Facebook updates its advertising policies for blockchain, cryptocurrency, and financial products. Starting today, ads about blockchain technology, industry news, education, or cryptocurrency events no longer require pre-approval. However, promoters of cryptocurrency exchanges, mining software/hardware still need approval.
From June 5, ads for contracts for difference (CFDs) are prohibited due to their complexity and potential harm. ICOs and binary options remain banned. All ads must comply with policies and Community Standards.
Facebook updates crypto ad policy: blockchain tech, news, education, events no longer need pre-approval. CFDs banned from June 5. ICOs and binary options still banned. Cryptocurrency exchanges and mining products still require review.
Google is testing new AI-powered ad formats in Search using Gemini models. Conversational Discovery ads answer specific queries with tailored creative, while Highlighted Answers surface relevant sponsored recommendations. AI-powered Shopping ads generate custom product explainers, and Business Agent for Leads provides real-time chatbot interactions. The Direct Offers pilot expands with promotion bundling, native checkout, and travel deals. 75% of users make faster decisions with AI Mode. These innovations shift ads from static listings to helpful, conversational experiences, building trust through independent AI explanations and clear sponsorship labels.
Google is introducing new ad formats powered by Gemini models for AI Mode in Search. These include Conversational Discovery ads, which answer specific user queries with tailored creative, and Highlighted Answers, which surface relevant ads within AI-generated recommendations. Additionally, AI-powered Shopping ads provide custom product explainers, and Business Agent for Leads offers chatbot interactions for lead generation. The Direct Offers pilot is expanding with promotional bundling, native checkout, and travel partner integration. For ad ops decision-makers, these innovations emphasize personalization, transparency with independent AI explanations, and seamless conversion paths.
TikTok and Salesforce expand partnership with integrations across Agentforce Sales, Marketing, Commerce, and Data 360. Key benefits: real-time lead syncing from TikTok Lead Gen ads into Salesforce CRM, automated product catalog sync for commerce campaigns, first-party data activation for targeting and lookalike audiences, and AI-powered workflows. This enables advertisers to streamline operations, improve conversion tracking, and turn TikTok discovery into measurable customer relationships.
In 2025, AI agents will automate ad production and UA, reducing personnel needs. Privacy concerns persist despite Google's cookie reversal, driving contextual targeting and new identifiers. Advertisers will explore CTV and in-app inventory via cost-per-outcome deals. M&A activity ramps up, with deal volume up 118% YoY. AI-generated creative becomes crucial as targeting narrows, enabling scalable, varied ad creatives.
Data collaboration platforms are consolidating under ad-centric owners, threatening measurement neutrality. Publicis bought LiveRamp, WPP acquired InfoSum, and LiveRamp absorbed Habu, leaving AppsFlyer as the only major independent player. Brands must vet partners for conflicts: does the platform or its parent benefit from ad spend? Without independence, budget allocation and ROAS calculations may reflect agency incentives over actual performance. Key questions: revenue from ads, cross-channel attribution consistency, data governance, and auditable methodology.
Mobile video ads use reach, brand awareness, and video views objectives to achieve different goals: efficiency, recall, or engagement.
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.
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