> For the complete documentation index, see [llms.txt](https://docs.gethyperscale.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gethyperscale.com/faq/how-do-i-avoid-landing-in-spam.md).

# How do I avoid landing in spam?

Inbox placement comes down to three things, in order of impact:

1. **Email authentication on your sending domain.** DKIM, DMARC, and SPF have to be set up correctly. See [How to authenticate email (DKIM, DMARC, SPF)](/email-best-practices/how-to-authenticate-email-dkim-dmarc-spf.md).
2. **Your domain's sending reputation.** New domains start with no reputation; established business domains start strong. If you're sending from a fresh domain, ramp volume gradually — see [Warming Up New Email Addresses](/email-best-practices/warming-up-new-email-addresses.md).
3. **The content of the message itself.** Spam-trigger words, broken HTML, and overly templated copy all hurt. Our AI-drafted messages avoid the common pitfalls, but a quick scan before you send is worth it.

You may have seen other tools upsell "inbox rotation" or aggressive "warm-up" services. Those are gimmicks for tools that send poorly-authenticated mail at scale. If your authentication is correct and your copy isn't spammy, you don't need them.

For the full deliverability checklist, see [https://github.com/mana-labs/hyperscale-frontend/blob/gitbook/gitbook-docs/email-best-practices/README.md](https://github.com/mana-labs/hyperscale-frontend/blob/gitbook/gitbook-docs/email-best-practices/README.md "mention").


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