Streamlining B2B Marketing Workflows with Generative AI
The digital age has intensified the complexity of B2B marketing workflows. Marketers are tasked with an ever-expanding list of responsibilities, from content creation and personalization to data analysis and strategy optimization. The need for streamlining these operations is not just a convenience; it's a requirement for those aiming to stay competitive in today's fast-paced market.
Effortless AI Automation
One of the most promising solutions to this complexity is the application of generative AI in B2B marketing tasks. Generative AI, with its ability to automate and personalize content at scale, represents a shift in how marketing workflows are being managed. Take, for instance, Wunderkind, a company which recently began leveraging generative AI tools to revolutionize its approach to content personalization. Their team previously spent upwards of two days personalizing content for a single account - with much of their workflow concentrated on the manual process of content generation - but their team now spends just 10 minutes creating content for 20 accounts, allowing their workflow to be more focused on strategy.
The integration of generative AI tools with existing marketing platforms also elevates possible efficiency gains. With these integrations, many generative AI tools can automate content creation, pulling data and insights directly from external marketing platforms to generate relevant and personalized messages. This seamless integration benefits not only in terms of saving large amounts of time but also ensures that the content is deeply aligned with the audience's interests and behaviors.
Even with all this success, however, the integration of generative AI into B2B marketing workflows demands thoughtful consideration.
Tips for Teams Looking to Leverage AI
1. Assess Your Needs: Understand the specific areas within your marketing operations that could benefit most from automation and personalization.
2. Choose the Right Tools: Not all generative AI tools are created equal. Evaluate tools for their compatibility with your existing platforms and their ability to meet your specific marketing needs.
3. Train Your Team: Ensure your marketing team is well-acquainted with the capabilities and limitations of generative AI tools. Adequate training is key to maximizing the benefits of these technologies.
4. Monitor and Optimize: Generative AI is powerful, but it's not set-and-forget. Regularly review the performance of your AI-driven initiatives and be ready to make adjustments as needed.
Looking Forward to the New Workflow
The integration of generative AI tools into B2B marketing workflows represents a significant opportunity for enhanced efficiency and effectiveness. By automating routine tasks and personalizing content at scale, marketers can reallocate their focus toward strategic initiatives that drive brand growth. This transition not only promises to save teams time but also has the potential to revolutionize the landscape of B2B marketing in the digital age for the better.
Stay up to date with the latest marketing tips and tricks
Other articles in this category
Tactical Guide to Prompt Engineering for Marketing and Growth Professionals
Best practices for prompt engineering for marketing and growth professionals to create high-quality content that drives engagement.
.svg)
Tactical Guide to Prompt Engineering for Blog Posts
AI chatbots can assist you in your entire blog creation journey, from brainstorming ideas to drafting
How to Implement a Generative Marketing Strategy to Boost Your Conversions
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.
How Personalization Drives Marketing Results in 2023
In 2023, personalization is more important than ever before, and marketers can use AI to provide personalized experiences that increase customer engagement, drive conversions, build brand loyalty, and improve customer satisfaction.
How AI Changes the Game for Marketing Personalization
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.
How AI Changes the Game for Account Based Marketing
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.
Want to give tofu A try?
Request a custom demo to see how Tofu can supercharge your GTM efforts.
ABM IN THE AI ERA
A playbook for 1:1 marketing in the AI era
Hear from leading experts
"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."
.png)
"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."
%201%20(1).png)
What's Inside
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
Transform your ABM strategy
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