Most B2B SaaS companies run LinkedIn like Google: bottom-funnel ads to cold audiences, CPL as the north star, "book a demo" to strangers. Then they blame the platform when it doesn't work.

Philip Ilic has analysed $830k+ in LinkedIn ad spend across 25+ accounts. His argument: LinkedIn is a demand generation platform, not a demand capture platform. Success requires a completely different architecture, one that builds retargeting pools at the top, nurtures warm audiences across 180-day windows in the middle, and converts through conversation ads and signal-based outbound at the bottom.

Phil breaks down the full-funnel LinkedIn system he's built for high-ACV SaaS companies, why 60-70% of budget should go to demand gen before a single "book a demo" ad runs, and how to turn LinkedIn from an expensive experiment into a predictable pipeline driver.

Most GTM teams run paid ads, organic content, and outbound in three separate silos. Nobody connects the dots. That's the problem.

Philip Ilic runs a four-stage GTM system where everything feeds everything else. Thought Leader Ads warm up a tightly defined account list. Organic posts from the founder and 3-5 team members add compound touchpoints. LinkedIn ad engagement data (which companies are watching your content) feeds directly into warm outbound sequences. Sales outreaches not to cold strangers, but to accounts who've seen your content 10, 15, 20 times.

Phil breaks down the exact architecture: how to build the account list, how to calculate the budget for saturation, how signal-based outbound tools like Clay and Trigify plug into the system, and why cold outbound is dying while warm outbound is just getting started.

The failure pattern is almost always the same: small budgets spread across disconnected campaigns, no MOFU strategy, CPL measured after 30 days, and landing pages that convert at 1-2%.

Philip Ilic has audited dozens of LinkedIn ad accounts and the same structural mistakes show up every time. He walks through the five most common breakdowns, from targeting too broadly to ignoring 180-day retargeting windows to under-bidding conversation ads, and explains exactly what a fixed account looks like.

He also shares the metric most advertisers ignore: clicks to landing page as the primary measure for Thought Leader Ads, and why CTR is often the worst thing to optimise for.

LinkedIn almost never gets last-click credit. A prospect sees your Thought Leader Ads 15 times over three months, searches your company name on Google, books a demo through organic, and the attribution model says LinkedIn did nothing.

Philip Ilic argues this is one of the most expensive measurement mistakes in B2B SaaS. He explains how influenced pipeline actually works, why self-reported attribution ("how did you hear about us?") is the most underused signal in GTM, and how to build a reporting model that gives leadership an honest picture of what LinkedIn is actually doing for pipeline, before they pull the budget.

Demand gen became the dominant narrative in B2B marketing. Lead generation was declared dead. Phil thinks the pendulum swung too far.

For sales-led SaaS companies with high ACV and long sales cycles, the right move is a hybrid: demand gen to warm up the market, lead capture to accelerate the buying journey for people who are ready. With modern nurture systems and faster follow-up workflows, lead gen is quietly outperforming pure brand-building for the right companies.

Phil shares where lead gen fits in the funnel now, what modern lead programs actually look like (spoiler: not gated whitepapers to cold audiences), and how to use LinkedIn's Lead Gen Forms and conversation ads together without tanking pipeline quality.