Deliverability & inbox testing

Inbox Placement Tester

Predict likely inbox vs spam placement at Gmail, Outlook and Yahoo from real authentication and reputation signals. Free — an honest estimate, not a seed test.

Predict inbox placement

Enter a domain. We estimate likely placement from real authentication and reputation signals.

What this inbox placement tester does

Predicts likely placement at Gmail, Outlook and Yahoo
Based on real SPF, DKIM, DMARC, blacklist and rDNS signals
Scores overall readiness 0-100
Highlights the signals dragging placement down
Honest about what it can and cannot measure
Runs live over DNS — no cached data

Common use cases

  1. 1Estimating placement before a campaign
  2. 2Prioritising fixes to reach the inbox
  3. 3Sanity-checking a new sending domain
  4. 4Explaining likely placement to stakeholders
  5. 5Complementing a real seed-list test
  6. 6Auditing readiness after auth changes

Related tools

About inbox placement

Inbox placement is whether your mail lands in the inbox, a tab like Promotions, or the spam folder. A truly accurate test sends to seed accounts at each provider and reports where each copy arrived — infrastructure this free tool does not have.

Instead, this tool predicts placement from the technical signals that most influence it — authentication, blacklist status and reverse DNS — and is transparent that content, list hygiene and engagement also matter. Use it to fix the foundations, then confirm with a real seed-list test before a major send.

More Free Tools Where This Came From

This utility is one of dozens of free, no-login tools for DNS, email, SEO and developers — all instant and private.

HostCloud.in  ·  Pune, India  ·  Serving 34,987+ Websites Since 2020

FREQUENTLY ASKED QUESTIONS

Got Questions? We Have Answers.

Does this actually test inbox placement?

No — and it says so clearly. A true test sends to seed accounts at each provider. This tool predicts likely placement from the technical signals that most influence it.

What signals drive the prediction?

SPF, DKIM and DMARC authentication, blacklist status, and forward-confirmed reverse DNS — combined into a readiness score mapped to a likely placement.

Why does real placement differ?

Content quality, list hygiene and per-recipient engagement heavily affect placement and vary by mailbox — none of which a technical check can see.

How do I improve predicted placement?

Fix any blacklist listing, complete SPF/DKIM/DMARC, set reverse DNS, then keep lists clean and send wanted mail.

Should I still run a seed test?

Yes, before a major send. Use this predictor to fix the foundations first, then confirm with a real seed-list test.

Is the check live?

Yes. The underlying signals are queried in real time over DNS-over-HTTPS.