3 roles every marketing leader needs now

3 roles every marketing leader needs now

As organizations invest heavily in martech and personalization, marketing leaders face a familiar challenge — turning those investments into real business impact. Despite increasingly sophisticated tools, many teams struggle to realize martech’s full potential, often because critical talent and expertise are missing. The solution lies not in the technology alone, but in the roles and …

Salesforce buys Qualified to accelerate its AI‑driven GTM strategy

Salesforce buys Qualified to accelerate its AI‑driven GTM strategy

Salesforce is making another move to turn its “agentic enterprise” vision into reality — this time by acquiring Qualified, a long-time partner focused on AI-driven sales engagement. Announced this week, the deal brings Qualified’s real-time AI agents directly into Salesforce’s Agentforce platform. These agents specialize in the early stages of customer interaction — chatting with …

How CreativeOps keeps AI-driven content from stalling

How CreativeOps keeps AI-driven content from stalling

Your team finally rolled out AI tools across the content pipeline. Everyone expected campaigns to move faster and creative bottlenecks to fade. Instead, the slowdown took a different form. Writers are waiting for approvals. Designers are correcting AI-generated assets that missed brand rules. Review cycles expanded because teams lack shared standards for AI-ready creative. The …

From SEO to GEO: How marketing leaders stay visible in AI-driven search by Contentful

From SEO to GEO: How marketing leaders stay visible in AI-driven search by Contentful

Does it feel like your organic traffic is disappearing? You aren’t imagining it. AI Overviews and answer engines are sidelining classic SEO results.  To stay visible, brands need to adapt – fast. The good news: you don’t need to rewrite your entire SEO playbook. With a few smart tweaks, you can shift from SEO to GEO …

Marketing mix modeling has a usage problem, not a tech problem

Marketing mix modeling has a usage problem, not a tech problem

Marketing mix models aim to answer the marketer’s billion-dollar question: where should you spend your budget? Yet most organizations build models and still struggle to translate their outputs into decisions anyone feels confident making. The problem isn’t how advanced the model is. It’s how organizations use it and what they feed into it. The real …