Sensis Data Solutions is now known as Thryv Data. Our products, services and team still remain the same.

Providing trusted data services

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What we do
real time data cleansing

Real time data validation

Improve data accuracy by validating customer contact details as they’re entered.
bespoke data solutions

Enrich consumer lists

We have access to the largest repository of data in Australia, boasting over 19 million consumer records.
bespoke data solutions

Bespoke data solutions

While an off-the-shelf package is great for some, a bespoke approach may be the key.
batch data cleaning

Batch data cleaning

Cleanse all your data in one go and check data quality any time.
consumer data

Consumer data

We validate and enhance consumer contact data using multiple, privacy compliant data sources.
power your search

Profile and segment
custom
ers

Humanise your database with Australia's most advanced customer segmentation tool.  
Helping businesses succeed with data quality
Our blog
data and brand perception
By Thryv Data Team July 27, 2025
In today’s world, information moves fast, and people want up-to-date news right away. If a company has old data, it can hurt its image. Customers count on brands to give them the right info. If a company doesn’t keep its data fresh, trust can slip away. For instance, if someone checks an online store and finds wrong product details, pricing, or availability, it can be frustrating and make them feel let down.
customer data
By Thryv Data Team July 8, 2025
Figuring out how clean customer data impacts your business is really important. It helps you see what you get from your efforts to improve data quality. Here are some ways to measure that impact:
By Thryv Data Team June 30, 2025
In today's digital world, having good customer data is super important for businesses. It helps them understand their customers better, personalize their services, and make smart choices. But keeping customer data accurate and reliable takes some serious work. Here’s a look at how to build and keep high-quality customer data.
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