Data Programming

Specialist Mail possesses significant expertise in Data Programming. Our team’s proficiency, along with the latest software and methodologies, enables clients to effectively engage with their target audience while realizing postal savings through our understanding of the Australia Post system.

DPID Barcoding

The Delivery Point Identifier (DPID) is a distinct number assigned by Australia Post to specific physical addresses. As new constructions and addresses emerge, these identifiers are revised and incorporated into the Postal Address File (PAF File).

By generating a barcode image of this number alongside an address, Australia Post can efficiently scan the code, thereby automating portions of the sorting process. This method of mail production qualifies the mail for postal discounts.

Variable Data

Variable Data Printing (VDP) service allows for personalized content, such as names and addresses, to be seamlessly integrated into documents, enhancing the relevance of communications.

By connecting a data file to a document, various elements of the data can be aligned with the document’s layout.

The term “Variable” indicates the adaptability of the content based on the information in the file, while “Data” signifies that the printed material consists solely of text or data extracted from that file.

Print Post Sorting

Print Post represents a specific category of mail intended for regular publications. To qualify, a publication must be distributed at least twice a year and consist of a minimum of 100 items.

Registration with Australia Post is required, which assigns a unique identifier to the publication. This identifier must be displayed on the address component, such as the envelope or address flysheet, allowing the item to benefit from reduced postage rates.

Additionally, items sorted for linehaul may qualify for further discounts, and we can analyse your data to determine the potential savings available.

De-Duplicating

Is a method employed to identify and eliminate duplicate entries within a data file. Utilizing advanced software and techniques, we can detect records that are similar, such as names, addresses, or other relevant data segments.

These duplicates can either be automatically flagged for removal or manually chosen from a list of identified matches. By eliminating duplicate records, we prevent the unnecessary dispatch of multiple mailpacks to individuals, thereby reducing associated costs.