Monetization Optimization
Find the optimal balance between user experience and revenue. Test complex offer structures and ad placement strategies.
Dynamic IAP Bundle Optimizer
What price and what combination of items should be included in a 'Starter Pack' to make it as attractive as possible for new users?
Hyperstone explores hundreds of combinations of hard currency, boosters, and price points ($0.99 to $9.99) simultaneously to find the highest converting bundle for each user segment.
Example scenario: A studio tests different Starter Pack configurations — $4.99 with extra hard currency for Tier-1 markets, $0.99 with more boosters for Tier-3. The algorithm finds the optimal bundle for each segment.
Ad Placement & Frequency Logic
After which level is it best to show the first interstitial ad so that users don't churn early?
We test different intervals between ads (30s, 60s, 120s) and starting levels (Level 3/4/5) to maximize Ad LTV while maintaining retention rate.
Example scenario: Testing first interstitial after level 5 instead of level 3 can improve D1 retention without significantly reducing Ad ARPDAU.
Optimal Offer Timing
When is the optimal moment to show an offer to a non-paying user?
Hyperstone analyzes real-time engagement and frustration signals to surface the offer exactly when the user is most likely to convert, testing prices from $1.99 to $4.99.
Example scenario: Surfacing a 'Revive' offer only when a player fails a level they've spent significant time on can increase IAP conversion compared to showing it after every failure.
Game Metrics
Go beyond basic A/B testing. Optimize complex game loops and retention mechanics in real-time.
Difficulty & Flow Balancing
How many 'lives' or 'moves' should a player have on Level 50 to maintain the perfect challenge level?
Hyperstone dynamically adjusts level difficulty parameters by testing variant values (e.g., +2 moves, tighter time limits) to ensure players stay in the 'flow' state and don't churn due to frustration.
Example scenario: The algorithm detects that players who fail a boss twice benefit from a subtle difficulty reduction, keeping them engaged without removing the challenge.
Reward Economy Calibration
How many coins should be rewarded for completing a daily task to prevent hyperinflation while keeping players motivated?
Hyperstone monitors your game economy in real-time and automatically scales rewards based on the current progression and purchasing power of the player base.
Example scenario: During a holiday event, the system can automatically adjust quest rewards to compensate for a temporary influx of currency, maintaining economy balance.
Onboarding Flow Optimization
Where do players drop off during the first minute of the game?
Hyperstone tests multiple tutorial variations simultaneously—from guided screen highlights to no tutorial at all—to find the flow that maximizes both completion rate and D1 retention.
Example scenario: Testing 'learn-by-doing' vs. guided tutorial approaches. The algorithm finds which onboarding flow maximizes both completion rate and D1 retention.
Localization & Adaptation
Automatically adapt your game to regional economic realities and cultural preferences.
Regional Pricing Optimization
What is the optimal price for a 'Battle Pass' in Brazil vs. the USA to maximize total global revenue?
Instead of simple currency conversion, Hyperstone tests different purchasing power parity price points globally, often discovering that localized price points in emerging markets lead to 200%+ higher volume.
Example scenario: Instead of a flat $9.99 Season Pass globally, testing localized pricing may reveal that lower price points in emerging markets lead to higher volume, increasing total regional revenue.
Cultural Content Preference
Which character skin or event theme performs better in Asian vs. Western markets?
Test regional assets, event banners, and localized naming conventions. Hyperstone automatically routes the best-performing creative to the corresponding regional user segments.
Example scenario: The algorithm can route different visual assets to different regions, testing which character skins or event themes resonate best with each market.
Regional Economy & Reward Tuning
What is the optimal reward scale and item cost for different regions to ensure a balanced progression?
Hyperstone automatically regulates the value of in-game rewards and shop prices based on local economic factors, ensuring that the game economy stays healthy and engaging globally.
Example scenario: The system can adjust Hyperstone-gain rates or reward scales per region to maintain balanced progression for players with different average session counts.
Remote Config & LiveOps
Run your live operations with surgical precision. Safely deploy and test new features.
Seasonal Event Parameterization
What quest requirements lead to the highest event completion rate during the Winter Festival?
Test event parameters like 'Collect 10 items' vs 'Collect 20 items' in real-time. Hyperstone finds the 'sweet spot' that keeps the most players active throughout the entire festival period.
Example scenario: Testing 'Collect 50 items' vs. 'Collect 35 items' as a quest goal — the algorithm finds the threshold that keeps the most players active throughout the event.
Multi-Store Pricing Optimization
Is a $4.99 'Starter Pack' equally effective across all platforms?
Each app store (App Store, Google Play, Huawei AppGallery) has unique user demographics and fee structures. Hyperstone tests multiple price points simultaneously to find the optimal balance for each ecosystem.
Example scenario: Testing different price points for each app store can reveal that the optimal price varies by platform due to different user demographics and payment behaviors.
