Account-based ads on LinkedIn: targeting specific companies

Account-based marketing on LinkedIn is one of those phrases that gets used loosely. For some teams it means uploading a list of 50 dream accounts and hoping LinkedIn does something clever. For others it is an industrial process spanning sales, marketing and rev-ops, with named accounts moving through orchestrated touch sequences across paid, email and SDR outreach.

The truth, in our experience, sits closer to the second version, but most B2B tech firms do not need the full enterprise machinery to get value from account-based ads. What they need is a defensible target list, properly structured campaigns and reporting that ties paid spend back to the accounts that actually progress in the pipeline. Below is how we run account-based programmes on LinkedIn for SaaS, MSP and ERP clients.

Start with a target list that is actually qualified

The fastest way to waste an account-based budget is to hand sales a copy of LinkedIn’s “company size: 200 to 1,000, industry: financial services” filter and call it a list. Lists like that have no buying intent baked in, no relationship history, no sales judgement. The campaign runs, the ads serve, and nobody in the buying committee notices.

A target list worth running ads against has three layers. First, the firmographic fit (size, sector, geography, tech stack where you can detect it). Second, the strategic fit (sales has either spoken to them, has a relationship somewhere or has identified them as a fit through research). Third, the timing signal (recent funding, hiring patterns, leadership changes, public statements about a problem you solve, intent data from a tool like Bombora or 6sense if you run one).

For a typical mid-market B2B tech client, we end up with three to five target lists, sized between 50 and 500 accounts each. Bigger lists get watered-down attention. Smaller lists run out of impressions. The vertical you are targeting changes the targeting trade-offs, which we cover in LinkedIn ads by vertical.

Uploading and matching: the practical mechanics

LinkedIn’s matched audience tool will accept either a CSV upload of company names, domains and identifiers, or a managed account list created in Campaign Manager. The match rate matters. A poorly formatted CSV (missing domains, abbreviated names, mixed parent and subsidiary entries) often matches at 30 to 50 per cent. A well-prepared file with verified domains usually matches at 75 to 90 per cent.

We typically run lists with at least 1,000 matched companies for awareness campaigns, and accept smaller lists (down to 250) for high-intent retargeting layers. Below 250 matched companies, LinkedIn struggles to deliver and CPMs spike.

If your CRM data is patchy, the first hour of any account-based programme is data hygiene. Fixing domains and parent-company mappings in HubSpot or Salesforce will improve the campaign performance more than any creative change.

Layering job-title and seniority targeting

Targeting a company list alone is not enough. LinkedIn will happily serve your ad to an intern in the company’s accounts payable team if you do not constrain the audience further. Every account-based campaign we run combines the company list with a job-title or function filter, so only the buying committee sees the spend.

For B2B tech the buying committee usually breaks into three roles:

• Economic buyer: typically the CIO, CFO or COO depending on category
• Technical buyer: head of IT, head of infrastructure, head of platform
• User buyer: operations, finance ops or whichever team uses the product

We split campaigns by buyer role, with creative and CTAs adjusted accordingly. The CIO seeing a webinar invite about strategic risk is not the same audience as the head of infrastructure seeing a comparison guide on the product itself.

Sequencing the creative

Account-based campaigns work best as a sequence. We typically run a three-phase exposure across six to eight weeks per account, then refresh.

Phase one is recognition. A short brand message that names the buyer’s situation. The job is to make the ICP recognise that you understand their world.

Phase two is value. A document ad, video or webinar invite that delivers a useful piece of content without asking for anything. This is the engagement layer that builds remarketing pools and feeds the sales conversation.

Phase three is conversion. A direct offer, usually a peer call, a tailored briefing or a product walkthrough. The buyer who reaches phase three has been warmed by the previous two and is more likely to engage.

We cover the broader funnel logic in our LinkedIn Ads buyer-journey playbook, and the related sequencing patterns in retargeting tech buyers without burning the brand.

Aligning paid with sales outreach

The teams that get the most out of account-based LinkedIn are the ones where SDRs know which accounts are in the campaign and what creative is running. The conversion lift from coordinated outreach (paid ads, then a personalised email or InMail referencing the same content) is meaningful. Without coordination, the ads feel disconnected and the SDR’s note feels like it came from a different company.

Practical steps we usually put in place:

• Shared Slack channel between the agency, marketing and SDRs covering campaign launch, creative refresh and accounts showing engagement
• Weekly account-level reporting (not just lead-level) showing which target accounts have engaged with which creative
• A simple alert when a key buying-committee member at a target account engages, so SDRs can prioritise outreach

The technology supporting this is less important than the cadence. A well-run weekly conversation between paid and sales beats a poorly used six-figure ABM platform every time.

Measurement that survives the long cycle

Account-based campaigns are slow. Cost per lead is the wrong metric. Cost per engaged account, account penetration (how many buying-committee members at a target account have engaged) and pipeline contribution are the measures that matter.

We typically report three things to clients running account-based LinkedIn:

The third metric requires the offline conversion plumbing we cover in conversion tracking for long B2B sales cycles, and a working multi-touch view across the channel mix. Our attribution models post goes into the modelling choices, and we’ve explored pushing pipeline data back to LinkedIn so the bidding gets smarter over time.

Budget realism for mid-market firms

Account-based LinkedIn is not cheap. A meaningful programme against a 250-account target list, running awareness, consideration and decision creative across two buying-committee roles, typically needs £8,000 to £15,000 per month to maintain coherent frequency without burning out.

Spending less than that produces under-frequency, where target accounts see your creative two or three times across the campaign and never reach the recognition threshold. Spending much more without expanding the list produces over-frequency, where the same buyer sees the same ad twenty times and starts to associate your brand with annoyance rather than fit.

If you are running an account-based programme and the conversation has shifted to “why isn’t it generating leads”, the chances are the brief was wrong from the start. Account-based campaigns generate engaged accounts, which sales then converts into opportunities. Holding them to lead-gen metrics is a misalignment.

If you’re rebuilding a paid programme that’s drifted off-strategy, we’re happy to take a look. You can also see how we run account-based programmes alongside other channels on our paid media service page.