The Email Hippo Trust Score is designed to answer a fundamental question posed from the perspective of a business owner, merchant, data broker or lean generation service:

Our blog Email Hippo Trust Score Explained details the benefits of the Trust Score.

Trust Scores are calculated by using a unique algorithm on the results that are returned from the email verification. This is achieved by using the following categories.

  • meta
  • disposition
  • emailVerification
  • infrastructure
  • sendAssess
  • spamAssess
  • spamTrapAssess

(Plus a few additional in-house data points)

A full list of the results and description can be found here,

The Trust Scores is used to demonstrate the quality of the email address that is being validated.

Hippo Scores

The Hippo Trust Score and Trust Level work in sync with each offer.

Trust Level

The Trust Level is (a human-readable), result, defined by the Trust Score. 

  • None: No information on trust
  • Low: Low trust level
  • Medium: Medium trust level.
  • High: High trust level.

Trust Score

Scores are between 0 and 10. The higher the Trust Level the higher the.Trust Score.

The Trust Score and Level are easily converted, as shown below:

  • <0> = None
  • <1 to 3> = Low
  • <4 to 6> = Medium
  • <6 to 10> = High

It should be noted that Email Hippo have many years of experience (over a decade) in the email validation sector which has given us a unique and well-versed understanding of an email address, reputation score.

Disagree with the Scores

You are, of course, welcome to create your own score within your implementation of our service.


The easy way (Using the Trust Level):

  • <0> = None
  • <1 to 5> = Low
  • <6 to 10> = High


An advanced method: would be to use every result provided by our service and maybe some data of our own to create a unique algorithm from the data sets but this is far beyond the scope of this article because of your, unknown, individual requirements.

This method could have irreversible results for your send reputation and should be methodically planned out before implementation and should be run alongside our results for an extensive period. Do so at your own risk!