Meta Verified expanded to businesses a year ago, offering a verified badge, impersonation protection, and account support. Survey data indicates that almost twice as many people trust a business with the Meta Verified badge. Case studies from Water Bear Photography, Outside Design Nature Hotel, and Mom Approved Miami highlight increased engagement and customer confidence.
New features being tested include advanced original content protection for Instagram Reels, where subscribers can request human review and get an 'Original by' label on reposts, enhancing discoverability. Another test involves in-app education prompts that notify users when a business is not yet verified, aiding trust decisions. Subscribers also benefit from in-feed recommendations and higher search ranking, driving audience growth and engagement.
For ad ops decision-makers, these developments signal improved brand safety and trust signals, potentially reducing ad fraud and increasing campaign effectiveness. The badge acts as a trust indicator, fostering higher engagement rates and better ROI. Advertisers should consider targeting verified accounts for partnerships or leveraging verified status for their own brands to maximize credibility.
Meta's focus on expanding these features suggests ongoing investments in ecosystem trust, making verification a key factor in future ad strategies.
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.
Meta is testing Reels trending ads, allowing brands to run ads after popular creator Reels with brand safety controls. New tools like Trends in Creator Marketplace and a Discovery API help businesses find real-time cultural insights and scale creator partnerships. Ad formats expand with partnership ads featuring one header partner, Facebook Live Partnership ads, and Threads video ads. Video Expansion on Facebook Reels uses AI to optimize video aspect ratios for better performance.
Adjust now supports Meta's Advanced Mobile Measurement (AMM), enabling advertisers to access non-aggregated last-touch attribution data for precise performance analysis. Starting July 21, 2025, Meta's Engaged Views will be treated with the same priority as clicks in Adjust's attribution waterfall, aligning Meta with other self-attributing networks. These updates improve transparency and reporting granularity, allowing ad ops teams to better measure campaign effectiveness. Opt-in is required for AMM.
AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlights rapid growth to a billion-dollar run rate, noting 80% of sales occur within 24 hours, proving incrementality. The pixel is standard, comparable to Meta and Google, and Shopify auto-appends data similarly. Foroughi emphasizes that the ad models are young but improving fast, and the web ad market offers massive opportunity. He urges investors to dig deeper and use AI tools to verify claims. The response underscores AppLovin's commitment to innovation and execution.
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.
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.
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.
Meta launches AI-powered creator discovery and content recommendations for Instagram's Creator Marketplace. Key updates include AI-driven suggestions for top-performing branded content in Ads Manager's Partnership Ads Hub, improved creator matching via affinity-based recommendations and keyword search, and new insights like playable Reels, email contact, partnership badges, and active ad visibility. These tools aim to simplify creator partnerships, enhance ad performance, and drive sales, with 53% of consumers more likely to purchase after creator promotion on Reels and US influencer spend projected over $10B by 2025.
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