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B2B marketers with full data control beat peers on goal attainment by more than 2x, Anteriad research finds

Anteriad's 2026 B2B Marketing Edge report indicates that B2B marketers with full data control outperform their peers in goal attainment by more than twice. The launch of Zig.ai's new AI agent highlights the growing importance of data control and automation in the competitive B2B landscape.

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By MarketScale Newsroom · AnteriadZig.aiB2b MarketingDemand Generation
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B2B marketers with full data control beat peers on goal attainment by more than 2x, Anteriad research finds

Key takeaways

01

B2B marketers with full data control achieve over twice the goal attainment of their peers.

02

Data control and automation are crucial for success in the B2B sector.

03

Zig.ai's launch of a new AI agent signifies advancements in automation technology.

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B2B marketers who treat data as a competitive asset exceed their primary marketing goals at more than twice the rate of their peers. That is the headline number from Anteriad's 2026 B2B Marketing Edge report, released June 17 and fielded in March 2026 with Ascend2 across 631 marketing decision-makers in the United States, United Kingdom, and APAC, according to GlobeNewswire. The finding arrives alongside a product launch from Zig.ai that automates the most labor-intensive parts of sales prospecting, reinforcing a clear pattern: in 2026, operational control over data and workflow is where B2B performance gaps are actually being made.

The data gap is wider than most teams realize

Anteriad labels its most data-sophisticated respondents 'Data Heroes,' and the 2026 numbers make the category worth pursuing. That cohort significantly exceeded their marketing goals at a 43% rate, versus 18% for everyone else, according to GlobeNewswire. Notably, Demand Gen Report points out the Data Hero group was actually smaller this year than in prior surveys, yet the performance gap widened anyway, meaning the advantage compounds as fewer teams earn it.

The pattern holds across measurement practices as well. Marketers who prioritize full-funnel attribution outperformed non-attribution leaders on goal attainment by a nearly 2-to-1 margin, with 45% significantly exceeding targets versus 24% for peers who do not run full-funnel tracking, per the GlobeNewswire release. Campaign agility compounds the advantage: 41% of respondents said they frequently reallocate spend based on live performance data, and those who do not cited slow approval cycles, platform limitations, and the absence of real-time data as their primary obstacles.

Share of marketers significantly exceeding goals, by practice (2026)
Anteriad / Ascend2 via GlobeNewswire · © MarketScaleDownload chart

Buying groups and CFO access are the other dividing lines

Beyond data infrastructure, the report surfaces two structural factors that separate top performers. Thirty-eight percent of respondents say they have fully implemented buying-group audience strategies, and that group reported better marketing-and-sales alignment, higher win rates, and stronger conversion from opportunity to closed revenue, according to GlobeNewswire. Buying-group adoption is no longer an experimental tactic; at 38% penetration it is becoming table stakes for teams running complex, multi-stakeholder deals.

The report also introduced a new line of inquiry this year: who the top marketer reports to, and how that reporting line correlates with results. The findings on CFO alignment are blunt. Among respondents who lack alignment with finance leadership, 39% face increased scrutiny on spend, 36% see their budgets cut, and 35% experience delays launching strategic initiatives, per Demand Gen Report. The implication is that a marketing leader's proximity to the CFO's budget conversation matters as much as any individual tactic.

CFO misalignment doesn't just slow campaigns, it exposes 36% of marketing budgets to outright cuts, making finance access a performance lever, not a soft skill.

Zig.ai moves to automate the hours reps spend before the first call

The same week the Anteriad data circulated through the market, Zig.ai launched an AI agent team layered into its autonomous sales platform. The agents handle prospect research, lead qualification, contact verification, and outreach sequencing without rep intervention, completing in minutes work that previously occupied two to four hours of a sales rep's day, according to Demand Gen Report. The platform distinguishes itself from single-source lead databases by cross-verifying contact and company data across both public and private datasets, surfacing validated emails and phone numbers confirmed across multiple providers.

The more distinctive capability is lookalike account intelligence. When a rep closes a deal, Zig.ai's agents analyze the patterns embedded in that closed deal and automatically generate a list of similar target accounts, paired with a drafted outreach sequence ready for the rep to review and trigger. The feature builds on Zigscribe, an earlier Zig.ai release that converts sales meetings into execution tasks. Together, the two capabilities aim to close the loop between a closed deal and the next prospecting cycle, removing the manual work at both ends.

What this means for demand gen and revenue ops teams

The Anteriad benchmark and the Zig.ai launch describe the same underlying pressure from different angles. Enterprise marketing and sales operations teams are being asked to produce measurable pipeline contribution at a time when buyer committees are larger, channels are more fragmented, and finance scrutiny is intensifying. The Anteriad data shows that the teams already ahead of this curve share three characteristics: strong data foundations, full-funnel measurement, and direct involvement in budget conversations. The Zig.ai launch reflects a vendor market responding to the same pressure by collapsing multi-tool prospecting stacks into a single autonomous workflow.

For revenue operations and demand generation leaders evaluating their 2026 stack, the Anteriad survey methodology is worth noting: 631 decision-makers across organizations with 250 or more employees, fielded in March 2026, spans enough scale to be directionally reliable for mid-market and enterprise planning. The report is available directly through Anteriad's site.

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