LinkedIn Ads are expensive. CPCs of £8–£15 are normal. CPMs of £20–£40 are common. Most founders who try them spend £500, get 40 clicks and two leads who don't convert, then conclude the platform doesn't work for their business. The platform isn't the problem.
← Back to InsightsFounders who run Google Ads successfully often apply the same logic to LinkedIn. The reasoning makes sense on the surface: you've found an ad platform, you've set a budget, you point it at your audience and wait for enquiries. But the two platforms operate on completely different principles, and confusing them is where most LinkedIn spend goes wrong.
Google Ads capture intent. Someone searches for what you do and sees your ad. They already have the problem and are actively looking for the solution. Your ad intercepts that search at the moment of highest intent. LinkedIn Ads create awareness. You reach someone who fits your ICP before they've started searching, before they've articulated the need, before they're comparing options, before they're ready to talk. These are completely different jobs.
The implication is that they require different creative approaches, different conversion expectations and different timeframes. Running LinkedIn Ads for four weeks and measuring them on cost per enquiry is the wrong experiment. In month one, the question is whether you're reaching the right people and whether your message is resonating with them. The enquiries come in month three, after enough of the right people have seen you often enough to recognise you when they're finally ready to act.
LinkedIn's targeting precision is its core value. You can reach Marketing Directors at SaaS companies with 50–200 employees in London who have been in their role for less than two years. No other platform gets that close. But ultra-precise targeting comes with a structural problem that catches most founders out.
That highly specific audience might contain 3,000–8,000 people. At a typical CPM of £25–£35, a daily budget of £30 will exhaust reach across the entire audience in under two weeks. After that, frequency climbs, the same people see the same ads repeatedly, engagement drops, and the algorithm responds by increasing your CPM to maintain delivery. You're now paying more per impression for people who are increasingly tuned out.
The fix is either to broaden one targeting dimension (company size range, seniority level, geography) to create an audience large enough to sustain reach at your budget, or to increase budget to maintain a healthy frequency across a small audience. A useful rule of thumb: your audience should be large enough that your monthly budget reaches each person no more than three to five times.
There is a category of LinkedIn content that gets good engagement: company news, thought leadership, case study stories, founder perspectives. These work as organic posts. They build familiarity. They position you. But they perform poorly as paid lead generation because they are not structured around a specific offer, a specific outcome or a specific call to action. They are awareness content being asked to do conversion work.
Lead generation campaigns need a specific offer. "We help B2B companies grow" is not an offer. It names nothing, promises nothing and speaks to everyone, which means it speaks to no one. "How [Sector] companies are cutting their cost per lead by 30% with one campaign change" is an offer. It names the outcome, implies a mechanism and speaks directly to someone for whom cost per lead is a live concern.
The creative brief for a LinkedIn lead gen campaign is: who exactly is this person, what problem are they living with right now, and what specific outcome does this ad promise them? Every element of the ad (headline, image, body copy, CTA) should answer one of those three questions. Anything that doesn't earn its place is noise.
LinkedIn's Insight Tag is one of the most powerful B2B retargeting tools available. It enables you to retarget everyone who visited your website, build matched audiences from your CRM, create lookalike audiences modelled on your existing clients, and understand the professional profile of your site visitors. Most businesses that run LinkedIn Ads have never set it up correctly.
The consequence is that they are running cold audience campaigns only, the most expensive and least efficient part of the funnel, while leaving the warm retargeting layer completely unused. Someone who visited your pricing page last week and fits your ICP perfectly is an infinitely better target than a cold audience member who has never encountered your brand. LinkedIn lets you reach that person. Most businesses never configure the Insight Tag well enough to do it.
Set up the Insight Tag before your first campaign goes live. Build retargeting audiences from day one. They need time to accumulate meaningful volume. Your cold audience campaigns and your retargeting campaigns serve different purposes at different stages of the funnel. Running both from the start means your later campaigns benefit from the warm audiences you've been building since the beginning.
LinkedIn's ad algorithm requires data to optimise. A campaign running with a conversion objective needs approximately 50 conversions in a 30-day window to exit the learning phase and start improving performance. For most B2B businesses, where a conversion is an enquiry or a form completion rather than a purchase, this volume takes time to build.
With a £20/day budget and a low conversion rate, you might generate five to ten conversions per month in the early stages. At that rate, the algorithm is still in learning phase after 30 days. It has not yet had enough data to understand who, within your target audience, is most likely to convert. Turning off the campaign at week three because the CPL looks too high is stopping the experiment before it's produced meaningful results.
The correct approach is to commit to a minimum 90-day testing window before making campaign-level decisions. Accept higher CPLs in months one and two. These are the cost of data collection. Evaluate performance across the full quarter. Make targeting and creative changes based on what the data shows, not on instinct formed from insufficient information. Patience at this stage is not passive. It is the active decision to let the algorithm do what it needs to do.
LinkedIn Ads work best as one layer in a coordinated multi-channel strategy, not as a standalone channel running in isolation. The reason is straightforward: B2B purchase decisions involve multiple touchpoints, often over weeks or months. A single ad seen once on a single platform rarely moves a qualified prospect to enquiry.
The compounding effect of coordinated channel presence is where real performance improvement comes from. Someone who sees your LinkedIn ad, then gets retargeted on Google Display, then finds your SEO content when they search for a solution, then sees another LinkedIn ad three weeks later, is significantly more likely to enquire than someone who only ever encountered you on LinkedIn. Each channel reinforces the others. Brand recognition builds. Trust accumulates. The enquiry becomes more likely with each touchpoint.
Running LinkedIn in isolation, at a small budget, with a short timeframe, produces results that appear to confirm the platform doesn't work. Running it as one coordinated layer alongside Google Ads, SEO and organic content, with consistent messaging, a clear offer and enough runway to accumulate data, produces a completely different outcome. The platform has not changed. The strategy around it has.
LinkedIn Ads at Mode are part of Scale Sprint, run alongside Google, Meta and organic channels for a coordinated effect.
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