Validating sender

Since then, we’ve continued our research and have constructed an improved system to identify undeliverable and risky email addresses so you can be confident in your sending, instead of relying on outdated and inaccurate checks.Our data scientists discovered that not all hard bounces are equal – one hard bounce isn’t enough to discount an email address for everyone.For most basic uses, these tests should be reasonably self explanatory.Advanced users may need, and probably want, some additional information on how these tools work. Retrieves SPF records for the specified domain name and determines if the record is valid.That’s why we build Recipient Validation with that in mind.Recipient Validation will catch typos before your user submits, and with the majority of validations completed in under 30 milliseconds, you won’t introduce extra friction.Data-driven email validation powered by the world’s largest sender.We are excited to announce the next generation of Spark Post’s Recipient Validation – data-driven email address validation powered by the world’s largest email database.

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With the average engagement rate of less than 0.80%, you can confidently eliminate throwaway addresses.

The goal is to reduce the amount of spam and fraud by making it much harder for malicious senders to disguise their identity.

These tools are meant to help you deploy SPF records for your domain.

And just as important, you also want to be sure you never miss an opportunity to connect with someone.

As a customer of yours, I want you to catch my mistakes before I finish signing up because I really do want to hear from you! Back in December, we decided to tackle this universal problem and released a beta of Recipient Validation.

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