--- title: "GTM Alpha" description: "You can get better and still fall behind." url: "https://timrutten.com/essays/gtm-alpha" author: "Tim Rutten" type: "essay" published: "2026-10-31" updated: "2026-10-31" tags: - "GTM Alpha" --- # GTM Alpha > You can get better and still fall behind. By [Tim Rutten](https://timrutten.com/about) · October 31, 2026 · 5 min read · Issue #3 ## Key takeaways - GTM Alpha is the difference between the market’s standard of execution and the proprietary way your company goes to market. - Like IT in Nicholas Carr’s “IT Doesn’t Matter,” AI-native GTM tools are becoming ubiquitous: every company gets more efficient, and collectively we become less differentiated. - Alpha is relative. You can improve conversion, cost and velocity and still fall behind, because the baseline rises and yesterday’s alpha becomes tomorrow’s baseline. - Buy the infrastructure, build the advantage: don’t outsource the decision logic (which accounts matter, how you read signals, when you engage) that makes your company different. - The lasting advantage is the organizational capability to keep creating new advantages before the old ones disappear. --- In 2003, Nicholas Carr published [“IT Doesn’t Matter”](https://hbr.org/2003/05/it-doesnt-matter) in Harvard Business Review. His argument was provocative: when technology becomes ubiquitous, it stops being a source of competitive advantage. Electricity transformed industry. But eventually, access to electricity stopped differentiating one company from another. Carr argued that information technology was heading in the same direction. I believe go-to-market is next. **Chart:** Once half the market has a capability, owning it stops differentiating. Electricity took decades to get there. AI-native GTM is getting there in a few years. | Technology | Years to 50% adoption | Adoption after 5 years | | --- | --- | --- | | Electricity | 30 | 1% | | Enterprise IT | 14 | 4% | | AI-native GTM | 3.5 | 89% | *Illustrative model, not reported data. [Interactive version](https://timrutten.com/essays/gtm-alpha).* AI-native GTM stacks are flooding the market. Intelligence platforms, automated prospecting, agentic workflows, personalization engines. Capabilities that required substantial teams and budgets just a few years ago are becoming accessible to almost anyone. And that’s precisely the problem. The same tools identify the same buying signals. The same AI agents execute variations of the same playbooks. The same prospects receive increasingly similar messages, only faster, cheaper, and at greater scale. Every company gets more efficient. Collectively, we become less differentiated. The noise floor rises. Yesterday’s innovation becomes tomorrow’s minimum requirement. **Better technology won’t necessarily make you better than your competition. It might just make everyone equally good.** ## The rising baseline In financial markets, alpha describes performance above a benchmark. The concept translates remarkably well to go-to-market. Every market has an execution baseline. What a reasonably capable competitor can achieve with commercially available technology, established practices, and competent talent. For years, adopting better tools or more sophisticated practices could create meaningful competitive advantage. AI is changing that equation. The cost of intelligence is falling. The cost of experimentation is falling. The cost of execution is falling. The baseline is rising. Clay’s Varun Anand has [described GTM Alpha](https://www.clay.com/blog/gtm-alpha) through unique data, differentiated plays, and continuous experimentation. That captures an important part of the opportunity. But I believe the implication goes further. **GTM Alpha is the difference between the market’s standard of execution and the proprietary way your company goes to market.** It’s not simply a better campaign, a smarter signal, or a more sophisticated automation. It’s an operating advantage. ## Your GTM motion is your IP Companies obsess over product differentiation. We invest in proprietary technology, intellectual property, and competitive moats. We understand that building the same product as everyone else is rarely a winning strategy. Yet in go-to-market, we routinely assemble the same software, hire for the same roles, adopt the same playbooks, and measure ourselves against the same benchmarks. Then we wonder why our execution looks so similar. What if we treated our GTM motion itself as intellectual property? Not the campaigns we run or the processes we document. The entire system through which we identify, engage, convert, and grow customers. That system combines three things. **Strategy and motion.** Your understanding of your ideal customers, their buying behavior, your value proposition, and the commercial motions required to win. **Talent.** The people capable of designing, operating, challenging, and reinventing that motion. An enterprise account-based strategy requires fundamentally different capabilities from a product-led growth engine. There is no universally optimal GTM organization. **Technology and proprietary implementation.** The infrastructure you acquire, the intelligence you develop, and the workflows, agents, and decision logic you build around your business. None creates sustainable advantage in isolation. The advantage comes from how they work together. Two companies can buy identical software and hire equally capable people. Yet one can systematically outperform the other because its GTM system is better adapted to the market it serves. That’s GTM Alpha. ## Buy the infrastructure. Build the advantage. The obvious conclusion would be to build all your own GTM technology. That would be the wrong conclusion. There is little strategic value in recreating infrastructure that others can provide better and more economically. Buy what is generic. But don’t outsource the logic that makes your company different. Which accounts matter. How you interpret buying signals. When you engage. Which relationships you activate. How you connect your value proposition to a customer’s specific circumstances. These aren’t merely software features. They’re strategic decisions. [AI-native development](https://timrutten.com/essays/ai-native-gtm-all-the-way-or-not) increasingly allows organizations to encode those decisions directly into proprietary systems. A conventional GTM platform might identify an account showing elevated buying intent. A proprietary system understands why that account matters to your business, what has changed, which relationships already exist, and what intervention makes sense. It connects intelligence to execution. The difference isn’t more automation. It’s your commercial understanding embedded in how the machine operates. And the talent model changes with it. Commercial strategists, domain experts, engineers, and AI-native operators increasingly need to work as one system. Not because every marketer should become a developer, but because the distance between designing a GTM strategy and engineering its execution is collapsing. ## You can get better and still fall behind Here’s the part most GTM leaders underestimate. Alpha is relative. You can improve conversion rates, reduce acquisition costs, increase pipeline velocity, and still lose competitive advantage. Because your competitors might be improving faster. Consider two companies operating in the same market. Both invest in AI. Both improve productivity. Both generate more pipeline per employee. Both become objectively better at go-to-market. But one develops a proprietary motion that learns and improves continuously. The other relies primarily on improvements delivered through its software vendors. Over time, the first company extends its advantage. The second becomes more efficient, but increasingly indistinguishable from the market. **Both improve. Only one creates alpha.** **Chart:** The market baseline rises, a vendor-led company rises with it, and a proprietary motion pulls away. The shaded gap is GTM Alpha. | Quarter | Market baseline | Vendor-led | Proprietary | | --- | --- | --- | --- | | Today | 100 | 108 | 108 | | Q4 | 119.3 | 124.3 | 138.1 | | Q8 | 142.2 | 145.8 | 169.7 | | Q12 | 169.6 | 172.6 | 205 | | Q16 | 202.2 | 205.1 | 246 | | Q20 | 241.2 | 244.2 | 294.1 | *Illustrative model, not reported data. [Interactive version](https://timrutten.com/essays/gtm-alpha).* And AI accelerates this dynamic. A workflow that took months to engineer becomes reproducible in days. A proprietary capability becomes a standard vendor feature. A successful playbook spreads across the market. Yesterday’s alpha becomes tomorrow’s baseline. So the question is no longer whether your GTM organization is improving. It’s whether you’re improving faster than the market is catching up. ## The competition is pace The strongest GTM organizations won’t necessarily have the largest budgets, biggest teams, or most sophisticated technology stacks. They’ll have the greatest capacity to continuously reinvent how they go to market. That means [shortening the distance](https://timrutten.com/essays/gtm-is-product-is-gtm) between market intelligence and commercial action. Between experimentation and learning. Between strategy and execution. It means building systems where every interaction can improve the next decision, rather than generating another dashboard for someone to review. It means developing talent [capable of questioning the existing motion](https://timrutten.com/library/shadow-cmo-blank-page-exercise), not merely executing it more efficiently. And it means accepting that every competitive advantage has a limited shelf life. The advantage isn’t any single workflow, technology, or playbook. It’s the organizational capability to keep creating new advantages before the old ones disappear. Your GTM motion is no longer simply how you execute your strategy. It becomes part of the strategy itself. ## The advantage you cannot buy Carr [never argued](https://www.nicholascarr.com/?page_id=99) that technology was unimportant. He argued that technology could become so essential, and so widely available, that owning it would no longer guarantee differentiation. I believe the same will happen to go-to-market. AI will become indispensable. Agentic execution will become standard. Today’s extraordinary capabilities will become ordinary. And the market will be full of companies executing increasingly sophisticated versions of the same playbook. The advantage will belong to those who build something fundamentally different. A proprietary GTM motion, shaped by their market, powered by their talent, engineered around their strategy, and continuously improved through execution. Something competitors can observe, but cannot easily replicate. And something that keeps evolving faster than they can catch up. **That’s GTM Alpha.** You can’t buy it. You have to build it. ## Concepts in this essay - [GTM Alpha](https://timrutten.com/concepts/gtm-alpha.md): GTM Alpha is the difference between the market’s standard of execution and the proprietary way your company goes to market. Subscribe (free, every two weeks): https://timrutten.com/newsletter --- Markdown version of https://timrutten.com/essays/gtm-alpha · by [Tim Rutten](https://timrutten.com/about) · All pages: https://timrutten.com/llms.txt *Everything on this site is written in a personal capacity. The views are my own and do not represent those of my employer.*