SaaStr

NOVEMBER 15, 2022

Metrics are the key to evaluating success and setting goals, but not every SaaS business should orient itself around the same one-size-fits-all numbers. This flexible mindset creates just the right conditions for embracing evolving business models and new metrics. as a common language to analyze a cloud business.

Metrics 277

Metrics Artificial Intelligence Machine Learning Technical Review 277

Sales Hacker

MARCH 18, 2020

Informed and actionable business decisions now happen easily, thanks to artificial intelligence (AI) and machine learning (ML). In fact, PWC’s global artificial intelligence study reveals that artificial intelligence has a potential contribution of $15.7 trillion to the world by 2030.

Artificial Intelligence 123

Artificial Intelligence Machine Learning Scale AI 123

SaaStr

APRIL 26, 2024

Culture Structure You want a culture of checking results and having metrics to evaluate those results from the LLM or a more traditional model. You want a culture that focuses on your metrics and evaluating what’s important to you. Whatever the metric is, you have to translate that into a concrete metric.

AI Search 293

AI Search AI Artificial Intelligence Scale 293

Tom Tunguz

JULY 30, 2020

Each team, using their data systems, develops their proprietary data products: analyses, dashboards, machine learning systems, even new product features. Modeling the data to ensure there is one centralized definition of every metric with an owner, a lineage, and a status. Data systems rely on data from other teams.

Trends 361

Trends Data Artificial Intelligence Machine Learning 361

SaaStr

JULY 31, 2020

The technology is based on leveraging AI (Artificial Intelligence) models and algorithms. Here are just some of the metrics: Cold calls have dropped 20% overall. And some of the marquee customers include MongoDB, Gitlab and Qualtrics. . Chorus’s AI has reveled some interesting insights from the data.

Scale 359

Scale Artificial Intelligence Payments Payment Services 359

Clouded Judgement

AUGUST 25, 2023

Our modern and intuitive SaaS platform combines our proprietary data and application layers into one vertically-integrated solution with advanced machine learning and artificial intelligence capabilities.

Benchmarks 246

Benchmarks Artificial Intelligence Data Software Review 246

User Pilot

MAY 10, 2023

Apart from artificial intelligence itself, AI is often referred to as Deep Learning and Machine Learning (ML) technologies and Natural Language Processing (NLP). This includes processing both quantitative metrics, like NPS or CSAT , as well as qualitative feedback. What do we mean by AI?

Artificial Intelligence 98

Artificial Intelligence AI Management Machine Learning 98

Clouded Judgement

JULY 16, 2024

With embedded applied AI and machine learning technologies built specifically for Finance, our platform automates and streamlines workflows, accelerates analysis and improves forecast accuracy, equipping the Office of the CFO to report on, predict and guide business performance. This implies roughly a $4.2 - $4.8b NTM revenue multiple.

Benchmarks 295

Benchmarks Data Artificial Intelligence Machine Learning 295

Clouded Judgement

FEBRUARY 7, 2025

These seem like perfect fits for LLM based applicatiosn. Perfect for a LLM! Given most software companies are not profitable, or not generating meaningful FCF, it’s the only metric to compare the entire industry against. I created this subset to show companies where FCF is a relevant valuation metric.

Systems Review 144

Systems Review Cloud AI Artificial Intelligence 144

Tom Tunguz

MARCH 1, 2021

A company with this architecture will map out the customer journey sufficiently well to develop proxy metrics , leading indicators of customer behavior. This in turn encourages more SaaS applications, BI systems, and machine learning systems to rely on the CDW as a backend and single integration point.

Data 363

Data Artificial Intelligence Machine Learning SaaS 363

SaaStr

APRIL 8, 2020

Click here for ChartMogul’s free-forever launch plan that will give SaaS businesses access to the world’s first subscription data platform so they can analyze and improve key metrics like MRR, churn and LTV. UruIT’s Free Machine Learning Consultation. What are they all about? Where can I find the deal?

Artificial Intelligence 307

Artificial Intelligence Machine Learning SaaS Consulting 307

TechEmpower SaaS

JULY 24, 2023

What are your key Startup Metrics ? Artificial Intelligence Does your application leverage AI in any way? Analytics/Metrics What key startup metrics will you need to track? What metrics will you need for future funding rounds or operations? How will you be taking this to market? Ads, Viral/Social, SEO)?

Innovation 780

Innovation Development CTO Hire Technical Review 780

Intercom, Inc.

DECEMBER 8, 2020

This is where metrics can be invaluable, giving clarity on performance, and circumventing potential issues. But with so much data to consider, how can you define the help desk metrics that matter for your team? What are help desk metrics? Help desk metrics vs. KPIs. Ticket volume or total conversations.

Customer Support 211

Customer Support Metrics Technical Review Scale 211

SaaStr

NOVEMBER 20, 2024

Other places this feedback loop worked well were: Adoption loop metrics. Customers crave metrics about how teams are using all AI products. They ended up shipping Copilot for Business for non-GitHub Enterprise users, which was a commercial success. Deciding where you don’t want to spend your time.

Scale 264

Scale AI Scaling Marketing 264

SaaS Metrics

JULY 26, 2024

As you navigate the realm of online casino gaming, have you ever considered the profound influence of Artificial Intelligence on your gaming experience? The intricate web of algorithms and machine learning. Read more The post The Impact of Artificial Intelligence on Online Casino Gaming first appeared on SaaS Metrics.

Artificial Intelligence 52

Artificial Intelligence Machine Learning AI Metrics 52

SaaStr

MARCH 9, 2025

Building separate AI interfaces can create unnecessary tech debt and learning curves. Meeting intensity KPI challenge : Sometimes AI efficiencies can reduce a company’s core metrics (like Calendly’s “meeting intensity”), requiring leadership to make conscientious decisions about value tradeoffs.

AI 207

AI Scale Education User Experience 207

SaaStr

MAY 17, 2024

What Metrics Matter Most for Your Roadmap As you put your roadmap together, what should you look at? What metrics and outcomes matter most? So, when looking at metrics for success, you have to look at what’s driving the business forward. The faster you learn, the faster you get to confidence, and the sooner you win.

Scale 304

Scale Technical Review Sales Hiring Artificial Intelligence 304

SaaStr

MARCH 1, 2024

The number of patents filed in 2021 in Artificial Intelligence was 30x the number published six years earlier. We’re on the cusp of a golden age in AI, and the lesson learned from Cloud was that Cloud sped up the pace of development by a lot. Take out your P&L or metrics dashboard and go through every metric.

Generative AI 298

Generative AI Outsourcing Services AI Software Review 298

SaaStr

OCTOBER 30, 2023

For some context on the company, Weights & Biases is an AI developer platform to help train and deploy all Machine Learning models. Capturing learnings from those experiments and converting them into playbooks. Set a North Star Metric Be really obsessive about measuring your North Star metric.

Scale 277

Scale Scaling AI Search Social Media 277

Tom Tunguz

JULY 8, 2020

This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. Cloud Data Lakes are a trend we’ve been excited about for a long time at Redpoint.

Data Analysis 258

Data Analysis Cloud Data Scaling 258

SaaStr

JULY 3, 2024

The bar is high, and you probably won’t be the best at building a fully generalized LLM model unless you’re Anthropic, OpenAI, or Google. “Today, you want to be very intentional about what narrow slice of AI you can be uniquely the best in the world at,” Victor says.

Enterprise 298

Enterprise AI Search AI Artificial Intelligence 298

SaaS Metrics

NOVEMBER 26, 2021

And right now, they are doing their best to integrate it with cars, alongside artificial intelligence (AI) and machine learning (ML). The post Breaking Down the Pros and Cons of Having a Built-in IoT System in Your Car first appeared on SaaS Metrics.

Artificial Intelligence 97

Artificial Intelligence Machine Learning AI Technology 97

SaaStr

MARCH 12, 2025

Though … that does sound a bit high More on that here: 5 Interesting Learnings from Salesforce at $40 Billion in ARR Now honestly I think Salesforce is exaggerating a bit or maybe at least flattering the metrics a smidge. What Intercom, Gorgias, Zendesk, etc.

Customer Support 207

Customer Support AI Software Engineering Engineering 207

User Pilot

JULY 20, 2023

The undeniable advances in artificial intelligence have led to a plethora of new AI productivity tools across the globe. Best AI tools to analyze data: Microsoft Power BI: business intelligence tool using machine learning. MonkeyLearn: analyze your customer feedback using ML. Brand24: AI tool for social listening.

Artificial Intelligence 98

Artificial Intelligence AI Search AI Software Review 98

Clouded Judgement

NOVEMBER 10, 2023

When they started using large language models from OpenAI, the gross margin on the same product went to -100%! At the end of the day, these large language models are quite expensive! I created this subset to show companies where FCF is a relevant valuation metric. yes, that’s negative 100%).

Cloud 190

Cloud Artificial Intelligence GCP(Google Cloud Platform) AI 190

Tom Tunguz

MAY 29, 2023

I’ve been using large-language models (LLMs) most days for the past few months for three major use cases : data analysis, writing code, & web search 1. Second, coding LLMs struggle to solve problems of their own creation, turning in circles, & debugging can require significant work.

ChatGPT 200

ChatGPT AI Search Artificial Intelligence Data Analysis 200

SaaStr

NOVEMBER 12, 2022

Especially when some other crappy company just got funded last week with worse metrics. You need to fit into Big Data, into Machine Learning, AI, or B2D tools, or whatever. But then, once they get to say $1m+ ARR, growing 15%, 16, 20% a month — why isn’t every VC they meet offering a term sheet?

Scale 344

Scale Sales Recruiting Machine Learning Artificial Intelligence 344

SaaS Metrics

SEPTEMBER 2, 2024

With machine learning revolutionizing SaaS analytics, what challenges will you face in integration and how can overcoming them reshape your data strategy? The post The Role of Machine Learning in SaaS Analytics first appeared on SaaS Metrics.

Artificial Intelligence 52

Artificial Intelligence Machine Learning SaaS Metrics 52

Tom Tunguz

JANUARY 14, 2021

Cloud data lakes are a key technology enabling the innovation in analytics and machine learning. Data modelling companies create single definitions of metrics for consistency across organizations. On top of these lakes, data movement companies move data to the right consumers.

VP of Engineering 203

VP of Engineering Cloud Data AWS 203

Intercom, Inc.

MARCH 2, 2021

It also uses machine learning to suggest relevant topics for you to explore, allowing you to stay on top of what’s top-of-mind for your customers, quickly identify any blind spots to watch, and get key insights you can leverage with proactive support.

Artificial Intelligence 248

Artificial Intelligence Machine Learning Customer Support Data 248

User Pilot

SEPTEMBER 7, 2023

To collect both quantitative and qualitative data, you should use user surveys, event analytics , and dashboards to track core metrics. Adopting artificial intelligence and matching learning involves harnessing predictive analytics to prevent churn and using AI chatbots and messaging to improve user experiences.

Artificial Intelligence 105

Artificial Intelligence Trends Technical Advisors Machine Learning 105

Intercom, Inc.

FEBRUARY 24, 2021

What’s more, conversation topics also uses powerful machine-learning analysis of your customer conversations to generate suggested topics for you to explore, ensuring you get a deep understanding of the various topics of concern to your customers. Intercom’s new conversation topics feature.

Operational efficiency. 243

Operational efficiency. Software Review Artificial Intelligence Machine Learning 243

Intercom, Inc.

MAY 20, 2021

Our conversation covered a lot of ground, from our distorted understanding of engagement metrics to how and why engineers should seek to design features that enhance human senses rather than exploiting them. A wide-ranging and richly thought-provoking episode. Intercom’s Fergal Reid and Ciaran Lee on the making of Resolution Bot.

Artificial Intelligence 211

Artificial Intelligence Machine Learning Innovation Interviewing 211

Tom Tunguz

FEBRUARY 13, 2023

Turning to our customer metrics in the fourth quarter. But it may also suggest that many resellers with large sales teams looking to sustain their transactional businesses are able to drive additional software bookings. From a geographic perspective, the U.S. represented 53% of revenue and increased 44% year-over-year.

Cloud 243

Cloud Azure Headcount Software Review 243

Tom Tunguz

OCTOBER 25, 2022

Metrics layers will unify the data stack. The second fork, the machine learning stack, is identical save for the outputs: model serving & model training. Large language machine learning models will change the role of data engineers. The Decade of Data Continues.

Data 167

Data Artificial Intelligence Machine Learning Software Engineering 167