Free reference tool

Use the same enrollment math in every room.

Search definitions, formulas, and interpretation cautions for the metrics used across enrollment, marketing, analytics, and leadership.

Why definitions matter

A metric is trustworthy only when its numerator, denominator, population, dates, and source are explicit.

The dictionary provides a starting definition—not a substitute for an institution-approved data dictionary.

24 of 24 metrics

Cost per lead (CPL)

Top-of-funnel acquisition cost for a clearly defined source and reporting scope.

Formula
Eligible marketing spend ÷ eligible leads
Interpretation caution
Platform leads and CRM-confirmed leads may use different event and deduplication rules.

Cost per application (CPA)

Acquisition cost measured at the CRM-confirmed application stage.

Formula
Eligible marketing spend ÷ eligible applications
Interpretation caution
State whether started, submitted, complete, or accepted applications qualify.

Cost per enrolled student (CPE)

Cost required to produce one CRM-confirmed enrolled student under a documented attribution rule.

Formula
Eligible marketing spend ÷ eligible enrolled students
Interpretation caution
Align spend, enrollment status, source eligibility, cohort maturity, and reversals.

Lead-to-application rate

Share of eligible leads that progress to the defined application stage.

Formula
Applications ÷ leads
Interpretation caution
Use consistent people/event deduplication and adequate cohort maturity.

Application-to-enrollment rate

Share of eligible applications progressing to the defined enrollment status.

Formula
Enrollments ÷ applications
Interpretation caution
Application and enrollment definitions must represent the same population.

Lead-to-enrollment rate (LTE)

End-to-end conversion from eligible lead to CRM-confirmed enrollment.

Formula
Enrollments ÷ leads
Interpretation caution
Young cohorts understate eventual LTE; compare cohorts at equal maturity.

Yield

Share of admitted students reaching the institution’s chosen yield outcome.

Formula
Enrolled or deposited students ÷ admitted students
Interpretation caution
Institutions use different denominators and deposit/enrollment definitions.

Attribution coverage

Share of the outcome population that supports source-level attribution analysis.

Formula
Outcomes with usable source ÷ total eligible outcomes
Interpretation caution
Publish coverage beside channel efficiency; do not silently allocate unknowns.

Platform conversion

Conversion counted by an advertising or analytics platform under its identity and attribution rules.

Formula
Platform-defined conversion events
Interpretation caution
It is not automatically equivalent to a unique CRM lead, application, or enrollment.

CRM-confirmed outcome

Institutional funnel outcome based on the CRM or student-system definition.

Formula
Records meeting a documented CRM status rule
Interpretation caution
Document duplicates, test records, reversals, and status-history treatment.

Period reporting

Operational view that counts activity by when each event happened.

Formula
Events occurring during selected dates
Interpretation caution
Current-period outcomes may originate from prospects acquired earlier.

Cohort reporting

Acquisition-quality view that follows a population sharing an entry rule or window.

Formula
Defined entrants followed through later outcomes
Interpretation caution
Always disclose entry criteria, maturity age, and observation cutoff.

Pace index

Ratio showing whether spend or outcomes are progressing against a linear or seasonal plan.

Formula
Actual to date ÷ expected to date
Interpretation caution
A 100% pace index is only meaningful when the expected curve is credible.

Budget utilization

Share of the approved budget consumed so far.

Formula
Spend to date ÷ total budget
Interpretation caution
It does not indicate whether spend is on pace unless cycle timing is included.

Year-over-year change

Relative change from a comparable prior-year measure.

Formula
(Current − prior) ÷ prior
Interpretation caution
Align cycle position, weekdays, definitions, program mix, and cohort maturity.

Variance

Absolute difference between observed and reference performance.

Formula
Actual − expected
Interpretation caution
Show absolute and relative variance; percentages can exaggerate small denominators.

Match rate

Share of records connected across systems using the selected identifiers and rules.

Formula
Matched eligible records ÷ eligible records attempted
Interpretation caution
Define the denominator and distinguish deterministic from modeled matches.

Unknown-source rate

Share of outcomes that cannot be assigned to the governed source taxonomy.

Formula
Outcomes without usable source ÷ total outcomes
Interpretation caution
Unknown does not mean organic and should remain visible.

Cost per click (CPC)

Average media cost for an advertising-platform click.

Formula
Media spend ÷ clicks
Interpretation caution
Click quality and downstream progression matter more than CPC alone.

Click-through rate (CTR)

Share of impressions generating a recorded click.

Formula
Clicks ÷ impressions
Interpretation caution
Platform placement, format, and measurement differences limit cross-channel comparisons.

Conversion lag

Elapsed time between an acquisition or interaction event and a later funnel outcome.

Formula
Outcome date − entry or interaction date
Interpretation caution
Use distributions and maturity curves rather than one average alone.

Source mix

Distribution of eligible volume across governed source categories.

Formula
Source outcomes ÷ total outcomes
Interpretation caution
Mix shifts can change topline efficiency without within-source performance changing.

Program mix

Distribution of enrollment activity across academic programs.

Formula
Program outcomes ÷ total outcomes
Interpretation caution
Different demand, capacity, tuition, and cycle length affect comparisons.

Marginal cost

Additional cost associated with producing an additional unit of outcome.

Formula
Incremental spend ÷ incremental outcome
Interpretation caution
Descriptive averages do not establish the causal increment.