
INDIEZ × 1ORBIT
Train Idle Miner: Merge Tycoon
118%
D30 ROAS
34%
Rewarded Playtime Growth
42K+
New Gamers Acquired
29%
D30 Retention
1.4x
LTV / Cohort
About
Indiez Global Pte. Ltd. is a mobile game developer with a portfolio of casual and simulation-focused experiences.
Train Idle Miner: Merge Tycoon combines idle mining, train management, merging, resource collection and city-building mechanics. Players mine resources, merge locomotives, expand railway routes and progressively unlock new areas and upgrades. The game is available across Android and iOS and has continued receiving updates and new content.
Challenge
Turning rewarded installs into meaningful gameplay
For Train Miner, the objective wasn't simply to generate additional installs. The key challenge was acquiring players who would actually engage with the game's idle progression and railway-building loop.
The campaign needed to attract users who would:
- Spend meaningful time playing
- Progress through the mining and train systems
- Return to the game after acquisition
- Engage with deeper gameplay mechanics
- Generate sustainable long-term value
With a progression-heavy idle experience, quality of engagement was more important than raw install volume.
Solution
Rewarded acquisition built around player engagement
1Orbit leveraged its gaming-focused publisher network to introduce Train Miner to rewarded audiences with a strong affinity for casual and idle gaming.
Rather than optimizing purely for installs, the campaign was structured around post-install engagement and player value.
Rewarded Playtime Optimization
The campaign encouraged users to move beyond the initial install and spend meaningful time inside the game.
Traffic was evaluated based on rewarded playtime, progression and downstream retention, helping identify publishers capable of delivering genuinely engaged players.
Progression-led Optimization
Train Miner's core gameplay loop — mine → merge → upgrade → build → expand — provided multiple opportunities to identify higher-quality users.
1Orbit optimized traffic toward users demonstrating deeper engagement with these mechanics.
Publisher-Level Optimization
Performance was monitored across the publisher network using downstream signals such as:
- Rewarded playtime
- D30 retention
- LTV
- ROAS
- Cohort quality
Higher-performing sources received greater allocation as the campaign scaled.



