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At SaaStr + AI Summit 2025, Jason Lemkin and Kyle Norton CRO of $1B+ vertical SaaS leader Owner (where Jason is on the board) did a deep dive on AI in Sales today. The AI-Native CRO: How Revenue Leaders Must Evolve or Risk Obsolescence 4 Top Learnings for Revenue Leaders 1. AI Curiosity Is Now a Firing Offense to Lack.
Along with co-host Ben Salzman, Jason and Henry discuss the transformative power of AI within SaaS and the evolving dynamics that are reshaping the landscape of software as a service. “The best hack,” Jason adds, “is not recruiting one management team. Almost equally to their ability to recruit great people.
What’s Changing in Sales: The AI Revolution is Here — and Coming Fast After analyzing 139,000+ conversations through SaaStr’s New AI, it’s now clear from the data: AI is about to fundamentally transform B2B sales. This isn’t some distant futureit’s happening right now.
And why the AI budget war is just getting started Top 5 Takeaways 1. AI is Eating SaaS Budgets : Companies like Cursor are generating massive revenue by replacing traditional SaaS workflows entirely. This isn’t feature addition—it’s fundamental workflow replacement that’s compressing overall software spend.
New spending data from Ramp reveals a possible trend: end user AI adoption may be hitting its first growth slow down. The AI adoption party might be slowing down—at least temporarily. While overall AI penetration among U.S. CFOs who initially approved AI experiments are now demanding concrete business outcomes.
They were two developers who had lived through the nightmare of subscription infrastructure while working at Elevate. The Problem Was Real: Apple and Google’s app stores weren’t giving developers the data they needed. ” required weeks of developer time to answer. Managing Them Will Remain a Headache.
The average churn rate for the software industry as a whole is 14%. As a SaaS business leader, reducing software user churn is an important part of maintaining your customer base and increasing revenue. TL;DR The average software industry churn rate is 14%, but SaaS companies should aim for under 2%. Looking to measure churn?
But behind every product launch and revenue milestone is a team – and building that team is one of the hardest and important parts of the journey. Build the team that builds the company.” – that is part of your go-to-market strategy responsible for growth. Not to start off with an AI question. Shall shall do it.
So at SaaStr Annual, Dave Kellogg did a great deep dive on “5 Things Every B2B CEO Needs to Know about Marketing” In the Age of AI it’s even more true today, so I wanted to update our SaaStr take-aways from the deep dive. You assembled a talented team, built an amazing product, and established a growing SaaS business.
Keep reading to learn what the four most common SaaS assumptions are, and watch Adam knock each one down with the power of generative AI. It’s expensive and time-consuming to build software. 2 It’s expensive and time-consuming to build software. The good news is you have a big backlog, and the bad news is you have a big backlog.
Co-founder and CEO at Greenhouse, Daniel Chait, sits down with SaaStr CEO and Founder Jason Lemkin to share what’s new at Greenhouse, a successful recruiting software company at $200M in ARR today. Hiring is complicated, so you have to build a lot of software to get to $200M ARR. Greenhouse wants to use AI to improve fairness.
Since writing The AI Agency: A Novel GTM for Machine Learning Startups , I’ve been meeting many companies who operate this way. If you’re operating an AI Agency, I’d love to hear from you. This is an early strategic question, perhaps the first strategic question an AI Agency will face.
With a Master’s degree in human-computer interaction and over two decades of experience in user research and user experience in companies like Oracle, he now leads the design team across all product offerings at IBM. According to him, good design doesn’t need to sacrifice transparency, and imperceptible AI isn’t ethical AI.
I’m watching public company earnings to identify early weaknesses in the software market. The transcript highlights the major trends in software of 2023. Machine Learning is a Secular Platform Change & a Growth Driver for Software The age of AI is upon us, and Microsoft is powering it.
While your product managers use our analytics reports to track product usage, your engineering teams can use our session replays to uncover bugs, and your customer support team may use our in-app help center feature to offer self-service and reduce support tickets. Userpilot is perfect for non-technical teams.
Let’s review everything your customer success team has to do in the absence of any customer success tools. Best customer success software for startups and small companies. Best customer success software shortlist ClientSuccess – starting from $15,000/year. Defining a customer success tool and other FAQs.
and now very big in the case of, say, a zero, which is cloud accounting software. And the AI matching connected them up with that opportunity. Yeah, it’s interesting that AI is a key driver, at least if I infer that from that example where, because of course, I mean, it’s the problem of all digital world that we live in.
How many software review sites are you present at? Why software reviews are your best friends and why you need them? #1 Bad reviews teach, good reviews sell Not all of your reviews will be positive. And you know why people are subscribing to your software. When something goes wrong, it’s time to voice what happens.
Which product feedback software should you choose for your SaaS? In this round-up, I cover 21 of the best product feedback software solutions. In this round-up, I cover 21 of the best product feedback software solutions. Social listening tools : Software for monitoring online conversations, brand mentions, and trends.
Although they may seem like strong opinions, many of these tips echo the main tenets of software engineering: work with you’ve got, design solutions as needed, don’t repeat yourself, and keep it simple, stupid! Don’t add to your stack unless you’re certain that your use case will not be satisfied by existing software.
“How World-Class Product Teams Are Winning in the AI Era” is one of the talks at this year’s Product Drive Summit. Delivered by Carlos Gonzalez de Villaumbrosia, it tackles the challenges and opportunities AI-revolution poses for product teams. AI enables product teams to achieve more with fewer resources.
They are hiring leaders, building teams, and attracting advisors in the US while devouring the SV SaaS playbook. Software demand is softening. AI is likely the next platform, dev tools are strategic given the scarcity of developers, cybersecurity is front and center for enterprises, and the data stack is still going strong.
Unfortunately, the research backs this up, with a staggering 90% of users reporting that they stopped using an app due to poor performance. Poor performance includes slow loading times, complex design, confusing navigation, and unresponsive features. To assign meaning to whether the numbers are good or bad, context is crucial.
Everyone has questions when it comes to choosing data analysis software. Luckily, data analysis software can seriously simplify data analysis—provided you choose the right one. How to Choose the Best Data Analysis Software for You. Data analysis software isn’t a cheap investment, so use caution when making a selection.
Their solutions span a wide range of verticals: from E-commerce, HR and Health to collaboration, infrastructure and AI. Tienpay offers digital banking software that handles wallet, digital exchange, and digital assets. It is a cloud-based platform that offers the services of Asia’s top AI assistant for hotel staff – Gaia.
As a core part of Matt’s philosophy, people need to have their own domain and run open-source software because it allows them to control the entire stack of what they’re putting online. This is where Matt believes AI is useful and will start to help. That’s timeless and will never go out of style. It’s not meant to be a consumer brand.
AI has been quite overhyped in the past. ML teams tend to invest a fair share of resources in research that never ships. If you want to invest in ML, hire someone with experience on both the tech and the operational side so they can start working with the product team from day one. What’s up? The rise of neural networks.
That’s where customer engagement software comes in. How I chose the best customer engagement software My evaluation process combined thorough feature analysis , a careful review of user feedback, and insights from industry reports. But how do you track and strengthen these connections? Criterion Does It Deliver?
And the broad impact of this wave of AI is already creating the sort of massive value we’ve seen with other platform shifts, like the internet, mobile, cloud. AI today 1. But there will be more breakthroughs because now all the AI scientists in the world are working on making the stuff better. Noam Shazeer, Character.AI
Since 2010, she’s been leading teams, building websites, web applications for nonprofits, K through 12, higher education, government, businesses of all sizes. And so I think there are a lot of self-taught developers that just don’t know. So important, regardless of ability. so I think Jesse Paliotto (15:27) Wow.
In this article, I’ll show you how Userpilot helps product teams cut through the noise and understand what really matters in mobile user behavior: no data science degree required. The platform’s code-free implementation makes it accessible for product managers who want insights without constantly relying on developers.
Looking for the best customer success management software to power up your product growth strategy, but you are overwhelmed with so many options in the market? TL;DR Customer success software refers to tools that help manage customer experiences and drive customers toward their desired outcomes. We’ve got you covered!
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Jaleh Rezaei is the CEO & Co-founder of Mutiny, a company reimagining the B2B buying experience by transforming transactional relationships into meaningful connections through AI-powered personalization.
Intercom Mobile is a suite of mobile softwaredevelopment kits (SDKs) that lets you embed customer messaging , support, and engagement into your mobile app. Intercom Mobile cons Poor customer support For a support tool, its quite a surprise to see many users complain about the lack of sufficient customer support. Source: G2.
In fact, 92% of businesses say CRM software is crucial to achieving their revenue goals. Effective sales teams are also 81% more likely to be consistent CRM users , underscoring how vital these systems are for success. Its early vision was to end software as we knew it instead delivering enterprise applications via the internet.
By BluLogix Team Why MGI Research Ranked BluLogix a Top Agile Billing Platform in 2025 In May 2025, BluLogix was recognized by MGI Research in its Agile Billing Top 50 Buyer’s Guide —a definitive analysis of the top billing platforms for businesses navigating modern monetization. What Are the MGI 360 Ratings?
Want to advance your career in product management or find top talent for your team? Mozilla: Director of Product, Firefox Growth Firefox is used by hundreds of millions worldwide, and the Director of Product for Growth plays a critical role in the product management team. Who would be a bad fit for this job?
Table Of Contents The strangest reality of application security in the age of "shift left" is the poor understanding of DAST tools (dynamic vulnerability scanning tools) and, particularly, the value that they the offer as part of a modern softwaredevelopment lifecycle. How does DAST work?
And for your support team, using the right conversational support tool and framework allows them to maximize their resources, so they can focus on solving complex queries and building long-term customer relationships. But conversational support doesn’t just benefit your support team. Teams that benefit: Sales, marketing.
In December, our Director of Machine Learning, Fergal Reid , and I sat down to chat about the launch of ChatGPT : the good, the bad, the promise, the hype. We sketched out a few AI-powered features we thought could be useful, went into production, and put a beta version in front of 160 customers. What have you learned? Fergal: Right.
The strangest reality of application security in the age of "shift left" is the poor understanding of DAST scanning tools (dynamic vulnerability scanning tools) and, particularly, the value that they the offer as part of a modern softwaredevelopment lifecycle. Github) and your preferred CICD pipeline orchestration tool (eg.
The SaaStock team will be landing in São Paulo to run the region’s first Pan-Latin American SaaS conference, SaaStock LatAm. In 2017, he co-founded B2B Stack, a software review marketplace that boosts the buying process of B2B tech in Brazil. She’ll be talking about her approach to sales as a team sport.
Share Alright, AI continues to be the biggest talking point of 2023 ( are we sick of talking about it yet? ) – with every SaaS company on the face of the earth looking to experiment with some kind of AI integration into their software; It’s become quite apparent that less is more in today’s world.
By developing a customer segmentation strategy, you can build the right segments, analyze their behavior, and set tactics to reach them through tailor-made initiatives. – Better product development. Customer segmentation software recommendations: 1. – Increased customer retention. – Targeted marketing strategy.
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