Tom Tunguz

AUGUST 22, 2017

Next-generation machine learning tools are also available by API and improving all the time. Marketing messages overlap, sales pitches sound similar, and buyers must use the products in order to truly understand the nuances among them. A product that is hard to sell isn’t the right product. So are copycats.

Scale 189

Scale SaaS Venture Capital Machine Learning 189

Tom Tunguz

OCTOBER 21, 2017

This rivalry causes four major responses: Verticalization - compete with a horizontal player by picking one customer segment and building a product better suited to them. Trades market size for better product market fit. Segmentation - focus on SMB, Mid-Market, or Enterprise, to play where competition isn’t present.

Venture Capital 189

Venture Capital SaaS Machine Learning Artificial Intelligence 189

Tom Tunguz

JUNE 23, 2018

Startups can invest in deep technology by building machine learning software that might take a year or two to bring to the market. Or startups might commercialize hardware, another category where time-to-market is slower than classic SaaS.

Machine Learning 189

Machine Learning Artificial Intelligence Startup Investment 189

Sales Hacker

FEBRUARY 7, 2025

The Startup Stage: Finding Product-Market Fit The startup stage is the foundation of any SaaS companys journey. During this phase, the primary focus is on building a product that meets a specific market need and ensuring that early users validate its core functionality.

Pricing 111

Pricing Scale SaaS Technical Review 111

Intercom, Inc.

MAY 22, 2019

Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. It’s time for product teams to go from being revenue-led or product-led to being customer-led. When building machine learning , large generic training models aren’t always the best.

Machine Learning 199

Machine Learning Artificial Intelligence Scale Technical Review 199

SaaStr

AUGUST 27, 2024

The key learnings here are: Performance Max has gotten really good. Google has been working on its machine learning, and it’s working. In a B2B space, you can get strong overlap, so you want your product strategy to play into that so you aren’t throwing away demand. Doctors and patients are searching for the same thing.

Scale 285

Scale AI Search Sales Hiring Social Media 285

Unbounce

APRIL 15, 2021

There are even a lucky few marketers who hardly noticed it—at least in terms of their conversions. That elusive product-market fit just kinda works itself out when you’re peddling business casual pajamas.). In other words, ensuring the readability of your pages is key for some marketers, and relatively unimportant for others.

Benchmarks 145

Benchmarks Machine Learning Artificial Intelligence AI Search 145

SaaStr

APRIL 4, 2019

In the last two years there have been so many new services around security, around machine learning that literally did not exist. And that’s where the market is heading right now. So that’s just one example, one use case here that with machine learning we can gain a lot of business knowledge.

Cloud 173

Cloud Scale Trends Machine Learning 173

Intercom, Inc.

DECEMBER 12, 2018

The “shiny penny” approach (focus all your attention on the hottest tools in the market) or “head in the sand” approach (fall victim to analysis paralysis and avoid choosing any tools) are no longer viable. What is a marketing technology stack? In 2018, however, there’s finally an alternative to doing this by hand: machine learning.

Technical Review 223

Technical Review Technology Scale Marketing 223

Intercom, Inc.

NOVEMBER 27, 2019

Product, marketing, and sales are table stakes for growth. We see wildly successful companies and attribute their success to a combination of their product, the story they tell about it, and their ability to monetize it. In that process, the whole sales, marketing, products, go-to-market, commercial model is going to change.

Payments 186

Payments Scale Revenue SaaS Payments 186

Valuize Consulting

MARCH 16, 2025

By harnessing the power of machine learning and data analytics, you can gain a granular understanding of how your product impacts your customers’ businesses. AI: Your Strategic Ally in Outcome Identification and Definition AI empowers you to move beyond anecdotal evidence and subjective interpretations.

Scale 52

Scale AI Customer Lifetime Value Technical Review 52

Blulogix

DECEMBER 31, 2024

Technological Advancements: AI and machine learning are enabling more precise usage tracking and predictive analytics. Market Consolidation: As competition intensifies, businesses must differentiate themselves with innovative pricing models and superior operational efficiency.

Payment Features 52

Payment Features Scaling AI Search Subscription 52

Intercom, Inc.

FEBRUARY 13, 2020

Here’s a case in point: as a product marketer by training, Alex spoke about how he often struggled to stay on top of the competition. Instead of being automated out of his job, he’s now leveraging machine learning to help him do his job better and increasing his value to the company.

Scale 181

Scale Marketing AWS Machine Learning 181

Tom Tunguz

AUGUST 21, 2013

Of the five teams in a startup, marketing teams tend to have the least influence because traditional product marketers must influence others to enact change. Marketing works with product and engineering to update branding and communication within the product.

Machine Learning 100

Machine Learning Artificial Intelligence Mobile Advertising 100

Intercom, Inc.

MARCH 18, 2021

To understand a bit more about the launch, we’ve gathered some of the folks behind it: Thomas Creighton de Farias – Senior Product Education Producer. Orinna Weaver – Senior Product Marketing Manager. Rati Zvirawa – Product Manager. Tanya Sivo – Product Designer. What does it mean for you on a day-to-day basis?

Scale 211

Scale Underperforming Technical Team Trends Metrics 211

SaaStr

SEPTEMBER 3, 2019

So to illustrate this, I want to talk about getting deep product/market fit, and specifically one story of a founder that I admire by the name of Parker Conrad that he has told in the past. I realized that I was missing something fundamental in that first company that was deep product/market fit. It’s all there.

Acquisition 171

Acquisition Software Review Payment Methods Marketplace as a Service 171

SaaStr

NOVEMBER 28, 2019

Product-market fit has been really important. Felix : So that’s when you start to actually get, get more customers, get them more, reputable, repeatability and kind of proving the market. That’s when we found product market fit. But we saw the market maturing more and more interest was coming.

Sales Hiring 190

Sales Hiring Scale Sales Recruiting Government 190

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.

Software 105

Software Marketing Scale Social Media 105

Hitenism

APRIL 24, 2017

Intrinsic to the method is also the search for new opportunities for product development, whether by assessing customer behavior or feedback, or perhaps experimenting with ways to capitalize on new technologies such as machine learning and artificial intelligence.

Growth Hacking 177

Growth Hacking Artificial Intelligence Technical Review Systems Review 177

User Pilot

AUGUST 14, 2024

Userpilot Product Drive 2024. Product Drive Categories This year’s Summit Drive features talks in four categories : product management and leadership, product growth, product marketing, and AI & product management. Userpilot Product Drive 2024 talk categories. Why does it matter?

Scale 105

Scale Artificial Intelligence Technical Review AI 105

Hitenism

JANUARY 16, 2017

Bar is getting higher for hitting product/market fit in #SaaS. In every single area of execution you have to think differently to think about the future: Product and Engineering: You have to work harder to keep people’s attention in order to keep them paying for your product. Hiten Shah (@hnshah) November 17, 2016.

Scale 147

Scale Venture Capital SaaS Headcount 147

User Pilot

AUGUST 29, 2022

It involves using modern technology, such as artificial intelligence, machine learning, and natural language processing, to understand the emotional undertone behind a body of text. Userpilot has a wide variety of microsurveys, such as NPS, CES, CSAT, and product-market fit surveys. NPS Qualitative Survey.

Artificial Intelligence 98

Artificial Intelligence Social Media Software Review SaaS 98

Buffer Resources

JUNE 28, 2023

I often share my learnings with other teams, especially the Product team and the Product Marketing team, as they can apply a lot of the insights to their own experiments, campaigns, and product features.

Marketing 123

Marketing Machine Learning Artificial Intelligence Scale 123

The Angel VC

AUGUST 25, 2017

We’re looking for companies that we think can build a 10x better product and/or drive a paradigm shift in the industry. With very few exceptions in areas like accounting, we’re looking for companies that have the potential to win the US market. In these cases most of our „rules“ don’t apply.

Investment 118

Investment Marketplace as a Service Blockchain Machine Learning 118

User Pilot

JANUARY 26, 2021

It helps product and product marketing teams piece together and analyze the cross-channel data to improve their touchpoints. How do you take action on those insights without taking time off your product roadmap? Do you want Artificial Intelligence/Machine learning capabilities? But then what?

Artificial Intelligence 98

Artificial Intelligence Data Machine Learning Underperforming Technical Team 98

SaaStr

AUGUST 13, 2019

You have actually found great product market fit and you are looking to go upstream. So what did we have to do in order to increase the win rate was really used machine learning and data signs to really drive the targeting of the right opportunities. Congratulations. There you go. What are they, what are we going to do?

Scale 174

Scale Sales Hiring SaaS Sales Recruiting 174

User Pilot

JANUARY 12, 2023

You can also use UBA data to recommend content and products contextually. Likewise, product marketers use the data to target the right audiences with marketing campaigns. Reduce product churn by finding behavioral patterns among churned users and reach out to existing customers with similar patterns to avoid attrition.

Artificial Intelligence 98

Artificial Intelligence SaaS Software Review User Experience 98

User Pilot

AUGUST 30, 2023

Melissa will be sharing the invaluable lessons she’s learned from her experience as a 3X founder. Product marketing speaker. AI and product management The use of AI in product management isn’t new; small and large companies have been doing it for years. Keys for dealing with the intricacies of niche products.

Scale 105

Scale Growth Hacking AI Consulting 105

User Pilot

MAY 24, 2021

This tool combines session recording and product analytics. It captures page views and clicks that visitors make on your site and has the ability to track and measure “rage clicks” FullStory comes with AI and machine learning features and lets you calculate and track KPIs, including conversion rates.

Growth Marketing 98

Growth Marketing Software Marketing SaaS 98

Baremetrics

MARCH 16, 2021

will build upon machine learning and artificial intelligence to process information with almost human-like ability. As a growing startup, QuikNode is focused on optimizing product market fit and iterating for more traction. In the 1990s, Web 1.0 Where Web 2.0 Gain valuable feedback.

Blockchain 90

Blockchain Payment Solutions Artificial Intelligence Payment Services 90

Sales Hacker

DECEMBER 17, 2024

They led a several hundred person team that ran the predictive machine learning that personalized the Yahoo homepage. Scott Barker: [28:54] How did you as um like owning the kind of product marketing function and this ad org is just blowing up. Back when that page mattered.

Scale 102

Scale Engineering Acquisition Scaling 102

SaaStr

MARCH 31, 2020

When you’re going up, you have no product market fit, okay? And you’re starting to find that product market fit. Once you have the product market fit and you’ve reached the maxima of the easy to close customers, then you can hire a growth team, okay? Easy, after product market fit.

Scale 162

Scale Scaling Sales Hiring Engineering 162

User Pilot

JUNE 30, 2023

These include: Gathering customer data Tracking product usage data Leveraging AI and machine learning for predictive analytics Having a tool for data collection + analysis Let’s take a closer look at each of the four requisites to help you on your way toward creating a more personalized customer experience!

Artificial Intelligence 98

Artificial Intelligence SaaS Machine Learning AI 98

User Pilot

APRIL 17, 2024

Mixpanel provides insights into customer journeys to help businesses refine product-market fit and drive growth through data-driven strategies. Hotjar enhances user experience and product development with features like heatmaps and custom integrations, delving deep into user behavior. Enterprise : Custom pricing.

AI Search 103

AI Search Social Media Cross-platform App Design (Application) Systems Review 103

Frontegg

SEPTEMBER 24, 2020

The SaaS market is constantly growing and as anyone who is a developer of a SaaS product today knows, you will find yourselves facing thousands of SaaS companies, new and old, who are all trying to create solutions to every possible business need and otherwise. The SaaS Re-Creation Life Cycle. Keep your customers informed.

Scale 75

Scale Artificial Intelligence SaaS Onboarding 75

User Pilot

FEBRUARY 26, 2023

However, not all product marketing teams have mastered the art of digital customer engagement. As such, its role in customer engagement continues to rise especially with the advent of machine learning. Most SaaS companies know that every touchpoint with users or prospects is a crucial part of the acquisition process.

Engagement 98

Engagement Technical Review Software Review Social Media 98

Intercom, Inc.

OCTOBER 31, 2019

Here are five quick takeaways: Balancing human-computer interaction has been the difference between technologies that break out and are very successful and technologies that are considered to be ahead of their time or just not the right product-market fit. It’s whether or not you can get the right human-computer interaction.

Artificial Intelligence 169

Artificial Intelligence Scale CTO Hire Technology 169