Slam Clash!, developed by FAIRY DRAGON, is a fast-paced mobile game where players explore dynamic worlds, collect digital caps, and compete in high-energy battles. Despite strong gameplay and a growing audience, the team faced a familiar challenge: breaking through a monetization plateau while keeping players engaged.
The solution? FAIRY DRAGON partnered with Elevatix and leveraged real-time ML to personalize IAP offers, matching the right incentives to the right players at the right time. This data-driven approach not only boosted conversion rates but also enhanced player satisfaction, resulting in a remarkable 49% increase in ARPPU.
This article dives deeper into the strategies behind these results and reveals how the team saved thousands by optimizing monetization before investing heavily in UA, avoiding the common pitfall of scaling UA without a strong revenue foundation and missing expected ROI.
Why Personalization Is the New Monetization Frontier
In 2024, the average mobile game conversion rate hovered around 2.5%, with top performers reaching 4-5%.
Yet generic purchase offers still dominate the market, leaving potential revenue on the table.
Slam Clash! launched to rave reviews and 1M+ downloads in Q1 2025. Despite strong engagement, key metrics plateaued:
The Challenge:
Slam Clash!, like many leading titles in the F2P mobile gaming sector, confronted a critical and complex challenge: how to effectively convert a larger share of its vast player base into paying customers while simultaneously driving sustainable revenue growth.
This objective had to be achieved without diminishing the seamless and engaging player experience that underpins long-term retention and brand loyalty.
For C-level executives, the stakes are clear. The mobile gaming market is fiercely competitive, and while UA costs continue to rise, the real lever for profitability lies in maximizing the LTV of each player. In this context, Slam Clash! identified a significant opportunity: its IAP strategies, though functional, were not fully optimized to capture the diverse motivations and spending behaviors present within its player community.
The leadership team recognized that unlocking this untapped potential would require more than incremental tweaks. It demanded a holistic, data-driven approach to monetization – one that leverages advanced analytics, personalized offers, and behavioral insights to deliver the right value proposition to the right player at the right time.
The challenge, therefore, was not just to increase conversion rates and ARPU, but to do so in a way that enhances the overall player journey, preserves trust, and strengthens the game’s competitive positioning in a rapidly evolving marketplace.
Strategic Solution: Integrating Elevatix
Recognizing the magnitude and urgency of this challenge, the team made a pivotal decision: to integrate Elevatix, a cutting-edge monetization platform designed to optimize in-app purchase strategies through real-time data analysis and dynamic personalization.
This move perfectly aligned with the studio’s objectives, providing the sophisticated tools and actionable insights needed to unlock new revenue streams and improve payer conversion rates.
Importantly, this decision was made before allocating significant budgets to UA.
By first optimizing the monetization funnel and ensuring that every player touchpoint was maximized for value, Slam Clash! positioned itself to extract far greater returns from future UA investments. This strategic sequencing not only mitigated risk but also ensured that marketing spend would be supported by a robust, high-performing monetization infrastructure, making the integration of Elevatix one of the most impactful and forward-thinking decisions in the game’s growth trajectory.
Integration was swift and seamless, allowing the Slam Clash! team to stay focused on game development while Elevatix optimized monetization in the background. Elevatix started to deliver highly personalized offers to players, dynamically adapting to their in-game behavior and purchase patterns.
ML Personalization in Action
Within 48 hours of integration, Slam Clash! began seeing ML-driven offers tailored to real player behavior:
Performance Before vs. With Elevatix
After just 1.5 months of live testing with Elevatix, the impact was transformative:
These improvements translated into a substantial uplift in overall revenue and player lifetime value, clearly demonstrating the power of ML-driven, data-backed personalization.
What Drove These Results?
Elevatix leverages real-time ML to segment players by behavior, spending patterns, and engagement level, enabling the automated delivery of personalized IAP offers and dynamic pricing.
Instead of generic promotions or demographic segmentation, each player receives tailored bundles and incentives that feel relevant and timely, increasing both the likelihood and value of purchases. Elevatix’s self-optimizing campaigns and built-in A/B testing further refine these strategies, ensuring continuous performance improvement without manual intervention.
By automating and personalizing the monetization process, Slam Clash! not only boosted key KPIs but also freed up internal resources to focus on game development and innovation.
These gains were achieved before committing large budgets to UA, ensuring that every new player brought in would encounter a finely tuned, high-converting monetization funnel, maximizing ROI and minimizing the risk of wasted UA spend.
Key Takeaways:
- Personalization Drives Revenue: By moving beyond generic offers and leveraging real-time behavioral data, Slam Clash! unlocked a new level of monetization potential.
- Seamless Integration: Elevatix’s platform allowed rapid deployment without disrupting ongoing development or requiring extensive resources.
- Sustainable Growth: The conversion, ARPPU, and DPU improvements are not just short-term spikes but represent a sustainable shift in player monetization and engagement.
The Slam Clash! and Elevatix partnership is a compelling example of how ML-driven personalization can transform monetization for F2P games.
By trusting in automated, real-time segmentation and tailored offers, Fairy Dragon boosted key revenue metrics and enhanced the overall player experience, proving that great games can achieve even greater success with the right tools.
