What this covers
- Leading, lagging, and vanity
- The five worth tracking
- The metric nobody can calculate
- Reviewing them without drowning
Leading, lagging, and vanity
Revenue is a lagging indicator — by the time it moves, the decisions that caused it are months old. Activity counts are usually vanity: they rise when people are busy, which is not the same as effective.
The useful metrics sit in between. They move earlier than revenue and they are hard to inflate without doing real work.
The five worth tracking
Stage conversion, particularly at Counselling. Counselling converts, offers lapse and fees decide. Tracking enrolments as deals hides all three. That stage is where your enrolments genuinely change state, so its conversion rate is the single most informative number in the pipeline.
Time in stage. Tells you where enrolments decay rather than simply that they did. Compare won against lost and the difference usually concentrates in one stage.
Coverage per institution. How many students you hold, by function. Single-threaded enrolments convert worse and fail abruptly.
Cost per acquired student, by channel. Not blended — blended hides the channel quietly wasting money.
Revenue collected per channel. The one most teams cannot produce, because it needs outreach and invoices in the same database.
The metric nobody can calculate
Ask a education & edtech team which campaign produced the most collected revenue and the answer is usually a shrug, then a reply rate. The gap is architectural: engagement lives in one tool, enrolments in another, invoices in a third, and joining them is a quarterly export exercise nobody performs.
It is also the only metric that would change next quarter's budget, which is a poor reason for it to be the hardest one to get.
Reviewing them without drowning
Weekly: stalled enrolments and time in stage. Monthly: stage conversion, coverage, cost per acquired student. Quarterly: revenue by channel and forecast accuracy against collected revenue.
Anything reviewed more often than it can meaningfully change is noise, and treating noise as signal is how teams end up reorganising around a bad week.