Matching for your list

Matching
</Merge Purge; Data matching; Duplicate elimination; Householding/>
thinkSmart’s sophisticated algorithms for finding records ensure that you get the greatest amount of properly segmented, unduplicated mailable information possible. ThinkSmart’s matching process uses advanced mathematical calculations to find data. This “fuzzy logic” system essentially identifies records that refer to the same entity or person without relying on exact matching. We’ve designed ThinkSmart’s matching algorithms to be highly configurable so that you can specify different match criteria for each pass. The result is that we will improve your match rates by picking up matches that other comparison techniques miss.

thinkSmart’s matching algorithms allow you to choose how "loose" or "tight" the matching logic should be for de-duping. In other words, you can split results into “high” and “low” quality comparisons. thinkSmart can identify and remove matching records within a single job by using different levels of matching criteria. The criteria can be first name + last name + address, last name + address or address only. On Business-to-Business matching, thinkSmart’s software allows you to prioritize matches between records using individual names, title or company name as your primary criteria. The strategy at thinkSmart is to provide you with the most effective way to target your business audience.

thinkSmart’s matching algorithms have consistently proven to be superior to its competitors when matching individuals, households and businesses. That is because we’ve optimized thinkSmart’s speed of processing with self learning algorithms that update based on new errors in data entry, phonetics, nickname usage and cultural typographical information.

Your Gains
  • Avoids the waste caused by duplicate mailings
  • Ensures a single customer view
  • More accurate information for better informed decision making