TL;DR: AI is helping marketing teams move faster, reduce manual work, and operate more efficiently. But a growing concern among marketers is that companies may be replacing the very entry-level …
TL;DR: Ask marketers what the most impressive AI marketing use cases are, and surprisingly few mention writing blog posts or generating social media content. Instead, many of the biggest productivity …
TL;DR: The short answer is yes—but not for free. Recent discussions among B2B marketers and founders suggest that “free” lead generation is really a tradeoff. If you aren’t spending money …
TL;DR: Conversations across the B2B sales and marketing industry have raised an important question: are traditional lead databases losing their value? The better answer is that static contact databases are …
TL;DR: Marketing attribution is getting harder because the B2B buying journey is no longer linear, visible, or easy to track. Buyers are influenced by AI search, LinkedIn posts, communities, podcasts, …
TL;DR: B2B marketing is becoming more complex, not less. As companies add more tools, more data sources, more AI workflows, and more pressure to prove revenue impact, marketing operations is …
TL;DR: For years, B2B demand generation focused on driving prospects to company websites. In 2026, buyers are increasingly researching products without ever clicking through to a vendor’s site. AI search, …
TL;DR: Traditional targeting filters like industry, company size, revenue, job title, and tech stack still matter, but they do not always show which accounts are ready to buy right now. …
TL;DR: Lead generation is no longer about finding one perfect channel. Real marketers are using a mix of AI-assisted research, LinkedIn outreach, cold email, paid ads, lead magnets, communities, and …
TL;DR: Cold DMs still work in 2026, but generic pitching does not. Real marketers say the biggest mistake is leading with a service instead of a relevant reason to start …
