The way B2B sales teams go to market has been quietly breaking down for years. Most people in revenue operations can feel it, even if they can't always name it.

Quotas keep growing. Headcounts keep shrinking. And the tools that were supposed to solve everything have, in many cases, made things worse.

I've spent the last fifteen-plus years working with more than a hundred sales teams, helping them build and refine their go-to-market approach.

Before that, I was in the trenches myself, closing around 600 customers in two years at Trustpilot as one of the earliest salespeople on the team. That experience, built on deep research and genuine curiosity about the people I was calling, shaped everything I believe about how sales should work.

So when I look at the state of outbound today, I'll be honest: a lot of what I see concerns me. But I also see a real path forward. And it runs through AI agents, used in the right way.

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How we got here: the slow erosion of effective outbound

Let me take you back to when cold outreach actually worked.

When I was selling at Trustpilot in the early days of e-commerce, I had a genuine edge: I'd founded an e-commerce startup that failed spectacularly after eleven months, so I was deeply, personally curious about how other e-commerce businesses were succeeding where I hadn't.

Every call I made, I'd already researched the company thoroughly. Within the first twenty seconds, we were having a peer-to-peer conversation, not a pitch. That research-driven, customer-centric approach meant prospects felt understood from the start, and that made all the difference.

Two things were true back then that aren't true anymore. First, email was a quiet channel. Getting a cold email felt notable. People read them. Second, salespeople were information holders. Buyers had to engage with reps to learn about trends, solutions, and market shifts. That gave us leverage.

Neither of those things is true today.

Email inboxes are overwhelmed. Data is completely commoditized. There's a new ZoomInfo competitor launching every other week, and your prospects are working from the same lists you are. COVID accelerated the problem by pushing everyone onto email and LinkedIn automation at the same moment, flooding both channels simultaneously.

And then AI arrived. In theory, it should have helped. In practice, for most teams, it's made the noise worse. We've all seen the AI-generated emails with the long em dash, the suspiciously enthusiastic tone, the "personalization" that references your high school or your LinkedIn headline in a way that feels hollow. Prospects can spot these instantly. And every time they do, it erodes trust a little further.

Meanwhile, Microsoft and Google are fighting back with tighter spam policies, making those channels harder to use and harder to track. The result is a situation where the most commonly used outbound channels are increasingly ineffective, and the tools meant to help teams scale are amplifying the problem.

The structural problem hiding inside your sales funnel

Here's something I've noticed working across dozens of sales teams: the breakdown isn't just about channels. It's about how the funnel itself has been built.

The traditional model works like this. You define your ICPs, build your lists, enrich with data points, hand them to SDRs who book meetings, and then AEs take over to close. Clean in theory.

The problem is that this model depended on SDRs who genuinely understood the customer, usually because they'd been trained by full-cycle reps who'd seen deals close and understood what actually mattered to buyers.

What happened instead is that one generation of SDRs trained the next, and that generation trained the one after. None of them had closed deals. Their job became, essentially, clicking buttons. The process became tool-driven rather than ICP-driven. When I interview salespeople today and ask how they sell, they describe their tech stack. That's a problem.

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Because data became commoditized, teams stopped being selective. Instead of deeply researched, account-based outreach, we got spray-and-pray automation at scale. And when you run that kind of approach, you don't just miss quota. You actively damage your brand with the very buyers you're trying to reach.

The numbers reflect this. According to Pavilion's research, 78% of reps missed quota in 2024. That's not a quota-setting problem or a hiring problem. That's a systemic problem with how outbound has been built and run.

Adding more tools to a broken process doesn't fix it. It accelerates the damage.