B2B marketers with strong data foundations are 2.4x more likely to exceed goals, Anteriad research finds

The gap between B2B marketing's top performers and everyone else is not a matter of budget or brand. It comes down to three operational disciplines: data quality, buying group strategy, and full-funnel attribution. That is the central finding of Anteriad's 2026 B2B Marketing Edge report, released in June and conducted in partnership with Ascend2 across 631 marketing decision-makers in the US, UK, and APAC, according to GlobeNewswire.

The timing of the report coincides with a wave of product investment aimed directly at closing those gaps. Zig.ai, an autonomous sales platform, launched a suite of AI agents in June that automates prospecting, research, and outreach, compressing a workflow that once consumed two to four hours of a sales rep's day into a matter of minutes, according to Demand Gen Report.

Data quality and attribution separate leaders from the pack

Anteriad's research identifies a distinct cohort it labels Data Heroes: marketers who have built strong, intentional data foundations. Despite representing a slightly smaller share of respondents than in prior years, this group reported significantly exceeding their primary marketing goals at a 43% rate, compared to just 18% for all other marketers, according to GlobeNewswire. That is more than a 2x performance gap, traced directly to how well teams control their data inputs.

Attribution discipline shows a similar divide. Marketers who prioritize full-funnel attribution were nearly twice as likely to significantly exceed their primary marketing goals in the last fiscal year: 45% versus 24% for those who do not lead on attribution, the report found. For revenue operations and marketing operations leaders, this is an argument for treating measurement infrastructure as a revenue driver, not a reporting cost.

Campaign agility rounds out the performance picture. Forty-one percent of B2B marketers said they frequently reallocate spend based on live performance data, according to Anteriad's report. Those who cannot, whether because of slow internal approval processes, technology limitations, or the absence of real-time data, face compounding disadvantages: not just underperformance, but an inability to course-correct.

Buying groups and CFO alignment move from best practice to table stakes

One of the report's most operationally direct findings concerns buying group implementation. Thirty-eight percent of survey respondents said they have fully implemented buying group strategies, meaning they target all decision-makers within an account rather than chasing a single lead, according to GlobeNewswire. That cohort reported measurable downstream benefits: better marketing and sales alignment, higher win rates, and stronger conversion from open opportunity to closed revenue.

The report also broke new ground this year by asking, for the first time, who the top marketing leader reports to and how that reporting structure shapes strategy. The results were pointed. Marketers misaligned with their CFO face real operational consequences: 39% report increased scrutiny on spend, 36% see their budgets reduced, and 35% experience delays in launching strategic initiatives, according to Anteriad's data. Being present in the room when a CFO is setting expectations for marketing ROI is not a soft cultural preference; it has hard budget and execution consequences.

Lynn Tornabene, Chief Marketing and Product Officer at Anteriad, noted in a statement reported by GlobeNewswire that five years of research have sharpened the picture of what separates high performers. The marketers winning in 2026, she said, have control over their data, their measurement, their audience strategy, and their position in the revenue conversation.

Zig.ai's AI agents target the execution gap in the sales motion

While the Anteriad data maps the strategic gap, Zig.ai is targeting the execution layer. The company's newly launched AI agent team is built into its autonomous sales platform and designed to handle the full prospecting workflow autonomously: finding prospects, verifying contact data, qualifying leads, and generating outreach sequences, according to Demand Gen Report.

The platform differentiates itself on data verification. Rather than pulling from a single source, Zig.ai cross-validates contact and company information across both public and private datasets, surfacing verified emails, phone numbers, and contact details confirmed across multiple providers. The intent is to reduce the dead-ends and bounced outreach that erode rep productivity when lists come from a single, unverified source.

The launch also introduces what Zig.ai calls lookalike account intelligence. When a rep closes a deal, the platform's agents analyze the patterns within that deal and surface a ranked list of similar accounts, complete with a drafted outreach sequence ready for the rep to review and trigger. Steve Ancheta, founder and CEO of Zig.ai, described the goal in a statement reported by Demand Gen Report as giving every account executive their own team of AI assistants so reps can focus on building relationships and customer calls rather than tooling and research.

Lavish Mantri, co-founder and head of engineering at Zig.ai, framed the product philosophy around learning from closed revenue rather than simply adding another outreach tool, according to Demand Gen Report. The AI agent feature extends a platform that previously launched Zigscribe, an AI product that converts sales meeting content into follow-up execution.

What the data and the tooling signal for B2B revenue teams

Anteriad's survey was fielded in March 2026 and covers organizations with 250 or more employees, according to GlobeNewswire, meaning the findings reflect mid-market and enterprise environments where data infrastructure and organizational alignment are genuine operational decisions with budget and headcount attached.

Taken together, the Anteriad benchmark and the Zig.ai launch point toward the same conclusion: the distance between a B2B team that hits its number and one that does not is increasingly a question of operational control. High-performing marketers have tighter data, more granular attribution, clearer CFO relationships, and, increasingly, AI that handles the rote execution layer of the pipeline so human effort concentrates where it actually moves deals.

The practical implication for marketing operations and revenue operations leaders is sequencing. Anteriad's data suggests that data foundation and attribution infrastructure should precede audience strategy decisions like buying group implementation, because the measurement capability is what proves the approach is working. For sales leaders evaluating AI tooling, Zig.ai's cross-verified data model and closed-deal learning loop represent a more durable alternative to single-source list vendors, especially as buyer contact information continues to fragment across channels. Anteriad names ServiceNow, Microsoft, and KPMG among the clients that rely on its data-driven approach to pipeline and ROI.