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.
Broad-spectrum B2B marketing is losing its effectiveness, and "wedge marketing" - targeting narrow niches with tailored content - is taking its place. Here's how Generative AI tools can supercharge your team's ability to leverage this strategy and create highly specific, resonant content at scale.
Learn how generative AI tools can help you create B2B community through hyper-personalized, high-value content that resonates with each segment of your audience, fosters meaningful conversations, and establishes your brand as a thought leader.
Here's how AI-powered content generation tools are revolutionizing B2B email marketing by enabling hyper-personalization, supporting Account-Based Marketing (ABM) strategies, and delivering educational, value-driven content.
See how forward-thinking CMOs are leveraging AI tools to create personalized content at scale, automate key processes, and own the new go-to-market playbook.
Discover how AI tools like Tofu can help vertical SaaS companies overcome the challenges of implementing Account Based Marketing (ABM) and drive growth. Learn how machine learning algorithms can identify target accounts, create personalized content, automate distribution across multiple channels, and measure campaign success, saving marketers time and resources while driving better results.
Key takeaways to help CMOs integrate AI into their team's workflows
Thanks to new AI innovations, it’s easier than ever to repurpose content and extend the lifetime of your favorite pieces. Here are some tools you should trial today.
Here’s our recap of the biggest trends from 2023 and some of our top predictions for 2024.
Effective repurposing involves more than just reformatting an old piece of content. Here's a step by step guide with some real world success stories.
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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