全球iGaming市场正快速增长,预计2030年市场价值将超过1530亿美元,其中移动游戏在2023年贡献了行业总收入的60%,用户规模预计到2029年将达到2.905亿。AppRefinery的首席分析师Kalle Heikkinen和全球销售总监Christie Crable近日举办了一场webinar,探讨如何提升iGaming应用的用户参与度,重点包括用户下载动机、获客促销策略以及建立忠诚用户群的参与功能。
Core to the discussion is AppRefinery's User Motivational Framework, which breaks down the main factors driving users to download and return to an app into seven categories: social, management, security, exploration, expression, escapism, and mastery. Understanding these motivations allows marketers to optimize features, user journeys, and engagement strategies, which is key for improving retention and monetization. The Competitor archetype is highlighted as particularly relevant for iGaming, driven by the desire to win and showcase skills, responding well to features like leaderboards, achievements, and social sharing.
The webinar also covered promotional strategies for user acquisition. New player and first-time deposit offers, such as bonus bets and bet safety nets, are highly effective in reducing friction and creating immediate value. For example, FanDuel's double incentive structure pairs bonus bets with an added reward like NBA League Pass, appealing to both sports enthusiasts and savvy bettors. BetRivers' Prop Packs introduce a gamified approach with tiered digital cards and performance-based bonuses, blending chance and gamification to enhance engagement.
Furthermore, engagement features like daily login rewards and streak systems are designed to create habitual use and foster a sense of progress and community. DraftKings' BetFeed provides social proof and community interaction, while FanDuel's Daily Shuffle uses habit formation and progression mechanics with cumulative rewards to incentivize daily returns. These features make the betting experience more interactive and less transactional, crucial for player retention in the competitive iGaming landscape.
Overall, the webinar emphasizes that combining user motivation insights with tailored promotions and engaging features can significantly improve user acquisition, retention, and lifetime value. Real-world examples from DraftKings, FanDuel, and BetRivers illustrate how applying these strategies effectively drives incremental performance and user loyalty.
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
LLMs like ChatGPT and Gemini are reshaping mobile app discovery, with traditional search volume expected to decline 25% by 2026. These AI platforms act as answer engines, delivering direct app recommendations to users. For ad ops, this shift requires optimizing for LLM visibility through structured content and reputation management. While native ad formats are in early testing on platforms like Perplexity and Gemini, early adoption can secure high-intent placements. Marketers should track AI-driven traffic and align discovery strategies across ASO, SEO, and LLMs to stay competitive in an AI-first environment.
This guide demystifies mobile marketing acronyms for ad ops. Key pricing models include CPM for awareness, CPC for traffic, CPI for installs, and CPE for engagement. Mintegral's Target CPE and Target ROAS optimize for conversions and ROI. Platforms like DSP, SSP, and RTB automate buying and selling. Attribution relies on MMPs, SKAN, and MMM. Metrics such as MAU, DAU, LTV, and ARPU track performance. Monetization models (IAA, IAP, hybrid) and ASO/CTV are also covered. Actionable takeaway: choose pricing and tracking based on campaign goals.
Aura Remarketing re-engages inactive app users via native on-device notifications, targeting high-value segments like in-app purchasers. It diversifies UA strategy by reactivating lapsed users (90% churn within 30 days). Key targeting: user type, demographics, device, download recency, engagement, and post-install behavior. Requires a performance link, redirect link, user criteria, bid, and KPIs. Currently supports notifications; future placements include Game Spotlight. No additional privacy steps needed.
Influencer marketing drives app growth by building trust and authenticity beyond traditional UA. Budgeting should start with target markets, CPM benchmarks, and a 25% uplift in daily organic installs. Choose creators based on data: audience demographics, recent views, and content alignment. Measure performance with granular attribution links (e.g., AppsFlyer OneLink) to track installs, conversions, and ROI. Avoid vanity metrics; focus on CVR, retention, and long-tail effects. Start with small campaigns to gather benchmarks before scaling.
RMG creatives must segment users into Active, Casual, and Inactive player types. Casino ads thrive with longer videos (30-53s) showing gamified visuals and big wins, while Sportsbook ads need short, offer-first videos (27-30s). Key formats are portrait orientation and banner sizes 300x50/320x50. Avoid short videos without value, landscape orientation, and hype-heavy testimonials. Top competitors like Chumba Casino and FanDuel use UGC, clear offers, and localized relevance to boost conversions.
In 2025, non-gaming apps are adopting game mechanics like missions, streaks, and shared goals to boost engagement. AI moves to the front as a visible user tool, while social features evolve into collaborative experiences. For ad ops, these trends create new opportunities for rewarded ad placements, contextual targeting, and deeper user retention through habit loops and co-op design.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
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