LinkedIn Ads for B2B tech: a buyer-journey playbook

LinkedIn Ads is the most expensive paid channel most B2B tech firms run, and it is also the one that produces the strongest pipeline when it is set up properly. The problem is that almost every account we audit treats LinkedIn as a single-stage lead-gen tool. One campaign, one offer, one cost-per-lead target, and a confused finance director asking why the channel costs so much.

The accounts that work treat LinkedIn as a sequence. Different audiences see different creative depending on where they are in the buyer journey, and the budget is split deliberately rather than poured into the bottom of the funnel. This is the structure we typically use when rebuilding a LinkedIn programme for a SaaS, MSP or enterprise software firm.

Stage one: awareness against a defined ICP

The first job of LinkedIn is not to capture leads. It is to put your brand in front of the people who will eventually become buyers, often six to eighteen months before they are ready to talk. We typically run awareness campaigns against a tightly defined ideal customer profile (ICP) using job title, function, seniority and company size filters, layered with industry where relevant. We’ve split out the vertical-specific picture in LinkedIn ads by vertical.

Creative at this stage is not a webinar invite or a demo request. It is a short video or single-image ad that names a problem the buyer recognises and signals that you understand their world. CTR matters less than view-through rate, dwell time and whether the audience eventually engages with later-stage content. We measure this stage in qualified reach inside the ICP, not in form fills.

Budget split: we typically allocate 30 to 40 per cent of the LinkedIn line to awareness, depending on how known the brand already is.

Stage two: consideration through value content

Once an account has seen your awareness creative more than once, you can start showing them content that makes the case for your category and approach. This is where document ads, thought leadership ads and longer-form video work hardest. The objective shifts from impressions to engagement: clicks, document opens, video completions and follow-on visits to the website.

We tend to lean on document ads at this stage because they hold attention inside the feed without forcing a click, and the engagement data feeds straight back into custom audiences for retargeting. We’ve put the document ads playbook on its own page in LinkedIn document ads. Webinar invites also belong here, particularly when the topic is genuinely useful rather than a thinly disguised product pitch. Our piece on retargeting tech buyers without burning the brand covers how we sequence the follow-up. The choice between conversation and lead-gen formats at decision stage is something we explore in LinkedIn conversation vs lead-gen ads.

Budget split: 30 to 40 per cent.

Stage three: decision and lead capture

This is the campaign type most accounts default to: lead-gen forms, demo requests, free trials and case study downloads. It works, but only when the audience has already moved through stages one and two. Cold lead-gen ads to an ICP that has never heard of you produce expensive form fills from junior researchers, not buying-committee members.

We usually run decision-stage campaigns to two audiences: account-based lists of target companies (covered in our account-based ads on LinkedIn playbook) and engaged audiences from stages one and two. The creative is direct: case studies featuring named clients, ROI calculators, comparison content and demo offers. Conversion tracking has to be solid here, and given the long cycles involved, we usually push offline conversion data back into LinkedIn from HubSpot or Salesforce. Our conversion tracking guide for long B2B sales cycles walks through that integration.

Budget split: 25 to 35 per cent.

Audience structure that does not collapse on itself

A common mistake we see is overlapping audiences across campaigns. If the same person sits in your awareness audience, your consideration audience and your decision audience, the auction punishes you and the data becomes unreadable. We structure audiences as exclusion stacks:

• Awareness audience: cold ICP, excluding everyone who has engaged in the last 90 days
• Consideration audience: people who engaged with awareness creative or visited specific content pages
• Decision audience: people who visited pricing, demo or contact pages, or who match a target account list

That way frequency is controlled, attribution is cleaner and the same buyer sees a coherent sequence rather than three competing pitches.

Creative that survives the LinkedIn feed

LinkedIn is a noisy environment. The creative that performs has three traits in common.

First, it is specific. Generic stock photography with a vague headline (“Transform your IT estate”) gets scrolled past. A screenshot of an actual dashboard, a named industry, a real metric or a recognisable client name stops the thumb.

Second, it works without sound. We assume nobody hears the audio. Subtitles are baked in, and the first frame has to make sense on its own.

Third, the body copy gives the buyer a reason to click in the first two lines. LinkedIn truncates the rest, and most users never expand. The hook does the work.

We have found that running three to five creative variants per campaign, refreshed every four to six weeks, keeps frequency manageable and prevents the inevitable creative fatigue that LinkedIn audiences develop quickly.

Budgets, benchmarks and patience

LinkedIn rewards consistency. Stop-start budgets confuse the algorithm and prevent the audience from building the brand familiarity that makes later-stage campaigns convert. We typically advise a minimum monthly commitment of around £8,000 to £12,000 for a meaningful B2B tech programme, split across the three stages above.

Benchmarks vary, but as a rough guide for UK B2B tech:

The decision-stage CPL looks high next to other channels, but the right comparison is cost per opportunity (not cost per lead). LinkedIn audiences typically convert to opportunity at three to five times the rate of broad-match Google traffic, so the maths usually works. We expand on this in demand-gen vs lead-gen budgeting.

What we measure, and what we ignore

Click-through rate is a creative-fatigue signal, not a performance signal on LinkedIn. Cost per click is mostly a function of audience competition. The metrics that actually predict pipeline are:

• Reach inside the ICP, not total reach
• Engaged accounts (companies, not people, given LinkedIn’s sequential exposure)
• Multi-touch contribution to opportunities, sourced from your CRM
• Sales-accepted lead rate from LinkedIn-sourced contacts

These need a working attribution setup, which is why we usually pair LinkedIn rebuilds with a hard look at attribution models for tech companies with multi-touch journeys.

If you are running LinkedIn and the cost-per-lead conversation has overtaken the pipeline conversation, the structure above is usually a more useful place to start than a new agency or a new tool. You can also see how we run LinkedIn programmes alongside other channels on our paid media service page. If you’d like a second opinion on attribution or budget split, drop us a line.