30-second answer: Account-based marketing metrics measure programs at the account level rather than the contact or lead level. The vocabulary spans coverage metrics (TAL coverage, contact density, buying-committee coverage), engagement metrics (account engagement score, surge accounts, in-market rate), pipeline metrics (MQA conversion, opportunity creation rate, win rate), and revenue metrics (account-level pipeline contribution, ARR influenced, deal velocity). This glossary defines 24 metrics every ABM program needs to instrument.
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TAL coverage measures the percentage of named accounts on the target account list that have at least one identified contact, one mapped buying-committee role, or one engaged touch in the period. Low coverage is the silent killer of ABM programs because programs cannot influence accounts that have no committee data attached. See target account list.
Contact density is the average number of identified contacts per target account. Programs targeting enterprise accounts need higher density (usually 8 to 15) to reach the buying committee; mid-market programs run lower (4 to 8).
Buying committee coverage is the percentage of target accounts where the program has identified at least one named contact in each required role: champion, economic buyer, technical evaluator. See buying committee and buying committee orchestration.
Account reach is the percentage of target accounts that received at least one program touch (ad impression, email, sales activity) in a measurement window. It is the most basic measure of program execution.
An engagement score sums weighted activity across all known contacts at an account: site visits, content consumption, ad engagement, email opens, demo requests, sales meetings. The score answers is this account paying attention right now.
Engaged account rate is the percentage of target accounts with engagement scores above a defined threshold in the period. It is the leading indicator of pipeline.
Surge accounts are accounts whose intent or engagement signal exceeded their own historical baseline in the period, indicating new in-market activity. The count is monitored weekly to time outreach.
In-market rate is the percentage of target accounts whose combined intent signals classify them as actively researching the category. The cut is platform-specific. See identify in-market accounts.
Page-view depth is the average number of distinct pages viewed per known account in the period. Higher depth correlates with later-stage research.
Time-on-site per account is total minutes of engagement summed across all known contacts at the account. It is a coarser but more comparable engagement signal than page-view depth.
MQA rate is the percentage of target accounts that crossed the marketing-qualified threshold in the period. The MQA replaces the contact-level MQL in account-centric programs. See marketing qualified account.
MQA-to-opportunity conversion measures the rate at which marketing qualified accounts produce a sales-stage opportunity. The standard window is 30, 60, or 90 days.
Opportunity creation rate is the percentage of target accounts that produced at least one open sales opportunity in the period. It is the most reliable pipeline-side indicator.
Average deal size is mean ACV across closed-won opportunities in the period. ABM programs typically push average deal size up because they target larger accounts.
Win rate is closed-won opportunities divided by closed (won plus lost) opportunities. ABM-influenced opportunities usually carry higher win rates than non-ABM opportunities.
Deal velocity is the average number of days from opportunity creation to closed-won. ABM programs should compress velocity because the buying committee is engaged earlier.
Account-level pipeline is the sum of open opportunity value at target accounts. It is the most direct measure of program output.
Pipeline influence credits programs whose touches participated in the journey of a closed-won opportunity, even when those touches were not the last touch. See multi-touch attribution for ABM.
ARR influenced is the annual recurring revenue from accounts whose journey included at least one ABM touch. Influenced ARR is the most defensible board-level number for ABM programs.
Cost per engaged account is total program spend divided by the count of accounts that crossed the engagement threshold. The metric is the cleanest unit-economic input for ABM.
Cost per opportunity is total program spend divided by opportunities created at target accounts in the period. It is the standard efficiency metric.
NRR is gross revenue from existing customers in the period divided by the same cohort's revenue 12 months prior, including expansion and contraction. Expansion-focused ABM programs are measured against NRR.
Logo retention is the percentage of customer accounts retained period-over-period. ABM expansion programs target NRR; ABM retention programs target logo retention.
Account penetration is the percentage of an account's named contacts engaged at least once in the period. High penetration correlates with renewal and expansion.
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For mature programs, ARR influenced is the highest-leverage metric because it ties to the board number. For programs in their first 6 to 12 months, opportunity creation rate is the better proxy because revenue lag obscures program signal. See how to measure ABM ROI.
MQL-based measurement counts contacts. ABM measurement counts accounts. The difference matters because two MQLs from the same account are not two opportunities; they are one account that has two engaged contacts. ABM measurement avoids the double-count.
Yes, but as supporting context, not as headline numbers. Contact-level metrics are useful for diagnosing why an account is or is not progressing. Headline reporting should stay account-level.
Coverage and engagement metrics show signal in 30 to 60 days. Pipeline metrics show signal in 60 to 120 days. Revenue and ARR metrics show signal in 6 to 12 months because the B2B sales cycle is the binding constraint.
Sourced pipeline credits the program that originated the opportunity (first touch). Influenced pipeline credits any program whose touch sat inside the opportunity's journey. Most ABM programs report both, with influenced as the primary number because ABM is rarely a single-touch motion.
ABM metrics live or die on data quality. Account-level reporting only works when contacts, opportunities, and touches are all stitched to a canonical account record. Without that stitching, the same numbers tell different stories in different systems. Instrument identity resolution before instrumenting the metrics.
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