GTM Vault

Rick Koleta

Revenue architecture for AI-native GTM. Founders, CROs, and revenue leaders on how they built systems that compound: positioning, pricing, motion design, RevOps, and AI-native workflows. Hosted by Rick Koleta. Read by 27,000+ operators inside OpenAI, Anthropic, Meta, and Google.

  1. 6d ago

    You Have No Relationship With the AI | Ariel Hitron, Second Nature

    Every vendor in revenue AI is pointed the same way. Automate the seller, draft the outbound, hand the follow-up to an agent. Ariel Hitron has been running the other way since 2019, building AI that plays the buyer so the seller gets better. His argument is that an enterprise signing off on fifty thousand or five hundred thousand dollars is not buying capability at all. It is buying someone whose own standing inside the company is on the line when it breaks. In this episode Ariel breaks down the two variables that draw the line between an agent conversation and a human one, why a playbook scattered across four surfaces cannot be trained against until it is compiled into one model, why the scoring layer beats a sales manager on patience rather than judgment, why enterprises are unbundling their enablement suite upward, and why every in-house roleplay build decays after the hackathon. This is not a conversation about sales training. It is a conversation about who owns the playbook layer once every platform ships roleplay as a feature. Timestamps: (0:00) Who Do You Hold Accountable When It Breaks (1:38) The Category Automates the Seller. He Went the Other Way (5:07) 2019, Before ChatGPT, and the Objection Every Enterprise Gave (7:33) Digitizing the Playbook Into One Machine-Readable Model (9:35) What the Scoring Layer Catches That a Manager Misses (12:12) Which Conversations Should Go to an Agent, and Which Never (20:16) Bundling, Unbundling, and Why Enterprises Unbundle Upward (24:53) From Roleplay to Agentic Sales (30:49) Demos Are Free. Maintenance Is the Moat (38:24) The 2028 Revenue Org and the Test That Would Prove Him Wrong Ariel Hitron on LinkedIn: https://www.linkedin.com/in/arielhitron/ Second Nature: https://www.secondnature.ai Rick Koleta on LinkedIn: https://www.linkedin.com/in/rickkoleta/ GTM Vault: https://www.gtmvault.co Full written breakdown: https://www.gtmvault.co/p/gtm-52-no-relationship-with-ai Watch the episode: https://youtu.be/oLwcSkz7Q6k

  2. Sep 20

    How to Get Warm Intros at Scale | Olivier Roth, The Swarm

    Most people know five to ten percent of their LinkedIn connections. The rest is an audience, not a network, and that binary connection with no context behind it is the single weakest edge a sales team can route a warm intro through. Olivier Roth co-founded The Swarm to pool the networks of a company's investors, advisors, partners, employees and best customers into something a seller can query, and he calls the result an anti-CRM. In this episode Olivier breaks down why a CRM structurally cannot hold the deals that could exist, the six edges that build a relationship graph and the three tiers that score how sure it is that two people know each other, why the relationship layer travels into HubSpot, Attio, Clay and any agent over MCP while the CRM stays the central nervous system, why freshness is what breaks at scale and what that forced them to build instead of buy, and how roughly forty percent of The Swarm's own pipeline now comes through intros. This is not a conversation about a warm intro tool. It is a conversation about who owns the relationship layer once every CRM ships a warm intro tab. Timestamps: (0:00) LinkedIn Is Your Audience, Not Your Network (2:44) What A CRM Cannot Capture, And The Anti-CRM (4:07) The Six Edges Of A Relationship Graph (7:32) Where The Graph Lives: Inside, Beside, Or Under The CRM (12:40) One Motion: LinkedIn Profile To Claude Prompt To Clay Workflow (15:06) 500 Million Profiles, Freshness, And The Consent Architecture (19:05) Potential, Likely, Confirmed: How The Graph Scores A Path (23:39) The Commsor Acquisition And The Size Of The Category (26:32) Swarm Send, 40 Percent Of Pipeline, And Three Intros Every Monday (32:36) Rapid Fire Olivier Roth on LinkedIn: https://www.linkedin.com/in/olivier-roth/ The Swarm: https://www.theswarm.com Rick Koleta on LinkedIn: https://www.linkedin.com/in/rickkoleta/ GTM Vault: https://www.gtmvault.co Full written breakdown: https://www.gtmvault.co/p/gtm-51-linkedin-audience-not-network Watch the episode: https://youtu.be/x0SiO0VvIBI

  3. Sep 13

    B2B Contact Data for AI SDR Agents | Yoni Tserruya, Lusha

    A third of a static list is wrong by the time the last rep touches it. That was survivable when humans worked lists over weeks, because a rep sees the bounce and flags it. Yoni Tserruya bootstrapped Lusha into one of the largest B2B contact data platforms in the market, and a few months ago he watched SDR and BDR agents go into production at customer accounts and concluded the buyer of his data is about to stop being a person. In this episode Yoni breaks down why bad data compounds faster through an agent than through a rep, what survives of a ten-year-old product when the interface stops mattering, how waterfall enrichment resets vendor economics from the seller's side of the table, the two-layer retrofit forcing an established company into the AI era, and how Lusha's own go-to-market went headless so its AEs almost never open Salesforce. This is not a conversation about data vendors. It is a conversation about which parts of your GTM system have to be true at the moment an agent acts. Timestamps: (0:00) Cold Open: A Third of Your List Is Already Wrong (2:58) The Moment the Buyer Stops Being a Person (4:51) What Survives When the Interface Stops Mattering (6:11) Waterfall Economics From the Vendor Side (9:31) Agent to Agent Selling, Step by Step (12:44) Spam to Spam, and the Relevance Filter (14:24) The Two-Layer Retrofit of a Ten-Year-Old Company (20:38) How Lusha Runs Lusha: Going Headless (23:02) The Pressure Test: Apollo, Clay, ZoomInfo, and the LLMs (26:10) The 2028 Revenue Team and Rapid Fire Yoni Tserruya on LinkedIn: https://www.linkedin.com/in/yonitserruya/ Lusha: https://www.lusha.com Rick Koleta on LinkedIn: https://www.linkedin.com/in/rickkoleta/ GTM Vault: https://www.gtmvault.co

  4. May 3

    The Creative Feedback Loop in Performance Marketing | George Howes, Canva

    The ad shipped. The creative looked great. The campaign went live. Performance stalled anyway. Not because targeting failed, not because the budget was wrong. The team scaled ad volume faster than its ability to learn. Most performance marketing failures are not media problems. They are feedback loop failures between creativity, data, and iteration. Most companies have not absorbed this yet. In this episode of GTM Vault, Rick Koleta sits down with George Howes, Head of Canva Grow and founder of Magicbrief (acquired by Canva), to break down why creative and media are not separate disciplines, why the feedback loop between them is the missing layer in modern GTM, and what changes when creative production runs on the same infrastructure as performance data. George founded Magicbrief, a creative intelligence platform that Canva acquired, after years inside top creative agencies watching the same failure repeat at every brand. Teams launched ads, collected results, moved on. Learning never compounded. He now leads Canva Grow, the product Canva is building to ingest ad performance from every platform, tie it back to the specific creative assets that produced the outcome, and push those learnings into the next round of creative before the next round is made. He explains why most performance marketing failures are feedback loop failures and not media failures, why creative teams and data teams sit at opposite ends of a broken handoff, why scaling ad volume faster than learning is the silent constraint at every growth stage, why AI is a multiplier for teams that already have the loop closed and a noise amplifier for teams that do not, why click-through rate lies more often than any other metric in the stack, why creative and media are the same system measured at different time scales, why small teams with all context in one place consistently outperform large teams with fragmented tooling, why one great static compounds into a video ad, a YouTube pre-roll, an email hero, and a paid social carousel when the loop is live, and why learning velocity is the new spend. This episode is for founders, CMOs, and performance leaders building in categories where ad volume is cheap, channels are saturated, and differentiation lives in how fast the team learns from what they ship. Performance marketing is not a media problem. It is a feedback loop problem. Structure match to GTM 44 exactly. Paragraph one is the setup with the short declarative cadence and the "Most companies have not absorbed this yet" closing beat. Paragraph two is the "In this episode of GTM Vault, Rick Koleta sits down with..." intro with a three-clause thesis statement. Paragraph three is the guest stats paragraph with the career arc that set up the product. Paragraph four is the long "He explains why..." list with nine structural threads from the conversation. Paragraph five is the who-it's-for paragraph ending on the short thesis reframe, matching the "The demo is not a sales artifact. It is the unit of the sale." pattern with "Performance marketing is not a media problem. It is a feedback loop problem." One note on guest stats. I do not have specific revenue or growth numbers for Magicbrief (pre-acquisition ARR, funding history, headcount, etc.) the way we had them for Supademo. If you want that paragraph to carry more empirical weight like the GTM 44 version did, send me any numbers you have and I will wire them in.

    The Creative Feedback Loop in Performance Marketing | George Howes, Canva

About

Revenue architecture for AI-native GTM. Founders, CROs, and revenue leaders on how they built systems that compound: positioning, pricing, motion design, RevOps, and AI-native workflows. Hosted by Rick Koleta. Read by 27,000+ operators inside OpenAI, Anthropic, Meta, and Google.

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