LeadFerret Data Quality Scoring System

We have recently added a system to the site that assigns a quality score to each record. This system is still very much in it’s infancy, so it will be evolving over time, but the concept is simple:

The higher the score, the more likely the data is to be accurate. Currently we run about a dozen tests against the data, and depending on the results, the score goes up or down. For example: If we attempt to verify the email address and get an ambiguous result, like a soft bounces or spam block, we subtract a few points form the score. If we get a positive results, like something that confirms the email is definitely good, we add a few points to the score.

If the score drops low enough, the record will no longer show up in your search results, unless you check the box that says “Include records with poor quality score” before running your search.

We will be adding many more checks, verification, and tests that will impact each record’s score in near future, thus more accurately predicting the accuracy of that records, and removing more of the inaccurate records.

We will also be tying this scoring system in with our users feedback, so when someone click on the “thumbs down” for a record, the score goes down, and each thumbs up increases that record’s score.

You can also sort by this score in your search results, allowing you to focus first on the records that are most likely to be accurate, making your efforts more efficient and productive.

As always, we are very interested in our users’ feedback, so please email us at [email protected] with any questions, thoughts, suggestions, etc.