
Last updated: April 13, 2026
As a marketing or growth leader at an enterprise SaaS company, you know how important it is to acquire new customers and retain existing ones. But with so many channels and touchpoints to manage, it can be difficult to keep up with customer demands and deliver personalized experiences at scale. That's where AI comes in. By leveraging AI in your marketing efforts, you can analyze customer behavior, generate personalized recommendations, and improve customer support. Here are some actionable tips for using AI to improve your customer acquisition and retention efforts:
The first step to improving your marketing efforts with AI is to analyze customer behavior. By tracking customer interactions across all channels and touchpoints, you can identify patterns and insights that can inform your marketing strategy. AI-powered analytics tools can help you make sense of this data by automatically identifying trends and patterns and providing actionable insights. For example, you can use AI to identify which marketing channels are driving the most conversions, which customer segments are most engaged, and which product features are most popular.
Personalization is key to improving customer engagement and retention. With AI, you can generate personalized recommendations for products, content, and services based on customer behavior and preferences. This can help you increase conversions and improve customer satisfaction. For example, you can use AI to recommend products or features based on a customer's past behavior, or to personalize the content they see on your website or in your email campaigns.
Customer support is a critical component of customer retention. With AI-powered chatbots, you can provide personalized support to customers 24/7, without the need for human intervention. Chatbots can answer common questions, provide product recommendations, and even handle basic support requests. By using AI to power your chatbots, you can provide more accurate and helpful responses, which can improve customer satisfaction and retention.
A/B testing is a common practice in marketing, but it can be time-consuming and labor-intensive. With AI-powered testing tools, you can automate the testing process and get more accurate results in less time. AI can help you identify which marketing campaigns are performing best and which elements of your campaigns are driving the most conversions. This can help you optimize your marketing efforts and improve your customer acquisition and retention rates.
AI can be a powerful tool for improving customer acquisition and retention in enterprise SaaS companies. By analyzing customer behavior, personalizing the customer experience, improving customer support, and optimizing your marketing campaigns with AI, you can increase conversions, improve customer satisfaction, and build stronger brand loyalty.

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