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Based on internal analysis of industry data, we estimate the customers of trades businesses, which we refer to as “end customers,” spend approximately $1.5 ”” Benchmark Data The data shown below depicts how the ServiceTitan data compares to the operating metrics of current public SaaS businesses.
In “ Data Rules Everything Around Me ,” Matt Slotnick wrote about the difference between SaaS & AI apps. A typical SaaS app has a workflow layer, a middleware/connectivity layer, & a data layer/database. AI makes writing frontends trivial, so in the three-layer cake of workflow software the data matters much more.
In Figma, designers work alongside developers, product managers (“PMs”), researchers, marketers, writers, and other non-designers who, in the three months ended March 31, 2025, made up two-thirds of our more than 13 million monthly active users. ” [ My note: Their products here are Figma Sites and Figma Buzz.]
Dear SaaStr: At $20,000 ACV, How Many Customers Should Each Customer Success Manager Have? At $20,000 ACV, the number of customers each Customer Success Manager (CSM) should handle depends on the stage of your company and how much ARR you want each CSM to manage.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust.
Billion PostgreSQL Battle for AI Agent Supremacy Brief Overview : Two data giants are making strategic moves to dominate the AI agent infrastructure market through major PostgreSQL acquisitions. With this news, we will be introducing Snowflake Postgres: enterprise-grade, AI-ready, and fully managed. Databricks: The $1.25
When you’re expanding your software business into new regions, industry benchmarking data can help you make better strategic decisions by answering important questions about business in the region. and EU customer data to set “one-size-fits-all” global pricing. Are their preferences similar to those in the U.S.
Subscribe now You Own Your Data…Or Do you? Something I’ve written a fair bit about, and something I deeply believe, is this: you don’t have an AI strategy without a data strategy. But what if the data you think you have… you actually don’t? Follow along to stay up to date! And this matters.
Because FastSpring is a merchant of record for over 3500 companies that use our platform daily, we can analyze aggregate sales data for benchmarking insights into Q4 for your SaaS or software business. trends in year-end SaaS and software sales data. Up-to-date global trends in year-end SaaS and software sales data.
In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. The Future of Product Management 🔮 How to continuously integrate AI into your work to stay ahead of emerging trends and technologies.
I’m fortune that SaaStr Fund was the first investor in RevenueCat in 2018 and today it’s grown into the #1 tool to manage mobile subscriptions, powering 40% of all mobile subscription apps, and even ChatGPT’s mobile app itself. So they see 40% of all mobile subscriptions — and a ton of data from it.
Christoph Janz isn’t just another VC he’s been spotting and backing SaaS winners for over a decade as Managing Partner at Point Nine Capital. Christoph Janz of Point9 Capital came to SaaStr Annual to do a deep dive. Who is Christoph Janz?
Our platform unifies core financial and broader operational data and processes within a single platform, with solutions that maintain the integrity of corporate reporting standards for Finance while providing operationally significant insights for business users. .” Financial and Operational Planning and Analysis.
” This philosophy has driven Rubrik’s expansion from a core data protection platform to multiple product pillars spanning data protection, data security, and AI enablement. The Problem: Rubrik’s platform handles data across data centers, cloud VMs, databases, object storage, and SaaS applications.
It's quite a process for marketing teams to develop a long-term datamanagement strategy. It involves finding a datamanagement provider that can append contacts with correct information — in real-time. Not just that, but also ongoing data hygiene efforts to keep the incoming (and existing) information fresh.
commercial revenue surged 71% as Artificial Intelligence Platform (AIP) gains enterprise traction Deep government/defense roots benefit from heightened geopolitical tensions worldwide Clear AI differentiation has made it indispensable for data-driven decision making How AI Led Palantir From Slow Growth (13%) to Hypergrowth (49%!)
By streamlining expense tracking, improving control, and enhancing financial transparency, prepaid card programs are transforming the way businesses manage their expenses. Prepaid cards help simplify this process by providing digital records of every transaction, reducing errors and eliminating the need for manual data entry.
Balancing participation: They aim for 50/50 speaking time between HubSpot executive management and board members The result? ’ The twist this time is the data is very hard for startups to acquire or accumulate. .’ ’ The twist this time is the data is very hard for startups to acquire or accumulate.
In this post, I’ll take a data-driven approach in evaluating the overall group’s performance, and highlight individual standouts along the way. My hope is that this analysis can provide startup entrepreneurs with a framework for how to manage their businesses around SaaS metrics (e.g., net retention and CAC payback).
Generative AI is upending the way product developers & end-users alike are interacting with data. What can product managers and developers expect in the future with the widespread adoption of AI?
On Monday, at TC Disrupt Colin Zima CEO of Omni , Jordan Tigani CEO of Motherduck , Daniel Svnova CEO of Superlinked & Toby Mao CTO of Tobiko Data who are leading the evolution of the Post Modern Data Stack discussed the trends they are seeing. Most data workloads are quite small, about 100MB. Vectors power AI systems.
The Scoreboard: All 25 Public SaaS Companies Ranked I spent the weekend pulling YTD performance data for every significant public SaaS company. Here’s the full breakdown of 25 top public B2B / SaaS companies and what it means for your startup. Tier 2: Mission-Critical Infrastructure Average Return: +12.5%
Handling invoice print and mail in-house seems like a cost-effective and manageable process. From labor and equipment expenses to security risks and inefficiencies, managing this process internally can drain resources and divert attention from core business operations. Contact Usio today and optimize your print and mail operations.
The data, compiled by Stanford’s Venture Capital Initiative, shows IPO share of unicorn exits dropped from 83% in 2010 to just 11% in 2024—a fundamental restructuring of the exit landscape that has permanent implications for SaaS founders. The data is stark: IPO share of unicorn exits dropped from 83% to 11% between 2010 and 2024.
With so many voices competing for attention, you need a means of effectively dealing with all of the data that will come your way. How to make more strategic product roadmap decisions based on data, not opinions. In this eBook, we’ll show you: How to gather, prioritize, and select the best ideas from your customers and stakeholders.
When SaaStr Fund made the first investment in RevenueCat back in 2018, nobody could have predicted that this “simple API for managing in-app subscriptions” would become the infrastructure powering 33% of all mobile subscription apps and reach a $500M valuation in 2025. Managing Them Will Remain a Headache.
They provide a comprehensive solution that automates cloud infrastructure management, enabling development teams to deploy, scale, and manage applications without the traditional DevOps overhead. What Duplo Cloud Does : Duplo Cloud is the DevOps automation platform that eliminates infrastructure complexity for fast-growing companies.
The company later clarified it didn’t actually “replace” Salesforce with pure AI — it consolidated data onto its own tech stack using tools like Neo4j and built new interfaces. Industry observers like Josh Bersin remain skeptical about replicating complex systems like Workday’s payroll and compliance frameworks.
Early movers who consolidate now will have cleaner data and faster cycles when the technology catches up. AEs Want to Sell, Not Admin—AI Will Handle the Rest The Hard Data : Average AE spends only 28% of their time actually selling. CRM data accuracy sits at 47% across most sales orgs. The other 72%?
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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In May, we had a great conversation with Karl Alomar, Managing Partner at M13. This week we’re focusing on Peter Berg, Managing Partner at M12! #1. PAXAFE can ingest and analyze large volumes of data from IoT sensors, PDFs, unstructured log files, etc., Check that out here. What’s your most recent disclosed investment?
Theory’s rationale is that the CFO is tightening its purse strings and eliminating discretionary budget at the mid-manager level. It likely came from a mid-manager. However, when Theory layered in the actual data to see how much more efficient they were year-over-year, the numbers were between -4% and 4%.
Our audience is sophisticated — they want real insights, backed by real data. We use Claude to dive deep into complex topics, analyze data patterns, and uncover insights that would take our team hours to research manually. The dynamic charts it creates from our SaaStr data? That’s where Claude comes in.
Weinstein, and Managing Partner at Bain Capital Ventures, Aaref Hilaly, take the stage at SaaStr Annual to answer this question, plus what to expect with the future of AI. It starts with silicon chips, GPU, and data centers. Previously, we had enough data centers to power a lot of CPU computing needs. There isn’t just one model.
Storytelling is critical for turning data into meaning - your data (hopefully) helps you tell a story, that you can use for influence, persuasion, or simply decision-making. Use Product Management Today’s webinars to earn professional development hours! This doesn't just apply when you're selling.
Delivering great AI customer service depends on more than just sophisticated AI models – it relies on real-time data and access to business systems like CRMs, billing platforms, and past conversations. MCP integrations rely on two key roles: Clients (like Fin) that request and use external data.
It cascades down through middle management. The customer success manager who discovers a prompt that cuts response time in half. The product manager who finds an AI tool that streamlines user research. The goal isn’t to turn everyone into a data scientist – it’s to turn everyone into an AI-curious professional.
Their system can handle complex tasks such as negotiating with service providers on behalf of customers, though this requires careful management to ensure the AI remains truthful and effective. Impact on Business Operations Team Structure and Management The implementation of AI has led to interesting changes in organizational structure.
Marketing leaders face crushing expectations from all sides: Management wants leads Sales needs collateral Product needs launches The team wants career growth The instinct is to spread your resources across everything: blogging, analyst relations, PR, events, SEO, paid search, content marketing, and more. . The problem?
Speaker: Donna Shaw - Senior Product Manager & Eric Frierson - Director of Innovation for Public and School Libraries
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“The best hack,” Jason adds, “is not recruiting one management team. The best VP of sales or CRO is a constant recruiter because they need a bench of leaders, and they need managers and directors, and VPs and SVPs to come and go in the mix because the sales reps who might be good at $1m won’t scale to 10-20 M.
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.” What Revenue Operations Actually Means : “The operations team that supports the revenue function, which can support sales, design the quota, design commissions, and design go-to-market strategies and leverage data to make good strategies for the team.” We should make decisions, leverage data.
The Power of Horizontal Infrastructure NVIDIA’s genius was realizing that parallel processing wasn’t just for graphics—it was a fundamental computational primitive that could power: Gaming Scientific research Cryptocurrency AI/ML Autonomous vehicles Data centers For B2B: Look for the horizontal primitives in your vertical solution.
Fact: Only 8% of sales and marketing professionals say their data is between 91% - 100% accurate. of companies achieved a score indicating maturity in datamanagement practices in the space.". B2B organizations struggle with bad data. The primary takeaway? Forrester found “only 1.2%
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