Skip to content
account-based-marketingabm-benchmarksb2b-marketingpipeline-metricsmarketing-roidemand-generationenterprise-b2b2025-benchmarks

ABM Benchmarks

Last updated:

18 account-based marketing benchmarks from ITSMA, Forrester, Demandbase, and more. Pipeline lift, win rates, deal size, program ROI.

Account-Based Marketing Statistics and Benchmarks

The figure reflects mature-program respondents only, defined as 24-plus months in market.

Named publishers are ITSMA, Forrester, Demandbase, Momentum ITSMA, and Demand Metric. Use this page to set 2025 targets for adoption, pipeline, deal economics, conversion, and efficiency in complex enterprise buying cycles.

Key ABM Statistics at a Glance

The benchmarks below are grouped by adoption and maturity, pipeline contribution, deal economics, conversion, and program efficiency. For target-setting calibrated to program maturity, see the Demand States diagnostic.

Adoption and Maturity Benchmarks

ABM Program Adoption Rate

Applicability: B2B companies with deal sizes above $25,000 annual contract value (ACV). See ACV glossary entry.

Mature ABM Program Share

Applicability: Programs under 18 months in market.

Time to Mature Performance

Applicability: Programs evaluating performance before the 12-month mark.

Pipeline Contribution Benchmarks

ABM Qualified-Pipeline Lift

Applicability: Programs operating 24-plus months with closed-loop attribution between ABM platform engagement and CRM.

Marketing-Sourced Revenue Lift

Applicability: Programs with closed-loop attribution between ABM engagement and CRM opportunity records.

Pipeline Velocity Improvement

Applicability: Deals above $100,000 with multi-stakeholder buying committees.

Account Engagement Rate

Applicability: Programs with platform-instrumented engagement tracking at the account level.

Deal Economics Benchmarks

Average Deal Size Lift

Applicability: B2B technology segments with buying committees above seven stakeholders.

Win Rate Lift

Applicability: Enterprise opportunities at matched ACV bands.

Median Annual Contract Value, Closed-Won ABM

Applicability: B2B technology companies with enterprise segments above $50,000 ACV.

Conversion Benchmarks

Account Penetration Rate

Applicability: Enterprise B2B segments where buying committees exceed five members. See MQA glossary entry.

Content Engagement Lift

Applicability: Programs running account-level personalization at the messaging tier, not firmographic only.

Program Efficiency Benchmarks

Higher-ROI Reporting Rate

Applicability: Programs with attribution infrastructure linking ABM engagement to opportunity outcomes. See our B2B marketing measurement guide for the attribution prerequisites.

Methodology

For publisher-level data and the underlying research, see demandbase.com.

Published values were not modified or interpolated. Datapoints we could not confirm against a primary source were excluded from the published catalog rather than estimated.

Limitations: most cited research samples skew toward North American and EMEA enterprise B2B organizations with ACVs above $50,000. Benchmarks may not transfer cleanly to APAC markets, SMB programs, or non-technology verticals. Survey-based metrics carry standard self-report bias; platform-telemetry metrics from Demandbase are less subject to it.

Methodology Summary

Unverified values were excluded. Samples skew North American and EMEA enterprise B2B above $50,000 ACV.

Structured Metrics Array

```yaml

metrics:

  • label: ABM Qualified-Pipeline Lift (Mature Programs)

value: 171%

  • label: ABM Higher-ROI Reporting Rate

value: 76%

  • label: Average Deal Size Lift

value: 91%

  • label: Win Rate Lift

value: 36%

  • label: Marketing-Sourced Revenue Lift

value: 208%

  • label: ABM Program Adoption Rate

value: 70%

  • label: Mature Program Share

value: 23%

  • label: Time to Mature Performance

value: 18 months

  • label: Account Engagement Rate

value: 63%

  • label: Median Closed-Won ABM ACV

value: $148,000

```

Frequently Asked Questions

What is the average ROI of account-based marketing in 2025?

Programs under 18 months in market are excluded from the mature cohort.

What is a good win rate for ABM-targeted accounts?

Illustrative calculation: a 22% enterprise baseline win rate multiplied by 1.36 yields approximately 30% on targeted accounts. For target-setting by maturity stage, see the Demand States diagnostic.

How are these ABM benchmarks sourced and verified?

Every datapoint names its primary publisher, year, and applicability.

How often should we benchmark our ABM program performance?

Review leading indicators quarterly, account engagement, MQA-to-SQO movement, stakeholder penetration, and lagging indicators annually, win rate, ACV, pipeline contribution.

Set Targets That Match Your Maturity Stage

This page is the reference catalog. For maturity-calibrated targets across engagement, conversion, and pipeline-lift, run The Starr Conspiracy Demand States diagnostic to set MQA-to-SQO, account engagement, and qualified-pipeline targets for your 2025 target-setting cycle. We don't sell ABM experiments. We build ABM systems.

Methodology

Every datapoint includes named publisher, year, and applicability conditions. Samples skew toward North American and EMEA enterprise B2B with ACVs above $50,000; benchmarks may not transfer cleanly to APAC, SMB, or non-technology verticals. Compiled and curated by The Starr Conspiracy.

Working on this yourself? See our B2B marketing agency services.

Related Insights

About The Starr Conspiracy

Bret Starr
Bret StarrFounder & CEO

25+ years in B2B marketing. Built and led agencies, launched products, and helped hundreds of companies find their market position.

Racheal Bates
Racheal BatesChief Experience Officer

Leads client delivery and experience design. Ensures every engagement delivers measurable strategic outcomes.

JJ La Pata
JJ La PataChief Strategy Officer

Drives go-to-market strategy and demand generation for TSC clients. Expert in building B2B growth engines.

Ready to talk strategy?

Book a 30-minute call to discuss how we can help your team.

Loading calendar...

Prefer email? Contact us

See what this looks like in practice

Twenty five years of B2B fundamentals, executed with AI. Here is how we put it to work for companies like yours.

See how we work