Top of Funnel (TOFU)

TOFU works by casting a wide net around a problem rather than a product. Search pages, social posts, podcasts and broad-audience ads reach people who feel a symptom but have no vocabulary for the cure. The content names the symptom, explains why it happens, and leaves the reader slightly better informed than before. Nothing is gated hard at this stage, because the exchange is attention for insight. Traffic arrives anonymous, so the only assets created are reach and a retargeting audience, until some offer converts a visit into a named contact.

Two dials move TOFU volume: how broad the targeting is, and how low the friction to engage. Widening keywords or lookalike audiences raises impressions but dilutes fit, so cost per eventual customer climbs even while cost per click falls. Narrowing to problem-aware phrases shrinks reach but attracts people who already accept the premise. The creative angle matters as much as the targeting, because a hook that names a job title or a specific workflow filters the audience before the click rather than after it.

In practice, TOFU output is counted in named contacts, not sessions. Teams pair every awareness asset with one low-commitment offer: a checklist, a benchmark, a short assessment. A Pivix scorecard fits at this point because answering questions feels like receiving advice rather than filling in a form, and the answers themselves carry fit data. The article sets up the question, the quiz returns a personal result, and the contact enters the database already tagged with a segment, a tier and the pain that brought them.

TOFU stops being useful the moment it is judged only by its own metrics. Sessions, impressions and follower counts can all climb while pipeline stays flat, because the added audience holds no budget and no authority. Short sales cycles and expansion revenue inside existing accounts barely need an awareness layer at all. In a small addressable market, broad spending exhausts the qualified population quickly, and after that every extra euro buys traffic that was never going to buy anything.

Start with the ratio of new known contacts to total awareness sessions, then split it by source. A source that sends plenty of traffic but few contacts is either mismatched to the offer or attracting the wrong role entirely. Pair that ratio with the share of new contacts that later reach a qualified tier, which turns raw capture volume into a fit signal you can act on.

For paid awareness, divide media spend by the number of contacts that later qualified, not by raw form fills. Track that figure per campaign and per creative angle so you can see which hook attracts buyers rather than browsers. Because the qualification signal lags, fix a measurement window, thirty days after first touch for example, and compare whole cohorts instead of reading week-to-week movement.

The most expensive TOFU mistake is optimising an awareness campaign against its own conversion metric. A team loosens targeting, watches cost per lead fall, hits the number on the dashboard, and hands sales a queue that never books a meeting. Tie the awareness budget to a downstream signal instead: contacts that reach a qualification tier, or opportunities created, even when that signal arrives weeks late and makes the weekly report look worse.

The second failure is publishing awareness content with no capture path. An article ranks, gets read, and offers nothing beyond a newsletter box in the footer, so the traffic is rented rather than owned. Every TOFU asset should carry exactly one contextual offer that matches what the piece is about. A post about hiring deserves a hiring readiness assessment, not the generic ebook that was written for a completely different audience.