Nib uses Salesforce MC for marketing email and Amazon SES for transactional/notifications. They rank #195,277 in the Tranco list of most-popular domains. We've also observed sends via Mailchimp. Email goes out from 2 different subdomains. Their email authentication setup is solid (score 88/100). Missing: DMARC enforcement. We've recorded 1 ESP change since first observing this brand.
Authentication signals observed in this brand's emails. SPF, DKIM and DMARC are the standard sender-authentication stack — see the DMARC policy below for whether spoofing is actually blocked or just monitored. One-click unsubscribe meets Google & Yahoo's bulk-sender requirements.
SPF / DKIM / DMARC above reflect the last 2 emails we've observed. DMARC policy is read live from DNS.
DMARC reports sent to nib.com.au. Policy
p=none is monitor-only — receivers won't act on spoofing yet.
SPF alignment: 50% of observed emails use an aligned return-path (bounce.aus.nib.com.au); the rest use third-party paths (mandrillapp.com, ap-southeast-2.amazonses.com) where DMARC has to rely on DKIM alignment.
DKIM alignment: all 15 observed emails sign with a domain aligned with nib.com.au (nib.com.au, aus.nib.com.au). DKIM authenticates the visible From — supports DMARC directly.
Delivery (last 7 days): 50% under 10 seconds, 0% over 1 minute (across 2 sends).
Brands often use multiple ESPs (e.g. one for marketing, another for transactional/notifications).
Mailchimp 7ESPs we've seen sending email for this brand. Green = confirmed by SPF, sender IP rDNS, or known infra pairing (label shows the source). Grey = observed but not yet confirmed by SPF or PTR.
ESPs this brand has authorized in their SPF record. We confirm them with a green ✓ only after seeing recurring use (3+ emails across 2+ days). Until then they stay here — either we haven't observed any email yet, or we've seen a handful but not enough to call them a regular sender for the brand.
Probed: nib.com.au, bounce.aus.nib.com.au, mandrillapp.com, ap-southeast-2.amazonses.com, aus.nib.com.au
Folder distribution across all emails from this brand observed in Gmail inboxes. High inbox % = good deliverability; spam appearances are the headline signal.
| Folder | Count | Share |
|---|---|---|
| inbox | 16 | 100.0% |
Which ESP's emails are landing where. Sorted by spam % so problem senders surface first. Brands using one ESP for marketing and another for transactional often see very different placement profiles per ESP. Per-ESP folder data only started being captured recently — counts here may be smaller than the total above until backfill catches up.
| ESP | Emails | Placement | Inbox % | Tabs % | Spam % |
|---|---|---|---|---|---|
| Salesforce MC | 8 | 100.0% | 0.0% | 0.0% | |
| Amazon SES | 1 | 100.0% | 0.0% | 0.0% | |
| Mailchimp | 7 | 100.0% | 0.0% | 0.0% |
Daily observations per ESP. Brands often run multiple ESPs concurrently — marketing on one, transactional on another — so this chart shows usage rather than switches.
IP addresses nib.com.au has been observed sending from, and where their mail landed in Gmail.
| Domain | ESPs detected | Delivery (7d) |
|---|---|---|
aus.nib.com.au | Salesforce MC 8 | |
nib.com.au | Mailchimp 7 Amazon SES 1 |