Meta vs LinkedIn ads for B2B software: which is worth the money?

What are you actually paying for on each platform?

On LinkedIn you are paying for certainty about who somebody is. On Meta you are paying for attention, and you have to work out who they are yourself.

LinkedIn's data is self-reported employment: job title, company, company size, industry, seniority. People keep it current because their career depends on it, which makes it the most reliable professional targeting available anywhere. You can genuinely ask to reach heads of engineering at software companies of a certain size, and get them.

Meta has no comparable data and does not try. It infers from behaviour, and its strength is that the inference improves as you feed it conversions. It does not know somebody is a head of engineering; it knows the pattern of people who responded to your last campaign and finds more of them.

So the question is not which targeting is better. It is whether paying several times more per click for certainty is worth it for your particular buyer.

LinkedIn knows who someone is. Meta knows what someone does. Neither is better in the abstract, and they cost very different amounts.

When is LinkedIn's premium actually worth paying?

When the audience is genuinely small, and when a single customer is worth enough that an expensive click still makes sense.

The arithmetic is what decides this, not preference. If your total addressable audience is a few thousand people at named companies, wasting impressions on everyone else is the dominant cost, and paying more per click to avoid that waste is straightforwardly correct. If your buyer could plausibly be a large fraction of working adults, you are paying a premium to exclude people Meta would have excluded for free once it learned from your conversions.

Deal value is the second term. A high click cost is survivable when a closed customer is worth a great deal and unsurvivable when it is not.

Run both numbers before choosing. This is one of the few channel questions that genuinely resolves to arithmetic rather than judgement.

When does Meta beat it outright?

When your buyer is defined by a behaviour or a situation rather than a job title, which is more often than the org chart suggests.

Plenty of software is bought by people whose title does not predict whether they need it. A founder, an operations lead and a finance manager might all buy the same tool for the same reason, and no title filter captures that set. Meta will find them through response, because response is the only signal that actually correlates with need here.

Cost is the second reason and it compounds with the first. Cheaper impressions mean more creative tested per pound, and creative is where the learning is. A company running four times the creative volume for the same money will usually beat one with better targeting and less to say.

Meta also reaches people outside work hours and outside work mode, which for a considered purchase is not the disadvantage it sounds like.

Does the audience quality difference survive contact with reality?

Partly. LinkedIn's leads are usually more accurately titled, and that is not the same as more likely to buy.

A correctly titled person who filled in a form because the offer was easy is still a bad lead. LinkedIn's own instant forms have the same problem Meta's do, and arguably worse, because the prefilled professional data makes the form even faster to submit and the title on the lead reassures you about someone who never intended to talk to you.

So the honest comparison is not lead quality as reported by the platform. It is cost per conversation your sales team judged worth having, which requires the same qualification discipline on both.

Companies that measure this properly often find the gap much smaller than the price difference implies. Some find it reversed.

A correctly titled lead who was not really interested is still a bad lead. The title reassures you about someone who never intended to talk.

How should you run them together?

Sequentially rather than simultaneously, unless the budget is large enough that both clear their own learning thresholds.

Splitting a modest budget across two platforms is the most common way to get two unreadable results. Each needs enough conversions to optimise, and half a budget on each usually means neither gets there. Pick one, get it working, then add the second from a position where you already know what message lands.

If you do run both, give them different jobs rather than the same job twice. LinkedIn is the better instrument for reaching a named account list; Meta is the better instrument for finding people you could not have named. Running both against the same broad audience is paying twice for one answer.

Measure them on the same definition of a qualified lead, or the comparison tells you nothing.

How do you decide in an afternoon?

Estimate two numbers and the answer usually falls out without a test.

First, how many people could plausibly buy this? If the honest figure is in the low thousands, LinkedIn's precision is worth paying for. If it is in the hundreds of thousands or you genuinely cannot tell, Meta will find them more cheaply than you can specify them.

Second, what is a customer worth? Put that against a realistic cost per qualified conversation on each platform. If LinkedIn's cost per conversation is several times Meta's, as it usually is, does the deal value still absorb it comfortably?

If both answers point the same way, start there and do not split. If they conflict, start with Meta, because the cheaper platform is the cheaper place to discover that your message is wrong.