Rob Walter, Founder & CEO of RevBo (RevBo.ai): A Serial CRO Shares His Thoughts on GTM in the AI Era.
Rob breaks down 20+ years of SaaS sales leadership and shares his framework for AI-native go-to-market (GTM), intent-driven outreach, and the first hires that actually move the needle.
This episode is a masterclass in go-to-market for B2B SaaS founders. Scot taps 20-year friend and former ChannelAdvisor colleague Rob Walter (now founder of RevBo) to walk through what modern GTM actually looks like, from a $350M public company all the way down to founder-led sales. About a third of the conversation is the big-company view: BigCommerce, RevOps bloat, intent data at scale. The other two-thirds is practical: the tools, frameworks, and mindset shifts that founders between $1M and $5M ARR need right now.
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Who is Rob?
Rob Walter is the Founder and CEO of RevBo, an AI-native go-to-market advisory firm he launched in early 2025 after leaving his role as CRO of Commerce (formerly BigCommerce), a publicly traded e-commerce platform with ~$350M in ARR.
Rob has spent over 20 years in the SaaS world, including 8 years as a CRO, with stops at ChannelAdvisor (where I first recruited him to North Carolina), Amplience (headless CMS), and Oro Commerce. Before SaaS, he was selling wine for E&J Gallo Winery straight out of Miami of Ohio.
A proud Chicago native (the Bears and Cubs flags are visible behind him on camera), Rob named RevBo after his grandfather, whom he called "Bo" as a kid, even though his grandfather's actual name was John.
How we met…
Rob and I have known each other for over 20 years. Rob came to North Carolina specifically because of ChannelAdvisor. Four days before officially moving, Rob drove down and had lunch with me and Michael Jones at the Texas Roadhouse near the ChannelAdvisor office. He notes that at the time, the only other sit-down options in the area were Waffle House and Hooters, “slim pickings back in the day.” Apparently the Texas Roadhouse did the trick: Rob took the job, relocated to the Triangle, and never left. I remember him fondly as the “Salesforce whisperer”, the only person at ChannelAdvisor who could get the CRM to produce a report that actually worked
Highlights
"Nobody has it right: Rob's honest take on the current AI-GTM moment; the playbook is genuinely still being written, adoption is wildly uneven, and that gap between the leading edge and everyone else is the opportunity.
Carpet bombing is killing brands: AI has made outbound spam so cheap and easy that it's destroying trust at scale. One competitor even cold-emailed Scot about "agentic commerce", not realizing they were emailing a direct rival. Rob's rule: "A human always writes the message." AI-generated outreach is detectable, and it permanently trains your ICPs to ignore you.
Intent data, explained:Website visits, job postings, funding announcements, keyword searches, these are the signals that tell you when to reach out and why. Rob describes it as a "spider on a web" with legs out, waiting for any ICP company to show a flicker of intent before timing a precise, relevant outreach. He used actively.ai (recently raised its Series B) at BigCommerce, standing up the POC in about 2 months.
ABM is now nearly the only outreach strategy: AI removed the bandwidth bottleneck that always made true account-based marketing impractical. Rob's view: from a direct outreach standpoint, it's now "darn close to ABM only."
The first sales hire trapdoor: "Never hire someone from a big company and think they're gonna do well in your startup as a first sales employee. Never. I have never seen that work. Hundred percent failure rate." Their first question is about PTO policy and whether they get an admin.
Four tiers of salespeople: Great and good reps will get dramatically better with AI. The "meh" tier, people who got by on volume and the occasional lucky close, will get weeded out. Founders need to know this when evaluating candidates.
GTM engineer > first sales rep: A GTM engineer who can automate enrichment, workflow, and outreach sequencing can be "far more powerful than, honestly, maybe even a sales rep in some cases" for early-stage companies. Rob says this is one of his most consistent recommendations to founder-led businesses.
Granola over Gong: For companies under $10M ARR, Rob's call recording recommendation is Granola, it works in coffee meetings, integrates cleanly with Claude for analysis, and costs a fraction of what Gong does. He uses it himself, with a custom recipe that pulls prospect questions across all sales calls and runs them through Claude to bucketize and rank by frequency, then puts that content directly on the website.
The data model rule: If you don't capture milestone moments in your CRM now, first discovery call, account enrichment data, stage exit criteria, that information is "gold dust that slipped through your fingers." Nothing AI can do later will recover it.
SaaSageddon is real: Buyers are hesitating on new software contracts. Rob's framework: for narrow use cases, try to build it before you buy it. For compliance-heavy enterprise environments, you probably still buy. And there are now AI-native alternatives (he uses Clarify AI for CRM) worth considering over legacy incumbents.
The RevBo scorecard: Rob built a free AI-native GTM diagnostic at revbo.ai, it walks companies through ICP clarity, data model hygiene, and intent/enrichment readiness before recommending any tooling. A good starting point before any of the tools in this episode make sense.
Rob has been in the rooms where SaaS was built, scaled, and now, in some ways, disrupted. Every piece of advice in this episode comes from having actually done the thing, not just advised on it. Enjoy the conversation.
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