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.
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Discover how to implement a successful generative marketing strategy that will help you create personalized content, engage with customers in real-time, and optimize your campaigns for conversion.
Marketers are using AI to personalize content and recommendations for their audience through recommendation engines, email marketing, product customization, ad personalization, chatbots, personalized landing pages, and social media.
Account Based Marketing (ABM) is a go-to-market strategy that enables companies to personalize campaigns to their most valuable accounts. It’s historically been difficult to implement due to the significant upfront investment required, but the advent of new generative AI tools now allows teams to enhance conversions with greater ease.
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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