Account-Based Marketing Glossary: 25 Key Terms Defined for 2026

30-second answer: Account-based marketing (ABM) is a B2B go-to-market discipline where marketing and sales agree on a named target account list and run coordinated, personalized campaigns to win those specific companies, instead of generating leads at the contact level. The vocabulary spans planning terms (ICP, tiering, target account list), data terms (firmographics, technographics, intent), execution terms (orchestration, personalization, account-based advertising), and measurement terms (account engagement score, pipeline influence, multi-touch attribution). This glossary defines 25 of the most used terms.

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Planning and targeting terms

Account-Based Marketing (ABM)

ABM is a B2B strategy where marketing and sales jointly select a finite list of target accounts and run coordinated, personalized programs to win those accounts. Demand for the discipline grew because enterprise buying committees include 8 to 12 stakeholders, so contact-level lead generation produces qualified leads inside accounts that will never buy. ABM inverts that: pick the accounts first, then engage their committees. See the long-form definition at account-based marketing.

Ideal Customer Profile (ICP)

An ICP is a written description of the company that gets the most value from your product, defined by firmographics (industry, size, geography), technographics (stack), and behavioural signals (buying motion, growth posture). The ICP becomes the filter that scopes the target account list. A clear ICP is the difference between an ABM program that compounds and one that drifts; see how to build an ICP for the construction sequence.

Target Account List (TAL)

A TAL is the named, finite list of companies a revenue team agrees to pursue, usually 50 to 1,000 accounts depending on motion. The TAL is filtered down from the broader universe by ICP fit, intent, and tiering. See target account list for the operating definition.

Account Tiering

Account tiering segments the TAL into 1:1, 1:few, and 1:many groups based on revenue potential and resource intensity. Tier 1 accounts get bespoke programs and named SDR coverage. Tier 3 accounts get programmatic plays. Tiering decides where the marginal hour of effort goes.

Buying Committee

The buying committee is the group of people inside an account who jointly evaluate, approve, and ratify a B2B purchase, typically 8 to 12 stakeholders across champion, economic buyer, technical evaluator, end users, procurement, and security. ABM programs that engage the full committee close at higher rates than programs that engage only the champion. See buying committee.

Data terms

Firmographic Data

Firmographics describe companies: industry, employee count, revenue, geography, ownership structure. Firmographic data is the foundation of B2B targeting and is the first filter in any TAL build. Sources include data providers such as ZoomInfo, Cognism, Apollo, and Clearbit.

Technographic Data

Technographics describe the technology stack a company runs: which CRM, which analytics, which security tools, which marketing automation. Technographics let revenue teams target accounts whose stack is compatible with the product or whose stack signals a switching opportunity.

Intent Data

Intent data signals research activity by a B2B account, derived from content consumption, search behaviour, and product engagement. The signal predicts which accounts are actively in-market. See the long-form definition at intent data.

First-Party Intent Data

First-party intent is signal data captured on properties the vendor owns: website visits, content downloads, demo requests, product usage. It is the highest-trust class of intent because the activity happened with the vendor itself. See first-party intent data.

Third-Party Intent Data

Third-party intent is signal data derived from activity outside the vendor's properties, such as research on industry publications and review sites. It is a wider net than first-party but a lower trust signal because it is inferred at the account level rather than observed directly.

Predictive Intent Data

Predictive intent applies machine learning to combine first-party, third-party, and firmographic signals into a forward-looking propensity score. See predictive intent data.

Scoring and identification terms

Account Fit Score

An account fit score measures how closely a specific company matches the ICP, expressed as a number or letter grade. Fit is structural: industry, size, stack, geography. Fit answers should we sell to this account. See account fit score.

Account Engagement Score

An engagement score sums weighted activity across all contacts at an account: site visits, content views, demo requests, ad engagement. Engagement answers is this account paying attention right now.

Reverse IP Lookup

Reverse IP lookup resolves a website visitor's IP address to the company they work for, enabling account-level identification of anonymous traffic. See reverse IP lookup.

Identity Resolution

Identity resolution stitches signals from cookies, IPs, form fills, and CRM into a single account or person record. It is the backbone of account-level reporting in cookieless environments.

Execution terms

Account-Based Advertising

Account-based advertising serves paid media to specific named accounts on the TAL across LinkedIn, display, programmatic, and connected TV. The targeting is account-level rather than persona-level. See how to do account-based advertising.

Website Personalization

Website personalization renders different page content to different visitors based on account, industry, or stage. The simplest form swaps the hero by industry. The richest form swaps proof points, case studies, and pricing language by named account.

Orchestration

Orchestration coordinates multi-channel touches against the same account so that ads, email, sales outreach, and on-site personalization fire in a sequenced rhythm rather than in isolated channels.

Account-Based Experience (ABX)

ABX extends ABM across the full lifecycle, including post-sale expansion and renewal, with marketing, sales, customer success, and product all working from the same account record. See account-based experience.

Measurement terms

Marketing Qualified Account (MQA)

An MQA is an account whose combined fit and engagement signals exceed a defined threshold, signalling that the account is ready for sales engagement. The MQA replaces the per-contact MQL in account-centric programs. See marketing qualified account.

Pipeline Influence

Pipeline influence credits marketing touches that participated in the journey of a closed-won opportunity, even when those touches were not the last touch. Influence reporting is essential for ABM because the path includes many indirect touches.

Multi-Touch Attribution

Multi-touch attribution distributes credit across the multiple marketing and sales touches that contributed to a deal. See multi-touch attribution for ABM for 2026-ready frameworks.

Cookieless Attribution

Cookieless attribution credits revenue to marketing and sales without third-party cookies, using server-side tagging, identity graphs, and account-level joins. See how to do cookieless attribution.

Strategy and operating terms

Signal-Based Selling

Signal-based selling triggers outbound from real-time buying signals (intent, hiring, funding, technographic shifts) rather than working static lists. The motion compresses time-to-touch from days to minutes.

Account Graph

An account graph is the unified data model that ties contacts, opportunities, signals, and engagement to a single canonical account record across all systems. See account graph.

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Frequently asked questions

What is the difference between ABM and demand generation?

Demand generation casts a wider net to attract any qualified contact across the addressable market and then filters down. ABM picks the named accounts first and runs coordinated programs to win those specific companies. Most mid-market and enterprise B2B teams run both, with ABM scoped to the top 50 to 500 accounts and demand generation covering the long tail.

How many accounts should be on a target account list?

Tier 1 accounts (1:1) typically run 25 to 75 deeply personalized programs. Tier 2 (1:few) covers 100 to 300 accounts grouped by industry or use case. Tier 3 (1:many) can extend to several thousand accounts with programmatic plays. The right total depends on average deal size and SDR capacity.

Is ABM only for enterprise?

No. Mid-market and even Series A startups run ABM successfully when the contract value is high enough to support sales involvement. The tiering changes (a Series A program might be 100 named accounts, 1:few only) but the discipline is the same.

What is the difference between an ICP and a buyer persona?

An ICP describes the company. A buyer persona describes a person inside that company. Both are useful, and they answer different questions. ICP scopes the target account list. Personas shape the message to each role inside the buying committee.

Which terms in this glossary matter most for measurement?

Account engagement score, pipeline influence, multi-touch attribution, and cookieless attribution form the measurement spine of an ABM program. Without those four constructs, programs cannot prove influence on revenue.

Closing

ABM vocabulary keeps growing as the discipline matures. Use this glossary as a reference when reading vendor documentation, RFP responses, and analyst reports. When the same term means different things to different vendors (intent data is a frequent offender), trace the term back to its data source and time decay to compare apples to apples.

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