Machine Learning Marketing Product Marketing 
Tom Tunguz
JANUARY 17, 2019
This concentration limits the market size, but improves product market fit. AI Agencies use machine learning to disrupt a market dominated by agencies. Often, these startups begin as software companies selling machine learning software into agencies. Second, they grow their market size.
Tom Tunguz
DECEMBER 17, 2022
ML propels SaaS into a massive second wave that increases workers’ productivity measurably. Machine learning models predict code, synthesize images, author blog posts reducing composition time by a factor of 2 or 3. The fundraising market thaws, but at materially lower prices than the first half of 2022.
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User Pilot
MAY 13, 2024
Is your team struggling to determine the return on investment (ROI) of product marketing strategies? Or are you looking for ways to improve the performance of your marketing campaigns? In either case, marketing analytics tools can come to your rescue. It can help you monitor the effectiveness of in-app marketing efforts.
Tom Tunguz
AUGUST 3, 2022
The problem extends beyond marketing & community building. Product notifications (your NFT has a new offer), customer support (here’s how to transfer your tokens into our liquidity pool), and peer-to-peer messaging within an application (hey, friend) - none are possible today in a crypto-native way.
Buffer Resources
JUNE 28, 2023
Just over a year ago, my role at Buffer shifted, and I became a Growth Marketing Manager working on Buffer’s Growth Marketing team. For Buffer’s Growth Marketing team, running experiments is fundamental to the way we work. To date, I’ve run 25 experiments in our Adwords account. Then the cycle starts again!
Intercom, Inc.
FEBRUARY 13, 2020
Instead, we’re entering an exciting new moment in marketing where AI tools not only have the ability to free up humans to do the best work of their careers, they are helping companies reach their customers in a highly personal and engaging way. We also recently wrote about the marketing tech trends we’re eyeballing in 2020: .
Tom Tunguz
AUGUST 25, 2018
Mobile, machine learning, blockchain. I suspect old-fashioned product marketing may be the disruptive force to prise $1 billion worth of market away from some of these incumbents. the industry has been looking for ways to compete with some of these incumbents for a long time. That playbook can be hugely disruptive.
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