The article highlights a significant shift in consumer behavior toward AI assistants, with implications for digital advertising. Key findings include: ChatGPT's stickiness, averaging 13 monthly sessions per user, comparable to social platforms like X and Reddit. However, Google still leads in consistent usage at 18 days/month, indicating AI assistants have not yet replaced traditional search for information needs.
The most notable trend is the diversification of ChatGPT use cases: in Q2 2024, the top five work and education categories accounted for nearly 50% of prompts, but by Q2 2025 that share fell to 37%, while lifestyle and entertainment prompts grew from 22% to 35%. Niche categories like conversational, business, personal finance, and travel saw fastest growth. Despite this shift, work and education still represent 60% of prompts, and their absolute volume continues to rise.
For ad ops decision-makers, the takeaways are clear: 1) AI assistants offer high engagement similar to social platforms, making them viable channels for brand messaging. 2) The expanding range of use cases allows for more granular targeting—ads can be contextually placed alongside diverse prompts (e.g., travel, finance). 3) The persistent dominance of work and education categories suggests continued opportunities for B2B and productivity-related advertising.
4) As consumers become more comfortable with AI, integrating AI assistant data into digital strategies is essential. The report recommends leveraging tools like Sensor Tower’s AI Chatbot Insights for deeper visibility. Overall, the data underscores that AI assistants are becoming mainstream utilities, and advertisers should adapt to capture this engaged and diverse audience.
Banking apps are vital digital channels requiring granular measurement to optimize user acquisition, engagement, and retention amid strict privacy regulations. Key challenges include measuring sensitive conversions, preventing fraud, and personalizing experiences without compromising compliance. Granular event tracking, deep linking, and anti-fraud solutions are essential. Banks must measure early-funnel milestones, re-activate dormant users, and leverage owned media for cost-effective re-engagement. Advanced attribution methods like SKAdNetwork, probabilistic modeling, and data clean rooms help navigate privacy changes. Effective measurement drives long-term customer value and validates mobile's impact on business outcomes.
OpenAI's Instant Checkout and Apps SDK transform ChatGPT into an operating system for human-app interaction, blurring lines between search, apps, and commerce. For ad ops decision-makers, this means a shift from app installs to intent-driven conversations, requiring new attribution models focused on completed actions, not downloads. Brands must build API-first, conversation-ready services, comply with ChatGPT standards, and optimize for agentic commerce, where measurement and feedback loops become critical for targeting and personalization.
Generative AI app downloads hit 1.7B in H1 2025 (+67% HoH), with IAP revenue near $1.9B (double HoH). ChatGPT dominates at 63% of revenue, but Asia (80% growth) and emerging apps like DeepSeek signal market shifts. For ad ops, this means expanding inventory in fast-growing regions and competing with AI chatbots for user attention.
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.
Most marketing AI fails due to poor data foundations: fragmented, unstructured, or inconsistent data leads to flawed insights. AI needs governed, contextual, and real-time data to function reliably. For ad ops decision-makers, ensuring data completeness, consistency across sources, and governance is critical before scaling AI. Richer, well-documented data improves attribution, fraud detection, and automation. The key takeaway: AI is only as smart as the data it consumes.
AppsFlyer now attributes AI-driven app traffic on both sides of the funnel: earned organic discovery across 8 AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Grok, Copilot, Manus, DeepSeek) and 13 search engines, plus paid campaigns via a new ChatGPT Ads integration using OpenAI's Conversions API. For ad ops teams, the practical win is deduplication and incrementality: SEO and AEO performance can be viewed side by side, and paid versus organic splits on the same platform (e.g., ChatGPT) reveal the true lift of ad spend rather than cannibalized organic conversions. Setup is low-lift, leveraging existing OneLink, App Links/Universal Links, and Smart Script infrastructure, with no added cost.
Meta launches Business AI, a turnkey sales concierge for WhatsApp, Messenger, Facebook/Instagram ads, and websites. Early adopters like Julep (13% ROAS lift) and Solgaard (6x higher conversion rates) show strong results. Setup is stress-free—AI learns from existing posts and ads. Business AI is free for ads and affordable for messaging/websites. For ad ops decision-makers, this means scalable, 24/7 personalized customer engagement that drives conversions and lowers costs, with easy integration and no technical expertise required.
LLMs like ChatGPT are becoming a primary discovery channel, driving higher-intent traffic than traditional search. Marketers face challenges in visibility, attribution, and optimization. Key strategies include writing for AI with concise answers, using UTM tracking, leveraging deep linking (e.g., AppsFlyer OneLink), implementing schema markup, and establishing web-to-app attribution flows to measure and optimize AI-driven growth.
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