For those not familiar with Jon Miller, his stellar reputation in the B2B marketing sphere undeniably precedes him. He co-founded Marketo, one of the most successful marketing automation platforms, and is now the CEO of Demandbase, a trailblazing account-based marketing company.
In this AMA, Jon spoke about artificial intelligence's role in shaping personalized marketing campaigns, the rise of intent data, and much more.
Jon’s extensive marketing experience, blended with a keen understanding of how to meaningfully integrate AI, gives his perspectives unique weight.
AI Takes B2B Personalization to New Levels
Jon emphasized that personalization goes beyond a marketing luxury to becoming a critical necessity for effective B2B strategies.
By unlocking the potential of intent data, marketers can gain a well-rounded perspective of customer behavior and nuances. Jon stressed that AI isn’t limited to sifting through massive data sets; it can, more importantly, identify patterns and trends that form valuable customer insights for personalized messaging.
Additionally, AI can augment marketers' efforts in creating more effective and targeted marketing campaigns, helping construct powerful display ads based on real-time customer data and behavior.
AI’s Impact on Team Dynamics and Resource Accessibility
Jon also explored how AI affects team construction in marketing departments. Jon addressed the common fear that AI might eventually erase marketers' jobs. Emphatically, he believes that AI frees marketers to focus more on their work's strategic and creative aspects. Contrary to replacing humans, AI will drive efficiencies, turning marketing processes more straightforward and less time-consuming.
Miller recognized the marketers' need to develop proficiency in using AI tools, stating that the future of marketing will see a seamless blend of human creativity and artificial intelligence. Elaborating upon the notion of 'doing more with less,' he cited AI’s role in facilitating content creation, delivering accuracy, and saving humans from being bogged down by mundane data-driven tasks.
Looking Towards the Future
Jon wrapped up with a future-forward outlook on AI in marketing. Miller echoed the sentiment that AI is not just a fad but a transformative power that B2B marketers need to harness effectively. While AI has made great strides in marketing, Miller emphasized the need for marketers to embrace AI more wholeheartedly, learning to use it not as a crutch but an augmentative tool to boost their skills and capabilities.
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A playbook for 1:1 marketing in the AI era
"I take a broad view of ABM: if you're targeting a specific set of accounts and tailoring engagement based on what you know about them, you're doing it. But most teams are stuck in the old loop: Sales hands Marketing a list, Marketing runs ads, and any response is treated as intent."
"ABM has always been just good marketing. It starts with clarity on your ICP and ends with driving revenue. But the way we get from A to B has changed dramatically."
"ABM either dies or thrives on Sales-Marketing alignment; there's no in-between. When Marketing runs plays on specific accounts or contacts and Sales isn't doing complementary outreach, the whole thing falls short."
"In our research at 6sense, few marketers view ABM as critical to hitting revenue goals this year. But that's not because ABM doesn't work; it's because most teams haven't implemented it well."
"To me, ABM isn't a campaign; it's a go-to-market operating model. It starts with cross-functional planning: mapping revenue targets, territories, and board priorities."
"With AI, we can personalize not just by account, but by segment, by buying group, and even by individual. That level of precision just wasn't possible a few years ago."
This comprehensive guide provides a blueprint for modern ABM execution:
8 interdependent stages that form a data-driven ABM engine: account selection, research, channel selection, content generation, orchestration, and optimization
6 ready-to-launch plays for every funnel stage, from competitive displacement to customer expansion
Modern metrics that matter now: engagement velocity, signal relevance, and sales activation rates
Real-world case studies from Snowflake, Unanet, LiveRamp, and more
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