Revenue operations is a fairly new discipline but you'd think it has been around long enough to agree on what it is, who it should support, and how it should be structured.
As it turns out, even the experts can't agree on the fundamentals. In true RevOps form, our answer to most questions is, "It depends."
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There are so many varieties of RevOps out there that it's hard to break them into categories. What they do, who they support, and how they approach go-to-market are varied.
However, there are some consistencies.
Revenue operators are adept at adapting. Give them a scenario and they'll find a solution.
Humans are complicated. But for some reason, many of us jump to AI or a software package as the solution to all of our problems.
It's just never that simple.
Hear how 10 experts view these tools. They share what works, what has been a disaster, and why they're still testing out AI - even for use cases that didn't work for them in the past.
Many experts reported the same struggles people were trying to solve with software years ago. So what's the holdup?
It turns out that some problems have more to do with politics and interdepartmental tension than a true process and systems issue.
The good news is that we're seeing more consolidation in the market and maybe executives will see the light and start playing a more active role in managing behavior instead of hiding behind tech. (Someone had to say it.)
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