As a marketing professional, you know that connecting with your audience is the key to success. One of the most powerful techniques for doing so is personalization. By providing personalized experiences, you can increase customer engagement and satisfaction, drive more conversions, and build stronger brand loyalty. And in 2023, personalization is more important than ever before.
Why is personalization so crucial in 2023? For starters, customers are demanding it. They expect brands to know who they are, what they want, and how they like to interact. If you're not providing personalized experiences, you're likely to lose their attention and loyalty. In fact, a recent study found that 80% of customers are more likely to make a purchase from a brand that provides personalized experiences.
But personalization is also becoming easier to achieve thanks to advancements in AI technology. By using generative AI algorithms, marketers can analyze customer behavior, preferences, and historical data to generate personalized recommendations for products, content, and services. They can also analyze customer data and behavior to generate personalized subject lines, body copy, and calls-to-action for email marketing campaigns. And they can even use AI to create personalized products, ads, chatbot interactions, landing pages, and social media posts.
The benefits of personalization are clear. By tailoring your marketing efforts to each individual, you can:
So how can you get started with personalization in 2023? Here are a few tips:
Personalization is the future of marketing, and in 2023, it's essential for success. By using AI to provide personalized experiences, you can connect with your audience in a more meaningful way and drive marketing results.
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:
6 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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