SaaStr

SEPTEMBER 8, 2019

You can back into it. Ultimately, in most SaaS models, in the U.S., sales reps will take home about 20% of the total deal value they close. In the early days, especially if the company is venture-backed, it might be more, as much as 30% or even a smidge higher with accelerators, etc. VC dollars are there to accelerate growth, and if paying a bit more to the sales reps helps there, that can often be worth it.

Scale 185

Scale SMB SaaS Sales 185

Andreessen Horowitz

SEPTEMBER 8, 2019

There’s been a lot of talk about the need for our healthcare system to shift away from volume and fee-for-service, where you pay by appointment, procedure, etc, to value-based care, where you pay for both quality and outcomes—essentially, good health.

Healthcare 69

Healthcare Payment Solutions Payment Services 69

Hull

SEPTEMBER 8, 2019

It’s 3 AM. My alarm goes off and I groggily climb out of bed and crack open my laptop. One of our biggest customers needs their data delivered by 9 AM, and I’m getting up before sunrise to triple-check every data point before their delivery. Even with our robust data platform, built with hundreds of data audits, the complexity in this particular delivery for this customer is just too high to feel 100% confident that we’ve captured all potential issues.

Data 58

Data Identity management Underperforming Technical Team Travel 58

Teamgate

SEPTEMBER 8, 2019

Sales CRM can really help in writing branded content as you are able to store all the personal information of your customers. However, it can also help you reduce costs or save money for your organization. Here are eight ways how you can do this. 1. Work on a Single System. A customer relationship management program of any kind enables you to work on a single system keeping all of your tasks in one place.

Scale 75

Scale Sales Acquisition Development 75

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Innovation