Why use the Australian Bereavement Register (TABR)?

TABR is a leading consumer service that helps stop direct mail being sent to the deceased.

Bereaved families and friends provide details of the deceased to TABR, which is then used to remove those names and addresses from company mailing lists and databases.

The 140,000 people who die every year in Australia will continue to receive an average 68 items of direct mail in the year after their death. This is very upsetting for the family left behind and extremely damaging to the brands sending the unwanted mail.

Deceased records are only added to the TABR file once they have gone through our stringent build and validation process, ensuring quality over quantity.

We don’t deal in assumptions, just facts, to make sure you’re not paying to remove customers that are still alive and spending.

In other words, its what we keep out of TABR that counts!

New Address Enhancement (NAE) file

Ensure you have the correct new address details for your contacts

Statistics show that approximately 3.5 million people move house every year (up to 9,500 per day) resulting in an ongoing decay of an organisations prospect and customer data.

With as many as 38% of customers neglecting to notify their affiliated organisations of an address change, can you be confidedent you have the most up-to-date contact information

Gone-away Left Address (GLA)

The GLA suppression file was created in 2012 to address the problem of mailing people who have moved house, and reducing the cost of dead mail and return to sender mail.

With over 7+ million individual records, the Gone-away Left Address (GLA) suppression file offers the greatest depth of gone- away suppression coverage available in the marketplace.

Crystal Clear Data. Data hygiene service

Crystal Clear Data provides a range of data cleansing services, which can help to dramatically improve your customers communication experience.

  • De –Duplication Data Merge – Data Mapping
  • Address Validation Data Validation
  • APO Barcoding (DPID) Data Standardisation

Data Standardisation can be Particularly useful for standardising fields that contain variable text, which can be and should be converted to a table or a list of predefined values, adding further value to your data visualisation process