The hard truth about AI in outbound, the death of spray-and-pray, and how to build a pipeline that actually converts.

The Numbers That Should Keep You Up at Night

The sales technology stack has never been more full.

Budgets for enablement tools are at an all-time high. And yet, the results tell a completely different story: 78% of sellers missed quota this year, only 14% of reps drive 80% of revenue, and average cold email response rates have cratered from 15% to roughly 5%.

Michael Maximoff has watched these numbers collapse in real time. As the co-founder of Belkins, one of the top outbound agencies in the world, his team once commanded 15 to 20% response rates on cold email.

Starting in 2022, those numbers began a steady decline, and they are still falling.

The catalyst? Not bad copy. Not poor data. The barrier to entry dropped to nearly zero.

Today, anyone with a $20 subscription and a free automation tool can launch an outreach campaign. And most of them do, flooding every inbox in every industry.

“The problem is not in the shiny tool that you’re using. The problem is how you’re deploying it and what are the key strategic decisions you’re making with it.”

Stop Looking for a Silver Bullet. Fix the Foundation.

Michael is direct about the hype around AI SDRs: they are not a solution to a broken process.

Most organizations reaching for an AI-powered outbound agent already have a deeper problem that no tool can solve. They lack clear positioning, relevant messaging, or any real understanding of how their buyers make decisions.

AI is genuinely powerful when applied with intention. Michael uses it inside Belkins, but not to send more emails at a lower cost. Instead, he deploys AI to help his strategists and account directors conduct deeper market research, build sharper positioning, and design better campaign architecture.

Five hours of AI-augmented research now replaces two weeks of manual work, and the output is better because it frees his team to focus on judgment, not just data gathering.

“AI is the best thing that happened in this space. But only when it’s done properly, in the hands of the people that know how to do it.”

Cohort-Based ABM, Built from the Bottom Up

When single-channel outbound stopped working at scale, Michael reverse-engineered what had been working for Belkins’ own marketing. The answer was a multi-channel flywheel built around deep industry specialization.

Not broad segments like “healthcare” or “manufacturing,” but granular cohorts within those industries, each with tailored messaging mapped to specific buyer titles and their unique decision criteria.

How the bottom-up approach works

Most go-to-market motions start at the top of the funnel and try to push leads downward.

Michael flipped that entirely.

You start at the conversion layer. Test your messaging directly with buyers. Validate that you are speaking the right language and that your positioning resonates.

Only then do you layer in additional programs like webinars, blog content, or paid campaigns, and only when each program is designed to increase the volume of meaningful conversations for that specific cohort.

The result is an intentional, efficient flywheel that compounds over time. Cost of acquisition drops with each cycle. Buying intent increases because you are building real touch points with a defined audience instead of constantly scratching the surface of a broad market.

“The game is show me that you know me. You need to position yourself around really knowing your customers: their title, their industry, the state of their company, and really speaking about it.”

Five Things to Do Before You Buy Another Tool

1. Audit your ICP at the cohort level. Break your target industries into sub-segments. Map distinct buyer titles within each. If you are sending the same message to a VP of Operations and a CFO, you are already losing.

2. Validate messaging before scaling. Start with direct conversations. Test whether your positioning lands with real buyers before investing in campaigns, content, or automation on top of unproven assumptions.

3. Use AI for strategy, not just execution. Point AI at market research, competitive analysis, and buyer insight development. The ROI is far greater when AI augments your thinking rather than just multiplying your output.

4. Build channels incrementally. Add a new channel or program only when it will measurably improve conversions for a specific cohort. Every addition should be justified by data from the previous stage.

5. Commit to a five-year optimization horizon. Sophisticated, cross-channel go-to-market takes time to build and refine. Set expectations internally. Year one is foundation. The compounding returns come later.

The Bottom Line

The companies that will win the next five years of B2B growth are not the ones buying the most tools. They are the ones who invest in understanding their buyers at a granular level and build intentional, multi-channel systems around that understanding. AI accelerates this work dramatically, but only when it is applied to the right problems by people who know what good looks like.

Michael rebuilt Belkins from the ground up over the past two years based on this philosophy. The agencies, teams, and leaders willing to do that hard strategic work will be the ones still standing when the noise settles.