Scaling Related Topics 
SaaStr
JULY 11, 2025
Dear SaaStr: What Are The Top Worries Founders Have As They Start to Scale? How To (Keep) Scaling Revenue: Many founders struggle with how to scale from $1M to $10M ARR, and then from $10M to $100M ARR. From Initial Traction to Initial Scale (~$10M in ARR): The Hardest Phase. Go find them. Ok, almost all founders.
SaaStr
NOVEMBER 19, 2024
Drata VP of Customer Success Management, Wen Yao, and VP of Customer Experience, Ashley Hyman, share how to scale customer success from 0 to 5,000 customers. When Drata took this approach, it helped them scale to 5,000 customers, all within 3.5 Every touch point matters, but you can’t scale like this.
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SaaStr
NOVEMBER 20, 2024
At this year’s SaaStr AI Summit, GitHub CRO Elizabeth Pemmerl shared how to bring AI products to market at scale successfully. With 90% of the Fortune 100 on GitHub and 40% of its $2B revenue coming from AI products, these real-world examples will also help you launch an AI-powered product at scale. The next horizon is scaling.
SaaStr
MARCH 16, 2025
He spent over eight years scaling their marketing from zero to supporting a multi-billion dollar public company. He came to SaaStr Annual to share his top learnings scaling Datadog’s GTM. Enlarge : Once validated, scale it up significantly to find the ceiling. Negotiate with vendors for smaller initial commitments.
Speaker: Kenten Danas, Senior Manager, Developer Relations
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0
SaaStr
JULY 20, 2025
Lessons from Ron Gabrisco, CRO at Databricks, who joined when the company had less than $1M ARR and helped scale it to become one of the largest pre-IPO companies in the world. Forgetting That Culture Scales Revenue The Mistake : Focusing only on processes and metrics while neglecting team culture. Do both 10.
SaaStr
JANUARY 6, 2025
One that surprised me a bit was that founders worry more about competition as they scale: 22% of founders worry about competition in the early days, but the swells to 50% at $50m ARR. Its everyone at scale, apparently. VC firm High Alpha and Paddle did a survey of what keeps founders up at night.
Advertiser: Vanilla Forums
As with all things related to customers, there’s an art and science to effectively dealing with each of their ideas. With so many voices competing for attention, you need a means of effectively dealing with all of the data that will come your way.
Advertiser: ZoomInfo
How tools like ZoomInfo Copilot can help teams sell smarter and win faster — at scale. In this eBook, we’ll cover: How today’s top sales leaders are incorporating AI into their go-to-market motions.
Advertiser: ZoomInfo
In this eBook, we’ll show you how marketing operations can create efficiencies in your tech stack, reporting, and budget that will not just improve internal processes, but also create the sustainability you need in order to scale.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Maintenance & Scaling 🚀 Follow best practices for ongoing updates and maintenance of LLMs post-deployment, and develop strategic approaches to scale your product to a broader customer base.
Advertiser: ZoomInfo
Key topics will include: Getting started: the "crawl" phase of ABM and its boundaries Unlocking the potential of the "run" phase and using the right strategy for scaling your efforts The essential components of an effective ABM tech stack within each stage Real-world insights from NetSPI's ABM journey with MarketingOS
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Unfortunately, even the most sophisticated organizations often lack clear strategies and processes for collecting and managing the voice of the customer at scale—or worse, they simply ignore this valuable source of data. What better source of insight into what those are and how they’re changing than your customers themselves?
Advertiser: Data Robot
And for those who are already underway, scaling their results across their organizations is completely uncharted waters. Many organizations are dipping their toes into machine learning and artificial intelligence (AI). However, for most organizations embarking on this transformational journey, the results remain to be seen.
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