Events like webinars and trade shows remain an important tool for B2B companies looking to generate leads and build lasting relationships with potential customers. However, there's a ton of work involved in prepping for the event and the real work begins after the event, when companies need to quickly follow up with leads and nurture them into loyal customers. While we're not advising sending a robot to a conference or using AI to run your webinar, generative AI can be a game-changer in create personalized content for event follow-up. On top of that, you need to create content from the event like blog posts, social posts, and more which is time-consuming and often not the most fun type of content work.
Personalization is key to engaging and converting leads and events are points in time where you get to know individual humans. By tailoring your follow-up content to each lead’s specific needs, pain points, and interests based on their persona, account, industry, and behavior, you demonstrate that you value their time and are committed to being a trusted longterm partner. Generative AI tools can make this level of personalization not only possible but also scalable, timely, and repeatable.
By integrating AI tools like Tofu with your event lead lists, you can automatically generate customized follow-up content for each attendee (or registrant who doesn't attend) across your channels.
Here's how it works:
Generative AI tools are excellent at taking rich content from events such as a video recording of a session or a great presentation deck and turning that into content like blog posts, social content and more. Tofu can ingest video files, audio files, PDFs, PPTs, analyze the content, and extract key topics and insights. From here tofu can generate rich content like blog posts, social posts, ads, on-demand content landing pages, and other derivate assets. You can remove the burden from your content team while also making sure you're maximizing the reach and impact of each event.
During events, prospects and customers often provide nuggets of information as to their specific interests or challenges. Generative AI tools can use this information to tailor content and "best next step" to these interests or needs. For example, if you have notes that a prospect is interested in a particular use case for your product or service, Tofu can create both a customized email as well as a blog post or brochure that dives deep into that specific topic. By sending this personalized content as a follow-up, you show that you are listening to your lead’s needs and can dramatically streamline the funnel process.
One of the most critical aspects of event follow-up is timing. Experts suggest that the best time to follow up with your leads is within 24 hours after the event, when you are still fresh in their memory. However, creating highly personalized content for a large number of leads within such a tight timeframe can be challenging. By automating the content creation process, Tofu allows you to generate high-quality, personalized follow-up content at scale, within this 24-hour window (check out how our team recently generated 30 blog posts in 1 day)
Now that you've created an automated process for your post-event marketing, you can repeat for each event you attend or host making this both scalable and effective. A personalized approach to attendee follow up not only boosts engagement and conversion rates but also differentiates companies from competitors using generic content. By utilizing AI tools for event content, you can take 1 asset and create a content waterfall across channels, maximizing the reach and ROI of you event investment.
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.
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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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