Meta Ads for B2B: reaching business owners through Facebook and Instagram

It is 9:40 pm on a Tuesday. The owner of a thirty-employee company has put the kids to bed, sat down on the couch, and is scrolling Instagram before falling asleep. He is not checking his LinkedIn feed at this hour, he closed it when he left the office. But his phone is still on. This is exactly the moment a well-built Meta ad can reach him, while most B2B agencies have already parked their budget on LinkedIn Ads and never even consider it.

The assumption: "Facebook is for consumers"

The objection comes up in almost every first conversation with a company that sells to other businesses. Facebook and Instagram would be good for selling clothes or sunrooms, not for reaching a decision-maker buying industrial equipment, business software, or a €20,000 consulting engagement.

This assumption confuses the content people associate with a platform with the people who actually use it. A business owner does not have two brains, a professional one that only checks LinkedIn and a personal one reserved for Facebook. It is the same person, on the same phone, who scrolls Instagram at night in pajamas and signs a purchase order the next morning. Meta's own usage data shows millions of business owners, tradespeople, self-employed professionals, and purchasing managers active daily on its platforms, often for longer stretches than on LinkedIn.

What the assumption really confuses is the network and the moment. LinkedIn captures attention during office hours, in a professional posture where the user filters more. Meta captures attention outside that frame, in a more relaxed posture where the user is less guarded. Both moments exist for the same business owner, and both can carry a professional message, as long as it is adapted to the context.

Why it works: executives scroll in the evening, not just at their desk

A B2B decision-maker keeps the same digital behavior as any consumer outside working hours. They check their phone in the evening, on weekends, during commutes. These are exactly the windows where ad competition on LinkedIn is nearly nonexistent, while it stays constant on Meta.

This difference in timing has a direct effect on price. LinkedIn Ads charges a premium for precise professional targeting, which pushes cost per click and cost per lead well above Meta's, often by a factor of three to ten depending on the industry. Meta, in exchange for much fuzzier professional targeting, offers a considerably larger volume of impressions for an equivalent budget. The economics are not just about cost per click, but about how many actual business owners you reach for the same budget, once you manage to filter the right profiles out of that broad audience. For typical lead costs by sector, the 2026 cost per lead benchmarks give a baseline.

There is also a scarcity effect. Many B2B companies do not even consider Meta, either out of habit or because they lack a method to filter the audience. As a result, auctions there are often less contested on professional audiences than on LinkedIn, where every B2B company ends up targeting the same job titles.

The real obstacle: Meta can no longer target a job title or company size

It is worth being honest about the technical limit before selling the method. Meta removed a large part of its detailed targeting since 2022, including the options that used to approximate professional targeting (job function, industry, company size). We cover this evolution in Meta targeting: what disappeared, and why. Almost nothing reliable remains beyond geography, age, and language, and that is just as true in B2B as in B2C.

Concretely, you can no longer tell Meta: "show this ad to business owners with more than ten employees in the construction industry." That option is either gone or too broad to be useful. This is the point most generalist agencies miss: they keep trying to rebuild a precise targeting logic in an interface that no longer supports it, then conclude that "Meta does not work for B2B."

The method that works: broad targeting, a message that filters

Since the platform can no longer do the filtering for you, the filtering has to happen elsewhere, in two specific places.

Deliberately broad targeting. Rather than looking for a professional segment that no longer exists, you start with a broad audience defined by geography and, when relevant, age (a decision-maker is rarely under thirty). This breadth is not a weakness, it is what gives Meta's delivery algorithm enough volume to optimize toward people who actually engage with this type of message.

A message that filters itself. This is where the real work happens. An ad written in generic terms reaches broadly and converts poorly. An ad that names a specific professional situation, a revenue range, a headcount, a cash-flow or hiring problem tied to a particular type of company, will only be clicked by the people it concerns. The copy and the visual become the actual targeting. An employee scrolling with no purchasing authority skips past the ad; a business owner facing exactly that problem stops.

This logic of a self-filtering message is the same one that lets a local business keep targeting effectively despite the disappearance of detailed targeting, described in our article on what remains truly targetable today.

The form that qualifies: sector and size before the call

Broad targeting brings in volume, including profiles outside your target. It is the lead form, not the ad itself, that should finish the qualification work. Two to three questions are enough, asked directly in Meta's Instant Form or on a landing page:

• Industry, as an open text field rather than a checklist. A checklist exposes your niches and pushes the prospect to force themselves into a box that does not really fit; an open answer shows the real sector, described in their own words.
• Company size, in simple brackets (headcount or approximate revenue). This is often the most discriminating criterion in B2B: a fifty-employee SME and a solo freelancer answering the same ad have neither the same budget nor the same decision cycle.
• The person's role in the decision, when the product or service justifies it. For a purchase with multiple approvers, knowing whether you are talking to the final decision-maker or a staff member building a case internally changes the entire sales process that follows.

This after-the-fact filtering costs you a few unqualified requests in raw volume, but it saves most of the time otherwise wasted on the phone with off-target profiles. It is the same principle we detail for instant form settings, applied here to a B2B context rather than B2C. The full list of those settings is in the instant form settings that filter your leads.

Meta Ads versus LinkedIn Ads: an honest comparison

Neither platform is universally better, and claiming otherwise is agency marketing rather than actual advice.

LinkedIn Ads keeps a real edge on precise, self-declared professional targeting: job title, industry, company size, seniority. When your product targets a very specific function (procurement director at companies with more than 200 employees in manufacturing, for example), this native targeting is hard to match elsewhere. The trade-off is a significantly higher cost per lead, and a professional audience that has learned to ignore sponsored posts in its feed.

Meta Ads wins on volume available for a given budget and on the moment of contact, outside working hours when B2B ad competition is lower. The price to pay is the absence of fine professional targeting: everything relies on the quality of the message and the form to make up for what the platform no longer filters.

In practice, these two logics complement each other more than they compete. For a high-ticket service business whose typical buyer is identifiable by function and works inside larger organizations, LinkedIn often remains the fastest entry point despite its cost. For a business selling to owners of small and medium companies, where the decision-maker's function is simply "owner" (and therefore not a very discriminating criterion), Meta becomes a serious option, provided you accept that filtering happens through the message and the form rather than the ad platform's interface.

What this actually changes for your campaign

Before launching a B2B campaign on Meta, three decisions matter more than the choice of visuals:

1. Accept a broad audience rather than chasing professional targeting that no longer exists.
2. Write a message that names a specific situation (size, industry, problem) so the ad filters itself.
3. Build a form that captures industry and company size in plain text, to filter before the call rather than after.

Structuring a campaign in this order, rather than starting with the visuals, is the broader subject of our article on how to structure a Meta Ads lead generation campaign.

At Solvya, this is the method we apply when a client sells to other businesses rather than to individuals: deliberately broad targeting, a message that speaks to a specific professional situation, and a form that surfaces industry and company size before the phone even rings.