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Demandbase State of ABM 2026: Pipeline Benchmarks from 1,452 Companies

Demandbase's inaugural State of ABM 2026 report reveals buying group and advertising benchmarks from 1,452 companies and 9.7M sales interactions.

5 min readPublished 2026-04-01

What happened

Labs by Demandbase published "The State of ABM 2026: Pipeline Benchmarks," the inaugural report from the company's new research arm. The report analyzes data from 1,452 Demandbase tenants, 429,634 advertising campaigns, 38 million marketing activities, and 9.7 million sales interactions to identify the patterns that consistently drive stronger pipeline performance in account-based marketing programs.

The report is the first publication under the Labs by Demandbase brand, which the company describes as a dedicated research unit focused on producing go-to-market benchmarks grounded in actual platform data rather than self-reported surveys. The scale of the dataset — spanning more than 24 billion buyer interactions — makes it one of the largest empirical analyses of ABM program performance published to date.

Key findings include a 58.7% win rate for companies using four advertising products (a 71% lift over companies using none), a 48.5% higher win rate when teams track two to three buying groups per product, and 22%+ MQA-to-pipeline conversion rates for organizations with fully integrated CRM, MAP, and predictive model stacks.

Why it matters for CI practitioners

The Demandbase report provides the kind of empirical benchmarks that CI teams rarely get from vendor research — actual win rates, conversion rates, and engagement data drawn from a large multi-tenant dataset. For competitive intelligence practitioners, the report is useful both as a source of competitive benchmarking data and as a signal about where the ABM market is heading.

1. The buying group data changes how CI teams should benchmark. The report's most strategically significant finding is that organizations aligning marketing and sales around buying groups achieve two to three times higher win rates than teams still targeting individual leads. For CI teams, this creates a benchmarking question: is your organization's ABM execution structured around buying groups, and if not, how does your pipeline performance compare to the benchmarks in this report? Buying groups of 13 to 17 stakeholders are identified as the range where engagement and win rates peak — a data point that CI teams can use to evaluate whether their organization's account coverage model matches market best practices.

2. The advertising-win rate correlation provides competitive positioning data. The 58.7% win rate for companies using four advertising products, versus the baseline for companies using none, is the kind of quantified outcome data that CI teams can use in competitive positioning. If your organization sells to or competes with companies running multi-product ABM advertising stacks, this data helps calibrate expectations for their pipeline performance and competitive intensity. It also provides a benchmark for evaluating the ROI claims of ABM platform vendors.

3. Integration maturity is emerging as a competitive differentiator. The finding that organizations connecting CRM, MAP, and predictive models achieve 22%+ MQA-to-pipeline conversion rates — compared to 14% for teams with limited integration — reinforces a theme CI teams are seeing across the revenue technology landscape: integration depth, not feature breadth, is becoming the primary driver of performance differences. For teams evaluating their total addressable market or building competitive landscape analyses of the ABM space, integration maturity should be a primary evaluation axis.

Key details

  • Report title: The State of ABM 2026: Pipeline Benchmarks
  • Publisher: Labs by Demandbase (inaugural report)
  • Data scope: 1,452 Demandbase tenants, 429,634 ad campaigns, 38 million marketing activities, 9.7 million sales interactions, 24 billion+ buyer interactions
  • Win rate — advertising: 58.7% for companies using 4 ad products (71% lift vs. none)
  • Win rate — buying groups: 48.5% higher when tracking 2-3 buying groups per product
  • Buying group size: 13-17 stakeholders identified as optimal engagement range
  • Conversion rates: 22%+ MQA-to-pipeline for fully integrated stacks (vs. 14% baseline)
  • Buying group impact: 2-3x higher win rates for organizations aligned around buying groups vs. individual leads
  • Advertising conversion: Accounts with sustained buying group-level advertising convert to opportunities at 2-3x the rate of accounts without

Market implications

The Demandbase report has implications for how the ABM market positions itself competitively. By publishing benchmarks from a dataset of this scale, Demandbase is establishing Labs as a source of market authority — a move that competitors like 6sense, RollWorks, and Terminus will need to respond to with their own data-backed narratives. The report effectively sets the benchmarking standard that ABM vendors will be measured against in 2026.

For CI teams, the buying group findings are particularly significant because they align with a broader market shift. The transition from lead-based to buying group-based execution has been discussed for years, but this report provides the first large-scale empirical evidence of the win rate differential. Organizations that have not yet shifted to buying group execution now have specific benchmarks quantifying what that delay costs in pipeline performance.

The integration maturity findings also reinforce a competitive dynamic that extends beyond ABM. Across revenue technology categories — from CI platforms to sales engagement to revenue orchestration — the vendors that demonstrate measurable performance lifts from deep integration are pulling ahead of those that compete on standalone feature capabilities. For CI practitioners evaluating vendors in any of these adjacent categories, the Demandbase report's methodology offers a template: ask for outcome data from integrated deployments, not just feature demonstrations.

The practical takeaway for CI teams is to use the report's benchmarks as calibration data. Whether you are building competitive analyses of the ABM market, benchmarking your own organization's pipeline performance, or evaluating vendor claims about advertising and engagement ROI, the Demandbase dataset provides a quantified baseline that moves the conversation from anecdote to evidence.

Related resources

  • Competitive Benchmarking — methodology for benchmarking CI programs against market data like the Demandbase report
  • Total Addressable Market — how ABM pipeline data informs TAM analysis and market sizing
  • Win Rate — understanding the win rate metrics at the center of Demandbase's findings