SaaStr

JANUARY 29, 2021

Because SaaS requires so many functions beyond engineering, especially if it’s sales-driven … outbound, SDRs, inbound, field sales, marketing, customer success, support, more complex product management, etc. >> OK we’re up to ~70 without a single engineer! Director Demand Gen. PagerDuty is tiring.

Sales Hiring 350

Sales Hiring Headcount Scale Engineering 350

SaaStr

DECEMBER 14, 2021

At $5 million ARR, the positioning shifted to a “big data-as-a-service” platform. The product grew more mature, with three main functions: data collection, data warehouse, and data analysis. . As Ohta says, “Around 2014 in Q4, we were about to cross a $2.5 Yet, it was all worth it in the end.

Sales Hiring 312

Sales Hiring Data AWS Leadership 312

Tom Tunguz

JANUARY 14, 2021

Cloud Data Lakes are the future of large scale data analysis , and the more than 5000 registrants to the first conference substantiate this massive wave. Cloud data lakes are a key technology enabling the innovation in analytics and machine learning. Data engines query the data rapidly, inexpensively.

VP of Engineering 203

VP of Engineering Cloud Data AWS 203

User Pilot

FEBRUARY 28, 2024

It’s possible to bring traffic from social media and search engines to your sales funnel. Detailed analytics : Access real-time data on your funnel and SaaS marketing campaigns. It also aids in projecting future business performance with historical data and trends.

Payment Solutions 105

Payment Solutions Data Analysis Software Review SaaS Payments 105

Tom Tunguz

NOVEMBER 8, 2023

First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data. Analysts will use automated data analysis, and it will be an expected tool in every product : notebooks, BI, databases, etc.

Artificial Intelligence 228

Artificial Intelligence Trends Data Software Review 228

Tom Tunguz

JULY 27, 2023

AI will automate 25-50% of white collar work including data analysis. Does that will data teams shrink in size? On the contrary, while AI can automate some work, it will also demand much more from data teams. Typical tasks - writing SQL & charting data - will become mostly automated.

AI 186

AI Data Data Analysis compliance 186

Tom Tunguz

DECEMBER 3, 2023

Every Customer is a Design Partner - Leading Your Sales Motion with Sales Engineering. I argued that the best sales processes are sales engineering sales. The Paradox of AI and Data Roles: How Automation Will Increase Demand for Data Professionals.

Artificial Intelligence 192

Artificial Intelligence ChatGPT Generative AI AI 192

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. Third, LLMs could replace search engines if their indexes contain more recent or evergreen data for summarization searches but not for exhaustive ones.

ChatGPT 200

ChatGPT AI Search Artificial Intelligence Data Analysis 200

Tom Tunguz

FEBRUARY 16, 2016

Most modern data architectures employ many different data stores and processing engines. Data analysts looking to unearth insights within these data stores must move data back and forth between different systems and different data formats. ” Arrow promises data engineers three things.

Data 100

Data Data Analysis Engineering Innovation 100

IT World

MARCH 22, 2023

Chatbots built atop large language models (LLMs) such as GPT-4 hold tremendous promise to reduce the amount of time knowedge workers spend summarizing meeting transcripts and online chats, creating presenations and campaigns, performing data analysis and even compiling code. But the technology is far from fully vetted.

Artificial Intelligence 108

Artificial Intelligence Innovation AI Search Data Analysis 108

User Pilot

JULY 16, 2024

On the other hand, a technical product manager brings in-depth technical knowledge to guide the development process , often working closely with engineering and design teams. Facilitate collaboration between the product owner and the engineering team. Create a product roadmap so you can prioritize features more easily.

Management 111

Management Engineering Data Analysis Software Development 111

Tom Tunguz

DECEMBER 2, 2015

For example, a data engineering role may require familiarity with data analysis tools. The same data analysis job would require an ability to learn new technologies and simplify complex data into comprehensible insights for the rest of a team.

Sales Recruiting 113

Sales Recruiting Startup Sales Hiring Data Analysis 113

Neil Patel

OCTOBER 30, 2020

But AI SEO may be changing the way marketers help their sites rank high on search engine results pages (SERPs). AI has become a core component of major search engine algorithms, including Google’s Rankbrain and BERT. This factor means if you understand AI and how it impacts search engines, you can boost your SEO using AI.

AI Search 140

AI Search Artificial Intelligence AI Scale 140

Neil Patel

JUNE 7, 2021

With the continuous growth in artificial intelligence (AI) and the ever-collecting stores of data, there’s a better way to view and use existing marketing data. While many online tools promise functionality to allow users to see data in a whole new way, search engine Wolfram Alpha actually delivers. Interested?

Market Research 129

Market Research AI Search Marketing Advertising 129

Intercom, Inc.

OCTOBER 29, 2019

At Intercom, we have benefitted from customer segmentation in these ways: Describing customers in a common way across go-to-market, product, and engineering. Leadership: Create a shared language for product, engineering, and go-to-market to describe customers. Beyond a certain size, it’s impossible to do without.

Business 184

Business B2C Scale Headcount 184

User Pilot

JULY 14, 2024

Here’s a quick rundown of their key tasks: Data Acquisition and Sorting : They help gather information from various sources like sales figures, customer surveys , and in-app behavior. This data often needs cleaning and organizing to ensure it’s accurate and usable. Consider courses on DataCamp or Codecademy.

Artificial Intelligence 98

Artificial Intelligence Business Payments Sales Recruiting 98

User Pilot

MAY 27, 2024

Tableau for advanced data analysis Geographic visualization on Tableau. When it comes to advanced data analytics and visualization platforms, Tableau is one of the market leaders. The no-code user tracking software caters to a broad spectrum of users, from marketers and product developers to data scientists.

Artificial Intelligence 104

Artificial Intelligence Machine Learning Data Analysis Pricing 104

SaaStr

DECEMBER 26, 2019

We use HubSpot, Salesforce, Blueshift for human marketing, we have Xavier, so Amplitudes, a Tablo for data analysis. Like interoperability with like engineers and with marketing. But for example, if I look at my past two companies that Drift at Segments, I was the only marketer and the rest of my team was engineers.

Sales Hiring 194

Sales Hiring Payment Methods Payment Solutions Marketing 194

Tom Tunguz

OCTOBER 23, 2016

A better chat experience ; a data modeling layer for data analysis, near-instant transcription of expenses. It could be the dawn of search engine marketing, mobile app store distribution, enterprise apps or distribution, relationships with a key distribution channel, or novel marketing tactic. Dropbox refer-a-friend.

Startup 113

Startup Banking Data Analysis Innovation 113

Tom Tunguz

FEBRUARY 19, 2014

These teams are by nature technical, often performing significant data analysis to maximize return-on-investment of their marketing spend. This data informs the product and engineering roadmap. Quantitative Marketing - aka growth hacking, is the team reponsible for marketing qualified leads (MQL).

Sales Hiring 100

Sales Hiring Startup Growth Hacking Marketing 100

User Pilot

MARCH 24, 2025

You will collaborate with engineering, design, and business teams to deliver cutting-edge mobile solutions that improve efficiency, user adoption , and overall product performance. Bachelor’s Degree in Engineering, Computer Science, or related fields and/or experience in related fields is preferred.

Mobile 52

Mobile Underperforming Technical Team Management Scale 52

User Pilot

JULY 29, 2024

TL;DR Marketing analytics is the process of gathering, analyzing, and interpreting data related to marketing activities. It cuts across all marketing initiatives, including social media marketing, search engine marketing, in-app campaigns , and so on. Begin by determining the key metrics that align with your marketing goals.

Marketing 105

Marketing Software Review Social Media Technical Review 105

User Pilot

JANUARY 14, 2024

A degree in business, marketing, computer science, engineering, and data science can give you the foundation for a typical career path in product management. Many product leaders have a background in development, marketing , sales, customer support , UX design , and data management. Product managers are relatively well-paid.

VP of Engineering 105

VP of Engineering Management Underperforming Technical Team Compensation 105

User Pilot

NOVEMBER 20, 2023

TL;DR Technical product managers work with engineering and development teams on the technical performance of software products. To become a TPR you don’t need a degree in software engineering, but it will definitely help. However, you need the right mix of technical and leadership skills. What is a technical product manager?

Management 105

Management Software Development Engineering Market Research 105

Valuize Consulting

NOVEMBER 19, 2024

Predictive Lead and Health Scoring : CSPs and Revenue Intelligence Platforms analyze historical, conversational, and behavioral data to prioritize clients who are most likely to churn or expand their business relationship.

B2B 52

B2B Artificial Intelligence Machine Learning Outsourced Development 52

User Pilot

JULY 20, 2024

Supplement your education with courses in user experience (UX) design , research methodologies, and data analysis. Collaborate with cross-functional teams : Work closely with design, product, marketing, and engineering teams to align strategies and ensure a unified approach to user experience.

Scale 94

Scale User Experience Data Analysis Education 94

Tom Tunguz

SEPTEMBER 21, 2014

Sometimes, teams buy a Tableau server license to collaborate internally on data analysis. We will explore revenue growth, average revenue per customer, sales efficiency, payback periods, net income, gross margin and engineering spending. Over time, colleagues within the company see the software and purchase it for themselves.

Benchmarks 100

Benchmarks SaaS Payments Metrics Scale 100

FastSpring

APRIL 26, 2022

When thinking through your pricing model and your customer success strategy, it’s worth trying to engineer negative churn into your startup.”. Next Level Churn Rate Analysis: Who and Why. On a high level, a churn analysis is simply analyzing the rate at which you are losing customers.

Benchmarks 147

Benchmarks Churn Payments SaaS Payments 147

SaaSX

FEBRUARY 11, 2020

It creates company-wide alignment across teams—from engineering to sales and marketing—around the product as the largest source of sustainable, scalable business growth. Tracking and measuring product usage is essential for PLG, as well as using the data across your whole business to drive growth. Product-led.

Trends 120

Trends Artificial Intelligence SaaS Mobile 120

Intercom, Inc.

DECEMBER 12, 2018

Intercom’s blog is the growth engine that powers much of Intercom’s marketing and it in turn is powered by WordPress. You could look at your AdWords dashboard within your account, but with a BI solution, you could look at AdWords, Marketing Automation and CRM data in one visualization to get a complete view of your marketing efforts.

Technical Review 223

Technical Review Technology Scale Marketing 223

How To Buy Saas

APRIL 8, 2024

Now, before we jump to the idea that software engineers will soon be relics of the past, let’s hit pause. They’re changing the game on how engineers work and the kinds of projects they dive into. Let’s peel back the layers on what low-code and no-code tech means for the software engineering world.

Software Engineering 40

Software Engineering Engineering Software Software Development 40

User Pilot

JANUARY 20, 2024

Depending on the problem, you may seek input from data analysts , customer success managers , developers/engineers, or the sales and marketing teams. This step involves a combination of further data analysis, experimentation , and logical deduction to confirm or refute each hypothesis.

Technical Review 115

Technical Review Management Software Review Data Analysis 115

User Pilot

NOVEMBER 23, 2023

Data analysis is vital for informed decision-making. Data analysis and decision-making It’s difficult to imagine the work of a SaaS PM without product analytics. If you’d like to learn how Userpilot can help you develop your data analysis and customer research skills, book the demo!

Management 105

Management Technical Review SaaS Leadership 105

User Pilot

SEPTEMBER 14, 2023

Data product managers focus on leveraging data for product development. Technical product managers build products with strong technical or engineering elements. TPMs normally have a strong technical background which enables them to work effectively with developers and engineers.

Management 105

Management AI Leadership SaaS 105

Unbounce

JUNE 24, 2020

Amazon, for example, runs on a recommendation engine that’s been driving significant business value for more than 20 years. The good news is that today’s marketers can similarly take advantage of AI-powered recommendation engines on a more affordable scale. From the early days of user-based collaborative filtering (i.e.,

Artificial Intelligence 145

Artificial Intelligence AI Search Machine Learning Marketing 145

User Pilot

JANUARY 31, 2024

Zoho Analytics is a business intelligence and analytics platform offering many features to meet diverse data analysis requirements. It's designed for diverse teams, including product management, engineering, marketing, and customer success. Segments in FullStory. Example dashboard from Zoho Analytics.

Management 105

Management Scale Software Review SaaS 105

Unbounce

JULY 5, 2023

AI analytics is a helpful—nay, an essential companion for any marketer that wants to squash the competition by harnessing the power of data to gain valuable insights that drive business growth and innovation. How is AI data analysis used in marketing? Sorry, what were we talking about? Efficiency of AI in analytics.

Artificial Intelligence 98

Artificial Intelligence AI Search AI Machine Learning 98