Struggling with LinkedIn Ads? Get real-time expert insights from AJ Wilcox, the world’s leading LinkedIn Ads specialist. Join an exclusive live strategy session, optimise your campaigns, and be featured on our podcast! Apply now – limited spots available!

Do you oversee substantial ad budgets on LinkedIn—$500K, $1M, or more? Have you ever wondered what LinkedIn is offering others in your position? Are you getting the best possible insights, tools, and service from your account rep?

Join us for an exclusive, invite-only roundtable where LinkedIn's top advertisers come together to share experiences and uncover the nuances of working with LinkedIn account representatives. This is your chance to discuss, compare, and level the playing field in a confidential, peer-led environment.

How can companies effectively market their products and services in 2024, given the challenge of reduced budgets and smaller teams? We will discuss marketing strategies in times of crisis, such as economic downturns and global conflicts, and the impact of emerging AI technologies on marketing.

Discover the secrets behind B2B brands that have cracked the code on Community Hacking. We’ll dive into how to create, nurture, and activate communities that drive growth, featuring actionable insights and examples of brands that turned peer networks into their biggest asset.

A direct exploration of one of Adzact’s strongest points of view: not every in-market account is worth pursuing, and not every high-fit account is currently showing intent. The episode contrasts short-term buying signals with deeper structural fit.

Core questions:

1. Why can high-intent accounts still be bad commercial targets?

2. What makes an account fundamentally “good fit” before it shows buying signals?

3. How should B2B teams combine fit, intent, and timing in their go-to-market strategy?

A practical episode on the rising cost and declining efficiency of LinkedIn as a default B2B growth channel. The conversation should unpack why costs are increasing, why targeting can be weaker than marketers assume, and how teams can diversify their media mix without losing B2B precision.

Core questions:

Why have LinkedIn leads become more expensive for many B2B teams?

Where does LinkedIn still work well, and where is it being overused?

What should marketers do instead if they need efficient demand creation at scale?

A discussion about the gap between marketing productivity and actual commercial growth. AI can help teams produce more content, launch more campaigns, and analyze more data, but that does not automatically create differentiated positioning, better targeting, or stronger demand.

Core Questions:

* Why does more marketing output not necessarily translate into more growth?

* What are the hard problems in B2B growth that AI does not automatically solve?

* How should marketing leaders avoid confusing efficiency with effectiveness?

A big-picture episode on the future of B2B marketing as execution becomes increasingly automated. The central argument is that brand, narrative, trust, taste, and market understanding may become more important precisely because the mechanics of marketing become easier to copy.

Core questions:

If AI commoditises execution, does brand become more important or less important?

What will separate high-performing B2B marketing teams from average ones by 2030?

How should marketers build brand in categories where buyers are rational, risk-averse, and under pressure to prove ROI?

A commercially sharp episode about wasted spend in B2B paid social: poor-fit accounts, irrelevant impressions, vanity clicks, broad targeting, and optimisation against the wrong signals. This should feel diagnostic and practical, with a clear link to improving pipeline quality rather than just reducing media waste.

Core questions:

Where does most wasted spend in B2B paid social actually come from?

Why do platforms optimise towards engagement rather than commercial fit?

How can marketers distinguish between cheap clicks, real demand, and future pipeline?

An episode about how AI and automation change demand generation without eliminating the need for human strategy. The conversation should position automation as a way to remove manual work while making human judgement around category, customer, creative, and commercial priorities more important.

Core questions:

What should demand generation teams automate, and what should they deliberately keep human?
How does the marketer’s role change when targeting, activation, and optimisation become more automated?
What is the human edge in a world where every competitor has access to similar AI tools?