Database Validation
Imagine this...
You receive a list of prospects from a data vendor...find out over 70% has wrong contact details.
This exactly what happened when we first began our data journey. We bought from every reputable data provider in the industry…yet when we actually did due diligence, it turned out that ‘John Smith from Kansas’ was in-fact ‘Stacy Chambers From Texas’.
This is due to a common process in the data world called ‘fuzzy matching’ which basically means that the data provider is making a “guess” that this person is who they say they are….
majority of this guessing is based on 'cOREG' data aka
information that people provide via online forms.
This means that the entire foundation of most data sets are based on whether or not people are putting the right information via online forms they get through paid advertising from a third party. Combine this with “fuzzy matching” and it’s no wonder why most data sets have the wrong people!
The Solution:
Combine Online With Offline
Match the Email
First we match the email from over 1 billion emails.
Match Email to Consumer Attribute
Next we match the email to the related consumer attributes such as first name, last name, phone number etc. This usually achieved through using COREG datasets.
Skip Trace with Offline Data
Once we have the online attributes of an individual, we cross reference this to offline datasets.
Full Match Unlocked
We now have a full match of the individual with accurate email, phone number and other contact points.