Marketecture: Get Smart. Fast.
Marketecture: Get Smart. Fast.
Ari Paparo
Fluency’s Mike Lane on Automating Digital Ad Ops, AI Scale, and Execution Infrastructure
17 minutes Posted Apr 20, 2026 at 10:00 am.
Intro & Guest Welcome
What is Fluency?
Digital Advertising Operating System Explained
Who Uses Fluency? (Brands vs Agencies)
Real Example: Launching TikTok at Scale
Smart Automation & Data-Driven Campaign Logic
AI vs Automation in Ad Ops
Introducing Muse AI
Automated Reporting & AI-Generated Video Summaries
Cross-Channel Advertising Challenges
Sell-Side & Media Company Use Cases
AI’s Impact on Creative Production Costs
Vision: Scaling to $100B in Ad Spend
Biggest Market Challenge: AI Overload
Competitive Advantage & Ecosystem Role
Lightning Round & Fun Close
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17:23
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Show notes
Mike Lane, CEO of Fluency, explains how automation and AI are transforming digital ad execution at scale. Learn how brands and agencies save time, reduce errors, and scale campaigns across channels.
Takeaways
Fluency positions itself as a digital advertising operating system, automating the full execution layer of campaigns.
The platform eliminates manual ad ops work, saving up to 92% of time and clicks through automation.
It enables massive-scale execution, such as launching hundreds of TikTok accounts instantly instead of taking years to do manually.
Brands and agencies use Fluency to do more with constrained budgets and limited headcount.
AI (via Muse) enhances workflows with automated reporting, insights, and even video summaries for clients.
The platform supports rule-based automation, allowing campaigns to react dynamically to data like weather, inventory, or occupancy.
Cross-channel execution is unified, helping teams manage budgets and performance across platforms in one system.
Media companies use Fluency to scale advertising services for small businesses efficiently through automation and AI-generated creative.
AI is lowering creative costs dramatically, making high-quality ads accessible even to small advertisers.
The biggest market challenge today is AI confusion and decision paralysis among businesses.
Chapters
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