Account based marketing has been a B2B buzzword for more than a decade, and the idea underneath is simple. Instead of casting a wide net and qualifying whoever shows up, you choose the companies you want to win and build sales and marketing activity around them. Where teams get stuck is execution: which accounts, how much effort each one gets, and what happens when someone from those accounts actually lands on the website.
This post is a working framework for that. It covers building the target account list, tiering it, aligning the website with each tier, measuring progress, and a 30-day plan to start.
What ABM Is (and What It Isn't)
ABM is not "marketing to a list". That is demand generation with a filter. In ABM every touchpoint (ads, content, website, outreach, events) is coordinated around named accounts, and success is measured by account engagement and pipeline instead of MQL volume. If you add display ads to an ABM program, our explainer on which targeting option is best for brand awareness covers which Google Ads segments fit each stage.
A quick test: ask a sales rep to name the accounts marketing is targeting this quarter. If they cannot, you are running segmented demand gen and calling it ABM.
The reason to organize around accounts is that buying is done by groups. Forrester's 2024 buyers' journey survey found that on average 13 people are involved in a purchasing decision. Reaching one of them with a great lead nurture sequence leaves the other twelve untouched.
ABM does not need an expensive platform to start. A CRM, a shared spreadsheet of target accounts, LinkedIn ads, and website personalization are enough for a first program. Tools help you scale a strategy; they do not create one. When you price the LinkedIn side, a CPM calculator turns the platform's quote into impressions per account on your list. When you do look at tooling, compare ABM platforms and agencies by the jobs you need covered.
Before buying anything, write down three things: the target account list, the buying committee roles you expect at each account, and the value proposition for each tier. If that document is hard to fill in, you need a strategy session, not software. In complex sectors the committee is larger than most teams map; healthcare buying committees are a good example.
Building Your Target Account List
Every later activity depends on the list, so a weak list wastes everything downstream. Teams usually build it one of three ways.
The sales wish list collects dream logos from reps. It is aspirational rather than strategic: a rep may want to land a household-name tech giant, but if you sell mid-market HR software, that account is not a realistic target.
The data dump pulls every company matching a broad filter (industry plus size) from a data provider. You end up with thousands of accounts and no way to prioritize them, which is demand gen with extra steps.
The pattern match, which we recommend, starts from your best existing customers. Take your top 20 accounts by lifetime value and look for what they share: industry, size, tech stack, growth stage, and the problem that triggered the purchase. Then find more companies with that pattern. Our guide to building your ideal customer profile walks through the attributes to compare.
To rank the list, score each account on four dimensions:
| Dimension | Points | What it measures |
|---|---|---|
| Fit | 0-30 | Match with your ICP on firmographics: industry, revenue, employee count, geography |
| Intent | 0-30 | Buying signals: visits to your evaluation pages, relevant topic research, job postings for roles your product supports |
| Relationship | 0-20 | Existing connections: past conversations, former customers who moved there, shared investors or partners |
| Opportunity | 0-20 | Realistic deal size and timing: contract value potential, budget cycle, incumbent vendor |
Stack-rank the totals. As a starting rule, accounts at 70 or above are Tier 1 candidates, 50 to 69 go to Tier 2, and the rest go to Tier 3 or come off the list. Re-score quarterly, because intent changes much faster than fit. Once the program runs, you may want to separate fit and engagement into two scores rather than one total; our post on account scoring explains why.
The Tiered Approach: 1:1, 1:Few, 1:Many
Accounts do not deserve equal effort. Treating a large strategic opportunity like a small one wastes money on one end and under-serves the other. The usual answer is three tiers. The account counts below are starting points; set yours by how many accounts your team can genuinely work.
Tier 1: One-to-One (roughly 5-20 accounts)
Your highest-value targets each get their own plan. A Tier 1 account plan should include:
- A named owner, usually a senior AE paired with a marketer
- A research brief: org structure, strategic priorities, recent news, tech stack, competing products in use
- Custom content, such as a landing page for that company, a case study from their industry, or a personalized ROI analysis
- A coordinated sequence across LinkedIn, email, direct mail, and ads over two to three months
- A tailored website experience for anyone from that company
Tier 1 is expensive per account in content and people time. The case for it rests on deal size: it only makes sense when one closed account is worth far more than the plan costs. Do the math with your own average Tier 1 contract value and a realistic win rate before committing budget.
Tier 2: One-to-Few (roughly 50-200 accounts)
Group similar accounts into clusters with shared traits, and build content for each cluster rather than each account. Example clusters: "Series B SaaS companies with 100-500 employees" or "manufacturers expanding into e-commerce". Each cluster gets its own messaging angle, case study, and website variant. For SaaS-specific segments, see website personalization for SaaS.
The economics come from reuse: an asset built once serves every account in the cluster.
Tier 3: One-to-Many (a few hundred accounts or more)
Tier 3 looks like demand gen with account targeting: programmatic ads, industry content, and automated website personalization by firmographic segment. The difference from ordinary demand gen is that you are still working a defined list, not an open audience.
At this tier the website does a lot of the work. You cannot write custom content for 500 accounts, but you can automatically change headlines, case studies, CTAs, and proof by the visitor's company attributes.
Aligning Website Personalization with ABM
The website is the one channel where the account comes to you. Ads, email, and outreach push messages out; when someone from a target account visits, you can either reinforce that messaging or show them the same page everyone else gets.
| Element | Tier 1 | Tier 2 | Tier 3 |
|---|---|---|---|
| Hero headline | Names the account's industry or a known initiative | Cluster pain point | Industry variant |
| Proof | Peers or aspirational logos they will recognize | Case study from the same industry or size band | Industry case study chosen automatically |
| CTA | Meeting with the named account owner | Cluster-specific asset or demo | Standard CTA, industry-framed |
| Content | The custom assets built for this account | Cluster content hub | Industry resources |
| Other | Alert to the account owner on high-intent visits | Positioning angle per cluster | Size and region adjustments (for example GDPR messaging for EU visitors) |
Image choices matter at Tier 3 too; our post on landing page images covers which visuals to swap. For more worked plays by tier, see our collection of account-based marketing examples.
Example (illustrative): a B2B payments company runs all three tiers. When someone from a Tier 1 retail account visits, the hero reads "Unified payment processing for multi-location retailers", with a case study from a comparable retailer below the fold and a CTA to meet the account's named AE. A Tier 3 visitor from a mid-market SaaS company sees "Subscription billing that grows with you" and a SaaS ROI calculator. Same site, different experience, built from a handful of rules.
Markettailor's account-based marketing features are built for this layer: upload the target account list with tiers, and each identified visitor from those accounts gets the tier's hero, proof, and CTA.
Measuring ABM Success
MQL counts mean little when you are targeting 50 accounts. Measure accounts instead. Our breakdown of ABM metrics by program stage covers which ones to report in which month.
Leading indicators: engagement
- Account engagement score: website visits, content consumption, ad interactions, and email engagement across everyone at the account. Demandbase, 6sense, or a well-configured CRM can track it.
- Buying committee coverage: how many of the roles you expected have you reached? Engaging the CMO but not the CFO who signs is a gap.
- Website engagement depth: which target accounts visited evaluation pages (pricing, case studies, integration docs), and how many people from each.
Lagging indicators: pipeline
- Account-to-opportunity rate: the share of target accounts, per tier, that entered pipeline. Set your own baseline from the first two quarters and compare tiers against each other.
- Pipeline velocity: whether ABM-sourced deals move faster than the rest. They should, because the buying group has already met you before the first sales call.
- Average deal size, compared with non-ABM deals of the same segment.
- Win rate. If ABM win rate is not clearly above your overall rate, targeting or execution needs work.
Skip vanity numbers. Impressions served to target accounts and email opens feel like progress but do not predict revenue. A simple monthly dashboard with three panels (engagement trend for target accounts, opportunities created, revenue closed) reviewed with sales leadership is enough.
Common ABM Mistakes
Too many Tier 1 accounts. If 100 accounts are "top tier", you have a list, not a tier. Keep Tier 1 small enough that every account has a real plan.
Marketing-only ABM. Without sales co-owning the list, the messaging, and the plan, ABM is targeted advertising.
A list that never changes. Accounts that were ideal six months ago may have new leadership, a new strategy, or no budget. Review the list every quarter.
Skipping the website. Teams spend heavily on ads and outreach to drive target accounts to the site, then show them the generic homepage. Personalize the destination as well as the journey.
Judging too early. Pipeline from a new ABM program arrives on the timescale of your sales cycle. If deals take six months to close, a six-week verdict measures nothing. Use engagement metrics until pipeline data exists.
Getting Started This Quarter: A 30-Day Plan
- Week 1: Analyze your top 20 customers by lifetime value, find the five to seven attributes they share, and use them to build a list of 50 target companies.
- Week 2: Score and tier the list: 5-10 accounts for Tier 1, 20-30 for Tier 2, the rest Tier 3. Write a one-page plan for each Tier 1 account.
- Week 3: Build the first personalized assets: two or three industry website variants for your Tier 2 clusters and firmographic rules for Tier 3. Markettailor's visitor identification shows which target accounts are already visiting, which is a useful check on the list before launch.
- Week 4: Launch Tier 1 outreach, switch on Tier 2 and Tier 3 ads, and set up the dashboard.
Perfect data and perfect tooling are not prerequisites. A target list sales agrees with, a tiered effort model, and a website that recognizes those accounts will get a first program running, and the first quarter's results will tell you what to fix.