Revenue operations teams have spent the past three years stitching together intent data providers, enrichment tools, and campaign orchestration platforms, each with its own login, its own data model, and its own export step to the CRM. That era is starting to end, and for once the evidence isn’t a vendor’s marketing claim. It’s usage data.
The Numbers Behind the Shift
ZoomInfo told investors on July 31 that customers built 7X more audiences quarter over quarter inside GTM Studio, the company’s go-to-market campaign platform, with the number of customers creating their first audience up 5X over the same period and overall platform adoption doubling month over month. GTM Studio combines ZoomInfo’s B2B contact and account data with buyer intent signals, AI enrichment, and multi-channel campaign orchestration in one system, letting a revenue operations team build a segment, score it, and push it to Salesloft, Outreach, or a CRM without leaving the platform.
Those are adoption numbers, not revenue numbers, and ZoomInfo’s own release flagged them as unaudited operational metrics rather than financial results. But the direction matters more than the audit trail: usage is accelerating inside a single system that used to require three or four separate ones.
The bet on GTM Studio isn’t new, but it has grown more central to how the company positions itself. ZoomInfo changed its own Nasdaq ticker to GTM in 2025 when it introduced the broader GTM Intelligence Platform that Studio sits inside, a rebrand signal that the company sees its future in owning the full go-to-market workflow rather than just supplying contact data into someone else’s stack.
Why Teams Are Consolidating Now
The point-tool stack that defined go-to-market operations for most of the last decade looked something like this: an intent data provider to flag in-market accounts, a contact database to find the right people at those accounts, an enrichment layer to keep records current, and a sequencing tool to actually run outreach. Each vendor solved one problem well. None of them shared a data model, so RevOps teams built the connective tissue themselves, usually with a mix of CSV exports, Zapier workflows, and a data warehouse nobody fully trusted.
AI raised the cost of that fragmentation. An AI agent that is supposed to research an account, draft an outreach sequence, and update a CRM record needs a single, trustworthy source of context to act on. Feeding it five disconnected tools multiplies the chance of stale or contradictory data, which is exactly the failure mode revenue leaders cite most often when an AI pilot stalls. Our recent coverage of ZoomInfo’s own build-versus-partner calculus found the same pattern from the vendor side: rather than build every data category in house, revenue intelligence platforms are choosing to plug into partners for coverage gaps while consolidating the workflow layer themselves.
The Competitive Landscape
ZoomInfo isn’t alone in selling consolidation. 6sense and Demandbase both pitch enterprise account-based marketing suites that bundle intent detection, advertising, and sales orchestration under one roof, aimed at teams willing to pay for a comprehensive platform. ZoomInfo’s pitch is narrower but arguably more practical for mid-market RevOps teams: verified contact and account data paired with the orchestration layer, positioned as a replacement for the CSV-and-Zapier glue rather than a full marketing suite. At the other end of the market, lean stacks built around tools like Clay and Apollo.io still win on price and flexibility for teams that don’t want to commit to a single vendor’s roadmap.
The Skeptic’s View
Adoption metrics from inside a vendor’s own platform measure engagement with that vendor, not displacement of competitors. A team can run 7X more audiences in GTM Studio while still keeping 6sense or Demandbase for advertising and a separate conversation intelligence tool for calls. Growth in one product’s usage is not proof the point-tool stack is disappearing industry-wide, only that ZoomInfo’s customers are routing more of their workflow through the one platform they already pay for. There’s also a lock-in cost to weigh: consolidating campaign orchestration, data, and AI enrichment into a single vendor concentrates switching risk if that vendor changes pricing, gets acquired, or deprioritizes a feature a team depends on.
What This Means for the Sales Leader
The practical takeaway isn’t “consolidate onto one platform because the adoption chart looks good.” It’s that the argument for consolidation has shifted from a cost conversation to a data-integrity conversation. Before an AI agent can be trusted to touch a CRM record or trigger outreach, the team feeding it needs to know where its account and contact data actually lives and how current it is. That’s a harder problem to solve across five disconnected tools than inside one.
Revenue leaders evaluating a consolidation move should treat vendor usage stats the way they’d treat any other sales claim: as a starting point for due diligence, not the conclusion. Ask what happens to historical campaign data and audience definitions if the contract ends. Ask how the platform’s intent and enrichment data compares to a specialist provider on the specific verticals or geographies that matter most to the business, not just in aggregate. And ask the RevOps team doing the actual work whether the single platform removes steps or just relocates the same manual reconciliation into a different tab.
A short checklist helps before signing anything: confirm data portability in the contract, benchmark the platform’s intent coverage against a specialist in the two or three segments that drive the most pipeline, and pressure-test the AI features with the same messy account data the team already struggles with, not the vendor’s demo data. Consolidation can genuinely cut the reconciliation work that slows AI adoption down. It can also just move the mess one layer deeper if the underlying data discipline was never fixed.
Source: ZoomInfo Investor Relations
