SaaStr
MARCH 24, 2025
Some fun facts: 10+ years of SaaStr conference attendance Partner at Point Nine Capital, a leading early-stage VC firm Geographic reach: Actively investing across Europe, US, and Australia Notable portfolio: Zendesk, Algolia, Contentful, Loom (and many more) Known for his “five ways to build a $100M business” framework The 5 Key Things (..)
Tom Tunguz
FEBRUARY 27, 2023
Anyone who has managed a larger BI deployment has faced the challenge of managing hundreds, perhaps thousands of metrics. In the BI tool, a marketing analyst finds three metrics: cost_of_customer_acq, CAC2, & new_CAC. Data brawls - disputes between teams about metrics definitions - break out. Give it a try here.
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SaaStr
OCTOBER 30, 2024
So we’ve covered HubSpot more than any other SaaS leader on this 5 Interesting Learnings series, in part because so many of us use HubSpot ourselves, and in part because its metrics and use cases are so like many of the apps we build and sell ourselves. 5 More Interesting Learnings then: #1. I think for many today, this would be late.
Tom Tunguz
MARCH 28, 2021
Robots read pdfs that customers provide and input that data into other computer systems. Customer support teams might use RPA robots to read the contents of an email, find an order number, look up the order, and present the support agent with some key data. Some examples include streamlining customer onboarding.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
Clouded Judgement
JULY 16, 2024
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. You can some metrics below based on different share prices.
SaaStr
JANUARY 20, 2021
The thing is, sales is variant, and sales pipelines have big data quality issues — and worse, sales as a metric is a lagging indicator. If you set as a top corporate metric growing your LVR about 10-20% greater than your desired MRR growth — and you have a consistent sales team — you’ll hit your revenue goals.
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Product teams have access to tons of data these days—volumes more than we’ve ever had before. Overcoming it requires knowing exactly which metrics are the most important to track. But the sheer scale of what's available has many of us at a loss for how to best harness it all to measure product success.
Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager
Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. To accomplish this, product teams must regularly evaluate specific metrics that will yield the most insight.
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This whitepaper discusses how automated business monitoring solutions like Yellowfin Signals revolutionize the way users discover critical and relevant insights from their data. Download to learn: 5 business benefits of automated data discovery with ABM. The evolution of dashboards to automated business monitoring.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity?
Speaker: Edie Kirkman - VP, Digital at Focus Brands
To overcome this challenge, it is crucial to build core product and technology competencies that provide actionable insights through qualitative and quantitative data analysis. By leveraging data-driven insights, companies can accelerate time-to-market, enhance product quality, and align offerings with customer needs.
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We’ve all got loads of data at our fingertips. Which metrics are the most valuable to keep an eye on? In this eBook, we share the top 10 KPIs every product pro should know. Some of them might already be familiar to you, but others will be brand new.
Advertiser: ZoomInfo
Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.
Advertiser: Data Robot
Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models.
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