SaaStr

DECEMBER 14, 2021

The reality was that they were heavily relying on the enterprise deals closed by the leadership team. 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. .

Sales Hiring 272

Sales Hiring Data AWS Leadership 272

ChurnZero

SEPTEMBER 30, 2021

For example, I think of AWS. Whenever the VP of Sales came to a meeting about numbers and data and metrics, whatever reporting, he never showed up without his sales operations. I was constantly expected to do all my own data analysis and had to show up just as prepared. I never had that person.

Customer Success 52

Customer Success Scale Sales Hiring Revenue 52

ProfitWell

SEPTEMBER 25, 2019

One of the most famous lines from Citizen Kane is, “It's no trick to make an awful lot of money, if that's all you want is to do is make a lot of money.” Moreover, PPU kills your Monthly Active User metric. If only that statement were as true as it seemed. Regardless of what you produce, administrative overheads will also apply.

Payments 40

Payments Revenue Payment Methods SaaS Payments 40

User Pilot

AUGUST 16, 2023

What’s more, data visualization tools allow them to communicate ideas clearly with stakeholders that may not be involved in product development directly, like senior leadership. What are the challenges of data democratization? Standardization of all the metrics different teams use could be the first step in the process.

Data 87

Data Technical Review Government Data Analysis 87

SaaStr

MARCH 31, 2024

So, we feel that every single quarter, anonymously, globally, and we get huge participation, we get a whole lot of feedback, and then the hard work begins, which is we share every single data point, every open ended response, every piece of feedback that people say, “Dharmesh did a terrible job.” It’s really tough.

Part-Time CTO 264

Part-Time CTO CTO Hire CTO Coach CTO 264