Prompt engineering is the process of generating high-quality content by using AI-generated prompts as a starting point. By leveraging the power of AI, marketers can create content that resonates with their target audience and drives engagement. In this guide, we will explore best practices for prompt engineering for marketing and growth professionals.
There are various types of prompts that can be used for marketing and growth use cases. Some common types include:
In this guide, we've explored best practices for prompt engineering for marketing and growth professionals. By following these best practices and leveraging AI-generated prompts, marketers can create high-quality content that resonates with their target audience and drives engagement. With the right tools and resources, prompt engineering can become a powerful tool in any marketer's toolkit.
Five essential tips for integrating generative AI into your B2B marketing strategy.
Discover four ways CMOs can harness the power of generative AI to drive success in the new era of marketing. From embracing early adoption and creating original content to leveraging customer insights and personalizing the journey, learn how AI is redefining the rules of engagement for B2B marketing teams.
Discover how HubSpot leveraged generative AI to drive growth and engagement in their B2B content strategy.
How generative AI content creation tools can help B2B CMOs overcome their top challenges, from finding new customers to boosting engagement and adopting emerging technologies. Learn how AI-driven insights, personalized content, and streamlined tech integration can boost your B2B marketing strategy.
Generative AI is revolutionizing long-form content creation for B2B marketers, enabling them to produce high-quality, informative content at scale while saving time and resources. In this post, learn how generated long form content can help you engage your audience and drive results.
Here are seven powerful ways generative AI is revolutionizing B2B marketing and sales, from streamlining content creation to crafting personalized customer experiences. Explore how this technology can help your team save time, enhance creativity, and drive innovation.
Discover how generative AI is revolutionizing brand building in the B2B marketing landscape. By leveraging AI-powered tools to support the five essential tasks of building a brand, marketers can create emotionally resonant brands that drive long-term success.
Seven innovative ways to revolutionize your content marketing strategy with generative AI. From repurposing case studies into blog posts to personalizing email campaigns, this post explores how AI can help you create engaging, high-performing content that resonates with your target audience.
Five ways to convince your CEO to invest in generative AI content tools for B2B marketing. Learn how these tools can revolutionize your content creation process, enable cost-effective personalization at scale, improve content ROI, provide a competitive advantage, and ensure scalability and consistency across multiple channels, ultimately contributing to your company's growth and success.
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