How Pixowl Increased Revenue by 17% Using Machine Learning
Pixowl, a mobile game developer, managed to achieve an impressive 17% boost in revenue with a clever and innovative approach. Here’s how they did it:
The Strategy: Personalizing Push Notifications with Machine Learning
- The Problem:
Like many app-based businesses, Pixowl faced the challenge of timing push notifications effectively to maximize user engagement and in-app purchases. - The Solution:
They implemented a machine learning algorithm to analyze each user’s app usage history and identify the best time to send notifications.- This algorithm considered factors such as:
- Frequency of app use.
- Time of day users were most active.
- Behavioral patterns related to in-app actions or purchases.
- Instead of sending notifications at a fixed time for all users, they tailored delivery times to each individual.
- This algorithm considered factors such as:
- The Result:
- Personalized notifications led to higher engagement rates.
- Increased engagement translated into more in-app purchases, ultimately driving a 17% increase in revenue.
Why It Worked
- Personalization is Powerful:
Tailored communication feels more relevant to users, making them more likely to interact with the app. - Optimized Timing:
Sending notifications when users are most likely to engage ensures the message is seen and acted upon, rather than ignored. - Increased Engagement = Higher Revenue:
Engaged users are more likely to explore in-app features, make purchases, and stay loyal to the app.
How You Can Apply This Strategy
- Gather User Data:
- Collect data on user behavior, including app usage times, frequency, and patterns.
- Leverage Machine Learning Tools:
- Use tools like Leanplum, Braze, or Firebase to implement machine learning algorithms for personalized push notifications.
- Test and Optimize:
- Experiment with different algorithms and monitor engagement metrics to refine the timing and content of your notifications.
- Focus on Relevance:
- Combine personalized timing with meaningful content that resonates with your audience.
Inspired to Try This?
This case study inspired me to experiment with similar strategies for my own community. I’m currently in the process of gathering data to test this approach. Stay tuned for updates!
Source: Leanplum.com