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Every week I’ll provide updates on the latest trends in cloud software companies. We saw it during the rise of the cloud. What actually happened was this: Cloud created new pain points and new markets (more data, more sprawl, more teams), which made old categories more valuable. Cloud shifted services to software.
Why 40% Cloud Adoption Marks the End of Easy Growth. The 40% Tipping Point : With 40% of workloads now in the cloud, SaaS has hit market maturity. Weak players get acquired or shut down. The Cursor Example: This company is generating significant revenue by fundamentally reimagining how developers work.
Veeva is the dominant cloud software provider for life sciences – serving pharmaceutical, biotech, and medical device companies with mission-critical applications for drug development, clinical trials, regulatory compliance, and commercial operations. Don’t get discouraged.” It took Veeva about three or four years.”
The Great Spending Showdown: AI vs SaaS in 2025/2026 — What Every B2B Leader Needs to Know We’re witnessing the most dramatic shift in enterprise tech spending since the cloud migration began 15 years ago.
Conrad personally runs payroll for Rippling’s 2,000 employees across a dozen countries as a “part-time job,” while UK companies with even small teams often spend 5-6 days monthly just managing payroll. The company now has three distinct “clouds”: HR Cloud : Traditional HR and payroll functions.
Key takeaways CSPM identifies and fixes cloud misconfigurations to maintain compliance and reduce security risks. Common misconfigurations include exposed storage buckets, excessive permissions, unsecured APIs, and poor network segmentation. What is cloud security posture management (CSPM)?
This is why security teams require SaaS security assessments. When configurations often change, like in cloud productivity suites, risks grow. It gives the bad actor access to a users browser, hijacks the session, and then redirects the user to malicious sites. But whats in them? Cross-site scripting (XSS).
Effective sales teams are also 81% more likely to be consistent CRM users , underscoring how vital these systems are for success. By the end of this guide, youll have a clear understanding of each platforms strengths, weaknesses, and ideal use cases. Lets dive in! Today, Salesforce is positioned as the enterprise CRM leader.
and now very big in the case of, say, a zero, which is cloud accounting software. So one of the best tactics that most people won’t do is to point out the weaknesses in the business. Blake Hutchison (29:53) Our churn rate is poor, but we actually know why. saying, show your weakness. And I’ve done that.
They kept the focus on the core value proposition of helping teams write, plan and collaborate to create better workspaces, while still having the AI inclusion. Bad: We use AI to streamline sales workflows. One tool where teams can: create strategy, build pipeline, track tenders and win bids.
Developer API Documentation, API, Examples, FAQ and more. Developer API Documentation, API, Examples, FAQ and more. Great for small to medium teams with a pay-as-you-go pricing model. Ideal for teams needing real-time insights and distributed system support. Best for teams managing complex microservices.
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.
Let’s review everything your customer success team has to do in the absence of any customer success tools. Ensure that your data is clean and easily accessible, as poor data quality undermines the value of even the best customer success tool. This will allow teams to identify at-risk accounts and prioritize proactive outreach.
Why SaaS Builders Should Care LLM orchestration delivers clear business value to SaaS teams. Orchestration streamlines workflows by automating repetitive tasks, freeing developers from wiring models together manually. The result is faster AI feature development and fewer manual interventions.
terabytes of customer data from Ticketmaster through a cloud database hosted by a third-party data services provider. The breach was attributed to vulnerabilities in the platform, specifically weak API security. Despite this prolonged and suspicious activity, Dells systems failed to detect the breach.
While competitors invested in huge sales teams, Atlassian actually restricted direct customer interaction. The “Feature Request Arbitrage” Strategy Hidden gem in their marketplace origin: They turned their biggest product weakness (feature request backlog) into their greatest strength.
Compliance trends in 2025 continue to be influenced by emerging technologies such as artificial intelligence, Internet of Things, blockchain, and cloud computing. The first of these concerns is new advanced threats, seeing as AI can be leveraged by malicious actors to develop sophisticated and evasive cyber threats.
Best for: SaaS product teams who want a powerful but easy-to-use platform to improve onboarding, increase product adoption, and drive user engagement. Ease of use and implementation Userpilot is known for its intuitive, no-code builder, making it easy to create and customize in-app experiences without needing developers.
Whether youre a developer tuning a model or a business leader integrating AI into your product, knowing how LLMs are trained helps you make better decisions in leveraging this technology. The LLM is typically hosted on servers (or accessed via cloud APIs) and integrated into applications.
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.
ProProfs Knowledge Base is an easy-to-use, cloud-based knowledge management tool designed to help organizations build online FAQ pages, help centers, user manuals, internal knowledge repositories, and more. Internal Knowledge Base for Employees: Develop a private, cloud-based knowledge repository for your employees.
With a background that includes leadership roles at AWS, Microsoft, and Lenovo, Fred brings a wealth of experience in building high-performing teams and driving revenue growth. It helps me and the team be so much more productive. And I always found it, because I’d be in there with my team, an enjoyable market to cold call into.
Shadow AI, aka the unsanctioned artificial intelligence based applications that are in your tech stack, is often adopted by individual teams or employees for perceived productivity gains. Its important to decide which employees in each department will take ownership and handle the line items for their team and manage everything.
Special thanks to Jason Saltzman and Live Data Technologies for sharing access to real-time job change data for over 88 million professionals, revealing critical trends across customer success and go-to-market teams. Lets get into it. For labor-intensive, highly technical products, the connection to revenue may be less direct.
In this article, I will share the competitive analysis framework my team and I have developed (through weeks of research and dozens of iterations), and give you some tips on where to look for data that isn’t publicly available so you can have a competitive advantage. Are they looking for a developer with a specific skill set?
17:36 What Doug learned running Sales Cloud at Salesforce — and why he left. 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. 06:33 Why Sales Nav was a $250M business with a “crappy product” — and how Doug turned it around.
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Sean Whiteley is a three-time founder and the current CEO of Qualified, the AI pipeline automation platform purpose-built for inbound GTM teams. From the on-premise and internet era to cloud computing and now ai, he shares our expectations.
Protocol attacks Protocol attacks aim to exploit weaknesses in the protocols used for network communications to deplete the state resources of servers and intermediary communication equipment. He has led initiatives at Ping Identity and DevNetwork to enhance developer tools, authentication processes, and user experiences.
Minor issues like slow load times, broken links, and outdated plugins pile up fast and quietly chip away at your site’s performance and lead to a bad user experience (UX). On top of that, poor website maintenance can hurt your SEO, security, and conversions. And always store them off-site, in cloud storage or a secure external server.
He compares today’s state of AI today to early days in physics where the Standard Model was developed and ended up serving physics almost unchanged through today. Sharma shows us some significant new capabilities arriving in Copilot, and with her team presents a couple different agentic app solutions. Bad for so many reasons.
Many product teams know this feeling: mobile user retention is dropping, even after big updates and splashy feature releases. Complex onboarding: 74% of users abandon an app after a poor onboarding experience. Poor UX: If your app is difficult to navigate or lacks a clear layout, users wont hesitate to abandon it.
Developer API Documentation, API, Examples, FAQ and more. Developer API Documentation, API, Examples, FAQ and more. Better Client Management : 87% of deals are lost due to poor follow-ups. Managers can also keep the team aligned by sharing documents and coordinating activities in real time.
Things were slow for a while during the last downturn, but then the Cloud just picked itself up and … ran. Do a lot more Business Development and Partnerships. Underperformers found it harder to hide after Covid, and many have already left or moved on. Respectfully move on from any other underperformers by year-end.
I’m watching public company earnings to identify early weaknesses in the software market. Segment Expected Growth Productivity 12% Office Commercial 6% Office On-Premise -25% LinkedIn 5% Dynamics 13% Intelligent Cloud 18% Azure 26% Server -3% Services -3% 2. About 70% of commercial Office subscribers use Teams.
sales team. We created and served up apps via the cloud on a subscription basis. I did all sorts of things there from sales, to project management, to running the engineering team, hiring. This is when I got hooked on tech, and SaaS, and cloud, and making things faster and better. Want to see more content like this?
So let’s take a look back to a deep dive with the CEOs on what they learned building their first senior teams: ———-. As a founder/CEO, building your first management team is something that you often lose sleep over. What makes you feel that you need to level up your management, set up your first management team?
Multi-cloud architectures. If you’ve been paying attention to any loud marketing efforts over the last few years, you have definitely heard about multi-cloud. If you’re unfamiliar with the term “ multi-cloud ,” it means deploying your application to a heterogeneous cloud-based platform spread across multiple cloud providers.
Do you have two sales teams? Who gets what part of the long-term development budget? And most importantly, multiple products can be very distracting at the management team level. The last thing you want the team doing is chasing a shiny penny, when what really matters is hitting the plan for the quarter.
Pomel focused his session on: Making your SaaS startup customer-centric: Hw event marketing has helped him integrate his engineering and sales teams. How many of you guys’ product rely on the highly functioning engineering team? Helping the engineering teams run smoothly and being super productive thanks to mentoring.
Some examples: Okta basically won the corporate side of identity (rocketed to #1) but wasn’t #1 on the developer side. IBM couldn’t catch up in the Cloud so it bought RedHat, the largest open-source player, RedHat, for $34B. IBM couldn’t catch up in the Cloud so it bought RedHat, the largest open-source player, RedHat, for $34B.
Today, Veeva is at $45B Cloud juggernaut dominating pharma and life science Cloud applications. If you don’t have tickets, lock in Early Bird pricing today and bring your team! We’re building the industry cloud for life sciences, so our customers are people like Pfizer and Novartis, etc., Get tickets here.
Every week I’ll provide updates on the latest trends in cloud software companies. Cloud Downgrades This week UBS came out with a couple research reports citing concerns in AWS / Azure growth. We know software is impacted from macro - but how bad will it get? Subscribe now Share Clouded Judgement Leave a comment
Sequoia Capital’s India arm put together a terrific summary of all their learnings about SaaS and Cloud from SaaStr Annual this year. They are hiring leaders, building teams, and attracting advisors in the US while devouring the SV SaaS playbook. In return, they will spend a certain number of hours per month with your team.
Anyone should be able to build any Cloud solutions they want. The good news is you have a big backlog, and the bad news is you have a big backlog. When these three things come together — Cloud platforms, new builder and dev tools, and generative AI — it creates a tipping point. Customers don’t just want a product today.
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