Get industry leading matching in 3 easy steps…
"61% of marketers struggle with duplicate records"
- Royal Mail Research 
So how does matchit On Demand make matching so simple?
Conventional wisdom is that matching and deduplication is more of an art than a science: good results are more dependent on the skill and experience of the user than the tools that they use.
Where other Matching Platforms Fail
Most conventional matching software is not designed for contact data but for generic data such as product names/codes, so it allows for keying and reading errors, and mishearing of individual letters – but not phonetic (sounds like) equivalence such as Naughton and Norton or typical inconsistencies in data supply and entry.
Some solutions do allow for obvious inconsistencies – Tony or Anthony, Ltd. or Limited etc. but the example below shows the kinds of error and inconsistency that they can’t handle.
This approach is prone to missing matches and delivering “false positives” – records that are incorrectly identified as matches. Unlike product codes, order numbers etc., contact names and addresses often have several acceptable forms so that standardisation to a single form is not always possible or desirable. What’s more, most people have more than one phone number and many have multiple email addresses, with different numbers/emails being used for differing purposes.
This is why solutions that need standardised data and rely on lengthy match keys miss a lot of good matches.
How to Enjoy Next-Level Matching with matchit On Demand
First, select the file to upload – matchit checks to see if it can figure out the layout automatically for you:
Set match threshold to tight matching
Loose matching ensures the offer is not sent to existing customers
Minimise Manual Review of the grey area which can be done as a background task after the higher scoring (tight) matches have been linked
Other tools either don't grade matches at all, or the grading is so crude it allows the most obvious matches to be handled automatically – leaving you to choose between reviewing every match and deciding whether to accept or reject each one, or simply to go with just the obvious matches.
This often means letting a very large proportion of the matches go uncorrected or undetected.