Customer Story
Capybara Go!
by Habby
How Habby Transformed Capybara Go’s Soft Launch Success into a $100M+ Global Hit
From meme to mobile sensation, how Habby scaled Capybara Go with regional targeting, player behavior insights, and event optimization powered by ThinkingEngine.
First launched in Southeast Asia in August 2024, Capybara Go combined idle-RPG mechanics with a quirky roguelike progression loop, propelled by the viral charm of its capybara mascot to the top of app store charts. While the game gained impressive traction during its soft launch, the real test came on November 19, 2024: could it sustain that momentum into a successful global debut?
Behind the scenes was Habby, the studio behind breakout hits like Archero and Survivor.io. Capybara Go’s early success wasn’t just luck or memes, it was built on years of data-driven strategy. Having partnered with ThinkingData since the days of Archero, Habby continued to rely on unified analytics across player behavior, monetization, and UA to shape Capybara Go’s growth from the start.
The results were immediate. Capybara Go’s launch quickly turned viral buzz into strong commercial performance, fueled by fast, signal-driven decisions powered by ThinkingEngine. Habby localized LiveOps, fine-tuned events in real time, and scaled UA with precision, laying the foundation for what would become a $100M+ global success.
Behind a Blockbuster Global Launch
After an extremely successful soft launch in Southeast Asia in August 2024 that earned them up to $800K in revenue per day, Habby turned their attention to key markets including South Korea, Taiwan, and the U.S. Powered by meme-driven momentum and supported by ThinkingData’s real-time analytics, the game quickly climbed the charts in those markets as well.
- $33.3M in revenue in December 2024
- $32.1M in January 2025
- $1.4M daily record following the v1.5 update in late January
From launch day, Habby used behavioral insights to drive monetization, UA, and LiveOps strategy, positioning Capybara Go for immediate impact across markets.
Scaling Smart from Day One
With ThinkingEngine’s full analytics suite in place, Habby aligned product, UA, and LiveOps teams around a shared view of performance, segmented by region, cohort, event behavior, and spend trends.
Regional Segmentation & UA Efficiency
ThinkingEngine dashboards gave UA teams a unified view of campaign ROI by geography and channel, revealing which creatives and placements were over- or underperforming.
- Habby reallocated budget to high-ROI regions like South Korea and Taiwan, where LTV was strong and retention was more stable.
- In contrast, UA spend in Western markets like the U.S. was paced more conservatively, only scaling when early cohorts showed promising conversion.
By using regional LTV trends as a north star, Habby moved from blunt global acquisition to surgical UA pacing, avoiding wasted spend and improving long-term retention.
Monetization Breakdown by Cohort
With clear insight into ARPU and RPD across player segments, the product team could tailor monetization strategies by market.
- In the U.S., ~700K downloads post-launch translated to ~$1M in IAP revenue, indicating room to grow monetization via shop offers and live events.
- ThinkingEngine also helped pinpoint where ad monetization could be layered in without harming player experience. While IAP made up 85–90% of total revenue, IAA filled key gaps in lower-spending markets, contributing a consistent 10–15%.
This data allowed Habby to fine-tune the IAP/IAA mix by player type and region, creating a hybrid monetization model that scaled more efficiently.
Event Cadence Optimization
LiveOps teams used ThinkingEngine to track event participation, offer redemptions, and purchase timing, helping them refine the rhythm and impact of new content drops.
- The TMNT collaboration in June 2025 delivered a 48% RPD spike on iOS, validating the power of IP-driven events.
- But more importantly, ThinkingEngine helped the team avoid event fatigue by pacing releases based on engagement patterns, ensuring that content remained fresh without overwhelming players.
Over time, event planning shifted from gut instinct to data-backed iteration, with A/B testing, segmentation, and post-event dashboards guiding both creative and cadence decisions.
“ThinkingEngine gave us the visibility we needed to act fast, test smarter, and grow in new markets. Our UA and product teams could finally speak the same language with the data to back every decision.”—Habby
In just 90 days post-launch, Capybara Go turned viral buzz into a sustainable business:
- $109M+ in player spending
- Top revenue contributors:
- South Korea – 28%
- Taiwan – 17%
- United States – 15%
More importantly, Habby gained a playbook for global scale:
- Data-informed UA pacing based on regional LTV
- LiveOps planning rooted in real user behavior
- Monetization strategies tailored to player segment and market
From Flash Trend to Long-Term Strategy
Capybara Go’s initial virality was no accident, but sustaining it required a shift in mindset. With the help of ThinkingEngine, Habby immersed itself in player data and data-driven insights, investing in long-term player engagement supported by real-time analytics and LiveOps.
- By December 2024, the game had generated $40M+ overseas just weeks after its global launch.
- By February 2025, it crossed $109M in global revenue, ranking among the top idle RPGs on Android in the U.S.
As momentum stabilized, Habby shifted toward signal-driven operations: personalizing events, optimizing monetization by region, and fine-tuning UA based on cohort behavior. Key markets like Korea, Japan, and SEA remained strong through localized content drops and a hybrid IAP + ad model that kept LTV high.
What ultimately set Capybara Go apart was Habby’s ability to iterate upon their previous successes like Archero and Survivor.io. Leveraging ThinkingEngine, product managers could spot early warning signs, such as dips in DAU or underperforming features, before they impacted revenue. Store bundles, in-game incentives, and event pacing were continuously fine-tuned, creating a cycle of rapid, data-driven iteration. This feedback loop, built on a long-term partnership with ThinkingData, allowed Habby to carry proven mechanics forward, evolve them, and keep players engaged well beyond the launch window.
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Data-driven results for over 8,000 games
ThinkingData has served more than 1,500 game companies, including well-known game companies such as FunPlus, SEGA, IGG, Habby, River Games, Century Games, LoadComplete, 37 Games and so on. More than 8,000 games have been integrated into ThinkingEngine.
