The article argues that the open internet—comprising millions of independent apps, ad networks, and DSPs—presents a major growth opportunity for app advertisers, yet remains underutilized. Key data points include: US consumers spend 59% of online time on the open internet, but only 48% of ad dollars go there (The Trade Desk). Walled gardens (Meta, Google, TikTok) are losing programmatic ad spend share for the first time since 2017 (EMARKETER), driven by rising costs (Facebook CPI max $5.50 vs.
ad network $4.50, per Business of Apps) and Apple's ATT framework, which complicated tracking and inflated costs. Machine learning levels the playing field, enabling real-time, automated targeting across fragmented inventories. For gaming apps, the open web offers relevant users (gamers on game inventories), contextual playable ads, and improved segmentation.
For non-gaming (e.g., e-commerce), benefits include expanded audience targeting, performance-based pricing (e.g., Target ROAS), and engaging ad formats like shoppable videos. Actionable takeaway: approach the open internet in three steps—learn the decentralized ecosystem, work with partners that provide scale (high fill rates), and integrate a mobile measurement platform for unified attribution. Mintegral's SDK-powered solution covers 100,000+ apps, offering fill-rate control and integration with major exchanges, positioning it as a key enabler for open web growth.
The article argues that 2026 is an ideal time for advertisers to recommit to the open web due to rising costs in walled gardens. Key drivers include generative AI enabling scalable creative production, retail media expanding beyond owned properties, automation reducing operational friction, and cross-channel intelligence improving ROI. With consumers spending 59% of time on the open web versus 48% of ad spend, there's a significant opportunity to achieve cost-efficient performance. Advertisers should treat the open web as a central pillar, leveraging lower CPMs, flexible bidding, and improved attribution to stretch budgets.
Web-to-app continuity is often broken during the handoff between mobile web and app, causing significant revenue loss that goes undetected. Brands like AirAsia, Tata CLiQ, and Apartment List improved conversions by using AppsFlyer's Deep Linking Suite to preserve customer intent and context. Fixing this hidden leak turns fragile transitions into predictable growth.
Web-to-app strategies can significantly boost retention, engagement, and LTV by converting web users into high-value app users. Key pillars include defining clear goals, targeting high-intent users, designing native-feeling creatives, crafting compelling copy, ensuring seamless deep linking, and measuring attribution. Adjust's tools like Smart Banners, Smart Scripts, and TrueLink enable dynamic targeting, attribution continuity, and optimized routing. Data shows potential for 4x CTR improvements and click-to-install rates rising from 25% to 50%. Decision-makers should focus on segment-based optimization and post-install metrics to maximize ROI.
Adjust's SpendWorks unifies ad spend tracking across networks, enabling marketers to collect, validate, and analyze cost data with performance metrics. It supports multiple collection methods including API integrations, scheduling, web-to-mobile spend, and data imports. Key features include 40+ network integrations, automated scheduling with multiple daily pulls, and granular mapping for cross-channel campaigns. This solution reduces manual effort, improves data accuracy, and supports smarter budget allocation for better ROAS.
In 2025, non-game apps surpassed games in revenue, with total in-app spending hitting $167B. APAC publishers drove a $2.58B increase in gaming revenue. Short Drama and AI Assistant categories saw explosive growth, while Blinkit, Shopee, and DeepSeek led their sectors. For ad ops, this signals shifting user attention toward lifestyle, commerce, and AI tools, creating new inventory opportunities beyond gaming.
Remarketing measurement relying solely on clicks misses view-through attributions, cross-platform journeys, and fraud, leading to misallocated budget and eroded efficiency. AppsFlyer advocates for independent, cross-channel, fraud-protected signals to unify attribution, deduplicate claims, and provide real-time postbacks for better optimization. Key data points include 50% higher paying user share for shopping apps running remarketing, 20% higher ROAS for gaming teams with unified attribution, and vulnerability to click flooding. Actionable takeaway: invest in a robust measurement foundation to capture true campaign influence and scale efficiently.
Mobile performance marketing succeeded by building a signal infrastructure—independent attribution, fraud protection, and structured postbacks—that fed optimization-grade data to ad platforms. Web measurement has lagged, relying on fragmented, platform-reported metrics. As AI-driven campaign optimization becomes standard, bad signals amplify errors. AppsFlyer’s Web Performance Measurement brings mobile-grade signals to web: independent attribution, server-to-server postbacks, cross-platform closed loops, and unified cost/revenue measurement. For ad ops decision-makers, this means one truth source, actionable optimization signals across networks, and complete omnichannel ROAS visibility—enabling AI to compound advantage, not error.
TikTok's full-funnel automation, integrating creative, media, and measurement, addresses fragmentation in AI tools. Brands using Smart+ and GMV Max see improved ROAS and CPA. Case studies show Naturium achieved 3.5x ROAS, PHLUR 191% higher ROAS, and Leatherman 97% revenue increase. Symphony and Content Suite enable scalable, authentic content. The key is pairing automation with strategic storytelling.
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