AI has been a net productivity gain for B2B marketing teams. Faster execution, better ideation, and more efficient channel optimization are immediate benefits we see across all of our clients.
However, what AI hasn’t solved is how to get GTM teams to work better together across functions, and that’s where revenue performance actually gets decided.
Having spent decades leading growth and marketing teams across dozens of companies, we’ve found that one pattern consistently emerges: the organizations that perform best are not the ones with the most sophisticated tools or the largest budgets. They’re the ones that have built the strongest internal connections (both the bonds between their people and the clarity of their interdepartmental workflows). Those connections are what keep strategy, execution, technology, and revenue pulling in the same direction.
There are three pillars marketing performance actually sits on:
Effective GTM campaigns begin with an uncanny understanding of the market, the customer, and the value being offered. Most companies either don’t spend enough time getting this dialed in, or they revisit it once a year as a pulse-check exercise.
That cadence is no longer enough. Your customers and your ICP are shifting monthly with market and political dynamics, and any AI working on your behalf needs to be fed that context continuously — closed-lost reasons, CS QBR feedback, G2 and Capterra reviews of competitors, the Slack post-mortems nobody exports.
Even exceptionally executed campaigns will not consistently overcome outdated positioning, an overly broad ICP, or a product that doesn’t sufficiently address the needs of its intended buyers.
One of the most common obstacles to effective B2B marketing is the gap between what individual platforms can do and the integrity of the connections between them. The major GTM platforms (HubSpot, Marketo, Salesforce, ZoomInfo, RingLead, Salesloft, etc.) carry a handful of features that overlap with or complement your GTM plays, but they rarely get configured to work in unison or maintained well enough over time to produce a reliable, full view of the funnel.
Often these failures are hard to diagnose because each one looks like an inconsequential glitch affecting a small batch of records. A campaign generates qualified interest that never gets associated with the right account. A promising lead moves through sales without its originating marketing activity being captured. CRM lifecycle definitions drift from the processes teams actually follow. Conversion data goes incomplete or inconsistent across platforms.
Individually, these issues look minor. Collectively, they severely undermine marketing and sales effectiveness, especially as the volume of campaigns and plays grows. Inaccurate infrastructure is also where AI amplifies problems rather than solves them — agents will be analyzing and acting on records that are wrong or incomplete.
For the C-suite, these issues compromise the organization’s ability to understand its own performance, especially when millions of dollars are going into performance marketing and GTM tooling.
Marketing performance is a business capability, not simply the result of individual campaigns.
Thus, ownership of short- to medium-term revenue performance should sit across marketing, sales, finance, product, and whoever else directly owns the website and the CRM. That’s what lets an organization move quickly on the same priorities.
Without shared definitions of the critical inputs and steps that generate revenue (both digital and analog), each team arrives at its own explanation. Marketing points to engagement and conversion metrics. Sales questions lead quality. Product questions what’s being represented to the audience. Finance questions the return on investment. And the organization spends more time debating points of view rather than building a shared understanding of the root causes of performance.
This is also why handing the dispute to an AI doesn’t resolve it. An agent should not be the final arbiter of how your company runs the critical steps to predictable, marketing-sourced revenue (e.g. lifecycle definitions, attribution gaps, and what constitutes a qualified opportunity). Not because the models aren’t capable enough, but because settling those disagreements is the job of whoever is accountable for the results. An arbiter with no accountability produces “decisions” without the team’s adoption: the dashboard updates, but the relationships, the workflows, and the behavior don’t.
GTM alignment requires more human-to-human alignment, and isn’t something you fix with better communication and another weekly meeting. It has to be an ever-present operating model based on trust, co-ownership of accountability, and decision-making that reinforces one another.
We strongly believe that marketing teams should use AI for what it’s best at: idea generation, audience identification, graphic design, web development, advertising optimization, simple reporting and analysis.
However, human judgment should closely govern AI output, with a strong focus on maximizing quality and distinctiveness. If we cared more about AI craftsmanship, we’d see better emails landing in our inboxes and higher conversion rates on our campaigns, not the persistent slop flooding every digital channel. We’d also be in awe of the newest campaigns out there and be discussing them with our teams, but that doesn’t seem to be happening either.
The obvious objection from the AI optimists is that all of this is temporary. Models will keep improving, and soon enough an agent will configure your GTM stack end to end while marketers are freed up to play Don Draper. Maybe so. But the constraint was never what AI can decide, it’s what your organization will accept as decided.
Call it old-school thinking, but we still believe humans are best at marketing to other humans. So give AI the execution but please keep people on the decisions: what the market is telling you, what your systems should mean, and what your teams agree to measure.
Chief Growth Advisory provides marketing and GTM leadership services for the world’s fastest-growing companies. We work closely with CEOs, CMOs, and CROs to grow pipeline and revenue as efficiently as possible.
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