Best of LinkedIn: Strategic B2B Marketing

We curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways.

This edition focuses on the modern go-to-market landscape which is currently undergoing a significant shift as systems and automation begin to outpace the human talent required to manage them. This transition has birthed the GTM engineer, a highly specialised role that bridges the gap between technical data architecture and commercial revenue strategy. While artificial intelligence is delivering measurable gains in sales productivity, most organisations still struggle with fragmented data and outdated CRM models that hinder autonomous tools. Success now requires a move away from isolated outbound campaigns toward integrated, multi-channel architectures that prioritise process over raw headcount. Ultimately, the industry is moving towards a tooling-centric approach, where the primary challenge lies in fixing the underlying data infrastructure rather than simply adding more software layers.

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We curate most relevant posts about Field Marketing on LinkedIn and regularly share key takeaways.

This edition examines the evolving landscape of field marketing and event strategy, emphasising a shift from mere logistics to revenue-driven outcomes. Industry experts advocate for data-led decision making, where success is measured by pipeline generation and audience quality rather than total attendance figures. Emerging technologies like AI and MCP connectors are highlighted as essential tools for automating operational burdens and uncovering expansion opportunities within attendee data. Despite this digital surge, the texts argue that human connection remains the primary accelerator for complex business deals. Contributors also provide practical guidance on resume improvement, accessible event design, and the strategic value of white space in programming. Ultimately, the collection posits that integrated event intelligence and creative, participant-focused experiences are the keys to modern marketing success.

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We curate most relevant posts about Account-based Marketing on LinkedIn and regularly share key takeaways.

This edition examines the modern landscape of Account-Based Marketing (ABM) is currently defined by a tension between rapid AI automation and the fundamental need for organisational alignment. While AI agents are drastically reducing the time and cost required to execute complex, personalised campaigns, these tools often outpace a company's ability to manage them effectively. Industry experts argue that the success of the discipline relies less on software acquisition and more on a unified operating model that bridges the gap between sales and marketing teams. High-quality intent data and CRM hygiene serve as the backbone of these efforts, yet they require human judgment to interpret the context behind buying signals. Furthermore, as automated content becomes ubiquitous, authentic human creativity and high-touch tactics, such as bespoke gifting, are re-emerging as the primary ways to differentiate a brand. Ultimately, the transition toward "agent-based marketing" suggests that while technology can scale reach, sustainable growth only follows when ABM is treated as a cross-functional business strategy rather than a mere marketing tactic.

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We curate most relevant posts about AI in B2B Marketing on LinkedIn and regularly share key takeaways.

This edition examines the profound shift towards AI-driven marketing and sales, specifically highlighting the transition from traditional search to Generative Engine Optimization (GEO). Practical applications such as automated competitor research, agentic outbound prospecting, and streamlined content workflows demonstrate how teams are increasing efficiency. However, several contributors warn that these agentic systems fail without clean, honest data and a clear human-led strategy. The texts also explore how B2B buyers now form shortlists within AI platforms, making brand visibility and third-party citations more critical than owned website traffic. Ultimately, the collection argues that CMOs must pivot from campaign execution to orchestrating complex, AI-mediated ecosystems to remain competitive. This evolving landscape requires businesses to treat AI agents as a primary audience while maintaining consistent messaging across the entire digital web.

This podcast was created via Google NotebookLM.

We curate most relevant posts about Social Selling on LinkedIn and regularly share key takeaways.

This edition examine the shifting landscape of LinkedIn strategy in 2026, highlighting a move away from generic automation toward authentic professional expertise. A major update to the platform’s AI-driven ranking system, often referred to as 360Brew, now prioritises niche authority and meaningful conversation over traditional engagement metrics like likes or hashtags. Experts recommend adopting employee-led content and direct messaging frameworks to bridge the gap between social visibility and quantifiable revenue. While generative AI remains a powerful tool for research, the consensus warns against "AI slop," as the algorithm increasingly rewards human storytelling and unique perspective. Successful B2B teams are now integrating intent signals with targeted outreach to build trust throughout long sales cycles. Ultimately, the reports suggest that consistency and native platform features are the most reliable methods for sustaining reach in a crowded digital environment.

This podcast was created via Google NotebookLM.

We curate most relevant posts about Channel Marketing & Partner Ecosystem Insights on LinkedIn and regularly share key takeaways.We at Frenus supports enterprise marketing teams in unlocking the full potential of their customer data with the help of AI. You can find more info here: https://www.frenus.com/usecases/your-crm-is-holding-your-campaigns-back---and-ai-can-finally-fix-it

This edition highlights a fundamental shift in partner ecosystems as businesses transition toward an AI-first operating model. Strategic leaders emphasize that success now depends on specialised workflows and agentic AI capabilities rather than generalist positioning or technical certifications. Key insights suggest that operational execution, particularly through cloud marketplaces and precise attribution data, has replaced soft relationship metrics as the primary driver of executive support. Modern frameworks like OpenAI’s new partner network and Microsoft’s FY27 incentives illustrate a move toward rewarding measurable customer outcomes and advisory-led services. Furthermore, the texts argue that automated friction removal and commercial enablement are essential to maintaining partner mindshare in an increasingly complex and integrated market. Ultimately, the transition from systems of record to systems of action requires a sophisticated orchestration of data, incentives, and human trust

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We curate most relevant posts about MarTech Insights on LinkedIn and regularly share key takeaways.

The provided sources explore a fundamental shift in the MarTech landscape, where the focus is moving from isolated tools to integrated infrastructure and data clouds. Industry experts highlight how Customer Data Platforms (CDPs) are evolving, with traditional models being challenged by composable architectures and "lakehouse" solutions like Databricks. Artificial Intelligence is a central theme, shifting from a mere feature to a core architectural layer that requires robust governance and clean data to avoid significant financial loss. There is a strong emphasis on the human element, noting that successful implementation depends more on operational maturity, organizational culture, and leadership than on the technology itself. Additionally, the reports track a maturing market where infrastructure is expanding while specialized point solutions are being consolidated. Ultimately, these insights suggest that the next competitive advantage lies in intelligence independence and the ability to connect complex systems into a unified growth engine

This podcast was created via Google NotebookLM.

We curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways.

This edition focuses on the rapid emergence of GTM Engineering as a critical new discipline that bridges the gap between software development and revenue operations. This shift focuses on building automated systems and agentic stacks rather than simply increasing headcount or purchasing isolated software tools. By leveraging AI-driven orchestration and signal-based outbound strategies, companies are achieving significant pipeline growth and scaling revenue more efficiently. The reports highlight a transition towards outcome-based pricing and long-term revenue models that prioritise post-sale value over initial acquisition. Key data points indicate a massive surge in specialised hiring for professionals who possess both technical coding skills and strategic business acumen. Ultimately, the sources illustrate how modern businesses are replacing traditional playbooks with integrated data environments to maintain a competitive edge in an AI-saturated market.

This podcast was created via Google Notebook LM.

We curate most relevant posts about Field Marketing on LinkedIn and regularly share key takeaways.

We at Frenus supports clients with identifying target attendees for events, crafting outreach that cuts through the noise, and driving qualified registrations through strategic LinkedIn engagement. You can find more info in the description: https://www.frenus.com/usecases/linkedin-event-outreach-attendee-acquisition

This edition collectively examines the evolving landscape of corporate events and field marketing in 2026, shifting the focus from mere logistics to strategic revenue generation. Experts argue that successful trade shows depend on extensive pre-show preparation and disciplined follow-up rather than expensive booth designs or passive lead collection. The texts highlight a growing preference for intimate, community-driven micro-experiences and distributed event strategies over traditional, high-volume "mega-conferences". Emerging AI tools and platforms are showcased as vital for automating lead capture, enriching data, and proving measurable ROI to stakeholders. There is also a strong emphasis on human-centric design, where authenticity, cultural intelligence, and emotional connection are viewed as the primary drivers of buyer confidence. Ultimately, the sources suggest that events are no longer standalone marketing activities but integrated business motions that must align sales, marketing, and leadership to build lasting trust.

This podcast was created via Google Notebook LM.

We curate most relevant posts about Account-based Marketing on LinkedIn and regularly share key takeaways.

This edition provides a comprehensive overview of modern B2B growth strategies, focusing heavily on the evolution of Account-Based Marketing through artificial intelligence. Industry experts argue that traditional marketing funnels are failing, necessitating a shift from vanity metrics toward revenue-aligned systems that target specific high-value accounts. The texts highlight how agentic AI workflows now automate complex tasks, including account qualification, buying committee enrichment, and personalised content creation at scale. Practical case studies demonstrate that sales and marketing alignment, coupled with intent data and tiered outreach, can dramatically accelerate pipeline velocity. Furthermore, the contributors emphasise that while AI enhances execution, human judgment remains vital for defining ideal customer profiles and building genuine professional relationships. Collectively, the articles serve as a technical and strategic guide for B2B leaders navigating a landscape where AI-driven search and data privacy are reshaping buyer behaviour.

This podcast was created via Google NotebookLM.