Stop buying reach and calling it targeting

The pitch arrives quarterly, sometimes monthly. A platform rep with a polished deck, a case study from a brand you have heard of, and a set of audience numbers that make the channel sound like an unmissable opportunity. The reach is enormous. The engagement rates are impressive. The targeting options are expanding. The message, delivered with confidence, is that your B2B buyers are already on this platform and you are missing them by not being there.

The platform might be Snapchat. It might be TikTok. It might be a connected TV provider, a gaming environment, or a podcast network that has decided B2B is its next growth market. The specifics change. The pitch does not. Every consumer platform eventually looks at the B2B advertising budget and decides it wants a share of it, and every pitch follows the same structure: our users include your buyers, our engagement is higher than the channels you currently use, and early movers are seeing results.

Some of this is true. B2B buyers are real people who use consumer platforms. Engagement on newer channels can be higher because the advertising load is lower. Early movers sometimes do see strong results, partly because there is less competition and partly because novelty drives attention. None of this means the channel is right for your programme, and the gap between the platform's pitch and the reality of B2B buying is where budget goes to disappear.

The audience problem

The fundamental issue with consumer platforms pitching B2B is that their audience data was not built for B2B targeting.

Consumer platforms know what people watch, what they click on, what they share, and how long they spend on a page. They can target by age, location, interest, device, and behaviur. What they cannot do, with any reliability, is target by company, role, buying authority, or purchase intent. These are the dimensions that matter in B2B, and they are precisely the dimensions that consumer platforms have never needed to build.

When a platform says "we can reach B2B decision-makers," what they usually mean is that they can target people whose behavior or demographics suggest they might work in a particular industry or hold a certain type of job. This is inference, not data. The targeting is probabilistic, not deterministic. A LinkedIn campaign targeting "VP of Marketing at companies with 500 to 5,000 employees in the financial services sector" is working with data that LinkedIn actually has, because users provide it. A consumer platform running the same targeting is guessing based on content consumption patterns, and the guess is often wrong.

The result is that B2B campaigns on consumer platforms reach a lot of people, many of whom are not buyers. The reach numbers look good. The impressions are real. The engagement might even be strong, because the content is novel in an environment where B2B advertising is rare. But the connection between that engagement and pipeline is weak, because the audience was never precisely the audience you needed.

The measurement gap

Consumer platforms measure things that matter for consumer advertising. Impressions, views, clicks, engagement rates, video completion percentages. These metrics tell you whether people saw your content and interacted with it. They do not tell you whether the right people saw it, whether those people are in a buying cycle, or whether the interaction had any influence on a purchasing decision that will not happen for another six months.

B2B marketing effectiveness depends on connecting marketing activity to pipeline and revenue. This requires tracking individuals from first interaction through to closed deal, a process that typically spans months and involves multiple touchpoints across multiple channels. Consumer platforms are not built for this kind of attribution. Their measurement stops at the click. Everything that happens after the click, the nurture, the qualification, the sales conversation, the proposal, the negotiation, lives in systems the platform cannot see.

This creates a reporting problem that is easy to overlook. The platform reports strong engagement. The marketing team reports those numbers alongside the metrics from other channels. The CMO sees a channel with high engagement and relatively low cost and asks why more budget is not going there. The answer, that engagement does not predict pipeline contribution, is difficult to deliver because it requires proving a negative. You cannot easily demonstrate that a channel with good engagement metrics is not contributing to revenue. You can only observe that the pipeline does not seem to grow when investment in that channel increases.

Why the pitch works anyway

Despite these limitations, the pitch works. It works because marketing teams are under constant pressure to find new channels, and the channels they currently use are getting more expensive and more competitive every year. LinkedIn CPMs have increased steadily. Google search costs continue to rise. The established B2B channels are crowded, and every competitor is running similar campaigns on the same platforms. A new channel with lower costs and less competition is genuinely appealing, even before the data question is answered.

The pitch also works because it comes with social proof that sounds relevant but often is not. The case study in the deck is usually a large consumer-facing brand with a B2B division, or a technology company with a product that appeals to both consumer and business audiences. These companies have a natural fit with consumer platforms that a mid-market enterprise software company does not. The case study proves that the platform can work for some B2B advertisers. It does not prove that it will work for you.

And the pitch works because marketing teams are evaluated on metrics that consumer platforms are good at producing. If the KPI is reach, awareness, or engagement, a consumer platform will deliver impressive numbers at a competitive cost. The question of whether those numbers connect to business outcomes gets deferred to next quarter, and by next quarter there is a new campaign to evaluate and the attribution question remains unanswered.

The channels that actually matter

None of this means that B2B marketing should ignore every channel that was not purpose-built for B2B. Some consumer platforms can play a role in a well-designed programme. YouTube, for example, serves a genuine research function for buyers evaluating products, and video content that demonstrates how a product works can influence decisions in ways that a sponsored post on a newer platform cannot. The distinction is between a platform where buyers actively research and a platform where buyers passively consume entertainment.

The channels that consistently deliver for B2B marketing share a common characteristic: they reach buyers at a moment when the buyer is doing something related to their work. Searching for a solution. Reading industry content. Participating in a professional community. Attending a conference. Consuming a podcast about their sector. These are moments of professional intent, and advertising that appears in these moments is more likely to be relevant, remembered, and influential than advertising that appears between entertainment content.

This does not mean every B2B campaign must run on LinkedIn and Google. It means that channel selection should be driven by where the buyer is in a professional mindset, not by where the buyer spends the most time. People spend hours on consumer platforms. That does not make those hours a B2B marketing opportunity. It makes them hours when the buyer is not thinking about work and is not receptive to a message about enterprise software.

The conversation to have

When a platform rep arrives with a B2B pitch, the conversation should start with three questions.

How do you identify our specific buyers? Not people who might be in our target market. The actual job roles, company types, and buying stages we need to reach. If the answer involves inference or lookalike modeling rather than deterministic data, the targeting will be imprecise and the waste will be high.

How do we connect activity on your platform to our pipeline? Not your engagement metrics. Our CRM, our attribution model, our sales process. If the answer is that the platform provides its own reporting and the rest is up to you, the measurement gap will make it impossible to evaluate whether the spend is working.

What does success look like at month six, not month one? The first month of any new channel produces artificially strong results because of novelty and low competition. The real test is whether performance holds once the audience has been exposed to the messaging several times and the competitive set catches up. If the answer relies entirely on early-mover advantage, the advantage is temporary and the long-term economics are uncertain.

Most platform pitches do not survive these three questions. The ones that do might be worth testing. The ones that do not are selling reach, and reach without relevance is just a number on a dashboard that nobody can connect to revenue.