30-second answer: Account-based advertising (ABA) targets paid media to a defined account list rather than to broad audiences, with identity resolution binding ad delivery to known firmographics. The vocabulary covers audience build, channel mix, identity, frequency, attribution, and suppression. This glossary defines 22 ABA terms operators encounter in 2026.
An account audience is a list of named accounts (resolved to firmographic identifiers) used as the targeting unit for paid delivery.
A persona audience is a contact-level audience constrained to specific roles within target accounts (CMOs in fintech ICP, security architects in enterprise ICP).
A lookalike audience scales beyond the named list to firmographically similar accounts, used to expand top-of-funnel without abandoning targeting discipline.
A suppression audience excludes current customers, partners, employees, and lost-deal cooldown accounts from delivery.
A tiered audience splits the account list into 1:1, 1:few, 1:many cohorts so creative and frequency adapt to investment tier. See how to build account tiering.
Native account-list targeting on LinkedIn supports company-name uploads matched to LinkedIn pages. Coverage and match rate depend on list cleanliness.
Customer Match supports business-domain or contact-email lists; match-rate variability is higher than LinkedIn for account targeting.
DSPs delivering display, video, and CTV against account-resolved IPs, with match-rate dependent on the resolution provider.
Connected-TV and over-the-top delivery for ABM uses IP-to-company resolution to deliver to accounts in target lists.
Personalization on owned ad surfaces (in-app banners, microsites) for known accounts. See B2B personalization glossary.
The share of an account list that the channel can identify and deliver to. Match rates of 60 to 80 percent are typical for LinkedIn; 30 to 60 percent for programmatic display.
Mapping observed IP addresses to companies; the foundation of programmatic ABA. See reverse IP lookup.
Mapping observed identifiers to a role within an account, supporting persona-targeted creative.
Coordinated delivery across desktop, mobile, and CTV for a single account, requiring identity resolution across devices.
Maximum impressions per account or contact in a window. Tier 1 caps are higher; Tier 3 caps are lower.
Creative tiered to investment level: Tier 1 supports custom video and account-specific copy; Tier 3 reuses category-fit creative.
An ad sequence delivered in order across the buying journey (problem framing first, solution framing second, vendor proof third).
Cluster-level creative reused across accounts in a vertical, balancing relevance and production economics for Tier 2 motions.
Crediting account-level pipeline movement to ad views even without a click, common in tier 1 ABA where the buying journey is multi-touch and offline-heavy.
An A/B test holding out a randomly selected portion of the account list from delivery, then measuring pipeline difference. The most credible ABA measurement method.
Spend per account showing defined engagement (multi-page visit, demo request, sales-meeting accept). A cleaner KPI than cost per click for ABM.
Share of pipeline value with at least one ad touch in a defined window. See martech attribution glossary.
Excluding current customers from new-logo ABA, redirecting them to expansion creative on separate audiences.
Time-bound exclusion of recently lost or churned accounts to avoid annoyance and signal-noise.
Resetting per-account frequency counters when major lifecycle events fire (deal closed-won, opportunity lost, contact churn).
Worked example: an enterprise vendor running ABA spends 50 percent on LinkedIn (account-list match plus persona targeting), 25 percent on programmatic display retargeting against IP-resolved accounts, 15 percent on owned-channel personalization (custom in-app banners and landing pages for known accounts), and 10 percent on CTV reach for top-tier targets. Frequency caps differ by tier (Tier 1 at 30 impressions per week, Tier 3 at 8). Quarterly lift tests measure incremental impact on engaged-account rate and pipeline opened.
Counter-example: the same vendor runs one creative across all tiers, no frequency cap, no suppression, judges the program on cost-per-click, and decides ABA does not work because click cost is high. The programme was never structurally ABA.
Operating tip: list cleanliness drives match rate, match rate drives all downstream metrics. Quarterly list hygiene (domain validation, duplicates removal, expired contact suppression) is the highest-leverage maintenance activity in ABA.
ABA sits inside the broader ABM discipline and connects to B2B personalization (delivering tailored creative when the buyer arrives), attribution (measuring impact), and identity resolution (matching audiences to accounts).
The strongest programs treat ABA as one channel within coordinated orchestration rather than a standalone paid initiative.
The 2026 channel mix continues to shift.
LinkedIn remains the dominant precision channel for persona reach.
Programmatic display is moving away from third-party-cookie-dependent retargeting toward IP-resolved and contextual targeting.
CTV and OTT have grown for top-of-funnel reach.
Owned-channel personalization grows in importance as paid channels become more expensive and less identifiable. What is account-based advertising expands on the strategic placement of ABA in the stack.
ABA programs that compound do three things well. They invest in list hygiene and identity resolution before media spend, because match rates are the master variable. They tier creative and frequency to investment level, instead of running one creative budget across all tiers. And they measure with lift tests at least quarterly, instead of relying on click-based attribution that misrepresents ABM dynamics. Common anti-patterns are running ABA on stale account lists (match rates collapse), reusing one creative across tiers (Tier 1 wastes hand-built relevance, Tier 3 over-invests in production), and judging ABA on cost per click (the wrong metric for an account-level motion). Avoiding these three patterns produces the cleanest ABA stacks.
ABM is the strategic discipline of focusing on named accounts; ABA is one tactical channel within ABM (paid media). See ABM glossary and what is account-based advertising.
LinkedIn for persona reach, programmatic display for retargeting, CTV for awareness, owned-channel personalization for in-context delivery. The mix depends on category, ICP, and budget. See account-based advertising glossary.
60 to 80 percent on LinkedIn for clean lists, 30 to 60 percent for programmatic display, 50 to 70 percent for IP-resolved CTV. Lists with bad domains or aging contact data drop these numbers fast.
Lift tests are the most credible method; pipeline-influence reports are the standard rolling view; first-touch and last-touch reports tend to misrepresent ABA contribution. See martech attribution glossary.
For programs running coordinated ABM, ABA usually takes 30 to 50 percent of paid spend on net-new acquisition. The right number depends on category cycle length and existing pipeline coverage. See ABM playbook 2026.
Account-based advertising is the paid arm of a coordinated ABM program. It works when audience build, identity, creative, and measurement are all calibrated to the account-as-unit; it under-performs when run as broad B2B paid media. Use this glossary alongside the ABA glossary when planning paid coverage.
Ready to put this glossary into practice? Book a demo of Abmatic AI.