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Archive

Measuring Thought Leadership Quality

Evaluating thought leadership quality goes beyond engagement metrics, focusing instead on the depth and impact of the content. A hierarchy of five levels, from basic explanation to proprietary insights, provides a framework for scoring content’s intrinsic quality, especially in institutional finance. This approach enables companies to tailor thought leadership to strategic goals, aiming to shift audience perceptions and drive impactful decision-making.

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The Lies of Conventional Wisdom

Conventional wisdom often hides brutal lies that distort marketing’s true purpose—such as prioritizing demand generation over trust-building or dismissing long-form content in B2B decision-making. These myths justify shortcuts and self-serving practices, undermining genuine thought leadership. Breaking free from these lies allows marketers to create deeper connections, foster meaningful engagement, and drive real innovation.

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Transcending the Interview

Effective thought leadership requires more than just standard interview techniques—it demands a collaborative, conversational approach. Acting as a thinking partner, not just an interviewer, allows deeper ideas to emerge, leading to more insightful and engaging content. By fostering epiphanies and guiding thought leaders through meaningful conversations, writers can craft compelling narratives that resonate with both the leaders and their audiences.

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Messaging, Meaning, and Impact

Crafting impactful messaging requires more than just perfecting words—it’s about shaping perceptions, inspiring action, and fostering genuine connections. To ensure success, focus on solving real problems, avoid the trap of internal consensus, and stress-test your messages against tough critics. By embracing critical thinking and pushing beyond power dynamics, your strategic messaging will resonate far beyond the boardroom.

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Generative AI Past, Present, and Future

Generative AI is disrupting communication by relying on formulaic writing, but human insight will still be valued in high-stakes industries. In the long term, AI-driven decisions could make traditional marketing content obsolete.

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