MailCaff Update > Delivering similar results as the big players

Spent some time comparing MailCaff to established email verifiers, and I'm seeing some promising results. Benchmarked 6,620 emails against MillionVerifier. MailCaff's sendable rate is 73.4%, which includes both valid and catch all emails. In terms of invalid emails, it's at 4.5% with 1.5% marked as errors. This is on par with many well known tools.

What sets MailCaff apart is the efficiency and cost. Running on a $12/month server, it handles up to 10,000 emails per job. Most competitors charge over $200/month for similar volume. Processing speed is around 100 emails per minute, which is solid performance for most use cases.

I've put a lot of focus on refining the email finding feature. The self learning pattern engine now starts with 17 patterns and reaches 90%+ accuracy after analyzing 500 leads on a new domain. Catch all detection has improved too, using SMTP fingerprinting and a machine learning model to enhance accuracy.

Curious to hear how others are optimizing their email verification processes. Any tips or features you find essential?

MailCaff.com is a affordable solution to finding and verifying emails.

There are still some pilot spots available with 10.000 free credits, DM me if you are interested.

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