Adrian Janon

My view: media’s next AI edge is commercial operations. The practical starting point isn’t a bigger demo. It’s a 90-day agenda to map the revenue system, baseline KPIs & test bounded use cases. #AI #Media

The stat that stays with me: subscriptions per person rose 32% while budgets stayed flat. In that environment, media can’t rely on audience gains alone. Monetization precision matters more. #Media #AI

I’ve learned to be skeptical of AI wins that stop at the dashboard. If thresholds, ownership & escalation paths don’t change, the business usually doesn’t move either. Insight alone rarely captures yield. #AI #Leadership

One misstep I’ve seen: treating monetization friction like a data problem. It’s often a workflow problem. Ads, subs, licensing & finance may all have signals, but they move on different clocks. #RevenueOps #Media

If I were resetting a sports revenue model today, I’d start with 4 moves: map revenue, instrument every surface, design offers around moments & run 1 live pilot. I’ve learned rights matter less than yield orchestration. Which camp: moments or inventory?

The fan watches the match, checks odds, reacts on social & shops merch in the same minute. Most operators still treat that as separate revenue pools. One audience. Fragmented yield. Lower total monetization. Agree or nah?

Live sports value shows up in emotional spikes. Most sales models still package it in blunt blocks. That’s the mismatch. When peak moments are priced like average moments, yield gets left behind. Which camp: moments or inventory?

I’ve sat in rooms where everyone celebrated headline ad pricing. I learned to be careful. An $8M spot can still hide weak total yield if the same fan is split across streaming, sponsorship, commerce & betting. Tell me I'm wrong

I used to think premium rights naturally produced premium monetization. I was wrong. When 96% of the top non-political programming is sports, demand is obvious. The gap is commercial design, not audience quality. Agree or nah? ngulam.com/2026/03/19/liv…

Great growth mechanics die in the QBR because "buzz" can't prove it pays the bills. To win, you must map participation signals (shares/artifacts) directly to revenue proxies (churn/ARPU). If you can't connect the talk to the spend, you don't have an engine—you have a stunt.

Stop treating personalization as "better marketing"—treat it as an artifact factory. Fans don't share clips; they share themselves. When you give them a personalized "This is my version" artifact, your audience becomes your distribution. Stop shipping ads; start shipping loops

Stop chasing big events; start funding tiny, time-bound decisions. "Watch later" is the enemy of growth. When you add a vote or a deadline, you swap passive consumption for identity. People don’t just watch—they participate. Engagement scales when the mechanic matters

Stop treating "Minutes Watched" as your growth lever. Completion only means a show was "fine," but "fine" doesn't stop churn. The new unit of competition is the share trigger. If your content lacks participation signals, you’re just chasing lagging indicators.

GenAI isn’t trimming pennies—it’s fueling massive gains across media subsectors. Think 50% cost cuts in localization or 40% revenue boosts for dubbed releases. Ready to see the bigger economic impact? ngulam.com/insights/genai… #GenAI #MediaEconomics

Pre-production, production, post—each step can drain resources if mismanaged. Our framework for the Video Value Chain reveals where AI can slash costs and unlock revenue across every stage. Explore more: ngulam.com/insights/genai… #VideoValueChain #AI

Rising budgets and flat subscriber growth keeping you up at night? The battle isn’t just about bigger productions—it’s about smarter monetization. Step up your strategy amid user-generated competition: ngulam.com/insights/genai… #MediaEconomics #StreamingWars

Ever felt like massive content budgets aren’t delivering enough ROI? Our new insights help C-suite leaders in M&E find real answers—beyond just churning out more shows. Dive deeper for smart growth strategies: ngulam.com/insights/genai… #MediaExecutives #GenAI

A studio cut pre-production from 18 months to 6 with one AI pilot. The series generated 40% more revenue than projected. While platforms spend billions on content volume, the real winners are optimizing distribution and monetization systems. . ngulam.com/insights/genai…

I once saw a COO of a media company losing half a day searching for the ‘right’ version of a file. Sound familiar? Fragmented workflows crush creativity & cost revenue. Let’s unify the supply chain so we focus on innovation, not file hunts. ngulam.com/insights/a-str…

Boost SaaS Revenue: 27% EBITDA Gains with Hybrid Monetization pe.ngulam.com/p/27-gains-are…