Linh Ho AMA: The Future of AI Marketing
Marketing with Less at Startups
Startups, with their limited resources and agile frameworks, allow for risk-taking and experimentation which Linh appreciates, “Smaller companies naturally lend themselves to take risks. And be okay to try new things.” Over years of working with smaller companies, Linh noticed better conversions when the focus was quality rather than quantity. In her words, “Measure, measure, measure, as you're experimenting because you're a small company, you get to adapt quickly, a lot faster than the larger companies.”
The Rise of Generative AI in Personalization and Content Generation
Linh highlighted how Zelros effectively utilizes generative AI for content generation, product recommendations, and user personalization in the insurance industry. Undeniably, AI is not just a tool anymore. It has become a co-pilot in marketing endeavors, paving the way for unprecedented efficiency and creativity.
Thee Evolution of Sales and SDRs in the AI Era
“AI can automate mundane tasks and free up sales teams to focus on higher-quality leads.” This bodes well for an environment where data-driven marketing is becoming the norm. AI is not only saving time but also making data analysis, pattern recognition, and prediction modeling streamlined.
Yet, amidst these automated processes, Linh stresses on the importance of maintaining a human touch wherever necessary. “There is a need for human oversight in tasks that require contextual understanding and ethical considerations. Responsible AI is crucial to avoid biases and unintended harm.”
What the Future of Multi-channel Marketing Looks Like with AI
We are witnessing increasingly personal promotions on various channels, including our mobile phones, video platforms like YouTube, and TV. Linh noted this shift back to traditional media channels and emphasized the importance of contextual relevance. The availability of AI technology can make this task more manageable by crunching large volumes of data.
AI by the Numbers
A study by the Boston Consulting Group showed that companies using AI for sales increased their leads by 50%, reduced call time by 60-70%, and realized cost reductions of 40-60%.
Stay up to date with the latest marketing tips and tricks
Other articles in this category
Andrea Kayal AMA: Aligning Revenue Teams at Helpscout
In a challenging marketing environment, aligning revenue teams and applying AI to "do more with less" has been effective at Helpscout.
.svg)
Udi Ledergor AMA: Creating New Categories with Gong
Gong has been one of the most widely followed companies in the Go-To-Market landscape in the past few years, renowned for pioneering Revenue Intelligence as a category and for a blog that has a cult following with sales leaders.
Jessica Gilmartin AMA: Best PLG Hacks with Calendly
Calendly is seen as one of the pioneers of PLG as it was bootstrapped for its first 7 years before raising $350M. In this AMA, CMO Jessica Gilmartin shares her best tips.
.jpg)
Sterling Snow AMA: Scaling Divvy to a $2.5B Acquisition
Sterling Snow, the former CRO at Divvy and SVP of Revenue at Bill.com, shared his insights from scaling Divvy to a remarkable $2.5B acquisition in just four years.
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:
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
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