How Pixowl Increased Revenue by 17% With Smarter Push Notifications
Pixowl, a developer of popular mobile games, achieved an impressive 17% rise in earnings, and they did it by leveraging a cutting-edge technique: personalized push notifications powered by machine learning.
Here’s a breakdown of how they made it happen and why it worked so well.
The Strategy: Smarter Push Notifications
Instead of sending generic push notifications at the same time to all users, Pixowl used machine learning to personalize their notification strategy.
Here’s how it worked:
- Activity Tracking: The algorithm analyzed each user’s activity patterns within the app.
- Optimal Timing: Based on this data, it determined the best time to send notifications when users were most likely to engage.
- Maximizing Engagement: By reaching users at their peak activity time, Pixowl ensured that their messages were not ignored, resulting in higher interaction rates and, ultimately, more revenue.
The Results
- 17% Revenue Growth: Personalizing push notification timing directly contributed to an increase in app engagement and spending.
- Improved User Retention: Notifications sent at the right time enhanced the user experience, reducing the likelihood of churn.
Why This Approach Works
- User-Centric Timing: Notifications sent at moments when users are most active feel more relevant and less intrusive.
- Increased Engagement: Personalized notifications improve open rates, leading to higher interaction and conversions.
- Data-Driven Decisions: Machine learning eliminates guesswork by making precise, real-time adjustments based on actual user behavior.
Takeaway for App Developers and Marketers
Pixowl’s success highlights the importance of personalization and timing in user engagement. Generic strategies no longer cut it in today’s competitive app landscape. Leveraging machine learning to deliver notifications tailored to each user can significantly boost engagement, retention, and revenue.
Experimenting With This Strategy
Inspired by Pixowl’s approach, I’m currently running my own tests to see how personalized push notifications can improve engagement within our community. Data collection is underway—stay tuned for results!
What are you doing to tailor your user engagement strategies today?
Source: www.leanplum.com