Meta AI can now analyze and optimize Meta Ads campaigns

Meta AI analyzes Meta Ads performance, recommends campaign optimizations, and automates report generation for advertisers. Meta is expanding Meta AI capabilities for small businesses. Advertisers can now directly connect their Meta ad campaigns and Google Workspace data to the AI assistant to analyze campaign results, optimize them, and automate reporting. The new features are gradually rolling out in Meta AI across the web, mobile, and desktop versions. As a result, paid media professionals get another AI-powered tool to analyze performance and identify potential campaign changes. Why it matters Meta is integrating generative AI directly into everyday paid media workflows. The ability to analyze campaign data through a conversational interface, identify low-performing creatives, evaluate audiences and budgets, and automatically generate reports can significantly reduce manual analytical work. At the same time, a key question will be the accuracy of Meta AI’s recommendations—especially considering that the tool will essentially be advising advertisers on how to spend money more effectively on Meta's own ad platform. What's new Advertisers can connect Meta AI directly to their Meta ad campaigns and Google Workspace tools, including Gmail, Docs, Sheets, and Slides. This allows Meta AI to gather more business context when answering questions about ad performance. Marketers can also analyze campaign data conversationally instead of manually digging through individual reports. Campaign optimization Meta AI can analyze Meta Ads performance and generate recommendations for subsequent changes that advertisers should make to their campaigns. Meta notes that the assistant can identify which audiences drive the best results, spot patterns among top-performing creatives, flag ads that have likely fatigued for the audience, and pinpoint areas where campaign budgets could potentially be spent more efficiently. Creative analysis The update also gives advertisers another way to evaluate creative performance. Meta claims that instead of simply showing best- or worst-performing ads, its AI can discover patterns in successful content and help explain why certain creatives stopped resonating with the audience. This can help advertisers determine which concepts to scale, refresh, or replace. Budget analysis Meta AI can also evaluate where ad spend delivers results and identify areas where budgets could potentially be allocated more efficiently. As a result, AI-generated optimization recommendations become more tightly linked to campaign data. However, advertisers still need to independently assess whether suggested changes align with profitability metrics, incrementality, and broader business goals. From analysis to reporting Meta AI can transform insights into presentations, documents, and spreadsheets, combining business data with other available context. For paid media teams, this can cut down on the manual work needed to turn ad campaign analysis into client reports, internal decks, or performance spreadsheets. Automated recurring analysis Advertisers can also set up recurring tasks and reminders, turning one-off campaign reviews into an ongoing workflow. For example, instead of manually requesting the same performance breakdown every time, a marketer can configure Meta AI to regularly analyze business results and prepare updated reports. Google Workspace integration Connecting Google Workspace can be especially useful for advertisers whose campaign planning, reporting, and business information already live in Gmail, Docs, Sheets, and Slides. Combining these sources with Meta Ads data gives the assistant more context when generating reports or answering performance-related questions. Meta AI is becoming more deeply embedded into paid media workflows, moving beyond general AI assistance into Meta Ads performance analysis, optimization recommendations, and automated reporting. Read this article in Ukrainian.