30-second answer: Account-based advertising (ABA) targets paid media to specific named companies on a target account list, rather than persona-level audiences. The vocabulary spans audience-class terms (account list, lookalike, retargeting, contact-level), platform-class terms (LinkedIn matched audiences, programmatic display, CTV, paid social), creative-class terms (account-named, industry-named, persona-rotated), and measurement-class terms (account reach, account engaged, view-through, account-level CPM, ABM ROAS). This glossary defines 22 ABA terms.
A target account audience is a paid-media audience built directly from the named TAL, with the platform matching domain, company name, or stitched IDs to its own account graph. It is the foundational audience type in ABA. See target account list.
A lookalike audience expands targeting to companies similar to a seed list of high-value customers, used when the TAL is too small to spend efficiently. Lookalikes are the standard scale-out lever in ABA.
A contact-level audience targets named individuals at target accounts (often hashed emails) rather than companies. It is more precise than account-level when the platform supports it.
A retargeting audience targets visitors who already engaged with the vendor's site or content. ABA retargeting filters retargeting pools further to keep spend on TAL accounts only.
A negative account list excludes specified companies (existing customers, customers in renewal, ineligible verticals) from ABA campaigns. Negative lists prevent wasted spend on unreachable or unwanted accounts.
LinkedIn matched audiences accept uploaded company-name or domain lists and match them against LinkedIn's company database for paid targeting. It is the dominant ABA platform because LinkedIn's firmographic targeting is native. See how to launch ABA on LinkedIn.
Programmatic display buys banner inventory across the open web through automated exchanges. ABA programmatic uses account-graph integrations to target named accounts at the household-IP level.
Connected TV serves video ads on streaming platforms. ABA CTV is emerging in 2026 because IP-based household match enables account-level targeting on the largest screen in the home, which often is the executive's home.
Paid social on Meta, X, Reddit, and TikTok increasingly supports B2B targeting through partner integrations and matched audiences. LinkedIn dominates because of native firmographics, but multi-platform paid social is part of mature ABA stacks.
Account-based display networks (Demandbase, Terminus, 6sense, RollWorks) are programmatic networks that specialize in TAL targeting via integrated account graphs. They simplify execution at the cost of platform dependency.
Account-named creative inserts the target company's name or logo directly into the ad creative. It is reserved for tier 1 accounts because production cost scales with the named-account count. See how to run 1:1 ABM.
Industry-named creative tailors copy and visuals to the visitor's industry, with a single creative covering many accounts inside that industry. It is the dominant 1:few creative pattern.
Persona-rotated creative serves different ad versions based on the inferred role of the viewer (engineer, marketer, executive). It is most effective on platforms with role-level targeting like LinkedIn.
Sequential messaging serves a planned ad sequence to the same account over time, moving the message from awareness to consideration to decision as engagement builds.
A frequency cap limits the number of ad impressions per account or per contact in a defined window, preventing fatigue and wasted spend on saturated accounts.
Account reach is the percentage of target accounts that received at least one ad impression in the period. It is the most basic execution metric. See how to do account-based advertising.
Account-level CPM is total ad spend divided by impressions to target accounts only (excluding spillover to non-target). It is the cleanest cost metric for ABA campaigns.
Cost per engaged account is total spend divided by the count of target accounts whose engagement score crossed a threshold during the campaign period. It is the most useful efficiency metric because engagement is the leading indicator of pipeline.
A view-through conversion credits an ad that was viewed (impressed) but not clicked, when the target account converts within the attribution window. View-through is contentious but real for awareness channels.
ABM ROAS is closed-won revenue from target-account opportunities divided by ABA spend. It is the standard board-level efficiency metric for paid ABM. See how to measure ABM ROI.
Pipeline influence credits ABA campaigns whose impressions appear in the journey of closed-won opportunities, even when the ad was not the last touch. See multi-touch attribution for ABM.
TAL-to-audience sync is the automated pipeline that pushes target account list updates to ad platforms (LinkedIn, programmatic, CTV) as audiences. Manual list pushes are a common operational failure point; automated sync prevents staleness.
Match rate is the percentage of TAL accounts that the ad platform recognizes and can target. LinkedIn match rates above 80 percent are common for clean domain lists; programmatic match rates vary widely by network.
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Regular B2B paid media targets persona-level audiences (job title, function, seniority) across the full addressable market. ABA targets named accounts on the TAL, often layered with persona filters inside those accounts. The targeting unit is the company, not the person.
Most well-run programs allocate 30 to 50 percent of paid B2B budget to LinkedIn ABA when the TAL fits LinkedIn's firmographic strengths (mid-market and enterprise B2B). Smaller TALs and SMB-focused programs allocate less. See how to launch ABA on LinkedIn.
Account-named creative outperforms industry-named in tier 1 (1:1) campaigns where production cost is justified by deal size. Industry-named is the right pattern at tier 2 (1:few). At tier 3 (1:many), persona-rotated industry creative wins because production cost dominates.
ABA retargeting layers retargeting filters on top of TAL targeting, ensuring that retargeting budget is spent only on accounts the program already wants to win. Untargeted retargeting on a B2B site routinely wastes 30 to 50 percent of spend on non-ICP visitors.
Pipeline influence (W-shaped or data-driven) is the right primary model because ABA is rarely the last touch. Pair the influence model with periodic incrementality testing to validate the contribution of awareness-stage spend.
Account-based advertising vocabulary keeps evolving as platforms add new targeting and measurement primitives. The cleanest programs combine LinkedIn matched audiences, programmatic with account-graph integrations, retargeting filtered to TAL, and disciplined measurement that separates account reach from account engagement from pipeline influence. Use this glossary as a reference when reading ABA platform documentation.
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