In the ever-evolving world of user acquisition, marketers are always chasing the next edge—whether it’s better creative, smarter bidding, or a more granular audience. But one high-potential metric remains largely underused: time-on-device.
Imagine not just targeting users by age, interest, or location—but by how much time they spend on their phones each day. When used strategically, time-on-device and app session behavior can help UA teams tap into overlooked, high-value audiences that traditional targeting misses.
What Is Time-on-Device Targeting?
Time-on-device targeting refers to selecting users based on how long they actively use their smartphones each day. This can include overall screen time, frequency of app sessions, or depth of engagement with specific app categories.
While most ad platforms don’t expose this metric directly, some advanced DSPs and SDK-based networks offer behavioral segments built around session length, app usage, or device engagement. For example:
- “Heavy mobile gamers (3+ hours/day)”
- “Users with 20+ daily sessions”
- “Frequent utility app users”
This behavioral data offers a new way to reach users with both high intent and proven device engagement.
Why It Matters for Scaling UA
1. High Screen Time = Higher Monetization Potential
Users who spend more time on their phones are more likely to engage deeply with your app. Whether you monetize via ads, IAP, or subscriptions, high screen-time users tend to drive better LTVs. They explore features, return often, and are open to trying new apps.
2. Lower Competition, Higher Efficiency
Most advertisers still focus on basic demographics or platform-level interests. That means time-on-device targeting is relatively underutilized and less competitive. As a result, CPIs can be lower—even for premium traffic—while retention and engagement improve.
3. Better Fit for Session-Based Apps
If your app thrives on frequent, short interactions (think social, productivity, or utility apps), time-on-device targeting aligns perfectly. You’re acquiring users who are already in the habit of checking their phones multiple times a day.
4. Early Signal for Retention Modeling
Session frequency and screen time are early indicators of app stickiness. By targeting users who show this behavior across other apps, you improve your odds of building a loyal audience.
Real-World Use Cases
- Mobile games targeting users with 2+ hours of daily screen time often see higher Day 7 retention and better ARPU.
- Fintech and utility apps utilize “power users” from similar app categories to identify users who engage beyond initial installations.
- Subscription apps benefit from users who open the app multiple times a day, leading to stronger onboarding and trial conversion rates.
The Iconpeak Approach
At Iconpeak, we build UA strategies that go beyond surface-level targeting. We work with networks and platforms that support advanced behavioral segmentation, including time-on-device and session behavior targeting. Combined with creative testing and funnel optimization, it’s one of the most effective ways to scale quality installs—not just cheap ones.
Final Thought:
The most valuable users aren’t just out there—they’re already glued to their screens. Time-on-device targeting helps you find them before your competitors do. Don’t just chase volume. Go after behavior.