Getting conversational sales wrong can sink a young company.
When I first tried scaling our sales team, I failed miserably. It wasn't until we implemented conversational sales that everything clicked. Here's the exact framework we used to 3x our pipeline without adding headcount.
The Counterintuitive Truth
In conversational sales, the best practitioners often do less, not more.
Trying to do everything at once is one of the most common ways to fail: even a team with strong technology and talent can spread itself too thin.
The lesson: the market doesn't care about your roadmap. It sounds simple. It's incredibly hard to execute.
What I've Learned From 104 Companies
A few patterns in conversational sales come up again and again.
The founders who handle conversational sales well understand that your team matters more than your technology.
Real Talk: What Actually Matters
Here is what actually matters in conversational sales.
First, execution speed beats perfection. Every time. Companies rarely fail because they moved too fast on conversational sales. Many fail because they moved too slowly.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. It sounds obvious, but many founders make decisions about conversational sales in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around sales forecasting AI, deal scoring AI, conversational sales AI, AI CRM that I've been thinking about a lot lately.
The Bottom Line
None of this is rocket science. But it does require intentionality, consistency, and a willingness to learn from mistakes.
If you take one thing from this article, let it be this: start now, start small, and iterate. The founders who win at conversational sales aren't the ones with the best strategy on paper. They're the ones who execute, learn, and adapt faster than everyone else.
Companies that take conversational sales seriously tend to pull ahead of the ones that don't.
If you're working on something interesting in this space, I'd love to hear about it. Drop me a line.
Frequently Asked Questions
Q:How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.
Q:What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 234 startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
Q:What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.