Fate/Grand Order, developed by Delightworks and published by Sony's Aniplex, is Sony's most financially successful game, generating $3 billion in revenue from mobile platforms since its 2015 launch. This is equivalent to selling 50 million PS4 copies at $60, or five times the gross of Horizon: Zero Dawn. Japan accounts for 82% ($2.46B) of spending, followed by China at 12% ($360M) and the US at 3% ($90M).
The game's success underscores the dominance of mobile gaming and regional fanbases.
In 2018, global mobile app revenue hit $71.3B, up 22.7% from 2017. App Store led with $46.6B, Google Play $24.8B. Gaming accounted for $54.7B. First-time installs exceeded 105.3B.
AppsFlyer’s 2026 creative data shows video and static image ads reward opposite creative qualities, so ad ops teams should plan, budget, and test them separately. Video spend is concentrating: gaming’s top 2% of video creatives captured 60.7% of spend, up from 53.5%, while image spend spread out. Top spenders are testing far more variations, widening the testing gap. Action/Strategy and Puzzle/Lifestyle show format-specific tone and social-proof reversals; Finance is the exception. Teams should use AI-assisted variation, analyze video winners deeply, keep broad image testing, and measure performance at attribute level.
September mobile gaming softened overall but delivered clear live-ops wins. Global consumer spending hit $6.13B, down 7% MoM, with the US at 28.7%, China iOS 15.7%, and Japan 12.4%. Downloads reached 3.56B, down 5.2%, led by India at 16.2%. ROBLOX topped downloads and revenue growth; Honor of Kings stayed strong via seasonal content; Candy Crush and Pokémon GO used music, celebrity, and event-driven engagement. For ad ops, prioritize event-aligned UA/retargeting, IP collaborations, seasonal battle passes, and localized creatives for US/India/Brazil. Monitor launch spikes from Bus Fever Party!, Honor of Kings Chess, and Brain Puzzle 3 to time bids and creative refreshes.
Mobile CPI and app store fees are eroding ROAS, making web gaming a viable acquisition channel. Full Unity-to-HTML5 ports now deliver 30-50% lower CAC and avoid 15-30% store revenue cuts via web payments. Measurement parity is here: AppsFlyer enables independent attribution, conversion signals, and unified reporting. Retention can improve; one strategy title jumped from 6-7 minutes mobile to 70+ minutes web. Best fit: deep RPG, strategy, puzzle, story games, not hypercasual. Action: audit catalog, pilot web ports, link accounts cross-platform, and use owned media to drive high-intent web users.
Japan's finance app category is outperforming, with H1 2026 installs up 8% YoY and sessions up 40%—nearly 5x the install growth and well ahead of global figures (5% and 29%). Stock trading is the standout subvertical: installs +90% YoY and average session length climbing to 11.7 minutes, driven by NISA reforms and a retail investor resurgence. Retention is improving across the full 30-day curve (D1 17% to 19%, D30 7% to 8%). For ad ops teams, the takeaway is clear: prioritize measurement depth, re-engagement, and channel-level quality over top-of-funnel volume alone.
Adjust has expanded store detection and verification across multiple app storefronts, making Store Type the primary dimension for identifying where an install originated rather than relying on platform or OS alone. For ad ops teams, this means campaign performance can now be analyzed at the store level across Huawei AppGallery, Xiaomi GetApps, Samsung Galaxy Store, Vivo Appstore, and Google Play variants, with independent verification of install origin. Newly detected stores are flagged in AppView with a direct route to configuration, and store-level data flows automatically into reporting, raw data, callbacks, and CSV exports, plus Conversion Rules via Store Rule conditions.
TikTok from ByteDance has surpassed 1 billion installs globally, with 663 million in 2018. It is the 4th most downloaded non-game app, with 71.3 million new users in January 2019, 161% more than last year.
Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.
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