data services

Merge/Purge:
The process whereby we take one or more data files (usually mailing lists), clean and format them to consistent standards and consistency between the individual lists (e.g. first names in field ‘first’, last names in field ‘last’, etc.), and then merge them all together while at the same time purging the final, output file of all duplicates.
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Matchback Processing:
Source codes are great tools for identifying profitable lists. For example, Which lists hit your break-even? What was your average order value? What response method (web, mail, phone) produced the best results for each list?
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Data & List Cleaning:
How much is dirty data costing you? How much wasted postage and printing do you absorb because of poor Data Quality? How many missed opportunities to connect with your custom- ers, how much damage to your brand will you accept? You’ve invested in your customer rela- tionships and your data assets, but is poor Data Quality keeping you from utilizing those to their fullest extent?
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Data Quality & Stewardship:
process whereby we take one or more data files (usually mailing lists), clean and format them to consistent standards and consistency between the individual lists (e.g. first names in field ‘first’, last names in field ‘last’, etc.), and then merge them all together while at the same time purging the final, output file of all duplicates.
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Flat-Rate List Cleaning Packages:
Our flat-rate list cleaning process is the answer. Cheap, fast, and reliable—we run a 21-step process on your list that cleans, dedupes, and outputs a list that is 100% deliverable. Now your list can stand out as the “best of the best” in anyone’s merge.
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Data Appending:
process whereby we take one or more data files (usually mailing lists), clean and format them to consistent standards and consistency between the individual lists (e.g. first names in field ‘first’, last names in field ‘last’, etc.), and then merge them all together while at the same time purging the final, output file of all duplicates.
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Circulation Planning:
process whereby we take one or more data files (usually mailing lists), clean and format them to consistent standards and consistency between the individual lists (e.g. first names in field ‘first’, last names in field ‘last’, etc.), and then merge them all together while at the same time purging the final, output file of all duplicates.
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