A Complete Guide to ABM

What Is ABM?

Account-based marketing (ABM) is a B2B strategy that treats a set of high-value accounts as individual markets. Instead of targeting a broad audience, marketing and sales agree on specific accounts up front. They then coordinate messaging and outreach around each one, or each cluster of similar accounts.

ABM typically runs at one of three levels, from broadest to most targeted:

Account-based demand looks like a traditional demand-generation program. The difference is it’s run only against a defined list of target and customer accounts, rather than the open market.

One-to-few groups similar accounts by vertical or line of business. It runs one shared campaign tailored to that cluster.

One-to-one builds a fully bespoke program around a single named account. It’s where ABM as a concept originated, and it delivers the deepest personalisation. It’s also the slowest and most expensive tier to prove out.

We spoke to Andy Johnson, who runs HUT 3, a B2B marketing agency that’s worked with clients including UiPath, Immuta, Fujitsu and Atos. He notes that one-to-one programs often take around 18 months to show return. That’s because they’re typically built around large accounts, where growing share of wallet simply takes time.

How to Implement Account-Based Marketing

Start With One-to-Few

Which tier to start with matters more than most teams realise. Andy Johnson of HUT 3 advises against jumping straight to one-to-one: “I would look at a one-to-few program. Pick a vertical or a specific line of business, pick a cluster of accounts, and you will find that will generate a good number of identified and qualified accounts where you can align sales teams much more effectively – in terms of being able to see that ROI quite rapidly.” He also points to a simple segmentation shortcut. In most B2B businesses, roughly 80% of revenue comes from around 20% of the customer base. That’s a useful starting point for choosing which accounts to cluster first.

The Core Steps

• Set Clear Objectives: Define your ABM goals, and connect them to the tier you’re running – pipeline from a cluster for one-to-few, revenue growth within one named account for one-to-one.
• Identify High-Value Accounts: Work with your sales team to find accounts with the highest potential for revenue. Look for firmographic fit – industry, size, existing tech stack – plus signs of active research, such as repeat visits to pricing or product pages.
• Segment and Prioritise Accounts: Divide your target accounts into segments based on their characteristics and potential value. Andy’s 80/20 shortcut is a good starting point here: cluster around the roughly 20% of accounts likely to drive most of your revenue, rather than spreading effort evenly.
• Research and Understand the Accounts: Build a real picture of each target account’s pain points, challenges, and goals. Pull this from account plans, recent news, and LinkedIn activity – and, if they’ve already visited your site, which pages they spent time on.
• Align Marketing and Sales Teams: Successful ABM requires close collaboration between marketing and sales teams. Agree a shared definition of a “qualified” account, and a service-level agreement for how fast sales follows up once marketing flags one as engaged.
• Customise Your Approach: Tailor your marketing efforts to each account segment. That might mean swapping a generic case study for one from the same industry, or referencing a competitor they’re known to use.
• Select Appropriate Channels: Choose the right mix of marketing channels to reach your target accounts – usually some combination of LinkedIn, targeted display advertising and direct outreach, covered in the stack breakdown below.
• Measure and Analyse Results: Continuously monitor the performance of your ABM campaigns. Watch especially for accounts engaging across more than one channel at once – a stronger buying signal than any single touchpoint.

Why Is Account-Based Marketing Important?

The shift toward ABM isn’t just a trend. It reflects real changes in how B2B buyers behave. Gartner research puts the average B2B buying group at 11 to 20 stakeholders for larger deals, up from just five a decade ago. A large share of that buying journey now happens before anyone talks to sales. 

Research from the Ehrenberg-Bass Institute goes further: at any moment, only around 5% of B2B buyers are in-market to buy. ABM’s job is making sure you’re focused on that small, real window of accounts. That beats spreading effort evenly across everyone who might one day be ready.

• Increased Personalisation: ABM allows you to create hyper-personalised experiences for your target accounts. A one-to-one program might reference a prospect’s own stated goals directly in a sales deck. A one-to-few program might simply tailor messaging to a pain point shared across a vertical.
• Better ROI: Focusing effort on high-value accounts improves the efficiency of your marketing spend. Budget goes toward accounts already showing real buying signals, rather than being split evenly across a list where most names were never going to convert this quarter.
• Sales and Marketing Alignment: ABM encourages close collaboration between sales and marketing. In practice, that means both teams working from the same target account list and the same definition of a qualified account – not separate spreadsheets.
• Shorter Sales Cycles: A personalised approach and targeted messaging help accelerate the sales cycle. Reps spend their time on accounts already showing intent, rather than qualifying cold leads from scratch, so deals move faster.

Building an ABM Tech Stack That Competes With All-In-One Platforms

Specialist, all-in-one ABM software exists, and for some teams it’s the right call. But it’s also expensive. Plenty of B2B marketing teams get real results instead from a smaller set of tools, each doing one part of the job well. We asked Andy, on our Turning Up the ABM Dial webinar, to walk through how his team actually builds these programs.

HUT 3’s work has also won recognition at the Global Agency Awards and the B2B Marketing Awards. Here’s his take:

“There are other tech stacks that do this holistically, and they’re all very good, but they’re not right for everybody. For us, this is almost our default tech stack that we would always advise when people don’t have a tech stack. Before Lead Forensics, unless an organisation had a very expensive tech stack in place, this was something we really arm-wrestled with. That’s the reason it’s been a bit of a game changer for us, in the way we deliver that tech stack.”

What’s In the Stack

The stack he described runs like this:

• LinkedIn for targeted social advertising straight to the job titles and functions inside your target accounts. Done well, Andy notes cost-per-engagement can come down “to pence.”
• A programmatic platform (HUT 3 uses Astrad) to load the target account list and run display advertising only against those accounts. It also reads which accounts are showing in-market intent.
• Lead Forensics – which HUT 3 uses for its own marketing, not just something it recommends to clients – to see which of those accounts are landing on the website, and what they’re engaging with there. That closes the loop between ad exposure and real on-site behaviour. It also covers the contact-level detail needed to hand accounts to sales, without a separate data-enrichment tool bolted on.
• A personalisation layer (Folloze or Turtl are two Andy mentioned) for one-to-few and one-to-one programs. It rewrites content around what a specific account or cluster actually cares about, rather than just swapping in a logo and a first name.
• Your existing CRM, whichever one your team already runs.
• A BI/dashboard layer, such as Google Data Studio, to pull the fragmented data – LinkedIn, programmatic, on-site activity, email – into one place. That way the story you tell sales and leadership isn’t split across five different login screens.

How the Pieces Work Together

Put together, the pieces run in a specific sequence. Sponsored LinkedIn content and Astrad’s programmatic display ads both drive an account toward the website. Lead Forensics identifies that account on the landing page and feeds it into a central account record. Sales then follows up through LinkedIn, email or phone, informed by what that account has actually looked at, rather than a cold list.

HUT 3 has a name for what you’re watching for in that data. A “hot account” is one showing up across several channels at once – ad exposure, LinkedIn engagement, a tracked website visit, an opened email – rather than just one. That overlap is the signal worth acting on, not any single touchpoint on its own.

The broader structure Andy described layers three things on top of each other. An always-on programmatic layer runs to every target account in the list, cheaply, as a baseline. On top of that, accounts get grouped into one-to-few clusters by vertical. Andy’s example used food & beverage, automotive and pharma. From within those clusters, accounts that prove themselves through real engagement get promoted into focused 1:1 tracks. These split into “1:1 Strategic” for existing customers you’re trying to grow, and “1:1 Accelerate” for prospective accounts you’re trying to fast-track to close. The expensive, highly personalised work only goes to accounts that have already shown they’re worth it. That’s the actual mechanism behind doing more with less.

Does This Kind of Stack Actually Deliver Results?

HUT 3 shared a few of its own program results which used the above tech stack as illustration:

A one-to-one program for Immuta, run on a relatively low budget, generated roughly 800K in pipeline and annual recurring revenue combined – a strong return given the scale of investment.

A 12-month account-based demand program for Atos, run globally into the healthcare sector, produced around 255 million in pipeline. Roughly 49 million of that closed within the same 12 months.

A series of one-to-one programs for UiPath drove an average 137% increase in annual recurring revenue. That was across roughly 34 accounts on the program.

How to Measure Account-Based Marketing

Watch for “Hot Accounts”

One habit worth borrowing from Andy’s approach: watch for accounts that show up across more than one channel at once. That might mean an ad impression, a LinkedIn engagement, a tracked website visit, and an opened email, all together. HUT 3 calls that overlap a “hot account,” and it’s a stronger signal than any single touchpoint on its own. Pulling that fragmented data into one dashboard, instead of five different login screens, makes it much easier to spot.

Key Metrics to Track

• Account Engagement: Monitor engagement from your target accounts across channels – email open rates, click-through rates, website visits, and social media interactions.
• Opportunity and Conversion Rates: Track opportunities generated and conversion rate from target accounts to customers. Compare this against your non-ABM pipeline to see whether targeted accounts convert at a higher rate, not just get more attention.
• Pipeline Influence: Measure how ABM contributes to your sales pipeline – for example, how many target accounts move from “identified” to “engaged” to “opportunity” each month.
• Revenue Impact: Calculate the revenue generated from target accounts, and its impact on your overall revenue. Break it out separately from untargeted, inbound-only accounts to see the real lift ABM is adding.
• Customer Retention and Expansion: Evaluate how ABM contributes to customer retention and upsell opportunities within existing accounts. This is where the “1:1 Strategic” tier earns its keep – aimed at growing existing accounts, not winning new ones.

Want to go beyond the basics? Discover how to supercharge your ABM success rate with revenue-centric metrics and expert tips on scaling what works.

FAQs

How is ABM different from demand generation?

Traditional demand generation casts a wide net, running campaigns aimed at generating leads from anyone who might be a fit. ABM flips that: marketing and sales agree on a specific list of target accounts first. Everything else – content, ads, outreach – gets built around that list. The “account-based demand” tier sits closest to traditional demand gen – it uses many of the same channels and tactics. The difference is it’s run only against a defined account list, not the open market.

How long does it take to see results from ABM?

It depends heavily on which tier you’re running. A one-to-few program, built around a cluster of similar accounts, tends to show return relatively quickly. That’s why Andy Johnson of HUT 3 recommends it as the easier starting point. A one-to-one program, built around a single named account, is slower. Andy notes it often takes around 18 months to show return. That’s because it usually targets large accounts, where growing share of wallet takes time.

Do you need a big budget to run ABM?

Not necessarily. Specialist, all-in-one ABM platforms can be expensive, which puts them out of reach for some teams. But a smaller set of tools, each doing one part of the job, can deliver a similar result for less. The tech stack HUT 3 uses with clients – covered in detail above – is built this way. It combines LinkedIn, programmatic advertising, Lead Forensics and a personalisation tool, rather than one all-in-one platform.

The Bottom Line

Account-based marketing is a powerful strategy for B2B marketers. Aligning marketing and sales, customising outreach, and measuring key metrics lets you focus on high-value accounts and build meaningful relationships. The result is real revenue growth. Embrace ABM as an essential part of your B2B strategy, and unlock its potential to grow your business.

Lead Forensics is a cutting-edge B2B lead generation and analytics tool that can significantly enhance your account-based marketing strategy. Lead Forensics provides detailed insights into the anonymous website visitors from your target accounts. That uncovers valuable data about how those accounts actually behave. That, in turn, lets you personalise your outreach and engage the right people within each account. The result is higher conversions and more revenue from your ABM campaigns.

Get a demo of Lead Forensics here.