Facebook Ads Library vs LinkedIn Ads Library for Paid Active Campaigns

Favour Obasi-ike, MBA, MS demystifies the Facebook Ads Library and LinkedIn Ads Library, providing a detailed walkthrough on using them to research competitors, understand ad trends, and inspire ad creation. He emphasizes the distinction between B2C (Facebook/Meta) and B2B (LinkedIn) advertising, noting LinkedIn's higher cost and intent focus, while underscoring the importance of organic branding as a foundation for paid marketing. Favour Obasi-ike demonstrates how leading companies deploy these tools, showcases nuanced platform differences, and compares cost-per-click across Meta, LinkedIn, Google, and TikTok. He also shares new insights on LinkedIn's evolving platform—including paid advice sessions—and explores the promises and pitfalls of AI-powered website builders, warning of current technical limits while highlighting practical safeguards. Throughout, he connects performance measurement, ad copy, landing page optimization, and conversion intent, offering actionable advice on research, conversion strategy, and digital asset protection for marketers and SEO professionals alike.Who Is This For?This podcast episode is ideal for:Marketing professionals, digital strategists, and business owners interested in mastering social media advertising.Anyone seeking practical strategies on using Facebook and LinkedIn Ads Libraries for competitor research, inspiration, and campaign optimization.Individuals curious about the evolving role of AI in SEO, website development, and digital marketing.Key Moments & TimestampsIntroduction to Ads Libraries: difference, power, and practical links – 00:00:03How to use Ads Libraries for research and competitive insight – 00:01:43Detailed comparison of search/filter functionalities (LinkedIn vs. Facebook/Meta) – 00:02:41Limitations: lack of public ad performance analytics – 00:06:25Roleplay: live demonstration with Nvidia and King Kong Marketing – 00:09:15Analyzing ad count and demographic distinctions (B2B vs. B2C) – 00:13:29Using ad longevity and impression markers for campaign inference – 00:14:33Brand presence & organic/paid synergy on platforms – 00:15:28Cost comparison: LinkedIn, Facebook, Google, TikTok – 00:36:14, 00:40:52Best practices: building organic presence before paid campaigns – 00:34:32Discussion: AI website building (pros, cons, future-readiness) – 01:00:41Safeguarding your digital assets and monitoring website readiness – 01:03:09Takeaways: action steps for competitive research and campaign improvement – 01:19:40FAQsQ: What’s the biggest difference between Facebook and LinkedIn Ads Libraries?A: Facebook excels at B2C and provides wide targeting, while LinkedIn is tailored for B2B audiences and offers granular demographic filters (00:01:43, 00:13:29).Q: Can I see ad performance and conversion data in these libraries?A: No, performance analytics (like conversions or spend) are not publicly available, but ad frequency, longevity, and low-impression markers offer hints (00:06:25, 00:14:33).Q: Does Favour Obasi-ike recommend using AI website builders?A: They’re rapidly evolving, but typically restrict customization and future scalability; always check if your site is AI-ready and back up your code (01:00:41, 01:03:09).Q: How does LinkedIn compare on ad costs?A: LinkedIn is typically $2–$6 per click, more expensive than Facebook and Google, recommending high-ticket or B2B campaigns for ROI (00:36:14, 00:40:52).Action StepsResearch Your Competition: Use Facebook and LinkedIn Ads Libraries to analyze competitors’ creative, targeting approaches, and landing pages.Prioritize Organic Presence: Build robust, consistent brand profiles before investing in paid ads (00:34:32).Calculate Platform ROI: Factor in cost-per-click, sales cycle, and campaign intent before allocating budget.Test & Optimize Landing Pages: Ensure ad links align with campaign copy and optimize for conversions.Evaluate AI Tools Carefully: Use AI web builders with caution, regularly back up site code, and assess AI-readiness (01:03:09).