Emailexpert uses Salesforce MC for marketing email and Amazon SES for transactional/notifications. We've also observed sends via 3 other providers: Customer.io, Braze, Klaviyo. Their email authentication setup is solid (score 85/100). We've recorded 1 ESP change since first observing this brand.
Amazon SESNon-ESP tools detected in this brand's emails. Independent of who sends — a brand can use any combination.
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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 3 emails we've observed. DMARC policy is read live from DNS.
DMARC reports sent to EasyDMARC. Policy
p=reject means receivers actively block or quarantine spoofed mail.
SPF alignment: all 14 observed emails use a return-path aligned with emailexpert.org (crm.emailexpert.org). SPF authenticates the visible From — supports DMARC directly.
DKIM alignment: all 22 observed emails sign with a domain aligned with emailexpert.org (emailexpert.org). DKIM authenticates the visible From — supports DMARC directly.
TLS: modern — 83% TLS 1.3 (across 6 sends).
Delivery (last 7 days): 67% under 10 seconds, 0% over 1 minute (across 3 sends).
Brands often use multiple ESPs (e.g. one for marketing, another for transactional/notifications).
Customer.io 2 Braze 1 Klaviyo 1ESPs 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.
No additional ESPs authorized in the brand's SPF beyond the confirmed senders above.
Probed: emailexpert.org, crm.emailexpert.org
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 | 18 | 90.0% |
| promotions | 2 | 10.0% |
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 % |
|---|---|---|---|---|---|
| Amazon SES | 12 | 83.3% | 16.7% | 0.0% | |
| Braze | 1 | 100.0% | 0.0% | 0.0% | |
| Customer.io | 2 | 100.0% | 0.0% | 0.0% | |
| Klaviyo | 1 | 100.0% | 0.0% | 0.0% | |
| Salesforce MC | 3 | 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 emailexpert.org has been observed sending from, and where their mail landed in Gmail.
| Domain | ESPs detected | Delivery (7d) |
|---|---|---|
emailexpert.org | Amazon SES 15 Salesforce MC 4 Customer.io 2 Braze 1 Klaviyo 1 |