that shows you the optimal moment that your user is likely to purchase your service or digital goods? If you can understand how this kind of in-app monetization works then this will be the key to boosting app revenue.
App data monetization is another app monetization strategy that can deliver high revenue for apps. Platforms include dynamic CPM pricing based on your where your audience is most active. This allows you to forecast your revenue accurately and helps you to understand where to invest your app marketing budget to best improve your bottom line.
App monetization solutions
Universal analytics – Allows you to track revenue and in-app purchases.
Mixpanel – has a nice revenue tracking feature.
Tamoco – Allows you to monetize without ads and track your revenue by app, location, user and more.
What you’ll learn: Revenue, CPM, User value, app monetization best practices.
App analytics insights: Forecasts, marketing allocation, which kind of user is most valuable to your app business.
Conclusion
- Data is the most important thing to hypothesize, measure and test your app business model.
- There are many platforms that you’ll need to paint a complete picture.
- Data is effective in measuring how users find and download your app.
- An effective app retention strategy leverages user data.
- Engagement can be quantified and this is helpful to hypothesize.
- In-app monetization will benefit from data. Use it to understand how to improve your revenue.
Do you make the most of in app analytics? Have you got a reliable data strategy to inform your app’s business decisions?
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”50px” bottom_margin=”20px”]
Grow your app with Tamoco
[mkdf_button size=”” type=”” text=”Get started” custom_class=”” icon_pack=”font_awesome” fa_icon=”” link=”/solutions-app-developers/” target=”_self” color=”” hover_color=”” background_color=”” hover_background_color=”” border_color=”” hover_border_color=”” font_size=”” font_weight=”” margin=””]
[mkdf_separator class_name=”” type=”normal” position=”center” color=”#E8E8E8″ border_style=”solid” width=”100%” thickness=”3px” top_margin=”20px” bottom_margin=”0px”]