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In force

Tranche 2 started 1 July — AML/CTF obligations now extend beyond financial services.

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WatchEyeOnboarding & monitoring

Customer onboarding, screening and ongoing monitoring in one system, with real-time KYC and KYB alerts when a customer's risk changes.

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IDFEX ID CheckIdentity verification

One-to-one identity, document and data checks against the DVS and Australian data sources, run from the Portal or by API.

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ID PassSelf-service verification

Customers verify their own identity and biometrics from a link on their phone. The result comes back to you, and they keep control of their data.

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InsiightData quality

Verifies, corrects and enriches customer records so they stay accurate — one at a time or across your whole database.

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Australian Death CheckDeceased data

The official national death data source. Match your records against it to find and remove deceased individuals.

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QuesterMarketing lists

Build targeted, privacy-compliant Australian marketing lists with smart filters. Pay only for the records you download.

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verified_userVerify identities6 solutions

Confirm a person or business is who they claim to be: government IDs, biometrics, business registries and employment checks against authoritative Australian sources.

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policy_alertStay compliant6 solutions

Meet AUSTRAC obligations and understand customer risk: screening, risk assessment, fraud controls and investigation tools with evidence recorded for each check.

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databaseImprove your data3 solutions

Keep customer records accurate and put them to work: correct and enrich existing data, unify it into a single view, or build compliant marketing lists from opted-in records.

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policyAML & screening6 use cases

Obligations under the AML/CTF Act, from screening at onboarding through to ongoing monitoring — with the evidence for each check recorded.

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how_to_regOnboarding & identity3 use cases

Verifying who a customer, employee or account holder is — at sign-up and during ongoing checks — against authoritative Australian sources.

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databaseData & enrichment4 use cases

Keeping customer records accurate, current and complete: validate contact detail, fill the gaps, locate people and remove deceased records.

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contact_phoneData & enrichment

Validate contact details before you rely on them

Confirm phone numbers connect, email addresses accept mail and postal addresses exist. Validate at the point of capture, or wash a whole file.

contact_phone
50M+ phone & email records
home
GNAF address validation standard
phone_disabled
DNC register status per number
contact_phoneContact validationLive
person
Web form submissionLead #7731
Validating
callPhone connectivityLive network checkConnected
phone_disabledDNC registerDo Not Call statusListed
mailEmail deliverabilityMailbox-level checkValid
homePostal addressGNAF-verifiedVerified
warning
DNC listed
Number cannot be called for marketing
DNC
verifiedResults return per field, not as a single pass/fail.
gavelWhy it matters

Why organisations validate contact data

Bad contact details fail quietly. You pay for the send and never learn it went nowhere.

payments

Wasted contact spend

Disconnected numbers and dead mailboxes consume call-centre time and campaign budget at file scale.

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Form quality

Typos caught at capture are corrected by the customer in seconds. Found later, they're a research task.

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Spam Act & DNC compliance

Calling a DNC-listed number for marketing is a breach. Washing the file first is the control.

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Sender reputation

High bounce rates get your domain filtered. Validated lists keep legitimate mail landing in inboxes.

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What runs this use case

apiGlobal Data API
Validation endpoints

Phone connectivity, DNC status, email deliverability and address validation endpoints, single or bulk, at capture or on schedule.

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auto_fix_highInsiight
Bulk file washing

Validates a whole customer file in one run and returns per-field results alongside corrections.

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campaignQuester
Validated marketing lists

Consumer lists arrive already validated and DNC-washed, so the first contact attempt counts.

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Run your worst file through it

Send a sample of your hardest data and we'll return the per-field validation report a full run would produce.

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helpFAQ

Common questions about contact data validation

If your question isn't covered here, ask our team.

What does a phone connectivity check tell us?

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Whether the number is currently connected on an Australian network, established without placing a call, so the person on the end of it never knows the check happened.

Disconnected numbers and never-allocated numbers are flagged separately, and the distinction is useful. A disconnected number was valid once and belonged to someone, which usually means your record is simply out of date. A never-allocated number was never real at all, which points to a typo at capture or a deliberately false entry.

The check runs live at query time instead of reading a stored status, so the answer reflects the network now, not when the record was built.

Does the email check send an email?

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No. The check verifies the domain and then the mailbox at the server level, so nothing is delivered and the address owner sees nothing at all.

This matters for two reasons. Sending a test message to check an address is visible to the recipient and unwelcome, and at file scale it is exactly the behaviour that gets a sending domain flagged.

A server-level check gives you the same answer without spending any sender reputation to get it.

What is GNAF validation?

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Matching an address against the Geocoded National Address File, the authoritative register of Australian addresses.

A GNAF match confirms two things: that the address physically exists, and what its standard written form is. The second is often the more useful. Addresses arrive in a great many formats, and standardising them is what makes deduplication, mail sorting and geographic segmentation work at all.

An address that fails GNAF is not always wrong, but it is always worth looking at. Most failures are unit numbers in the wrong field, missing street types, or suburbs that do not match their postcode.

What are our DNC obligations?

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Telemarketing calls to numbers on the Do Not Call Register are prohibited unless an exemption applies to you.

Checking DNC status before a campaign is the standard control, and the check records that you performed it. That record is the part that matters if you are ever asked to demonstrate compliance, because the obligation is assessed as at the date of the call.

A file washed six months ago and dialled today provides no protection. Numbers are added to the register continuously, and a stale wash date is close to no wash at all.

Why validate at the point of capture instead of cleaning up later?

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Because the cost of a bad contact detail rises steeply with time.

A typo caught at capture is corrected by the customer in seconds, while they are still on the form and still know their own phone number. The same typo found three months later is a research task: someone has to work out what the number should have been, and often the answer is that nobody can.

Validating at capture also stops the error propagating. A bad address entered once is copied into billing, marketing and delivery systems within days, and each copy has to be corrected separately afterwards.

How does bad contact data affect our email deliverability?

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Directly, and it compounds. High bounce rates cause receiving providers to filter your domain, which means the messages that were going to legitimate, valid addresses stop landing too.

That is the part organisations tend to miss. The cost of an invalid address is not the one message that bounces; it is the reputational damage to the sending domain, which degrades delivery for the entire list.

Validating before the send keeps bounce rates low enough that legitimate mail continues reaching inboxes. On the phone side the equivalent waste is more visible but less contagious: disconnected numbers consume call-centre time at file scale, but they do not make your other calls fail.

How do bulk runs work?

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Upload a file through Insiight, or call the bulk endpoints directly.

Results return per record and per field, not as a single pass or fail for each row. That granularity is what makes the output actionable: a record with a valid address, a dead phone number and a good email needs a different treatment from one that fails everything, and a single verdict would collapse the two.

With per-field results you can fix, suppress or route each problem separately, which usually means most of the file stays usable instead of being quarantined wholesale.

How current are the results?

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Connectivity and deliverability checks run live at the time of the query. They are not read from a cached status that may be months old.

DNC status reflects the register as at the check date, and that date is recorded with the result, because the date is what compliance turns on.

The practical consequence is that these checks are worth running close to the moment you rely on them. A validation run performed immediately before a campaign is materially more useful than the same run performed at the start of the quarter.

Enquire Now

Talk to us about contact data validation

Send a sample of your hardest data and we'll return the per-field validation report a full run would produce.

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