Demand Generation

Q4 paid plans are locking now, and most of the levers marketers used to pull are gone—targeting, placements, bid adjustments, and increasingly creative are all decided by platform AI. What is left is the conversion signal you send back, and in most B2B programs that signal is a form fill of unknown quality. The algorithm has spent a year learning to buy more of exactly that. Here is how to fix the signal before the quarter’s budget compounds the error.

Reply rates across B2B outbound have been sliding for eighteen months, and most teams have responded by sending more. That is the wrong direction: sender reputation is a shared, finite resource, and the industry just spent two years spending it down. With Q4 pipeline pushes about to begin, here is what actually changed, why volume now compounds the problem, and the four things to fix before you turn the taps up.

The MQL is dying—not because it was a bad idea, but because the buying journey it was designed to measure no longer exists. Forward-thinking revenue teams are abandoning lead scoring entirely for fundamentally different approaches to qualification.

Traditional intent data told you who was researching topics. AI-powered buyer intelligence tells you who is ready to buy, why, and what message will resonate. The difference is transforming B2B demand generation.

B2B buying behavior has fundamentally shifted. Younger decision-makers, self-directed research, and consensus-driven purchases require new approaches from marketing and sales teams.

Account-based marketing has evolved significantly since its early days. Here’s what’s actually working for ABM programs in 2024 and what outdated practices to retire.

B2B influencer marketing has matured beyond early experiments. Here’s how to build programs that deliver measurable business impact rather than vanity metrics.

The brand versus demand debate creates a false dichotomy. Here’s why the best marketing strategies integrate both and how to find the right balance.