This executive report provides a high-level recap of the discussion held during a meeting of B2B Senior Marketing Leaders on September, 12, 2024. The identities of the speakers have been protected to ensure confidentiality. The topics discussed were highly relevant to the attendees and covered various challenges and opportunities in the field of B2B high-ticket marketing.
Attendees create the agenda by bringing the topics they want to discuss.
1. Lead Generation: The attendees discussed the challenges of scaling lead generation programs effectively. They shared insights on successful strategies, including thought leadership articles, a psychological approach, product-specific campaigns, and webinars with partners. The importance of targeting the right audience and leveraging digital platforms like LinkedIn was emphasized.
2. Content Generation and AI: The attendees explored the impact of AI on content generation and the need to balance automation with human creativity. They discussed the challenges of maintaining authenticity and avoiding duplicate content. The importance of adding value and depth to content was highlighted, along with the potential of AI in asset tracking and workflows.
3. Trust Building and AI: The attendees raised concerns about building trust in an era of AI-generated content. They discussed the need for transparency and storytelling to differentiate between AI-generated and human-created content. The importance of adding value and depth to content was emphasized as a way to build trust with prospects.
Companies that had the greatest estimated monthly organic traffic loss from August 2023 to August 2024.
#14 - ZoomInfo, #25 - G2
Getting leads from these sources, just got significantly harder. Learn more: https://ahrefs.com/blog/biggest-traffic-losers/#top-25
1. Embrace AI: The attendees recognized the potential of AI in improving marketing efficiency and effectiveness. They recommended exploring AI tools for various marketing functions, such as content generation using knowledge-bases to deeply enrich content, digital asset tagging and tracking, and leveraging automations. Workflows are the emerging area to focus on which is projected to increase productivity 10-30x.
2. Focus on Value and Authenticity: The attendees emphasized the importance of retaining and deeping organizational knowledge, competitive intelligence, industry knowledge, and customer psychology to and value and engagement to content to differentiate from AI-generated content and competitors. It was recommended to inventory your top content and to use AI to enhance and update, rather than relying solely on new content creation.
3. Build Trust through Transparency: The attendees highlighted the need for transparency in AI-generated content. They recommended storytelling and showcasing the human element of the organization and customers to build trust with prospects. They also emphasized the importance of authenticity and avoiding duplicate content.
Q: How can AI be used for lead generation?
A: AI can be leveraged for various lead generation strategies, such as targeted campaigns, personalized content recommendations, and automated lead scoring. It can help identify and prioritize high-quality leads, improving the efficiency and effectiveness of lead generation programs and can be used for executive reports of peer cohorts;-)
Q: What are the challenges of AI-generated content?
A: Some challenges of AI-generated content include old and rehashed ideas, lack of authentic brand voice, duplicate content, and ensuring alignment with brand messaging. It is important to add value and depth to content using knowledge-bases to differentiate from pure AI-generated content to build trust with prospects.
Q: How can trust be built in an era of AI-generated content?
A: Trust can be built by being transparent about the use of AI in content generation and showcasing your humanity. Storytelling and showcasing real-life applications of the content is becoming more important than ever to generate trust.
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