How a commercial-data provider extended its coverage in Australia and New Zealand.

Registry data missed the digital-first majority

The customer operates one of the largest commercial data platforms across Australia and New Zealand. In 2024 its footprint expanded with the acquisition of the region's second-largest credit bureau. The combined dataset serves marketing-services and credit-modelling use cases for lenders, insurers, and corporate-marketing teams across both markets.

Like every registry-rooted dataset, the combined stack carried structural blind spots in the segments where commercial data is hardest to capture and most valuable. Australian and New Zealand sole traders, micro-businesses, and digital-first operators that hadn't crossed registry thresholds were under-covered. Established companies whose multi-site or digital-channel operations diverged from registry filings showed thin attribute records. New-to-world businesses lagged reporting cycles. For the customer's marketing-services side, the gap meant smaller addressable audiences. For the credit-modelling side, it meant gaps in risk-scoring inputs.

The brief was to extend coverage and depth across the ANZ commercial dataset by integrating data on what businesses do (activities, locations, products, technographics) alongside the registry-rooted records, validated against a benchmark the customer could trust.

Coverage across digital, legal, and both

Veridion's ANZ commercial data feeds the customer's data stack alongside the registry-based core, across the three classes that define commercial-data coverage in any market: digital and legal, digital-only, and legal-only (registered companies with active web presence; operating without a registry record; registered without active web presence). For the customer's marketing-services side, the value concentrates on the digital-only segment, a category that disproportionately includes the SMBs and digital-first operators that marketing campaigns target. For the credit-modelling side, the value concentrates on attribute depth and freshness across the digital-and-legal segment.

The data spans business activities at granular taxonomic levels, products and services with consistent classification, technographics, business descriptions, and a secondary-location footprint with facility-type classification. The core graph refreshes weekly; volatile attributes refresh daily.

Records flow continuously into the customer's pipeline through Veridion's Match & Enrich layer, which resolves every Veridion entity against the customer's existing company keys without forcing identifier migration.

97.2% match against the reference benchmark

The customer's ANZ commercial dataset has been integrated with Veridion's data in production since August 2025, on a multi-year contract covering both Australia and New Zealand. Match accuracy was validated against a 9,037-company spot-check across five Melbourne postcodes. Veridion recorded a 97.2% match rate against the customer's reference data, and within the same five postcodes identified 21,900 additional active businesses that the reference benchmark didn't include.