Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Formatted Addresses and Mail Carrier Standards

Formatted Addresses and Mail Carrier Standards

When you prepare address records for a mail campaign, you create a printable address structure that matches the formatting standards of the mail carrier.
For example, the USPS maintains the following address format for domestic United States addresses:
Line 1
Person/Contact Data
JOHN DOE
Line 2
Street Number, Street, Sub-Building
123 MAIN ST NW STE 12
Line 3
Locality, State, ZIP Code
ANYTOWN NY 12345
You can define a printable address format that writes each line of the address to a single port. You can use ports that recognize the types of data on each line, or you can use ports that populate the address structure regardless of the data on each line.
The following table shows different ways you can format a United States address for printing:
For This Address
Use These Ports
Or Use These Ports
JOHN DOE
Recipient Line 1
Formatted Address Line 1
123 MAIN ST NW STE 12
Delivery Address Line 1
Formatted Address Line 2
ANYTOWN NY 12345
Country Specific Last Line 1
Formatted Address Line 3
Use Formatted Address Line ports when the data set contains different types of address, such as business and residential addresses. A business address may need three address lines for contact and organization data. The Address Validator transformation ensures that each business or residential address is correctly formatted by using Formatted Address Line ports only when they are needed. However, Formatted Address Line ports do not identify the type of data that they contain.
Use Recipient Line, Delivery Address Line, and Country Specific Last Line ports when all address follow one format. The Recipient Line, Delivery Address Line, and Country Specific Last Line ports separate the address data elements by information type and make the data set easy to understand.
You can select other ports to process this address. This example focuses on ports that format the addresses for printing and delivery.

Demographic and Geographic Data

When you create a record set for a mail campaign, you can add multiple types of data that may not otherwise appear in the address. Use this data to review the demographic and geographic spread of the mail items.
For example, you can identify the Congressional District that a United States address belongs to. You can also generate latitude and longitude coordinates if the destination country includes the coordinates in its mail system reference data.

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