Last May the new Buienradar app went live (more here). With over 2 million users each month, it’s one of the biggest dutch apps. This brings the possibility to create campaigns targeted on a large group of users. A popular campaign in apps is convincing users to review your app. We did have a successful campaign with Buienradar the first month, with over 800+ reviews and an average rating of 4.5 stars!
Ratings request frameworks
A quick look on Github will give you a few frameworks which will give you the code to implement a rating request. Polljoy, iRate and Appirater are popular ones. Polljoy listed these here with pros and cons.
The most popular one seems to be Appirater, which works and quickly gives you a way to target on your users.
It gives you a set of possibilities to target, like targeting on users which have used the app for 5 days or have the app open for about 1 minute. It will prompt the user an alert with the question to rate or ask later:
This could work, but it can be done better. It didn’t suit for Buienradar, as we want to control the moment of showing the rating request ourself. Furthermore, we would like to know which rating is given and show the feedback form on users which rate low.
The importance of choosing the right moment in Buienradar
A big mistake many apps make is showing the alert right after launch. Buienradar users mainly use the app to quickly look if it’s going to rain. 40% is leaving the app on the first screen and the average sessions time is under 20 seconds. The last thing users want is to rate your app when they’re on a quick lookup in your app. You’ve shown the alert and the users presses later or don’t show again. Failed!
For Buienradar we wanted to target on users which open the app and navigate to a different tab. The second popular tab in Buienradar is the 14 days forecast, which perfectly suits for our campaign:
Swrve made it possible for us to create this type of targeting. Swrve brings you the possibility to target with events triggered by the app, for example the event of the 14 days forecast. Furthermore, you can target on metrics like app versions, iOS versions and so on.
We wanted to target on users who are up to date with their device. Targeting on users which navigated to the 14 days forecast and which have installed the latest iOS and app version. This creates a specific target group which are likely using the app without being in a hurry and which have time to give us their rating. However, we wanted to make sure the users are familiar with the app and aren’t navigating through it for the first time. They have to be happy with the app and returned to it for a few times. This resulted in the following campaign:
- Users with the latest iOS version
- Users with the latest app version
- Users which have used the app at least 10 times
- Triggered by the 14 days forecast event
The alert triggered by Swrve is created on the web. If the user gives a rating lower then 3, it will be navigated to the feedback page through deeplinking with Swrve. This resulted in many filled feedback forms and some quick updates afterwards. After one month we’ve released three updates with new features and fixes based on user feedback. At the end this will result in better reviews as well, as users wont have any issues left and are happy to see their feedback is taking serious.
If the user is giving a 4 or 5 star rating, he’ll be navigated to the App Store. At the end it gave us over 800+ reviews with an average of 4.5 stars!
Make sure the moment is right to show the alert. Create a specific group of users which convince you they’re in love with your app and are happy to give you a rating. Picking the right tool makes it easy to implement and gives you freedom to test several pages in your app. Swrve perfectly suits for this.
All posts in this category
- Developer productivity boost with Google Search Tips & Tricks
- Speeding up development: a collection of tips
- Danger plugins to speed up code reviews
- Speeding up with Xcode Behaviors
- Measure the performance of code in Swift
- Performance, functional programming and collections in Swift
- SwiftLint valuable opt-in rules to improve your code
- Effective development by improving the daily routine as a developer
- Using the Network Link Conditioner Utility
- Build performance analysing in Xcode 10