Applicants compare entry requirements, fees, duration, delivery mode and outcomes. Most education sites publish prose about campus life instead.
Every live course rendered and indexable.
Requirements stated by qualification type and country.
Employment and progression with provenance.
Evergreen layer carries off-peak demand.
Modelled at current defaults: 682 indexed URLs → 276 application enquirys per month.
Education search is unusually structured: prospective students search by subject, level, location, delivery mode and entry pathway, and they compare on a short list of hard attributes. Institutions typically hold all of that data in a course catalogue nobody has ever rendered as an indexable, comparable page family. Doing that well also fixes the seasonal cliff, because outcome and comparison pages earn traffic outside admissions peaks.
The course catalogue lives in a student system nobody can render publicly.
Traffic collapses outside admission cycles because everything is deadline content.
Entry requirements differ by qualification type and country, and the site states one version.
Every course as a page with entry requirements, fees by residency, duration, delivery mode, start dates and accreditation — from the system of record.
Subject × level × mode comparison pages, plus qualification-pathway pages that answer 'can I get in with X'.
Graduate outcomes, employment data, accreditation and progression routes — with sources and dates, which also happens to be what regulators require.
Evergreen subject and career-pathway content that earns traffic year-round and feeds applicants into course pages at peak.
Course data pulled from the student record system with field mapping, fee-by-residency logic and accreditation attributes.
Normalised course dataset.
These are patterns, not a keyword list. Each one multiplies against the entities in your own dataset — which is where a 1,100-URL first batch comes from.
Not yet. Fix the unchecked items first; publishing now would create pages we would later consolidate.
Institution builds where conversion is a prospectus request or application start. Indexation is held at a conservative 62%.
A model, not a forecast. Move the sliders to your own conversion economics — we will run the same maths against your data on the call.
| Dimension | The usual approach | With WpBulkPublishing |
|---|---|---|
| Course pages | Trapped behind a JS widget | Server-rendered with full attributes |
| Entry requirements | One generic statement | Per qualification type and country |
| Outcomes | Marketing claims | Sourced, dated official data |
| Seasonality | Peaks and cliffs | Evergreen layer flattens the curve |
We look at what education marketers already hold — systems, exports, APIs — and score each axis for demand and defensibility.
The data contract is written and the first template is designed against real rows, not placeholders.
165–385 URLs published with schema, internal links, sitemap entries and IndexNow.
Indexation and impression data decides what widens and what gets cut. Templates, gates and runbook transfer to you.
Which is exactly why it should be generated from the system of record rather than hand-maintained — regeneration is the cheap part.
Each role gets its own data reality, its own template families and its own definition of a good outcome. Pick the seat you sit in.
We audit your data, size the first batch, model the economics and tell you honestly when programmatic is the wrong tool for the job.