The article outlines five key trends for 2025: AI agents will automate processes like app/game production, UA campaign development, and customer service, reducing the workforce needed for billion-dollar companies from 10,000 to potentially 500. Privacy remains paramount, with ~40% of the open web non-addressable via cookies, pushing adoption of anonymized IDs or contextual targeting. Advertisers will diversify into CTV and in-app, accepting higher CPMs in favor of cost-per-outcome models (e.g., $20 for a first purchase).
M&A activity surges—Q3 2024 deal volume rose 118% YoY, with notable acquisitions like Outbrain-Teads ($1B) and Omnicom-IPG ($13.5B)—signaling renewed confidence. Finally, creative takes center stage as targeting becomes constrained; AI enables rapid generation of hundreds of ad variations, making novel, scalable creative a competitive advantage. Key data points include 40% cookie-less web, 118% M&A growth, and CPMs of $50-$100 for in-app.
Actionable takeaways: invest in AI for automation, prioritize privacy-compliant targeting, explore CTV and outcome-based in-app buys, monitor M&A opportunities, and leverage AI for creative testing.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
At MAU 2026, the industry agreed that attention, not production, is the bottleneck. Cross-platform web-to-app attribution is now achievable with AppsFlyer's mobile-grade measurement extending to web, giving ad ops a unified view. AI is in production, with Square's team shipping six live workflows. Web-to-app is the most efficient top-of-funnel for app businesses, and retention overtakes acquisition. Ad ops must prioritize clean signal layers and incrementality testing over single-metric attribution.
Non-gaming marketers like e-commerce, fintech, and subscription services are increasingly turning to mobile advertising, driven by rising costs on walled gardens. They are shifting from CPI to outcome-based models (e.g., ROAS, CPA), leveraging ML to find quality users beyond contextual placements. Key takeaways: ad platforms must enable direct revenue attribution, faster feedback loops, and product-first creative to serve these advertisers. The era of growth at any cost is giving way to quality-focused, intentional scaling.
The article highlights three key consumer app trends for 2026: social features becoming retention drivers (e.g., Spotify messaging, Tinder Double Date), advanced retention mechanics from gaming (e.g., streaks, collections), and AI as an embedded utility (e.g., Gauth's Study Converter). For ad ops, these trends offer new hooks for acquisition and retention campaigns, such as aligning with social competition or event-based LiveOps. Marketers should shift from generic messaging to use-case clarity for AI features.
AI is reshaping consumer behavior, with 80% of Google searches ending without a click and half of consumers using AI for product research. This disrupts traditional channels like search (CPC up 10-25%) and affiliate marketing (revenues down 7%). Meanwhile, mobile apps and CTV offer stable, high-engagement alternatives. Advertisers should diversify away from disrupted channels, targeting the independent app ecosystem where Day 30 ROAS can be 116% higher. Key metrics: organic direct traffic share (target >51%) and disrupted channel spend share (target <34%).
The article explores the strategic use of CPI and ROAS campaigns on Mintegral, emphasizing that CPI is ideal for new apps to gather initial user data, while ROAS suits mature apps focused on high-value users. Running both in parallel can confuse algorithms and reduce efficiency. A key insight is the 'bidding challenge': bid high enough for impact but not overspend. Mintegral's Hybrid ROAS optimizes for both IAA and IAP, using oCPI bidding. Decision-makers should prioritize one model based on app stage and use tools like sub-source management to refine performance.
Short-term ROAS and long-term retention often conflict because early conversions don't guarantee long-term value. To balance both, extend the optimization window to 7-14 days, use mid-funnel signals to bridge gaps, and align optimization with monetization model (IAP vs. IAA). Shift focus from early signals to retention as campaigns stabilize, and define clear payback windows upfront to avoid misleading optimization.
Unity Ads launches D28 IAP ROAS campaigns and simplified ROAS onboarding, both powered by Vector. D28 campaigns capture long-term user value beyond Day 7, measuring revenue up to 28 days post-install. Early partners like Homa saw 14% uplift in D28 ARPU and 63% increase in D28 retention. Simplified onboarding provides direct dashboard access, clearer data readiness validation, and a transparent 'Learning' phase status until live. These updates enable ad ops to optimize for higher retention and long-term IAP value with reduced setup complexity.
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The article explores the strategic use of CPI and ROAS campaigns on Mintegral, emphasizing that CPI is ideal for new app...
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Mintegral renewed SOC 2 Type 2 and SOC 3 certifications, confirming adherence to security, confidentiality, and privacy ...
Short-term ROAS and long-term retention often conflict because early conversions don't guarantee long-term value. To bal...