
Last updated: April 13, 2026
The rise of technology like generative AI in B2B marketing is reshaping the skills required for marketers. Ipso's 2023 B2B Marketing Benchmark Report delves into this digital shift and highlights the importance of CMOs and their teams adapting to remain competitive. In this blog post, we will explore these concepts further and offer practical tips for marketing teams to embrace this new wave of technology and stay ahead of the curve.
Generative AI, while still in its adoption phase across many B2B marketing organizations, is heralding a new era of content generation and campaign management. As noted in the Ipso Report, about 411 B2B marketing leaders cited as current users of generative AI, are anticipating an increase in its usage within the next year. This shift towards AI-driven marketing tools underscores the urgent need for marketers to grasp the fundamental capabilities and implementation strategies of AI technologies.
With generative AI poised to reshape the B2B marketing landscape, the report reveals a compelling narrative around the skills that marketing leaders find indispensable in this new era:
1) Marketing Technology Mastery
The rise of AI mandates a mastery over marketing technology, with over half of the B2B marketing leaders emphasizing its importance. Understanding the intricacies of AI tools and their application in streamlining marketing operations is crucial for driving efficiency and innovation.
2) Creative Strategy and Execution
Despite the technical prowess required to navigate AI tools, the art of marketing remains vital. The ability to develop creative strategies that resonate with audiences is more relevant than ever, especially when AI tools can analyze data to predict trends and customer preferences.
3) Data Analytics and Insights
As AI technologies provide unprecedented access to data, the ability to dissect and derive meaningful insights from this data is a valuable competency. Marketers adept at data analytics can leverage AI tools to refine targeting strategies and enhance customer engagement.
4) Adaptability and Continuous Learning
The dynamic nature of AI technologies demands an ongoing commitment to learning and adaptation. Marketers must stay abreast of the latest AI trends and best practices to creatively integrate these tools into their strategies.
5) Ethical Considerations and Human Touch
Lastly, in an AI-driven world, the importance of maintaining ethical standards and a human-centric approach cannot be understated. As AI expands its footprints across marketing campaigns, ensuring these technologies are used responsibly and empathetically is paramount.
For CMOs navigating this shift, the journey requires not just adapting to new tools but also fostering a culture of innovation, ethical usage, and continuous learning within their teams. Generative AI, with its potential to revolutionize content generation and customer engagement, presents both opportunities and challenges. Embracing these tools while cultivating the necessary skills within your team can elevate your organization's marketing strategies into new realms of creativity and efficiency.
By cultivating a blend of technical proficiency, creative acumen, and ethical awareness, CMOs can harness the power of generative AI to forge deeper connections with their audience and drive sustained business growth.

A comparison of the top AI tools for multi-channel B2B marketing campaigns in 2026, including Tofu, Mutiny, UserLed, Jasper, Copy.ai, and ChatGPT, evaluated on channel coverage, personalization, and automation.

Tofu, an AI-native B2B marketing platform, vs. ChatGPT for marketing: Tofu delivers full-funnel campaign execution with multi-channel personalization, while ChatGPT is a general-purpose writing assistant with no marketing workflow features.

Tofu, an AI-native B2B marketing platform, vs. Copy.ai: Tofu generates full personalized campaign assets across channels from one platform, while Copy.ai focuses on fast, template-driven GTM copy generation for individuals and small teams.

Tofu, an AI-native B2B marketing platform, vs. Jasper: Tofu orchestrates personalized multi-channel ABM campaigns from one platform, while Jasper is a fast AI writing assistant for standalone content like blog posts and ads.

Tofu, an AI-native B2B marketing platform, vs. Mutiny for ABM: Tofu orchestrates personalized campaigns across email, web, ads, and social from one platform, while Mutiny specializes in website personalization and landing page optimization for target accounts.
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Tofu, an AI-native B2B marketing platform, vs. UserLed for ABM: Tofu delivers full-stack personalized content and multi-channel campaign orchestration, while UserLed focuses on rapid microsite and ad personalization for target accounts.

Just-in-time communication replaces outdated sequences by using real-time signals and AI to deliver timely, relevant, and personalized outreach across channels to improve engagement, reduce wasted effort, and focus on meaningful interactions over spam.

In 2024, we spoke with 14 of the best B2B CMOs and CROs. Here are their best tips, tactics, and guides to managing your GTM as you plan for 2025.

Webinars have re-emerged as a top B2B lead generation channel, with 73% of marketers calling them the best source of high-quality leads. Learn how AI-native platforms like Tofu automate the entire webinar lifecycle from promotion to post-event follow-up.
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."
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"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."
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"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."
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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
Sign up now to receive your copy the moment it's released and transform your ABM strategy with AI-powered personalization at scale.
Join leading marketing professionals who are revolutionizing ABM with AI