This article breaks down the brutal math: only 1 in 300 indie games reaches $30,000/month, compared to 1 in 10 for publisher-backed titles. The reason comes down to three structural gaps: marketing budgets too small to fuel growth, no predictive analytics to guide user acquisition, and compounding disadvantages in CPI and ARPDAU that make breaking even nearly impossible.
ILRD isn’t just a setting. It’s the base of your monetization stack. If you’re still looking at yesterday’s aggregate revenue and calling it “performance,” you’re flying blind. In modern user acquisition (UA), seeing $27,000 in daily revenue doesn’t tell you whether your campaigns are profitable, whether your ad frequency test is working, or whether your cheapest advertising channel is quietly hurting lifetime value (LTV). Impression-Level Revenue Data (ILRD), which measures revenue earned per individual ad impression, changes that. It connects every ad impression to a real user, specific device, and the original traffic source, turning return on ad spend (ROAS) optimization, analyzing groups of users over time (cohort analysis), and combining ads with in-app purchases (hybrid monetization) into measurable systems instead of relying on educated guesses. But IRLD isn’t just about turning it on. Waterfall floor math, bidding mechanics, alternative stores like RuStore, and Meta's platform restrictions can introduce discrepancies that quietly corrupt your signal and your UA decisions. In the full article, we break down what’s normal, what’s fixable, and what’s catastrophic. We also show you how to verify your IRLD before every build. If you’re using target Return on Ad Spend (tROAS) in 2026, this isn’t optional reading.
ASO and paid user acquisition have merged into a single growth system as store algorithms focus on product quality, Apple expands ad placements, and organic-only strategies lose ground inside the competitive app economy of 2025. Mobile marketing entered 2025 at a crossroads. The rules that governed app growth for years - organic optimization here, paid acquisition there - no longer hold. Apple Search Ads rolled out new placements, user behavior shifted in unexpected ways, and competition intensified across every category. The result? ASO stopped being a standalone discipline practiced in isolation and became inseparable from the entire product and marketing funnel.
In mobile games, January has long had a reputation as a “dead” month. Once the holidays are over,…
Mobile game publishing at CAS.AI is built for scaling mobile games with a data-driven system: CPI→ROAS UA, hybrid monetization (bidding + waterfall), ASO A/B tests, and creative iteration. Learn the baseline metrics we require and the workflow we use to scale profitably into Tier-1 geos.
ASO in 2025 is no longer a checklist but a full growth strategy. This article explains how App Store Optimization really works today, how App Store and Google Play algorithms interpret your metadata and visuals, and why a systematic, data-driven ASO approach has become a competitive advantage. We break down keyword strategy, localization, A/B testing, and the role of tools like ASOMobile in improving app visibility, conversion rates, and organic growth.
Staged rollouts can distort retention and produce misleading cohort data. Here’s how version mixing happens and how to protect your metrics from false signals.
A behind-the-scenes look at mobile game publishing and the real levers of growth. Four case studies show how CAS.AI scales indie games with data-driven strategies.
Practical guide to kids mobile games design and monetization — how variety, simple UX, and short sessions help boost engagement and build sustainable revenue for children’s titles.
CAS.AI’s method for mobile publishing and scaling apps: clear KPIs, small UA tests, ILD-driven monetization, and Tenjin analytics. Learn how we validate D0/D7, tune ad mix, and scale reliably across geos and channels.
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