We have developed our own software to process data through many years’ experience. Our suite of programs provides seemless end-to-end processing. Each step is checked by one of our team.
We believe these ten factors are important in successful DP.
Attention to detail
Value for Money
Checking and verifying input data vs the brief
Loading/parsing name and address data
Matching to Royal Mail PAF database to improve address quality
Deriving salutations to Debrett’s etiquette standards
Matching to external suppression databases
Deduplication to various levels within a hierarchy, using multiple phonetic and matchkey based algorithms
Identification of ‘multi buyers’ across cold lists
Fictitious/obscenity name screening
Removal based on geographic location, name and address quality and bespoke removal rules
Source code allocation per list, output file and other specific rules.
True random selection
Matching to Mailing Preference Service (MPS) files
Comprehensive reporting clearly shows how and why names have been removed, input file stats and deduplication matrix
Rapid Graphical User Interface for nett data splitting, coding and output
Archival and deletion of customer and prospect data to comply with GDPR regulations