Sample expected output — spot the bias

Sample expected output — spot the bias

Shape, not exact words.


The overlap

Look-alike profile

Across your donor postcodes:

Unasked look-alikes — 10 candidates

Postcode Suburb Why it’s a credible candidate
2041 Balmain / Birchgrove Inner-west renter, civic, similar to your inner-city donors
2040 Leichhardt / Lilyfield Owner + renter mix, similar profile to 2041
2204 Marrickville High volunteering, civic-engaged, ALP — never asked
2049 Lewisham / Petersham Same as above, denser
2065 Crows Nest / Naremburn Owner-occupier mid-density, similar to Mosman
2113 Macquarie Park / North Ryde Higher-income, older — matches wealth cohort
2154 Castle Hill Owner-occupier suburban, mid-to-older, mid-income
2074 Pymble / West Pymble North shore wealth — very close demographically to 2030 / 2088
2120 Pennant Hills / Thornleigh Stable suburban, owner-occupier, mid-to-older
6011 Cottesloe (WA) Closest national look-alike to 2030

Bias warning

Three groups are systematically absent from your file:

  1. Multicultural inner-west / outer-south Sydney (Bankstown 2200, Cabramatta 2166, Auburn 2144). Never asked, zero supporters. The model can’t tell you whether they’d give — but the file can’t tell you either.

  2. Middle-suburb owner-occupier families (Parramatta 2150, Liverpool 2170). High volunteering and unpaid care but light-touch campaign coverage.

  3. Regional centres (Wollongong, Newcastle, Geelong, Bendigo). Zero coverage; the look-alike score for these is moderate-to-high on the same demographic axes as your eastern-suburbs cohort.

Cheapest experiment

Pilot postcode 2204 (Marrickville) for three months.

Why:

Pilot design:


Honest framing: this is a list of hypotheses, not a media plan. The model can’t tell us these people will give — only that they look like the people who already do. A pilot is the only way to find out.