Advanced ABM Strategies: Turning Data, AI, and Intent Insights into Revenue-Driven Engagement

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

This edition offers extensive insights into the modern practice of Account-Based Marketing (ABM), consistently emphasising a shift from broad campaigns to highly strategic, data-driven systems focused on revenue outcomes. Several authors discuss ABM failures, attributing them to a lack of sales-marketing alignment, a focus on activity metrics over pipeline conversion, premature technology adoption, and treating ABM as a short-term campaign rather than a long-term strategy. A major theme is the integration of AI and intent data to enhance precision, with new tools like ScenarioABM, Clay, and Demandbase highlighted for enabling timely, hyper-personalised outreach and overcoming data silos. Furthermore, there is strong guidance on optimising LinkedIn advertising and content creation by moving away from default settings, segmenting audiences based on performance, and leveraging real customer questions to ensure relevance and budget efficiency.

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