Account-based marketing (ABM) is a business-to-business (B2B) strategy in which a supplier picks a defined list of companies it wants as customers and directs marketing and sales effort at those companies, rather than casting a wide net and sorting through whoever responds. The unit of work is the account, meaning an organisation, not the individual lead. It exists because large B2B purchases are made by committees inside a small number of firms. A software vendor selling to banks may have only a few hundred realistic buyers worldwide, and each deal involves many people. Generating thousands of anonymous form fills does little for a seller in that position. ABM reverses the order: choose the accounts first, then find and reach the people inside them.

How an ABM programme runs

The work follows a sequence that most practitioners describe in similar terms.

Account selection comes first. Marketing and sales agree on an ideal customer profile (ICP), a description of the firms most likely to buy and stay, built from firmographic data (industry, headcount, revenue, location) and technographic data (the software a company already runs). The ICP is then turned into a named list, the target account list, often a few hundred to a few thousand companies.

Tiering follows. The original framework from the Information Technology Services Marketing Association (ITSMA) split programmes into three types, according to Bev Burgess and Dave Munn's 2021 book on the subject: strategic ABM, or one-to-one programmes built for a single large account; ABM lite, or one-to-few programmes for small clusters of accounts with shared problems; and programmatic ABM, or one-to-many programmes that use software to personalise at scale for hundreds of accounts. Budget per account falls sharply from the first tier to the last.

Account-level signals decide where effort goes within the list. Intent data providers such as Bombora pool content consumption from publisher co-ops to flag companies researching a topic; by December 2025 Bombora offered more than 19,000 intent-based audiences. Website visits are mapped to companies through reverse IP lookup, which matches a visitor's IP address against databases of corporate network ranges. CRM records, product usage and engagement with sales emails are added in. The result is an account score, a cousin of lead scoring that rolls individual activity up to the company.

Orchestration is the outreach itself. Ads warm up the account, sales development representatives send email and call, and content or events are tailored to the industry or even to the single company.

Measurement happens at account level. Instead of cost per lead, ABM teams track metrics such as accounts reached, account engagement, pipeline opened within target accounts, deal size and win rate against a control group of comparable non-targeted firms.

Where advertising fits

Paid media is the most visible part of ABM to the ad industry. LinkedIn is the dominant channel because members state their employer. Its Matched Audiences product, described in a June 2017 LinkedIn post, let advertisers upload up to 30,000 companies and match them against more than 8 million company pages. The ceiling has risen since. LinkedIn's developer documentation now caps CSV uploads at 300,000 records or 20 megabytes, requires at least 300 matched members before a campaign serves, recommends at least 1,000 companies, and says matching takes 24 to 48 hours.

Microsoft brought the same data to search. LinkedIn profile targeting in Microsoft Advertising, which started on April 1, 2022 with more than 80,000 companies, added job seniority in June 2026 across 29 markets.

On the open web, demand-side platforms (DSPs) and ABM vendors resolve a company list to impressions through IP ranges, cookie and device graphs, and data partners. This is where account-based advertising sits: buying programmatic display, video and connected TV against a named list. It depends on the bid request carrying a usable IP address. Google's AdSense withheld the last octet of the address by default until June 1, 2026, when it added a full-IP setting that publishers must switch on. A truncated address points to a block of 256 addresses rather than one corporate network, which blurs whether an impression landed inside a target account.

The platform category is crowded. Demandbase, 6sense, Terminus and AdRoll ABM (formerly RollWorks, renamed in August 2025) bundle account identification, intent scoring, advertising and reporting. Marketing automation suites added ABM modules too; Marketo launched its ABM product in September 2016. Gartner publishes a Magic Quadrant for Account-Based Marketing Platforms; its November 6, 2025 edition named 6sense a Leader for the fifth consecutive year, according to 6sense.

Origin and evolution

The idea predates the label. Key account management in industrial sales has long assigned teams to big customers, and Don Peppers and Martha Rogers argued in The One to One Future (1993) that the firm knowing most about an individual customer would serve it most efficiently.

The term itself was coined in 2003 by Bev Burgess, then running ITSMA's European operation, according to the Wikipedia entry citing Burgess and Munn. Marketing Week, in an April 2026 history, describes Burgess as widely credited with the coinage and calls early ABM "little more than an experiment in the 2000s". Strategic, one-to-one work was the original form.

Software turned it into a mass-market category in the mid-2010s. Demandbase, founded by Chris Golec, was joined by Terminus, founded in Atlanta in 2014, according to Terminus, and by Engagio, founded by former Marketo executive Jon Miller. Marketo's 2016 launch and LinkedIn's 2017 Matched Audiences followed. Programmatic ABM, the one-to-many tier, grew fastest because advertising technology made it cheap. Consolidation came next: Demandbase bought Engagio in June 2020, and Miller later recast the pitch as "account-based experience", which he described in 2022 as merging "the best of ABM and customer experience" when Demandbase launched a certification that it said had already been taken by more than 7,000 people.

Analyst research then shifted the unit again, from the account to the people inside it. Forrester, which absorbed SiriusDecisions, introduced its B2B Revenue Waterfall in 2021, arguing that multiple leads from one organisation should be bundled and treated as "one selling opportunity", according to a Forrester blog post. Its December 2024 State of Business Buying report put the average number of people in a purchase decision at 13, with 89% of purchases spanning two or more departments, according to Forrester. The buying group, not the whole account, became the target.

Why it matters to marketers

ABM changes what advertising is asked to prove. A campaign judged on cost per lead can look cheap while producing nothing a sales team wants. Judged on accounts, the same spend is assessed by whether named companies engaged and whether deals followed.

That pressure explains LinkedIn's push into account-level reporting. In September 2025 it launched a Company Intelligence API that feeds aggregated paid and organic company engagement to certified attribution partners including Channel99, Dreamdata, Factors.ai, Fibbler and Octane11. Channel99, started by Demandbase founder Golec, then automated the sync of target account lists to LinkedIn, Google, Microsoft and other platforms from December 2025.

Limitations and disputes

Identification is imperfect. Reverse IP lookup assumes people browse from office networks. Remote work, virtual private networks and Apple's Private Relay break that link. Vendors commonly quote identification rates of 30% to 70% of visitors, a range that Abmatic AI, a competing vendor, called unsourced in June 2026, adding that it conflates coverage with accuracy. On LinkedIn, a 1,000-company list may still match too few members to serve.

Attribution remains contested. Account-level reporting credits any engagement by anyone at a company that later buys. Large target accounts would generate some activity regardless. Without holdout groups, influenced pipeline figures overstate cause.

Vendor ROI claims are rarely auditable. 6sense cites 4 times higher conversion rates, 27% faster sales cycles and 46% larger deals in its own release. LinkedIn's customer story on Zembl reported an 82% larger ABM budget, but PPC Land's review found no baseline, time period, deal count or spend figure. Industry surveys claiming most practitioners see higher returns than from demand generation are largely vendor-funded.

Alignment is costly. ABM requires sales and marketing to agree on one list, one set of definitions and shared targets. When they do not, the programme becomes advertising to a list that sales ignores.

Privacy law applies. Company-level targeting still processes data about individual employees in Europe, and IP addresses can be personal data under the General Data Protection Regulation (GDPR), which limits what can be inferred and shared.

Not the same as

Account-based advertising - the paid media component of ABM, buying impressions against a company list. ABM also covers sales outreach, content and events.

Lead-based marketing - the traditional model that generates individual leads, scores them and passes the best to sales. ABM selects accounts before any lead exists.

Demand generation - a broad effort to create interest across a market. It is often run alongside ABM, with ABM taking the highest-value slice.

Customer Match and contact list targeting - Customer Match uploads hashed personal identifiers such as emails. ABM company lists target organisations, typically by name or domain.

Recent developments

The direction in 2026 is toward buying groups and AI agents. Intentsify launched QuantumDemand on August 11, 2026, proposing marketing qualified accounts in place of individual leads. On October 15, 2026, Salesforce named Demandbase a launch data partner for Hunter, its outbound sales agent, giving users Demandbase account, buying group and intent data with no separate contract. And today PPC Land examined LinkedIn's Zembl case study, in which a Company Page view appeared in the recorded path of 19% of closed deals, a figure published without the total deal count.

Timeline

  • 1993: Don Peppers and Martha Rogers publish The One to One Future
  • 2003: Bev Burgess at ITSMA coins the term account-based marketing
  • 2014: Terminus is founded in Atlanta
  • September 13, 2016: Marketo announces Marketo Account-Based Marketing
  • June 5, 2017: LinkedIn details Matched Audiences account targeting, with lists of up to 30,000 companies
  • June 2020: Demandbase acquires Engagio; Jon Miller becomes chief product officer
  • 2021: Forrester introduces the B2B Revenue Waterfall, bundling leads into buying group opportunities
  • February 2022: Demandbase launches its account-based experience certification
  • April 1, 2022: Microsoft Advertising starts LinkedIn profile targeting, including company
  • December 4, 2024: Forrester puts the average purchase decision at 13 people
  • August 2025: RollWorks becomes AdRoll ABM
  • September 23, 2025: LinkedIn makes its Company Intelligence API available through attribution partners
  • November 6, 2025: Gartner publishes its Magic Quadrant for Account-Based Marketing Platforms
  • December 11, 2025: Channel99 launches dynamic account audiences across ad platforms
  • June 1, 2026: Google adds a full IP address setting to AdSense
  • June 15, 2026: Microsoft Advertising adds job seniority to LinkedIn profile targeting
  • August 11, 2026: Intentsify launches QuantumDemand and marketing qualified accounts
  • October 15, 2026: Demandbase becomes a launch data partner for Salesforce's Hunter agent

Summary

Who: B2B suppliers with high-value, concentrated customer bases run ABM, with marketing and sales teams working from one list. Vendors include Demandbase, 6sense, Terminus and AdRoll ABM, intent providers such as Bombora and Intentsify, and ad platforms led by LinkedIn and Microsoft Advertising. ITSMA's Bev Burgess is credited with the term.

What: A strategy that selects named target companies, tiers them by value, monitors account-level signals and coordinates ads, email, sales outreach and content toward the people inside each account, measuring success by account engagement, pipeline and revenue rather than lead volume.

When: Coined in 2003, scaled through software from the mid-2010s, consolidated around 2020, and shifting toward buying groups and AI sales agents through 2026.

Where: Inside ABM platforms and CRM systems, and in media through LinkedIn company list targeting, Microsoft Advertising profile targeting and programmatic buying that resolves company lists via IP ranges and data partners.

Why: Large B2B purchases are made by committees in a small number of firms, so volume lead generation wastes effort. ABM concentrates spend where revenue is likely, though imperfect company identification, contested account-level attribution, unaudited vendor ROI claims and the cost of aligning sales and marketing limit what it can prove.