Expected Accuracy and Edge Cases

Learn what level of accuracy to expect from CSVgo, what email verification can and cannot determine, and how edge cases are handled transparently.

Email verification is not binary. It is a probabilistic process based on technical signals that vary across providers, domains, and infrastructure.

This page explains what accuracy you can realistically expect from CSVgo and how edge cases are handled.


What “Accuracy” Means in Email Verification

Accuracy in email verification does not mean certainty.

It means:

  • Minimizing false positives (marking bad emails as good)

  • Minimizing false negatives (discarding good emails)

  • Being conservative when signals are unclear

  • Preserving transparency instead of guessing

CSVgo is designed around these principles.


What CSVgo Is Highly Accurate At

CSVgo is very reliable at identifying:

  • Clearly invalid email addresses

  • Non-existent domains

  • Malformed or syntactically invalid emails

  • Undeliverable mailboxes with strong negative signals

  • Many catch-all emails with strong positive or negative indicators

These outcomes are based on consistent, repeatable signals.


Where Uncertainty Can Exist

Some email environments intentionally limit visibility.

Uncertainty can occur when:

  • Domains are configured as catch-all

  • Secure email gateways mask mailbox behavior

  • Servers suppress or delay bounce responses

  • Mail routing is intentionally opaque

  • Temporary network or server conditions interfere

In these cases, perfect certainty is not technically possible.


How CSVgo Handles Uncertainty

When CSVgo cannot determine deliverability confidently, it does not guess.

Instead:

  • The email is marked as risky

  • It is kept visible in the results

  • It is excluded from deliverable exports unless you choose otherwise

This ensures accuracy is not inflated artificially.


Why Some Deliverable Emails Can Still Bounce

Even emails marked as deliverable can bounce later due to:

  • Sender reputation issues

  • Content-based filtering

  • Volume spikes

  • Policy changes on the recipient side

  • Temporary server conditions

Email verification evaluates recipient-side readiness, not sender-side behavior.


Why Some Undeliverable Emails Might Appear Reachable

In rare cases:

  • A server may temporarily accept mail

  • A mailbox may be deactivated after verification

  • Routing behavior may change

These are environmental changes, not verification failures.


Why CSVgo Does Not Guarantee Perfection

Email infrastructure is dynamic by design.

CSVgo does not:

  • Claim 100% accuracy

  • Hide uncertainty

  • Convert unknowns into false certainty

Instead, it aims to:

  • Reduce risk where possible

  • Preserve trust in the data

  • Let users make informed decisions


Best Practices for Using Results

For optimal results:

  • Send deliverable emails first

  • Segment or test risky emails at low volume

  • Monitor bounces and replies

  • Adjust sending strategy based on real outcomes

CSVgo provides the data. Strategy determines results.


Summary

CSVgo provides high-confidence verification by:

  • Using multiple technical signals

  • Avoiding single-point assumptions

  • Marking uncertainty transparently

  • Reducing false positives and negatives

Edge cases exist in all email systems. CSVgo handles them conservatively and visibly, not silently or optimistically.

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