AI means marketers don’t need all the answers, but instead must ask the right questions and have the taste and experience to vet AI’s suggestions. Without the right tools or talent to fact-check responses, AI will “mansplain” to you, speaking confidently about things it doesn’t truly understand.
AI will change what makes customers feel special or seen as personalized marketing becomes cheap, ubiquitous, or even uncanny. Marketers have to thread the needle to come off as clever but not creepy.
But when applied with proper caution and creativity, AI is a massive force multiplier for small teams—it will allow them to refocus on strategy and empathy while AI handles the execution at scale. In turn, that could shift the makeup of teams, from including lots of junior employees implementing a top-down strategy to having fewer, more creative teammates experimenting and iterating with AI. Those who fail to adapt to using AI may find themselves obsolete: past shifts in technology were slower, but these new tools are proliferating too quickly to let employees ride out the rest of their careers relying on traditional skills.
Tofu and one of our investors, SignalFire, recently assembled a roundtable of CMOs from late-stage and public companies. Our goal was to define how AI is changing the pillars of marketing. Here are the top insights.
Finally, one surprising secondary effect of AI is that it’s creating an “authenticity vacuum” that businesses can fill by doing marketing that AI can’t: events. As customers get more skeptical of AI-personalized marketing, atoms-based real-world marketing such as events carry more weight for building trust and deepening relationships. And with remote work leading fewer people to get their social needs met by office life—and long-distance business travel shifting towards Zoom—it’s become easier to get people to attend local events, where you can envelop a prospect in your brand.
Discover the top AI marketing tools for 1:1 ABM campaigns in 2025, and see why Tofu leads in personalization, multi-channel automation, and ROI.Introduction
Here is a breakdown of the best AI tools for multi-channel B2B marketing campaigns.
For B2B marketers, generative AI is no longer optional—it’s essential. ChatGPT offers broad capabilities at a low cost. Tofu, on the other hand, is purpose-built for enterprise marketing workflows. Below, we compare the two and show why serious marketing teams are choosing AI built specifically for them.
Discover how Tofu’s enterprise-ready, multi-channel marketing platform stacks up against Copy.ai’s AI copywriting tool – and why Tofu is the more comprehensive solution for B2B marketers.
Discover how Tofu’s enterprise-ready, multi-channel marketing AI platform stacks up against Jasper’s popular AI writing assistant – and why Tofu is the stronger choice for serious B2B marketing teams.
Tofu vs Mutiny: Which ABM platform comes out on top? Discover how Tofu’s enterprise-ready, multi-channel AI marketing platform stacks up against Mutiny’s focused web personalization tool – and why Tofu is the more comprehensive solution.
Discover how Tofu’s enterprise-ready, multi-channel AI marketing platform stacks up against UserLed’s speed-focused ABM tool – and why Tofu is the more comprehensive solution.
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.
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
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