Most lists of account based marketing examples are collections of clever stunts: a custom comic book, a billboard outside a prospect's office, a drone delivering a gift. They are fun to read and nearly impossible to copy, because the hard part (picking the account, coordinating sales, measuring the result) is never shown.
This post is organised the other way around. ABM examples are grouped by tier (1:1, 1:few, 1:many), because the tier decides your budget per account, your content effort, and what you should measure. Each example lists the plays by channel: website, ads, direct mail, SDR, and events. We start with three documented programs from public sources, then three worked examples you can adapt line by line.
The Three ABM Tiers in One Minute
- 1:1 (strategic ABM): a handful of accounts, each with its own plan, content, and cross-functional team. High cost per account, used where one deal changes the year.
- 1:few (ABM lite): clusters of 5-15 accounts that share an industry, problem, or technology. Content is built per cluster, then lightly adjusted per account.
- 1:many (programmatic ABM): hundreds or thousands of accounts that fit the ICP. Personalization runs on rules by industry, size, and engagement, not by hand. Managing that many rules is its own discipline; see personalization at scale.
If you are still deciding which tier your accounts belong in, start with our account-based marketing strategy framework and come back. The examples below assume you already have a target list.
Real Account Based Marketing Examples (Documented Programs)
We only include programs where the details come from a public source we could check. Vendor-published case studies are labelled as such, since the vendor chose what to report.
Snowflake: 1:1 experiences at scale, warmed before the SDR call
A case study published by AdRoll (Snowflake's ABM ad vendor) describes how Snowflake scaled 1:1 ABM experiences to over 2,000 accounts with a six-person ABM team. The parts worth copying:
- Targeting: accounts with existing sales conversations first; cold accounts only when intent data showed a surge on non-branded topics.
- Website: ad clicks went to account-specific destination pages, with persona-based messaging, CTAs by sales stage, and usually a note and photo from the account's sales rep.
- SDR: a "1-2 punch". ABM warmed an account for two to four weeks, then an SDR reached out directly and handed off to an AE when ready.
- Direct mail: SDRs sent e-gifts to lower-level contacts and worked upward.
- Reported results: a 75% quarter-over-quarter increase in SDR-booked meetings in ABM accounts, and a 3x increase in meeting rate in the most closely aligned 1:1 accounts (vendor-reported).
The lesson: "1:1" at Snowflake's scale is templated pages filled with account data and a real rep's face, not 2,000 bespoke microsites. The SDR timing is the part most teams skip.
DocuSign: industry-focused ABM with the website in the loop
DocuSign is one of the longest-running public ABM references. Fortune's 2015 coverage of Demandbase, whose platform identifies accounts showing purchase intent, personalizes the message they see, and alerts sales when to act, reported that DocuSign saw a 22% increase in its sales pipeline using the platform, citing a case study of the deployment. Forrester later published a case study on DocuSign using vertical account-based marketing to reach enterprise accounts, focused on life sciences.
The lesson: organise by vertical, then make every channel tell that vertical's story, including the website. An ad that reaches a pharma account only works if the click lands on a page that talks about pharma. A cluster-level page per industry plus a shorter conversion path for named accounts is a play any team can rebuild in a quarter.
Palo Alto Networks: buying groups instead of leads
Forrester's write-up of its 2025 B2B Program of the Year winners describes Palo Alto Networks moving from lead-level to buying-group-level management, focused on adding buying group members with the right titles. Forrester reports that win rates doubled during the pilot stage.
This is an operating change that applies to every tier: an account counts as engaged when several roles are engaged, not when one person downloads an ebook. Our buying committee definition covers which roles to map.
1:1 Example You Can Copy: Eight Strategic Accounts
Example (hypothetical): a 300-person supply chain planning software company picks eight strategic accounts, all global manufacturers already running a competitor's planning tool with a contract renewal in the next 12 months.
- Research: one account brief per company. Annual report priorities, recent supply disruptions mentioned on earnings calls, named executives, and the incumbent tool.
- Website: a private account page per company: headline naming their stated priority, a migration plan from their current tool, two case studies from the same sub-industry, and the account team's photos with a direct calendar link. The homepage hero also changes for visitors identified as that account.
- Direct mail: a printed "renewal readiness" brief sent to the VP Supply Chain and the CFO, with a short URL to their account page.
- Ads: LinkedIn ads targeted to the account's employees in planning, finance, and IT, pointing to the account page.
- SDR and AE: account page visits and multi-person engagement trigger an alert; the AE follows up within a business day with a reference to what was viewed.
- Events: an executive dinner for the eight accounts' supply chain leaders, hosted with a customer who switched.
What to measure: roles engaged per account (target: economic buyer, technical evaluator, and a champion), meetings with each role, and opportunity creation before the renewal date. Pipeline per account matters more than any volume metric at this tier.
1:few Example You Can Copy: 40 Regional Banks in Three Clusters
Example (hypothetical): a 120-person data security vendor targets 40 regional banks. It splits them into three clusters by the problem they face: banks recently fined or named in a regulatory action (10), banks mid-way through a core banking migration (18), and banks that acquired another bank in the last two years (12).
- Website: one landing page per cluster ("Data security during a core banking migration") with a cluster-specific case study and checklist. When a visitor from any of the 40 banks lands on the homepage or pricing page, the hero, logos, and CTA switch to their cluster's version. Setting this up follows the steps in our ABM website personalization playbook. An annotated account-specific page is included in our B2B landing page examples.
- Ads: account-list targeting on LinkedIn, one creative set per cluster.
- Direct mail: a printed cluster checklist to the CISO and head of compliance, with a handwritten note from the AE.
- SDR: outreach references the cluster's trigger event, not the product. Sequences start after the account shows engagement from at least two people.
- Events: a closed-door virtual roundtable per cluster with a former bank regulator.
What to measure: engaged accounts per cluster, breadth (distinct people per account), cluster page conversion rate, and meetings per engaged account. Compare clusters against each other: if one cluster engages and another does not, the trigger event or message is wrong, not ABM.
1:many Example You Can Copy: 1,500 Mid-Market Manufacturers
Example (hypothetical): an HR and payroll platform targets 1,500 manufacturers with 200-2,000 employees in two countries. There is no manual content per account. Everything runs on rules.
- Website: industry-level dynamic content on the homepage, pricing page, and product pages: shift-worker payroll headline, manufacturing logos, and a CTA to a manufacturing ROI calculator. Visitors from the target list see an extra proof block about multi-site payroll. The rules are set by industry and company size, with the default page untouched for everyone else.
- Ads: account-list display and LinkedIn ads at a modest frequency cap, two creatives rotated monthly.
- SDR: no outreach until an account crosses an engagement threshold (for example, two or more people, or one visit to pricing). Then a short, role-specific sequence starts.
- Direct mail: none by default. A low-cost mailer is triggered only for accounts that reach the threshold, so spend follows intent.
- Events: a quarterly webinar on shift scheduling and payroll compliance, promoted to the list.
What to measure: account reach, the share of accounts crossing the engagement threshold, and opportunity rate of target accounts versus a control group of similar accounts not on the program. Our post on ABM metrics explains how to set up that control group and what each stage should report.
ABM Examples Compared: Tier, Channels, and What to Measure
| Example | Tier | Channels | What to measure |
|---|---|---|---|
| Snowflake (documented) | 1:1 at scale | Website destination pages, ads, SDR, e-gifts, field events | SDR meetings booked in ABM accounts, meeting rate in 1:1 accounts |
| DocuSign (documented) | 1:few by industry (vertical) | Intent-based targeting, personalized messaging, sales alerts | Target account reach, pipeline in target verticals |
| Palo Alto Networks (documented) | All tiers (operating model) | SDR and sales process, buying group data | Buying group coverage, win rate |
| 8 strategic manufacturers (hypothetical) | 1:1 | Account pages, direct mail, LinkedIn ads, AE follow-up, executive dinner | Roles engaged per account, meetings per role, opportunities before renewal |
| 40 regional banks (hypothetical) | 1:few | Cluster pages and site personalization, ads, mail, SDR, roundtables | Engaged accounts and breadth per cluster, cluster page conversion |
| 1,500 manufacturers (hypothetical) | 1:many | Rule-based site personalization, ads, threshold-triggered SDR and mail, webinars | Threshold crossings, opportunity rate versus control |
What Most Teams Get Wrong When Copying ABM Examples
They copy the stunt and skip the follow-up. A memorable mailer that lands on a desk with no SDR call, no account page, and no tracking is a gift, not a program. In every documented example above, the part that produced results was the coordination after the first touch.
They point ABM ads at a generic homepage. The ad says "built for regional banks" and the click lands on a page about everyone. Your website is the one channel every target account will touch, often several times, and it is usually the last one to be personalized. Our view is that a team with a limited budget should personalize the site for its target list before buying more ad impressions.
They pick the tier by ambition, not by deal size. 1:1 is expensive per account. If the account's deal value does not justify a dedicated plan, it belongs in 1:few. Most programs we would recommend start with 1:few clusters, where the content effort is shared but still specific.
They measure ABM like lead gen. Counting MQLs from 40 banks will always disappoint. Measure engaged accounts, breadth inside each account, and progression against a control group.
They let SDRs start too early. Cold outreach to an account that has shown no engagement wastes the warm-up. Snowflake's two-to-four-week warm-up before SDR contact is a pattern worth copying directly.
How to Pick Your First Example to Copy
- Sort your target list by deal value and fit. The top handful may justify 1:1; the next tier forms 1:few clusters; the rest is 1:many.
- Find a shared trigger for clusters. Regulation, migration, acquisition, new leadership, or a competitor contract ending. Clusters based on a problem outperform clusters based on industry alone, in our experience.
- Build the website layer first. One page per cluster, and rules that switch the homepage hero, proof, and CTA for target-account visitors.
- Add ads and mail that point to that layer. Every touch should land on content that continues the same message.
- Define the SDR trigger. Write down the engagement threshold that starts outreach, and the alert that tells the SDR what the account looked at.
- Set the measurement plan before launch. Coverage in months 1-2, engagement and breadth in months 2-4, progression against control after that.
For context on how B2B teams are running account-based programs today, see our State of B2B Personalization 2026 report. If you need to check that your target accounts actually move through the funnel, our post on the B2B marketing funnel shows where ABM stages fit.
The website layer is where most of these examples succeed or stall, because it requires knowing which target account is on the page. Markettailor's account-based marketing features match visits to your target list and switch headlines, proof, and CTAs per account or cluster, and its visitor identification feeds the SDR alerts described above.
Frequently Asked Questions
What is an example of account-based marketing?
A software vendor picks 40 regional banks, groups them by a shared problem such as a core banking migration, and runs coordinated ads, a cluster-specific landing page, personalized website content for visits from those banks, direct mail to the security and compliance leaders, and SDR outreach once several people at a bank engage.
What are the three types of ABM?
The three types are 1:1 (strategic ABM for a few high-value accounts with custom plans), 1:few (clusters of similar accounts sharing content), and 1:many (programmatic ABM across hundreds or thousands of accounts using rules and automation).
How many accounts should be in a 1:1 ABM program?
Only as many as your team can give a dedicated plan, research, and content to, which for most mid-sized B2B teams is a single-digit or low double-digit number. If you cannot write a specific account brief for each one, those accounts belong in a 1:few cluster.
How do you measure an account-based marketing campaign?
Measure by account, not by lead: target account reach, engaged accounts, the number of distinct people engaged per account, meetings, opportunity creation, and win rate. Compare target accounts with a control group of similar accounts to show the program's effect.