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Education

Lead distribution for education

Filter out the incentivised sign-ups before they reach a school, and monetise the traffic that does not qualify.

Higher education
Career training
Student loans
Fraud checkLOW RISK
6
IPQS fraud_score
vpn: falseproxy: false
IPQSAnuraDuplicate check
verdict → ACCEPTED
The problem

Volume is not the constraint

Education traffic is cheap and plentiful, which is exactly the difficulty.

Incentivised sign-ups

Traffic rewarded for filling the form converts at nothing, and looks identical to real intent on arrival.

Narrow buyer criteria

Education level, programme interest and location all gate acceptance, and schools enforce them strictly.

Non-qualifying traffic wasted

Most visitors do not match any school on the panel, and are simply discarded.

Routing

Schools in the order that pays

Buyers are ordered by priority and price, with programme and location filters applied first — so the school that receives a lead is one that actually enrols that student.

  • Programme, level and location filters per school
  • Priority ordering inside the matching set
  • Caps that respect each admissions team’s capacity
Buyer priorityWaterfall
1State university — online$32.00 Won
2Career institute$27.00Capped
3Community college$19.50
Leftovers

The traffic no school wants still earns

A visitor who matches no school can be shown an offer wall instead of a dead end, so seasonal traffic that would otherwise be discarded contributes something.

Rejection reasonslast 30d
Filter — no programme match
640
Buyer — education level
402
Validation — bad phone
233
Duplicate — 30d window
151
Cap reached
74
Duplicate + validation rejections flag recoverable supplier revenue for review.
What you get

Quality first, then volume

Screening before delivery

Fraud scoring and validation run before a school sees the lead.

Per-school criteria

Programme, level and location gate each buyer independently.

Offer walls

Non-qualifying visitors see relevant offers instead of a dead end.

Source-level acceptance

See which traffic partner produces leads schools actually take.

FAQ

Frequently asked questions

Fraud scoring and validation run before distribution, and acceptance rates are reported per source — so a traffic partner producing sign-ups that no school accepts shows up as a number rather than a suspicion.

Yes. Filters run on any field you collect, so programme interest, education level and location can each gate a school before the lead is sent.

They can be shown an offer wall rather than a dead end, so traffic that does not qualify for the panel still returns something.

See it running on your education flow

Bring a live campaign and a school, and we will route real traffic through it on the call.