We curate most relevant posts about Account-based Marketing on LinkedIn and regularly share key takeaways. This edition provides a comprehensive overview of the current state and future direction of Account-Based Marketing, emphasising a critical shift toward strategic alignment and the integration of artificial intelligence. Multiple authors stress that successful ABM must move beyond generic tactics to focus on human-centred experiences and hyper-personalisation across the entire customer journey, with several noting the evolution to account-based experience. A key theme across the texts is the necessity of deep collaboration between sales and marketing to define the ideal customer profile, ensure account readiness, and act on meaningful, transparent signals and intent data. Furthermore, the discussions highlight the increasing role of AI in scaling precision, generating targeted content, and improving measurement, though authors caution that technology must always be supported by robust strategy and human judgement. The 6sense Breakthrough ’25 conference also underscored these themes, focusing on the AI-powered go-to-market shift, unveiling the platform’s new AI capabilities, RevvyAI, and showcasing innovations such as competitive takeout intelligence, customizable signals, and buying group modeling, all pointing toward a more predictive and orchestrated future for ABM. This podcast was created via Google NotebookLM.

We curate most relevant posts about AI in B2B Marketing on LinkedIn and regularly share key takeaways. This edition provides a comprehensive overview of the integration and strategic impact of Artificial Intelligence (AI) across sales, marketing, and Go-To-Market (GTM) operations. A central theme is the rise of AI agents and specialised tools, which are shown to augment human capabilities and automate repetitive tasks, leading to significant productivity gains and cost savings, such as replacing or boosting the capacity of Sales Development Representatives (SDRs). However, many sources caution that AI is an accelerator of existing processes, emphasising that success requires a robust GTM foundation, clean data, and a focus on solving strategic problems rather than just adopting new technology. The texts also highlight the shift from basic prompt engineering to context engineering and the importance of human oversight, trust-building, and original content creation in an increasingly commoditised AI landscape, while noting that AI-driven efficiency is becoming the industry standard for survival. This podcast was created via Google NotebookLM.

We curate most relevant posts about Social Selling on LinkedIn and regularly share key takeaways. This edition provides a comprehensive collection of actionable insights and strategic advice focused on optimising social selling and personal branding on LinkedIn. Several experts stress the importance of profile clarity, showcasing value, and focusing on authentic relationships rather than aggressive sales tactics. A major theme is the growing significance of employee advocacy, where empowering staff to share their experiences boosts brand trust and reach, as company posts often underperform compared to individual posts. Furthermore, the texts discuss changes to the LinkedIn algorithm, which is increasingly favouring quality, in-depth content and strategic engagement, with some sources suggesting AI-driven search and content ranking will prioritise expertise and thoughtful contributions. Finally, there is guidance on tactical messaging, recommending concise communication, genuine interaction, and consistent effort to generate leads and opportunities effectively. This podcast was created via Google NotebookLM.

We curate most relevant posts about Channel Marketing on LinkedIn and regularly share key takeaways. This edition provides a comprehensive overview of the modern partner ecosystem and channel strategy, emphasising a shift from traditional transactional models to collaborative, ecosystem-led growth. Several authors stress the imperative of internal alignment within companies, focusing on redesigning attribution models, incentives, and systems to reward collaborative co-selling motions rather than direct sales only. Key tactical advice includes using tools like the RACI Matrix for clarity in B2B alliances and implementing focused, high-impact outbound partner motions for startups. Furthermore, there is significant discussion on the impact of technology, such as AI and Generative AI, which supercharges co-innovation, changes partner visibility through data-driven digital presence, and necessitates a proactive move from reactive to predictive partnership frameworks. Finally, multiple contributors highlight the importance of customer-centricity, clear offering packaging, and strategic partner prioritization based on capacity, commitment, and capability to ensure measurable and sustainable revenue generation. This podcast was created via Google NotebookLM.

We curate most relevant posts about MarTech Insights on LinkedIn and regularly share key takeaways. This edition offers an extensive overview of the rapid transformation of the MarTech landscape, driven primarily by the integration of Artificial Intelligence (AI) and the critical need for unified data. Multiple sources assert that AI is moving beyond simple automation to become an orchestration layer that governs entire marketing ecosystems, with Salesforce’s Agentforce and Data Cloud frequently highlighted as foundational components for real-time, personalised experiences. A major recurring theme is the widespread challenge of achieving MarTech ROI, which is often hindered by fragmented data silos, poor tool adoption, and a lack of operational clarity or governance. Experts stress that success depends on fixing flawed processes and achieving cross-functional alignment (especially between marketing and data teams) before investing in new technology, viewing AI as an amplifier of existing strategy, not a solution for systemic issues. 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 provides a multi-faceted overview of the rapidly evolving Go-to-Market (GTM) landscape, with a heavy emphasis on the emerging, yet debated, role of the GTM Engineer. Many authors define GTM Engineering as a crucial function that bridges silos between sales, marketing, and RevOps to build scalable, automated revenue systems, often leveraging tools like Clay and n8n for orchestration. A significant theme is the ubiquitous, yet frequently under-utilised, nature of AI in GTM, with several experts stressing that successful adoption requires strong data foundations and clarity of direction over merely buying shiny new tools. Conversely, some insights suggest that the need for complex GTM Engineers might soon become obsolete as AI agents and integrated platforms make infrastructure invisible. Finally, other sources explore critical GTM fundamentals, such as achieving internal coherence and alignment (often lacking in startups) and the importance of focusing on customer buying dynamics, retention, and a strong organisational culture. This podcast was created via Google Notebook LM.

We curate most relevant posts about Field Marketing on LinkedIn and regularly share key takeaways. This edition provides an extensive overview of the modern events industry, focusing heavily on strategic planning, technology integration, and measurable outcomes. Several authors highlight the shift of event planning from a transactional role to a strategic executive priority and stress the importance of early and intentional planning to achieve sustainable growth and brand equity. A major theme is the leverage of Artificial Intelligence and data analytics to enhance efficiency, personalise attendee experiences, and provide clear Return on Investment (ROI) attribution for both sales and marketing efforts. Practical advice covers essential operational rules, the necessity of clear communication with technical partners, and the importance of in-person engagement and genuine connection despite the rise of digital tools. 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 an overview of Account-based Marketing (ABM) trends and insights collected from relevant LinkedIn posts during a two-week period. The summary highlights that ABM operations are concentrating on disciplined orchestration, high-quality data, and leveraging AI to enhance execution without compromising buyer trust. Key areas of focus include refining ABM strategy by shifting from pursuing Marketing Qualified Leads (MQLs) to compounding revenue outcomes and utilising rich data for deeper research before engaging in personalised outreach. Furthermore, the insights stress the necessity of early and clear alignment between Sales and Marketing to ensure pipeline health, while advocating for AI as an augmentation tool rather than a replacement for human judgment. The summary concludes by noting that measurement is moving away from vanity metrics toward revenue impact and win-rate analysis, with new product features focusing on intent visibility and ad personalisation. This podcast was created via Google NotebookLM.

We curate most relevant posts about Strategic B2B Marketing on LinkedIn and regularly share key takeaways. This edition provides an overview of the Global ABM Conference in London, focusing heavily on the evolving landscape of Account-Based Marketing (ABM). A central theme is the strategic shift of ABM from merely a marketing tactic to an entire operating model or Account-Based Mindset, necessitating tight Sales and Marketing alignment. Speakers and attendees widely discussed the critical role of Artificial Intelligence (AI) in enabling scale, automation, and hyper-personalisation, while repeatedly emphasising that human creativity, authenticity, and storytelling must remain at the core to cut through the noise of AI-generated content. Other key takeaways included the growing importance of contact-level ABM, addressing the complexity of large buying groups, and the need to secure executive sponsorship to prove ABM's impact on revenue. This podcast was created via Google NotebookLM.

We curate most relevant posts about AI in B2B Marketing on LinkedIn and regularly share key takeaways. This edition offers an extensive overview of the integration of Artificial Intelligence (AI) into Go-To-Market (GTM) and sales strategies, highlighting a major operational shift. A significant focus is placed on the evolution of sales roles, with many sources arguing that AI agents will not replace sales representatives but will instead act as "superpowers" or "multipliers" to enhance productivity, particularly by automating research, prospecting, and data entry. Several discussions centre on the rise of AI Sales Development Representatives (SDRs), emphasising the need for precision, quality over volume, and ethical usage, while warning against AI impersonating humans or damaging brand reputation. Furthermore, the sources explore the necessity for AI-native GTM systems and robust data infrastructure, suggesting that success hinges on providing AI with rich, contextual data rather than merely bolting AI tools onto broken legacy systems, and that marketing must invest in new areas like AI Engine Optimisation (AEO) and strategic, human-led content. This podcast was created via Google NotebookLM.

We curate most relevant posts about Social Selling on LinkedIn and regularly share key takeaways. This edition provides an extensive overview of current LinkedIn strategies for personal branding and social selling, universally stressing the importance of authenticity, consistency, and targeted engagement over simple volume or vanity metrics. Several contributors emphasise that success lies in building genuine relationships and providing valuable, unpolished expertise, often through commenting and direct messaging, as opposed to relying on constant posting or viral trends. While some acknowledge metrics like the Social Selling Index (SSI), others dismiss it as irrelevant, urging users to focus instead on business outcomes such as pipeline velocity and conversion rates. The texts also highlight the shift in branding from corporate logos to employee advocacy and human storytelling, which is crucial for attracting talent, investors, and customers in the B2B space. This podcast was created via Google NotebookLM.

We curate most relevant posts about Channel Marketing on LinkedIn and regularly share key takeaways. This edition offers an extensive overview of the modern partner ecosystem and go-to-market (GTM) strategies, emphasising that partnerships are now the most efficient channel for business growth. Several experts highlight the critical shift from transactional vendor relationships to strategic, co-creative collaborations that focus on shared outcomes, with successful execution requiring clear alignment, effective co-selling playbooks, and continuous enablement. A major theme across the posts is the profound impact of Artificial Intelligence (AI), which is streamlining partner operations, automating lead matching, and enhancing partner management platforms like PartnerStack AI to reduce administrative burdens and increase return on investment (ROI) visibility. Finally, the sources stress the need for better measurement and tooling to overcome "ecosystem visibility crises" and prove the financial value of partnerships to executive leadership, especially in specialized markets and large-scale cloud environments like Microsoft and AWS. This podcast was created via Google NotebookLM.

We curate most relevant posts about MarTech Insights on LinkedIn and regularly share key takeaways. This edition offers an extensive overview of the evolving MarTech landscape, primarily driven by the acceleration of agentic AI and the critical need for robust data governance. A central theme is the widespread acknowledgment that many organisations are suffering from MarTech sprawl and complexity, which requires a focus on stack simplification and removing unused tools before adding new ones. Experts advocate for fixing foundational issues such as siloed data and lack of a single source of truth prior to implementing AI, warning that automating bad data will only amplify revenue leaks and bad decisions. The sources frequently discuss the emerging agentic orchestration layer as the new central component of the modern digital ecosystem, connecting data and experience platforms like Salesforce Data Cloud and Adobe Real-Time CDP to enable sophisticated, cross-channel personalisation. Finally, there is a strong emphasis on the ethical challenges of data use, with some voices criticising practices like website deanonymisation and warning that AI agents will fundamentally reshape customer experience and brand relationships. 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 offers extensive insights into the evolving landscape of Go-To-Market (GTM) strategies and the emerging role of the GTM Engineer, particularly in the B2B SaaS sector. A central theme is the shift from traditional sales methods to data-driven, automated systems, often leveraging AI and orchestration tools like Clay and n8n to achieve scalable, efficient outbound efforts and pipeline generation. Experts stress the importance of moving beyond generic approaches to focus on signal-based prospecting and unreasonable clarity in problem-solving and AI prompting. Furthermore, there is considerable discussion about the true nature of GTM Engineering, with some arguing it is a distinct, strategic hybrid role—the architect of revenue systems—while others view it as a rebranding of existing RevOps or Sales Ops functions. Finally, multiple contributors highlight the need for cross-functional alignment, market research, and ruthless focus for successful GTM execution, especially as companies scale beyond the initial $10M ARR milestone. This podcast was created via Google Notebook LM.

We curate most relevant posts about Field Marketing on LinkedIn and regularly share key takeaways. This edition provides an extensive overview of current trends and strategic best practices in event planning, with a strong focus on maximising return on investment (ROI) in B2B contexts. A core theme highlights the shift from merely collecting contacts or focusing on aesthetics to achieving measurable business outcomes such as pipeline generation and closed deals, often by securing pre-booked, high-intent meetings rather than relying on general foot traffic. Experts frequently stress the importance of strategic pre-event and post-event alignment between sales and marketing teams, emphasising that context and fast, personalised follow-up are critical for converting leads effectively. Furthermore, several sources discuss enhancing the attendee experience through intentional design, creating memorable moments, integrating wellness, and leveraging technology like AI to support operational efficiency and deeper human connection, rather than replacing it. Finally, the sources touch on logistical and financial challenges, including the need for flexible budgeting, understanding tax implications, and preparing for event mishaps with a strong crisis management plan. 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 is brought to you by our partner B2B Marketing. Don't miss out on their Global ABM Conference on 5th November: https://events.b2bmarketing.net/abmconference/home These sources provide a comprehensive overview of the current state and future direction of Account-Based Marketing (ABM) and Account-Based Everything (ABE), drawing heavily on insights from industry practitioners. The key themes revolve around the necessity of tight alignment between marketing and sales with shared target lists and metrics, and the move towards human-centric and contact-level targeting over broad, generic campaigns. Multiple contributors stress the importance of intent signals, AI, and robust data for hyper-personalisation, while also cautioning against attribution challenges and the risk of over-automating crucial relationships. Finally, the texts discuss the evolution of ABM into a full Account-Based Everything strategy that integrates sales, marketing, and customer success across the entire customer lifecycle, often referencing the significance of platforms like LinkedIn and Demandbase for execution. This podcast was created via Google NotebookLM.

We curate most relevant posts about AI in B2B Marketing on LinkedIn and regularly share key takeaways. This edition provides a multifaceted overview of the rapid integration of Artificial Intelligence (AI) within Go-to-Market (GTM) strategies, particularly in sales and marketing. A dominant theme is the tension between AI for efficiency and automation, such as AI Sales Development Representatives (SDRs) and workflow agents, versus the irreplaceable need for human authenticity and context. Many authors contend that AI should serve as a force multiplier or copilot, handling research, data processing, and repetitive tasks, while human professionals focus on building trust, strategic nuance, and genuine relationships to avoid sounding like "robots." Furthermore, the discussions from the ANA Masters of Marketing Conference reinforce that successful AI adoption requires a solid data foundation and a shift in focus from theoretical possibilities to measurable, value-driven outcomes that align marketing activities with overall business growth. This podcast was created via Google NotebookLM.

We curate most relevant posts about Social Selling on LinkedIn and regularly share key takeaways. This edition offers extensive advice on social selling and personal branding on LinkedIn, emphasising that success stems from building trust and providing genuine value rather than self-promotional pitches. A recurring theme is the importance of the Social Selling Index (SSI) score, a metric LinkedIn uses to quietly grade users on their professional brand, network quality, engagement with insights, and relationship-building efforts, directly impacting visibility and organic reach. Experts stress the need for a human, authentic approach to content, with strong opinions and stories being more effective than generic posts or excessive AI use, especially in light of LinkedIn’s new 360Brew algorithm which prioritises relevance. Furthermore, multiple sources highlight the power of employee and executive advocacy as a critical strategy for B2B companies to amplify their brand and build credibility, often outperforming corporate pages. This podcast was created via Google NotebookLM.

We curate most relevant posts about Channel Marketing on LinkedIn and regularly share key takeaways. This edition offers extensive insightsinto the evolving landscape of B2B partnerships, particularly emphasizing the impact of Artificial Intelligence (AI) and hyperscaler cloud platforms. Several authors stress the importance of strategic alignment, mutual trust, and robust enablement for partner activation and scalable growth, noting that relying solely on incentives and tools is insufficient. Key discussions focus on optimising content for AI discovery, redefining SaaS partnership economics for equitable value creation, and the critical need for integrating partnerships directly into the core GTM strategy rather than treating them as an afterthought. The reports highlight that cloud marketplaces and co-sell motions are accelerating, with marketplace revenue expected to grow significantly, demanding that companies prioritise these channels and adequately compensate sales teams for partner-led deals. Furthermore, the sources cover practical advice, such as improving résumés for partnerships roles and the necessity of using positive reinforcement to drive desired co-sell behaviours. This podcast was created via Google NotebookLM.

We curate most relevant posts about MarTech Insights on LinkedIn and regularly share key takeaways. This edition provides a comprehensive overview of the current state and future direction of Marketing Technology (MarTech), with a dominant focus on the disruptive integration of Artificial Intelligence (AI). A central theme is the necessity of moving beyond simply purchasing tools to designing intelligent systems and redesigning workflows based on clear business outcomes and clean, integrated data. Several authors highlight the challenge of data quality and alignment across sales, marketing, and operations (RevOps), noting that AI cannot fix fundamentally broken processes. The texts also discuss the evolution of platforms like Customer Data Platforms (CDPs) and the shift from monolithic systems to modular, composable architectures for better personalization and efficiency, while also noting the increasing importance and potential high salaries for Marketing Operations (MOps) professionals who master this complex, data-driven environment. This podcast was created via Google NotebookLM.