SaaStr

JULY 3, 2024

The bar is high, and you probably won’t be the best at building a fully generalized LLM model unless you’re Anthropic, OpenAI, or Google. The Right Channels For an AI Business As soon as you feel like you have actual product market fit, you need to think about how to build a scalable distribution engine.

Enterprise 293

Enterprise AI Search AI Artificial Intelligence 293

SaaStr

MAY 17, 2024

If you bring in a really senior person too early, they may want to take the reigns before you have enough product market fit, and they may try to take on the CEO role. If you’re pre-product market fit, you may want to be at the reigns driving product. Do you have strong product market fit?

Scale 299

Scale Technical Review Sales Hiring Artificial Intelligence 299

SaaStr

NOVEMBER 20, 2024

Adjusting Your Assumptions Now you have strong product market fit, you’re listening to your customers, and you’re customer zero. You have to listen on the product front and the GTM front. Eighteen months ago, no playbook existed for taking an AI product to market. Deciding where you don’t want to spend your time.

Scale 261

Scale AI Scaling Marketing 261

SaaStr

MARCH 1, 2024

The number of patents filed in 2021 in Artificial Intelligence was 30x the number published six years earlier. We’re on the cusp of a golden age in AI, and the lesson learned from Cloud was that Cloud sped up the pace of development by a lot. How do you make GenAI core and foundational to your product and not just a feature?

Generative AI 293

Generative AI Outsourcing Services AI Software Review 293

SaaStr

APRIL 13, 2025

” Enter the Compound Startup Conrad’s alternative is what he calls a “compound startup”a company building multiple products in parallel that are deeply integrated and seamlessly interoperable. The advantages are substantial: 1.

Startup 157

Startup Sales Hiring Underperforming Technical Team Cloud 157

SaaStr

MARCH 9, 2025

. “Our first attempts at implementing AI across customer support, product tours, and in-app assistance created disconnected experiences where the AI seemed to have different personalities and knowledge levels depending on where you encountered it,” admits Shu.

AI 202

AI Scale Education User Experience 202

Tom Tunguz

APRIL 14, 2019

Since writing The AI Agency: A Novel GTM for Machine Learning Startups , I’ve been meeting many companies who operate this way. These startups use machine learning to disrupt an industry traditionally dominated by agencies: law, accounting, recruiting, translation, debt collection, marketing…the list is long.

AI 203

AI Sales Recruiting Underperforming Technical Team Machine Learning 203

SaaStr

MARCH 5, 2021

The tech involves cameras and devices that detect evidence, decode it with machine learning and deliver it into the right hands. The three things that led to ramping up sales at Flock Safety were: Achieving product-market fit. Flock Safety is a hardware-enabled SaaS company dedicated to stopping crime.

Sales Recruiting 255

Sales Recruiting Sales Hiring Scale Sales 255

SaaStr

NOVEMBER 12, 2022

They believe a strong team can literally will revenue into existence as long as there is the most basic product-market fit. You need to fit into Big Data, into Machine Learning, AI, or B2D tools, or whatever. Some VCs will pay up even for very little growth and revenue so long as the management team is strong.

Scale 343

Scale Sales Recruiting Machine Learning Artificial Intelligence 343

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

SaaStr

FEBRUARY 7, 2025

For any startup looking to go from $1M to $100M and beyond, Rons playbook is clear: Hire technical sales talent if youre in a technical market. When you see product-market fit, go all in. Tap into investor networks for warm intros. Keep pricing simple and optimize packaging. Build a customer community that fuels demand.

Scale 176

Scale Sales Hiring Scaling Revenue 176

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 110

Pricing Scale SaaS Technical Review 110

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.

Artificial Intelligence 98

Artificial Intelligence Social Media Software Review SaaS 98

SaaStr

MAY 28, 2024

Mistake #2: A VP of Marketing that Can’t Do Demand Generation Don’t hire a product marketer, a corporate marketer, or a strategist. Jason was talking to a founder at $14M-$15M, and they weren’t sure if their Head of Marketing was working out. What was this Head of Marketing’s previous role? Not necessarily.

Sales Hiring 306

Sales Hiring Scale AI Search AI 306

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

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

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

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

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

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

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

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

User Pilot

FEBRUARY 25, 2024

More users are adopting micro-SaaS products for the specialized value and low cost that they offer. Companies are going beyond product marketing and investing in content marketing to deliver value to users. It involves extrapolating existing data to predict future trends through artificial intelligence.

SaaS Payments 105

SaaS Payments Trends Payment Solutions Payment Methods 105

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

ChurnZero

DECEMBER 14, 2022

Artificial intelligence (AI) allows new customer intelligence solutions to aggregate, normalize, and analyze data at scale. Customer experience (CX) is finally catching up with other business units, including marketing and revenue management, that have already transformed through the aggregation and analysis of rich data sets.

Artificial Intelligence 98

Artificial Intelligence Scale Systems Review Technical Review 98

ChurnZero

JANUARY 13, 2023

As more mundane tasks are automated by machine learning and AI, people have increasingly more time to devote to developing relationships with customers. With its ability to comb through big data sets like email faster and more accurately than humans, AI will help more product teams maintain product-market fit.

Trends 98

Trends Customer Success Sales Hiring Artificial Intelligence 98

Blulogix

DECEMBER 31, 2024

Industry Trends Shaping Usage-Based Pricing Several trends in the subscription economy are accelerating the adoption of usage-based models: Personalization: Customers expect pricing and services tailored to their specific needs. Invest in Technology: Adopt billing software and subscription management tools that support metered billing.

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. Suddenly, Alex had gained access to a quantitative look at who might poach his leads, which in turn now allows him to prioritize his competitive intelligence and messaging.

Scale 181

Scale Marketing AWS Machine Learning 181

OpenView Labs

SEPTEMBER 25, 2019

Me : “I’ve worked in Product Marketing for the last seven years.”. Them : “Oh, so you do Marketing?”. I work with marketing teams, but my role isn’t exactly marketing.”. It leaves me wondering these questions: How does your sales team stay up to date about the product? What I Learned.

Product Marketing 40

Product Marketing Marketing Artificial Intelligence Sales Hiring 40

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

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

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

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