Once your account is active, the first thing you should do is connect your domain so DMARC/eye can start collecting and analyzing DMARC reports.
The process is quick and requires only basic access to your domain’s DNS settings.
Step-by-step: How to add a domain
Go to your “Domains”
Click the “New Domain” button
Enter your domain name (e.g. yourcompany.com)
Follow the guided instructions for DNS setup
You’ll receive custom DNS records to copy
These include DMARC, and optionally SPF and DKIM if needed
Add those records to your domain’s DNS via your provider (e.g. Cloudflare, GoDaddy, etc.)
Setting up the DMARC record
Log in to your DNS provider (e.g. Cloudflare, GoDaddy, Namecheap, etc.)
Create a new DNS record with these parameters:
Type: TXT
Host/Name: _dmarc
Value: (copy the code provided in your DMARC/eye dashboard)
Do not use a CNAME — it is not valid and will cause errors (as shown in the warning on your screenshot).
Example record from your dashboard
v=DMARC1; p=none; rua=mailto:nwyg5cle@rua.dmarceye.com; fo=1; ri=86400;
The above string should go into the Value field of the _dmarc TXT record.
You can copy it directly from the setup section in the app.
When will I start seeing data?
Data usually starts coming in within 24 to 48 hours, depending on mail traffic and DNS propagation
You’ll begin to see authentication reports and insights in the Dashboard section
Important notes
Each domain you add uses one domain slot
Even if a domain is misconfigured or doesn’t send email, it still counts as billable once added
You can replace or remove domains later — see Adding or removing domains
What if my domain shows “Not Activated”?
If your domain still shows a red dot or “Invalid DNS Record Type”:
Double-check that the record is of type TXT (not CNAME)
Make sure there are no typos in _dmarc or the value string
Use the “Copy to clipboard” button to avoid formatting issues
What’s next?
Once your domain is activated:
You’ll start seeing DMARC data in your dashboard within 24–48h
You can then explore authentication results, failures, and AI recommendations