6 min read
What Does RevOps Actually Bring to the Table for Bootstrapped B2B Startups?
Our team recently met with the CEO of a B2B tech company in Atlanta. Bootstrapped. ~$10M ARR.
3 min read
How to Scale Your B2B Startup Faster With Go-to-Market Data
Every SaaS company wants to scale their business; few companies know how to do it effectively and efficiently. Scaling requires executive and revenue...
Tangible Ways RevOps Can Provide Strategic Value to the C-Suite
How can RevOps leaders get a seat at the executive leadership table? Here’s a secret: The revenue operations team often knows more about the tactical...
2 min read
What Does Go-to-Market Data Have to Do With My B2B Startup's Valuation?
A grueling part of the venture capital or private equity fundraising process is the due diligence phase. Potential investors will typically open up...
This is Why Periodic CRM Data Cleanups Fail
Have you ever had to clean up your CRM? If you’re like most RevOps leaders, it’s a regular chore to audit CRM data and ensure all the data is...
Breaking Down the Issues With Multi-Touch Attribution Reporting
Multi-touch attribution gets a lot of attention from marketing teams, but how much of it is necessary? For all of the hype around attribution models...
2 min read
3 Reasons Why GTM Data is Closely Linked to B2B Startup Growth
It's common to think of data as just an operational component for sales and marketing teams. But did you know that the quality of your data can...
How to Best Figure Out Your Tech Company's Competitive Positioning
An important part of growing a company is having a solid brand. Among the many things to tackle when brand building is figuring out the optimal way...
Two Types of GTM Data That Help Growth-Stage Companies Compete
Go-to-market data can be defined as data captured in your go-to-market tech stack (your CRM, marketing automation, or sales enablement tools). But...
3 min read
Why B2B Revenue Leaders are Falling for the Myth of Being "Data-Driven"
Has there been any phrase more overused in business lexicon over the last two decades than “data-driven”?