You have thousands of contacts and only enough time to call a handful. Donor Location Score rates the area behind every Contact's address — Very low to Very high — describing the socio-economic profile of the neighbourhood they live in, not the person. It's area-level data, not personal profiling, built from LINZ address data scored with the University of Otago's NZDep2023 index, for New Zealand contacts only. Start with a free coverage check, then run a pilot on your list.
Your list has no way to sort by who's worth the call today.
Same call, same letter, same ask — for a donor who'd give five times as much and a donor who'll never give at all.
One standard ask amount goes out to the whole segment, regardless of who's on it.
An ask sized for the average donor is too small for the ones who could give more, and easy to ignore for the rest.
A PO Box and a street address get filed the same way, with nothing to tell them apart.
Nobody downstream can tell which rows rest on a confirmed address and which rest on a proxy.
Sorting a base by hand means exports, spreadsheets, and guesswork before a single dial happens.
Every hour spent building a list by hand is an hour not spent talking to someone who might actually give.
A list tells you who you know. A score tells you who to call first.
Least socio-economic advantage in the scored range. Useful context before an ask, not a reason to skip a contact.
Below-average socio-economic advantage for the area. Weigh it alongside relationship history, not on its own.
Typical socio-economic advantage for the area — the middle of the scored range.
Above-average socio-economic advantage for the area. A reasonable signal to prioritise for a call or a larger ask.
Most socio-economic advantage in the scored range. Often worth an earlier call and a bigger ask.
Every score carries a confidence level, so the address behind it stays visible instead of hiding inside the number.
It builds a full picture of one named person — giving history, business interests, capacity to give — and answers how much to ask them for. That work is slow per name, and it only reaches the people who appear in public records at all.
Every contact with a New Zealand address gets a band describing their area — no profiling, no capacity estimate, nothing about the person. It answers the question before that one: which part of your list deserves attention first.
Research tells you how much to ask one donor for. The score tells you whose name belongs on the research list.
| API name | Label | Values | Note |
|---|---|---|---|
Location_Score__c | Location Score | Very low, Low, Medium, High, Very high — or Not matched / PO Box when there’s nothing to score | Never blank. An address we can’t score gets Not matched or PO Box instead of an empty field. |
Location_Score_Confidence__c | Location Score Confidence | High, Low — or Not matched, where there is no score to be confident about | Never blank, like the score itself. High for a matched street address, Low for a PO Box stand-in, Not matched where the address could not be resolved at all. |
LINZ NZ Addresses
The contact’s address is matched against LINZ NZ Addresses, New Zealand’s official address dataset. An address that doesn’t match — a PO Box, a typo, a rural delivery number — falls through to the PO Box or Not matched fallback instead of failing silently.
360tuned
A matched address is resolved to its SA1 — a statistical area of roughly 100 to 200 residents, the smallest geography New Zealand’s official statistics use. That’s neighbourhood-level, not suburb-level, and nowhere near individual-level. Postcodes are skipped entirely: they don’t line up with New Zealand’s statistical geography, so they can’t do this job.
University of Otago (NZDep2023)
The SA1 is scored using NZDep2023, the deprivation index built from Census 2023 data, then mapped onto the five plain-language bands that land on the Contact — Very low through Very high. This is the score. Nothing later in the chain changes it.
360tuned
Where it helps explain a band, we layer on IMD2023 domains — access to services, housing, income. IMD2023 is only available at the coarser SA2 level, so it explains a score; it never sets one.
LINZ NZ Addresses. Sourced from the LINZ Data Service and licensed for reuse under the CC BY 4.0 licence
NZDep2023. NZDep2023 index of socioeconomic deprivation, University of Otago
IMD2023. IMD2023 index of multiple deprivation, University of Auckland
For a smaller scorable list — a low-cost way to see the score against a real segment before you commit to more.
Runs once your free coverage check confirms this band — so the price is fixed before anything starts.
Where most NZ fundraising databases land — enough scorable records to prioritise a full call list in one pilot run.
Runs once your free coverage check confirms this band — so the price is fixed before anything starts.
For a larger scorable list — the same fixed-scope pilot, sized for the extra volume.
Runs once your free coverage check confirms this band — so the price is fixed before anything starts.
This is a pilot: one manual scoring run, not a subscription. Scheduled re-screening — a daily check for new records plus a periodic full refresh — is the announced next step, not something sold here yet. Run the free coverage check first; it fixes your band before anything is booked in.
We build both custom fields ourselves and hand you the definitions to review. Nothing is switched on until your admin has seen exactly what's being added to the Contact.
Write access is scoped to the two fields we create. No existing field is edited and no other object is touched. The one existing field we read is the mailing address — the match has nothing to work from without it — and nothing else on the Contact is read at all.
They're ordinary custom fields in your own org, not something licensed from us. If you stop working with 360tuned, nothing is removed and nothing stops working — the scores stay exactly where the pilot left them, for as long as you keep the org.
We switch off write access the day we hand the run over — the same day as the handover call in step 05, not some later tidy-up. It doesn't sit open waiting for a future refresh — a new run means access is granted again, not access left standing.
The score describes the small statistical area a contact's address sits in, roughly 100 to 200 residents. We add no income, no assets, no personal attribute, and infer nothing about the individual.
We give you plain-language wording you can drop straight into your privacy statement, describing this enrichment the way a donor would actually understand it.
Under Principle 6 of the Privacy Act 2020, a donor can ask what you hold about them and where it came from. We give you a template answer for exactly that, covering this score.
Nothing here is bought from a data broker or scraped. The two datasets the score is built from are openly licensed — LINZ address data under CC BY 4.0, and the University of Otago's NZDep2023 — and every source behind the page is named on it. The full source list ships with your pilot.
You send us an export of your Contacts. We tell you how many addresses are scorable and which price band that puts you in. It's free, and it commits you to nothing.
1–2 business days
The price comes straight from the band your coverage check settled, so there's no surprise waiting at invoicing time.
Same day
We hand over the definitions of the two fields we'll create. Your admin reviews them, then grants write access scoped to those two fields only.
A few days
We create the fields, match every address, and write the score plus its confidence onto every Contact in the run. An address we can't match still gets an explicit value, never a blank.
A few days
We walk you through what landed, how to read the bands, and which segments to call first. Access is switched off the same day.
30 minutes
The deliverable is the two fields on the Contact record — the score itself and its confidence. A report you'd have to cross-reference against your own list is exactly what this replaces. A fundraiser needs the score sitting on the record they already open, so there's no read-only version of this product.
They stay. They're ordinary custom fields in your own org, not something licensed from us. Nothing is removed, nothing stops working, and no subscription keeps them alive.
Under Principle 6 of the Privacy Act 2020, a donor can ask what you hold about them and where it came from. The honest answer is short: an area-level band derived from their address and public, licensed datasets — no income, no assets, nothing about them personally. A template answer ships with the pilot.
Two reasons. That data is licensed, so reselling it into your org would mean redistributing someone else's product. And price is a poor proxy anyway — it moves with the market, not with the community. The deprivation data behind this score is purpose-built, open, and attributed.
Out of scope for now — this pilot covers New Zealand addresses only. Australian and other overseas addresses come back unmatched with an explicit value, so they're visible as unscored rather than silently wrong. Other countries are a later step, but we're not promising a date yet.
It's the announced next step, not something on sale here: a daily check for new records plus a periodic full refresh. Join the waiting list on this page to hear when it ships — we're not promising a date yet.
It's free, and it settles both your scorable count and your price band in one step. Run it first — decide about the pilot once you know the number.
Regularly, we share the most practical tips and lessons from real projects solving real problems.