664 010
Domains with MX
628 104
Domains with SPF
465 602
Domains with DMARC
47.42%
DMARC enforced

What you're looking at. Headline numbers for the analysed Tranco snapshot: how many domains publish each kind of email-related DNS record, and what share of DMARC publishers actually enforce their policy (quarantine/reject). Higher MX vs SPF gap = more domains receive mail than authorise sending; higher SPF vs DMARC gap = SPF adopted but no policy/feedback enforcement yet.

Key findings — 2026-08-02

Each statement is recomputed daily from the full dataset and published under CC BY 4.0 — reuse it, cite "Live Direct Marketing, Email infrastructure of the Tranco top-1M" with a link. Machine-readable version: api/latest.json · llms.txt. Looking for one domain? Domain lookup — mailbox provider, ESPs and DMARC policy of any top-10k website.

Classification coverage — what the dictionaries explain

66.00%
MX attributed to a vendor
11.24%
MX unresolved / generic
82.64%
SPF include targets classified
80 558
Unique unknown SPF targets

Coverage is recomputed from every snapshot. MX vendor attribution excludes self-hosted domains (22.76%); SPF coverage counts each distinct include:/redirect= target once per domain. Fully classified SPF stacks: 72.25% of domains that delegate through at least one include.

Trend — last 30 day(s) · KPIs

Top mailbox providers

What this block shows. Where each domain hosts incoming mail — derived from its primary MX record (lowest mx_preference). This is the receiving side of email: Google Workspace, Microsoft 365, Zoho, on-prem Exchange, etc. "Generic / unmatched" buckets are common mail.* / mx*.* hostnames we couldn't attribute to a specific provider; "Unknown / Other" is everything else. Note: Cloudflare Email Routing also appears in the ESP table below — that is the same service observed through two different record types (MX here, SPF there), not a double count of domains.

#Mailbox providerDomainsShare of MX-having domains
1Self-Hosted →151 14822.76%
2Google Workspace →144 76921.80%
3Microsoft 365 →112 48816.94%
4Unknown / Other →44 8596.76%
5Generic / unmatched (mx*.*) →16 9822.56%
6Proofpoint →12 8611.94%
7Generic / unmatched (mail.*) →11 7521.77%
8Yandex 360 →11 1621.68%
9Cloudflare Email Routing →10 9561.65%
10Mimecast →10 2381.54%
Show rows 11 – 30
#Mailbox providerDomainsShare of MX-having domains
11Hostinger →7 5471.14%
12Zoho Mail →6 7751.02%
13Namecheap Email Forwarding →6 5930.99%
14QQ Mail (Tencent) →5 6330.85%
15GoDaddy →5 0130.75%
16OVH Mail →4 7800.72%
17Amazon WorkMail →4 6580.70%
181&1 IONOS →4 1970.63%
19Mail.ru for Business →3 6360.55%
20Barracuda →3 5470.53%
21Proofpoint Essentials →2 9160.44%
22Jellyfish (Namecheap) →2 6640.40%
23SpamExperts (SolarWinds) →2 6610.40%
24Cisco IronPort →2 6050.39%
25Beget (RU) →2 4800.37%
26Mailgun (inbound) →2 2860.34%
27Rackspace Email →2 2370.34%
28Alibaba Mail (China) →2 1210.32%
29Zoho Mail (EU) →1 8160.27%
30ProtonMail →1 7280.26%
🏠 Open Providers portfolio → cards with country, blurb, sparkline & TLD breakdown — click any provider name above to drill into a detail page

Trend — last 30 day(s) · Top mailbox providers

Long-tail / Unknown MX — the rest of the internet

What this block shows. The slice of domains whose mailbox cannot be attributed to a named provider — regional hosters, self-built Postfix/Exim, corporate gateways, niche ESPs. Researchers ask for this specifically because it captures the deliverability reality outside the Google / Microsoft monoculture. The detailed report drills down into Top-1000 most common unmatched hosts, 100 hand-picked curiosities (longest one-off names) and a TLD breakdown.

Unknown / Generic share
11.24%
74 623 domains
Unique unmatched MX hosts
36 750
individual hostnames in the long tail
Self-hosted
22.76%
151 148 domains running their own MX
📋 Open detailed long-tail report →·⬇ Download top-1000 unmatched MX (CSV)·⬇ Download 100 curiosities (CSV)

Authentication by Tranco tier

The same metrics cut by list position. Enforcement is a function of how big the site is: the gradient from the top of the list to the tail is the finding, not the average. "Not in current list" = domains measured in this snapshot that are absent from today's Tranco file (list rotation).

#TierDomains with MXSPFDMARC enforcedSelf-hosted
1Tranco top-1k69493.66%73.05%11.67%
2top-1k … 10k6 51392.89%56.53%14.28%
3top-10k … 100k64 76391.19%43.47%17.61%
4top-100k … 1M474 63789.93%30.07%22.73%
5not in current list117 40387.48%19.45%26.27%

Top ESPs / mass-mailing services

What this block shows. Outbound mass-mailing platforms each domain authorises in its SPF record — the marketing-automation, transactional-email and customer-engagement layer (SendGrid, Mailchimp, Mailgun, Klaviyo, HubSpot, Salesforce Marketing Cloud, etc.). One domain can use several ESPs, so percentages sum to more than 100% of SPF-publishing domains.

#ESPDomainsShare of SPF-publishing domains
1Amazon SES →38 9586.20%
2SendGrid (Twilio) →29 8434.75%
3Mailgun →25 7384.10%
4Zendesk →24 0603.83%
5Mailchimp →23 2103.70%
6Mandrill →21 0893.36%
7HubSpot →20 0593.19%
8Salesforce →16 5202.63%
9Mailjet (Sinch) →13 3802.13%
10Cloudflare Email Routing →11 5641.84%
Show rows 11 – 30
#ESPDomainsShare of SPF-publishing domains
11Brevo (ex-Sendinblue) →9 1101.45%
12Mimecast →8 9631.43%
13MailerSend →8 1021.29%
14Namecheap Forwarding →6 8781.10%
15MailChannels →6 6591.06%
16Proofpoint →5 9600.95%
17Elastic Email →4 4450.71%
18Unisender (RU) →3 7100.59%
19Constant Contact →3 6800.59%
20Campaign Monitor →3 5550.57%
21Marketo (Adobe) →3 3060.53%
22Zoho Campaigns →3 2610.52%
23Emsd1 (transactional) →3 0190.48%
24Postmark →2 9700.47%
25SendPulse →2 9080.46%
26Exclaimer (signatures) →2 7190.43%
27Zoho ZeptoMail →2 6700.43%
28SparkPost →2 6450.42%
29Help Scout →2 3060.37%
30Salesforce Marketing Cloud →2 2040.35%
📮 Open Mailing services portfolio → all detected ESPs with descriptions, country, sparklines — click any ESP above to drill into a detail page

Trend — last 30 day(s) · Top ESPs

SaaS senders (Notion, Slack, Zendesk, Atlassian, Stripe…)

What this block shows. SaaS apps that send mail FROM a customer's domain on the customer's behalf — productivity, support, payments, HR, e-commerce and other business apps appearing as include: targets in the customer's SPF. Distinct from ESPs (mass-mailing platforms) and mailbox providers (where the inbox lives).

#SaaS appDomainsShare of SPF-publishing domains
1Shopify →5 3980.86%
2Pardot (Salesforce) →4 9680.79%
3CodeTwo Email Signatures 365 →4 5070.72%
4KnowBe4 →3 5510.57%
5Statuspage (Atlassian) →2 0980.33%
6Trustpilot →1 8920.30%
7Firebase (Google) →1 8400.29%
8Atlassian (Jira/Confluence) →1 8330.29%
9BigCommerce →1 6020.26%
10Lark / Feishu →1 3040.21%
Show rows 11 – 30
#SaaS appDomainsShare of SPF-publishing domains
11Sage Intacct →1 1620.19%
12NetSuite (Oracle) →1 1400.18%
13Qualtrics →1 1040.18%
14Oracle Cloud Email →1 0850.17%
15WordPress.com / WP Cloud →9780.16%
16SAP SuccessFactors →9740.16%
17Docebo (LMS) →9390.15%
18Oracle Cloud →8500.14%
19One.com (DK hosting) →8030.13%
20Zoho Books →7140.11%
21AFAS →6740.11%
22Greenhouse →6290.10%
23PayPal Braintree →5820.09%
24ClickDimensions →5800.09%
25UKG / UltiPro →5550.09%
26Autotask (ConnectWise) →4800.08%
27FormAssembly →4650.07%
28TOPdesk →4580.07%
29ConnectWise →4470.07%
30Freshservice (Freshworks) →4370.07%
📧 Open SaaS/ESP senders portfolio → SaaS apps sending FROM customer domains — click any SaaS name above for detail

Trend — last 30 day(s) · Top SaaS senders

DMARC adoption

What this block shows. The policy each DMARC-publishing domain advertises at _dmarc.<domain>: none = monitor only, quarantine = mark as spam on fail, reject = drop on fail, invalid = a syntactically broken record. "Enforced %" treats only quarantine / reject with pct=100 as actually enforcing.

Trend — last 30 day(s) · DMARC enforced %

7d ago▲ +0.31%30d ago▲ +0.38%

Trend — last 30 day(s) · DMARC policies

Does the DMARC record actually do anything?

A three-way split instead of the usual enforced/not-enforced binary. Enforcingp=quarantine or p=reject. Monitoringp=none with a working rua= address: a legitimate rollout phase, someone is reading the reports. Inertp=none with no reporting address at all: the record enforces nothing and reports nowhere.

35.12%
DMARC without reporting address
163 514 domains publish DMARC but receive no aggregate reports
24.66%
Inert records (p=none, no rua)
114 799 domains — the record does nothing at all
36.56%
Reports go to an external vendor only
170 210 domains send every report off-domain

Maturity split of 465 602 DMARC-publishing domains: 49.76% enforcing, 25.54% monitoring, 24.66% inert. Under DMARCbis (RFC 9989/9990/9991) the pct= tag no longer exists, so the same snapshot yields 49.76% enforcing against 47.42% under RFC 7489 — both are published, the RFC 7489 figure keeps the 2016 series continuous. DMARCbis adoption is still marginal: 269 domains (0.06%) publish np=, 69 publish psd=. 953 records carry a rua= tag that parses to no usable address at all.

#DMARC reporting destinationDomainsShare of DMARC publishers
1Self-hosted / Other216 56546.51%
2Cloudflare DMARC27 2455.85%
3Valimail14 4433.10%
4Proofpoint EFD12 7762.74%
5Brevo (ex-Sendinblue)12 3442.65%
6dmarcian10 2072.19%
7Postmark DMARC7 4121.59%
8DMARC Analyzer6 9961.50%
9DMARC Advisor3 1980.69%
10DMARC Digests2 9110.63%
Show rows 11 – 25
#DMARC reporting destinationDomainsShare of DMARC publishers
11PowerDMARC2 5160.54%
12Agari (Fortra)2 3070.50%
13URIports2 1690.47%
14DMARCLY1 9850.43%
15Barracuda1 5670.34%
16Google Workspace9340.20%
17EasyDMARC8340.18%
18MailHardener7290.16%
19Red Sift OnDMARC5700.12%
20Cisco Secure Email4190.09%
21Validity (Return Path)3100.07%
22Microsoft 3652960.06%
23Netcraft2890.06%
24TDMARC2250.05%
25MXToolbox450.01%

Mailbox provider × sending platform

Which sending platforms sit on top of which inbound stack. Cell = domains whose primary MX belongs to that mailbox provider and whose SPF authorises that ESP; the percentage is of that provider's domains. A domain may use several ESPs, so rows do not sum to 100%.

Mailbox providerAmazon SESSendGrid (Twilio)ZendeskMailchimpMailgunHubSpotMandrillSalesforceCloudflare Email RoutingMailjet (Sinch)
Self-Hosted2 721
1.80%
1 472
0.97%
772
0.51%
1 412
0.93%
1 571
1.04%
401
0.27%
1 172
0.78%
384
0.25%
106
0.07%
1 249
0.83%
Google Workspace14 638
10.11%
11 765
8.13%
11 209
7.74%
9 233
6.38%
9 779
6.75%
9 764
6.74%
8 548
5.90%
4 307
2.98%
325
0.22%
3 519
2.43%
Microsoft 3659 761
8.68%
9 362
8.32%
7 015
6.24%
7 497
6.66%
6 391
5.68%
6 555
5.83%
6 650
5.91%
7 216
6.41%
46
0.04%
4 201
3.73%
Proofpoint846
6.58%
685
5.33%
735
5.71%
469
3.65%
337
2.62%
467
3.63%
500
3.89%
1 112
8.65%
1
0.01%
249
1.94%
Yandex 360162
1.45%
40
0.36%
29
0.26%
73
0.65%
208
1.86%
2
0.02%
73
0.65%
1
0.01%
8
0.07%
28
0.25%
Cloudflare Email Routing221
2.02%
77
0.70%
73
0.67%
30
0.27%
134
1.22%
13
0.12%
18
0.16%
6
0.05%
10 724
97.88%
99
0.90%
Mimecast1 028
10.04%
1 068
10.43%
795
7.77%
706
6.90%
547
5.34%
832
8.13%
658
6.43%
1 201
11.73%
0
0.00%
201
1.96%
Hostinger38
0.50%
39
0.52%
9
0.12%
6
0.08%
41
0.54%
3
0.04%
6
0.08%
0
0.00%
8
0.11%
26
0.34%
Zoho Mail390
5.76%
178
2.63%
93
1.37%
122
1.80%
305
4.50%
19
0.28%
103
1.52%
4
0.06%
42
0.62%
104
1.54%
Namecheap Email Forwarding14
0.21%
10
0.15%
5
0.08%
2
0.03%
20
0.30%
0
0.00%
7
0.11%
0
0.00%
3
0.05%
9
0.14%

Top 100 most-used DMARC records (verbatim)

The literal record string copied verbatim from DNS — useful to spot copy-pasted "starter" policies and identify reporting endpoints (the rua= / ruf= tags) shared across many domains.

#DMARC recordDomains
1v=DMARC1; p=none;57 787
2v=DMARC1; p=none32 297
3v=DMARC1; p=none; rua=mailto:rua@dmarc.brevo.com9 001
4v=DMARC1; p=quarantine;5 048
5v=DMARC1; p=quarantine4 039
6v=DMARC1; p=reject;3 902
7v=DMARC1;p=none;3 758
8v=DMARC1; p=quarantine; adkim=r; aspf=r; rua=mailto:dmarc_rua@onsecureserver.net;3 497
9v=DMARC1; p=reject; fo=1; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com3 179
10v=DMARC1; p=quarantine; adkim=s; aspf=s3 014
11v=DMARC1; p=reject2 898
12v=DMARC1; p=reject; sp=reject; rua=mailto:dmarc.report@axa.com;2 544
13v=DMARC1; p=none; aspf=r; adkim=r;2 366
14v=DMARC1; p=quarantine; pct=1002 340
15v=DMARC1; p=reject; sp=reject; adkim=s; aspf=s;2 149
16v=DMARC1; p=none; sp=none; rua=mailto:dmarc@mailinblue.com!10m; ruf=mailto:dmarc@mailinblue.com!10m; rf=afrf; pct=100; ri=864002 087
17v=DMARC1;p=none1 787
18v=DMARC1; p=none; aspf=r; sp=none1 780
19v=DMARC1; p=none; adkim=r; aspf=r;1 517
20v=DMARC1; p=reject; fo=1; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com;1 500
21v=DMARC1;p=reject;1 286
22v=DMARC1; p=reject; rua=mailto:dmarc_agg@vali.email1 269
23v=DMARC1; p=none; rua=mailto:dmarc_agg@vali.email1 269
24v=DMARC1;p=quarantine;pct=100;fo=11 257
25v=DMARC1;p=none;sp=none;adkim=r;aspf=r;pct=100;fo=0;rf=afrf;ri=864001 222
Show rows 26 – 100
#DMARC recordDomains
26v=DMARC1; p=none; sp=none1 042
27v=DMARC1; p=none; sp=none;1 018
28v=DMARC1; p=none; rua=mailto:dmarc_agg@vali.email;968
29v=DMARC1; p=reject; adkim=r; aspf=r; rua=mailto:dmarc_rua@onsecureserver.net;949
30v=DMARC1; p=reject; rua=mailto:report@dmarc.amazon.com; ruf=mailto:report@dmarc.amazon.com896
31v=DMARC1; p=reject; fo=1; ri=3600; rua=mailto:ewai10d2@ag.eu.dmarcian.com; ruf=mailto:ewai10d2@fr.eu.dmarcian.com893
32v=DMARC1; p=none; fo=1; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com884
33v=DMARC1; p=reject; sp=reject; adkim=s; aspf=s824
34v=DMARC1; p=quarantine; rua=mailto:dmarc_agg@vali.email760
35v=DMARC1; p=none; pct=100740
36v=DMARC1; p=reject; pct=100734
37v=DMARC1; p=quarantine; fo=1; ruf=mailto:dmarc@qiye.163.com; rua=mailto:dmarc_report@qiye.163.com726
38v=DMARC1;p=quarantine;sp=none;adkim=r;aspf=r;pct=100;fo=0;rf=afrf;ri=86400690
39v=DMARC1; p=none; fo=1; ruf=mailto:dmarc@qiye.163.com; rua=mailto:dmarc_report@qiye.163.com668
40v=DMARC1; p=reject; rua=mailto:dmarc_rua@onsecureserver.net; adkim=r; aspf=r;652
41v=DMARC1; p=reject; rua=mailto:mailauth-reports@google.com614
42v=DMARC1; p=quarantine; pct=100;553
43v=DMARC1; p=none; sp=none; rf=afrf; pct=100; ri=86400553
44v=DMARC1; p=quarantine; rua=mailto:dmarc_agg@vali.email;526
45v=DMARC1;p=quarantine525
46v=DMARC1; p=none; rua=mailto:mailauth-reports@qq.com520
47v=DMARC1; p=reject; pct=100;466
48v=DMARC1; p=reject; rua=mailto:dmarc_agg@vali.email;450
49v=DMARC1;p=reject;sp=reject;adkim=s;aspf=s449
50v=DMARC1; p=none; adkim=r; aspf=r388
51v=DMARC1; p=none; sp=none; adkim=r; aspf=r385
52v=DMARC1; p=none; pct=100;362
53v=DMARC1; p=reject; adkim=s; aspf=s;356
54v=DMARC1; p=reject; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com; fo=1351
55v=DMARC1; p=reject; adkim=s; aspf=s331
56v=DMARC1;p=reject325
57v=DMARC1321
58v=DMARC1;p=reject;fo=1;rua=mailto:dmarc_rua@emaildefense.proofpoint.com;ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com318
59v=DMARC1;p=quarantine;312
60v=DMARC1; p=reject; sp=none; rf=afrf; pct=100; ri=86400311
61v=DMARC1; p=none; fo=1; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com;308
62v=DMARC1; p=none; fo=1301
63v=DMARC1; p=none; aspf=r; adkim=r299
64v=DMARC1; p=none; rua=mailto:dmarc@smtp.mailtrap.live; ruf=mailto:dmarc@smtp.mailtrap.live; rf=afrf; pct=100293
65v=DMARC1; p=reject; rua=mailto:tnoff9hr@ag.eu.dmarcadvisor.com; aspf=s; adkim=s;277
66v=DMARC1; p=reject; sp=reject; pct=100; fo=1; ri=3600; rua=mailto:dmarcrecord@gmail.com; ruf=mailto:dmarcrecord@gmail.com;276
67v=DMARC1;p=none;sp=none;pct=50;adkim=r;aspf=r;272
68v=DMARC1; p=none; rua=mailto:mailauth-reports@google.com270
69v=DMARC1;p=reject;sp=none;adkim=r;aspf=r;pct=100;fo=0;rf=afrf;ri=86400263
70v=DMARC1; p=reject; rua=mailto:zsrbf6su@ag.eu.dmarcadvisor.com;262
71v=DMARC1;p=none;pct=100262
72v=DMARC1; p=quarantine; rua=mailto:rua@dmarc.brevo.com255
73v=DMARC1;p=none;rua=mailto:dmarc_report@service.aliyun.com251
74v=DMARC1; p=reject; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com;fo=1250
75v=DMARC1; p=quarantine; adkim=s; aspf=s;235
76v=DMARC1; p=none; rua=mailto:rua-mpse@mpub.ne.jp230
77v=DMARC1; p=quarantine; adkim=r; aspf=r229
78v=DMARC1; p=reject; rua=mailto:2ynhg3yt@ag.dmarcian.com207
79v=DMARC1; p=reject; rua=mailto:zicaptxt@ag.dmarcian.com;205
80v=DMARC1; p=none; rua=mailto:dmarc.rua@edrone.app; ruf=mailto:dmarc.ruf@edrone.app204
81v=DMARC1; p=quarantine; fo=1; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com203
82v=DMARC1; p=reject; fo=1; ri=3600; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com202
83v=DMARC1; p=none; rua=mailto:dmarc@reporting.unisender.com201
84v=DMARC1; p=none; sp=none; rua=mailto:dmarc-raports@dhosting.pl198
85v=DMARC1; p=reject; rua=mailto:dmarc_rua@onsecureserver.net;197
86v=DMARC1; p=reject; sp=reject189
87v=DMARC1;p=none;rua=mailto:rua@dmarc.brevo.com188
88v=DMARC1; p=quarantine; pct=100; adkim=r; aspf=r185
89v=DMARC1; p=quarantine; pct=100; rua=mailto:61e7fc8674b33@ag.eu.dmarcly.com; ruf=mailto:61e7fc8674b33@fo.eu.dmarcly.com; sp=quarantine; fo=1;185
90v=DMARC1; p=quarantine; fo=1; rua=mailto:dmarc_rua@emaildefense.proofpoint.com; ruf=mailto:dmarc_ruf@emaildefense.proofpoint.com;183
91v=DMARC1;p=reject;pct=100;182
92v=DMARC1; p=none; pct=100; rua=mailto:dmarc@fbl.optin.com;180
93v=DMARC1; p=reject; rua=mailto:dmarc.report@axa.com;173
94v=DMARC1;p=none;pct=100;aspf=r;adkim=r;173
95v=DMARC1;p=none;sp=none;adkim=r;aspf=r;pct=100172
96v=DMARC1; p=quarantine; fo=1172
97v=DMARC1; p=reject; sp=reject;167
98v=DMARC1; p=quarantine; sp=quarantine166
99v=DMARC1; p=quarantine; adkim=r; aspf=r;166
100v=DMARC1; p=reject; pct=100; adkim=s; aspf=s163
Is your domain one of them? More than half of DMARC-publishing domains enforce nothing — and most senders only find out from their open rates. Run a free inbox placement test: send a real message to our seed mailboxes at Gmail, Outlook, Yandex and Mail.ru and see where it lands — inbox, spam, or nowhere.
Test your deliverability →

Unmatched MX targets — top 100

What this block shows. The most popular MX hostnames our dictionary does not yet attribute to a named mailbox provider. Public list — these feed back into dictionaries/mx_providers.py for the next iteration so coverage keeps improving.

#MX targetDomains
1mx.services296
2localhost278
3mail243
4zonemx.eu190
5mail.parktons.com179
6mail1.sbnation.com168
7mail.autoline.com.ua148
8mx2.z-ns.net147
9mail2.recop.jp141
10mx.email-messaging.com140
11mx1.ticketsinbound.com132
12mx2.ticketsinbound.com127
13lbmx.bcc.gov.bd126
14mxi.alpha-prm.jp125
15alltheemails.com118
16mx1d10.thinline.cz110
17mx1b20.thinline.cz110
18cloudmail.auto-vision.ru99
19s.mail.dcsaas.net91
20mx.maxns.net87
21mail.pickelhost.com86
22mailforward.dnsv.jp86
23amazon-smtp.amazon.com85
24mx-backup.serveriai.lt85
25mx1-dk.centerasecurity.dk82
Show rows 26 – 100
#MX targetDomains
26mx2-dk.centerasecurity.dk82
27~78
28mx-01.mail-forwarder.io77
29mx.vshosting.eu77
30mx1.netim.net76
31mx2.netim.net76
32mx3-dk.centerasecurity.dk76
33mail-fr.securemail.pro76
34mail.global.frontbridge.com75
35mx-02.mail-forwarder.io75
36mail.vipmailservice.com74
37mx.aams4.jp71
38mx.sendcloud.org70
39q01es.mail.s-web.de70
40q02es.mail.s-web.de70
41r01es.mail.s-web.de70
42r02es.mail.s-web.de70
43email.webglobe.cz69
44email2.webglobe.cz69
45gmail22.gadmail.de69
46gmail23.gadmail.de69
47wmail22.gadmail.de69
48mx6.kvnbw.de69
49mx7.kvnbw.de69
50mx8.kvnbw.de69
51mx9.kvnbw.de69
52mx-0.aams4.jp68
53mx-1.aams4.jp68
54mxa.expediagroup.com68
55mxb.expediagroup.com68
56email3.webglobe.cz68
57email4.webglobe.cz68
58wmail23.gadmail.de68
59void.blackhole.mx67
60mx1.email-cluster.com67
61mx2.email-cluster.com67
62townsites.dnsmaster.net66
63antispam.korea.kr66
64smtp-avas.seeweb.it65
65rmail22.gadmail.de65
66rmail23.gadmail.de65
67mx.spamfilter.io64
68mx1.daouoffice.com64
69failover1.email-cluster.com64
70omail22.gadmail.de64
71omail23.gadmail.de64
72mx01.statens-it.dk63
73mx02.statens-it.dk63
74mx03.statens-it.dk63
75mx04.statens-it.dk63
76mx05.statens-it.dk63
77mx06.statens-it.dk63
78mx07.statens-it.dk63
79mx08.statens-it.dk63
80mx4.emailowl.com62
81mx1.nepal.gov.np62
82mx5.emailowl.com61
83mx2.nepal.gov.np61
84mx1.oderland.com60
85mx2.oderland.com60
86mx6.emailowl.com60
87mail.mpcloud.net60
88smtp.faisco.cn59
89d01es.mail.s-web.de59
90d02es.mail.s-web.de59
91e01es.mail.s-web.de59
92e02es.mail.s-web.de59
93posta.mediacenter.hu58
94posta2.mediacenter.hu58
95posta4.mediacenter.hu58
96posta5.mediacenter.hu58
97mx1.simplelogin.co58
98mx2.simplelogin.co58
99mx.mymailwall.com58
100posta3.mediacenter.hu57

Unmatched SPF includes — top 100

What this block shows. The most popular SPF include: targets that don't match any known ESP, mailbox-as-sender, or SaaS pattern yet. Same feedback loop: top hits get added to dictionaries/esps.py or dictionaries/saas_senders.py.

#SPF includeDomains
1_spf1-aws.recop.jp142
2yunyou.top141
3_spf.edhost.eu123
4spf.pitcom.net114
5spf.mailii.org111
6spf.w4ymail.at111
7_spf.exsilia.net111
8mlrcloud.com109
9_spf.mail-neoserv.si108
10_spf.lh.pl105
11_spf.armada.it105
12_spf.abcp.ru105
13spf.spcloud.jp104
14gateways.firstdata.com104
15spf-2248456.jmsend.com103
16spf.v6send.net103
17spf.mailcamp.nl103
18spf.cesky-hosting.cz102
19spf.mijndomeinhosting.nl101
20_spf.wpopt.net101
21spf.betrend.com101
22spf.boldem.cz100
23fmx.etius.jp100
24spf.ssmx.net99
25dospf.simplepart.com99
Show rows 26 – 100
#SPF includeDomains
26spf.satorimail.net99
27_spf.tld-mx.com98
28relay.thundermail.uk98
29relay.guzelhosting.com98
30amazon.com98
31_spf.simpleviewinc.com97
32_pmta2.antevenio.com97
33_spf.localservices.com.br97
34_spf.presscloud.com96
35_spf.octadesk.com96
36verifymyfafsa.com96
37_spf.academicworks.com96
38spf.protection.outlook95
39_spf.sendnode.com95
40send.k-crm.jp95
41smtp-cluster.plusvps.com95
42spf.aams4.jp95
43spf.symplicity.com94
44mfg.siteprotect.com93
45_spf01.mykronos.com93
46ofsys.com91
47mailing.eqs.com91
48spf.sosafe.de90
49mailii.org90
50spf.emailfilter.io90
51spf.form.run90
52_spf.aid.no90
53spf.qb-feedback.com89
54spfref.jackhenry.com89
55_spf.yourfilter.nl88
56_spf.axa.com88
57spf.chinaemail.cn88
58spf.qboxmail.com88
59eversrv.com87
60spf.redpoints.com87
61sender.zcsend.jp87
62spf.263xmail.com87
63spf.host-ww.net86
64spf86
65mailmailmail.net86
66spf-us.appmail.granicusgovaccess.net86
67ciphr247.com86
68spf.esvacloud.com86
69_spf.sent2email.com86
70spf2.nlk2.smtps.jp86
71spf.w2solution.com86
72_spf.eemsg.mail.mil86
73custmail.vdata.com85
74_spf.herodesk-mails.io84
75spf.shopserve.jp84
76mail.imismailcenter.com83
77_spf.shared-server.net83
78spf-bulk.axa.com82
79spf.filteredmx.net82
80spf.zoner.fi82
81spf.rpost.net82
82_spf.firmstep.com81
83no-ip.com81
84senders.mailmasterplus.net81
85relay.email-cluster.com80
86_spf.saashr.com80
87spf.sabre.com80
88universalspf.org80
89x.universalspf.org80
90spf.mlwrx.com79
91_spf.goskope.com79
92email.nimbleams.com79
93support.gov.sg79
94spf.protect.kvnbw.de78
95eur.pb-dynmktge.com78
96system.spektrix.com78
97_spf.zorgmail.nl78
98successfactors.eu78
99_spf.postaffiliatepro.com78
100spf.icontroller.eu77

Methodology — how the numbers were produced

1. Data source

The dataset is the daily OpenINTEL forward-DNS Tranco snapshot (University of Twente / SURFnet / SIDN Labs). OpenINTEL queries the entire Tranco top-1M domain list daily for MX, TXT, NS, A, AAAA, SOA, CAA, DNSSEC and other records, publishing the results as Apache Parquet. For pre-2022 history we additionally use OpenINTEL's alexa source (the legacy Alexa top-1M list, retired 2023).

Cite: Roland van Rijswijk-Deij et al., "A High-Performance, Scalable Infrastructure for Large-Scale Active DNS Measurements", IEEE JSAC 2016.

1b. Where the rest of the analysis lives

Six deep-dive pages are rebuilt by the same daily run and were previously reachable only through the sitemap: SPF health (final all qualifier, DNS-lookup limit, record length) · Email security posture (MTA-STS, BIMI, TLS-RPT, DKIM selectors) · SaaS via verification tokens · DNS/NS providers · Country × ESP · Infrastructure & TLS.

2. Sample & cadence

Each report covers a single date — OpenINTEL publishes snapshot D on D+1, so the current UTC date is never treated as an expected snapshot. Freshness means matching the latest date actually present in the OpenINTEL catalogue, typically ~700 k domains with MX records and ~620 k with SPF. The pipeline runs daily at 03:00 UTC, after the usual source-publication window; each daily run produces an HTML report, a JSON summary, an updated time-series, and incremental updates to the domain registry (§ 12). No sub-sampling.

3. Mailbox provider classification

For each domain we read its MX RRset and pick the record with the lowest mx_preference as the primary mailbox host. The hostname of that primary MX is matched against an open regex dictionary (dictionaries/mx_providers.py, currently 328 patterns, hash below). Specific patterns (e.g. .mail.protection.outlook.com) are tried first; generic fallbacks (mail.*, mx*.*) only after. Domains whose MX matches no rule are kept as "Unknown / Other" — never dropped — and exported in Unmatched MX targets for dictionary improvement.

4. ESP / SaaS / forwarder / gateway classification (SPF-based)

For each domain's apex SPF record (TXT starting with v=spf1) we extract every include: and redirect= target and resolve them against open classification dictionaries (ESPs, mailbox-as-sender, anti-spam gateways, forwarders, SaaS senders, DMARC vendors, NS providers, verification tokens).

Resolution order: PURE_ESP → MAILBOX_AS_SENDER → GATEWAYS → FORWARDERS → bare-apex substring fallback → SAAS_SENDERS substring iteration. Bare-apex derivation strips leading _spf., _spf-eu., spf., mail. prefixes from dict keys to catch subdomain variants (e.g. _spf.m1.websupport.sk → matches websupport.sk). Malformed includes (no dot, <4 chars) are filtered.

One domain may use several ESPs simultaneously, so ESP shares sum to more than 100% of SPF-publishing domains. Current SPF-include target coverage: 82.64%, recomputed from this snapshot rather than hard-coded.

Limitation: "flattened" SPF (where include chains were replaced with raw IP ranges to fit the 10-lookup limit) is not detectable from DNS alone — those domains appear ESP-less even when an ESP is in fact used.

5. DMARC (deep)

For each domain we query the _dmarc.<domain> TXT record. Records starting with v=DMARC1 are parsed for:

  • p= (apex policy): none / quarantine / reject / invalid
  • sp= (subdomain policy)
  • pct= (rollout percentage)
  • rua= aggregate-report destinations → classified into vendor buckets (Postmark DMARC, Valimail, dmarcian, URIports, EasyDMARC, Red Sift, Proofpoint EFD, Agari/Fortra, …) using dictionaries/dmarc_vendors.py

A domain is counted as enforced if p=quarantine or p=reject with pct=100 (or pct absent — defaults to 100).

6. SPF mechanics & health

For every SPF record we additionally extract:

  • Final qualifier on the all mechanism: -all (hard fail), ~all (soft fail), ?all (neutral), +all (pass-everything — broken / dangerous), or missing
  • DNS lookup count (include:, redirect=, a:, mx:, exists:, ptr:) — each mechanism counts as 1 against the spec limit of 10. Records exceeding the limit return PermErr at recipients
  • Mechanism mix: include-only (modern), raw IP4/IP6 ranges only (legacy/flattened), mixed
  • Record byte length: percentiles to flag fragmentation risk (>450 B)

7. Email security maturity

Adoption of modern mail-security TXT records, parsed from the same OpenINTEL parquet:

  • MTA-STS: TXT at _mta-sts.<domain> with v=STSv1 — domain advertises required-TLS to its MX
  • BIMI: TXT at default._bimi.<domain> with v=BIMI1 — brand publishes a verified logo (requires p=reject)
  • TLS-RPT (SMTP TLS Reporting): TXT at _smtp._tls.<domain> with v=TLSRPTv1 — domain monitors TLS-failure reports
  • DKIM selectors: where the OpenINTEL scan includes *._domainkey.<domain> queries, well-known selectors (google, selector1/2, s1/s2, k1/k2/k3, mailo, mte1, …) are mapped to issuing ESPs

8. DNS provider classification

For each domain's NS RRset, every NS hostname is matched against a suffix dictionary (dictionaries/ns_providers.py) with patterns for Cloudflare, AWS Route 53, Azure DNS, Google Cloud DNS, GoDaddy, Akamai, NS1, UltraDNS, Yandex, DNSPod, Aliyun, OVH, Hetzner, Gandi, registrars, and others. A domain is assigned to its dominant NS provider; ties resolve to whichever pattern was matched first.

9. SaaS-via-verification-tokens

Many SaaS apps a domain is connected to never appear in SPF (because the SaaS doesn't send mail FROM the customer domain). To recover this signal we parse apex TXT records for verification tokens — google-site-verification=…, MS=…, atlassian-domain-verification=…, stripe-verification=…, plus 149 other patterns in dictionaries/verification_tokens.py. This produces a complementary "SaaS density" metric and surfaces apps that the SPF-only view misses.

10. Email infrastructure modernity

Three additional TLS / IPv6 metrics:

  • IPv6-on-MX: MX hostname has at least one AAAA record
  • DANE / TLSA on MX: TLSA record at _25._tcp.<mx_host> (where the parquet includes TLSA queries)
  • CAA: any 0 issue … / 0 issuewild … record at apex; CAs aggregated into a market-share view (Let's Encrypt, DigiCert, Sectigo, …)

11. Cross-tabulations

  • Country × ESP heatmap: top-15 ccTLDs × top-15 ESPs, cell = % of country's SPF-publishing domains using ESP X. Surfaces regional ESP champions (Brevo / FR, Unisender / RU, MailerLite / LT, Akna / BR, Shoptet / CZ).
  • Mailbox × ESP combinations: stacked frequency of common stack pairings — published as Mailbox provider × sending platform.

12. Domain registry & identifiers

Every domain ever observed across snapshots is assigned a stable integer ID in /var/openintel-cache/registry/domains.sqlite3 (currently 1 882 932 domains). Reports reference domains by ID rather than embedding strings; clients resolve names from a single gzipped registry dump (/email-stats/domains.csv.gz, 21.3 MB). This keeps per-report payloads compact, enables fast set-operation diffs across snapshots, and gives every domain a first-seen / last-seen timestamp.

13. Daily change-alerts feed

Each daily run computes a domain-level diff vs the previous scan and emits a change-feed at /email-stats/alerts.html (also as JSON + Atom). Detected events: ESP added/removed in SPF, DMARC policy upgrade/downgrade, primary-mailbox-provider change, SPF strict→soft regression, MTA-STS / BIMI first publication. Severity tag is good / bad / info.

14. Per-entity detail pages

The top-100 ESPs, top-100 SaaS senders and top-80 mailbox providers each have a dedicated detail page at /email-stats/detail/<kind>/<slug>.html showing KPI cards, a Chart.js sparkline (from history.json), TLD distribution and a sample of customer domains.

15. Tier breakdown

Each domain is assigned a tier from its Tranco rank: top-1k / top-10k / top-100k / top-1M, plus unranked for domains measured in the snapshot but absent from the current list file (rotation). Published as Authentication by Tranco tier: SPF, DMARC enforcement and self-hosting per tier.

16. Reproducibility & data hygiene

Dictionary hashes for this run (sha256, first 12 hex):

  • compliance.py76d502287abe
  • dmarc_vendors.py8c195eb564fc
  • esps.py0f7a40a1f7d3
  • mx_providers.pyc29c6e1b1f58
  • ns_providers.pycc4f43c6651f
  • providers_meta.py5dc92db7869f
  • saas_meta.pyfe611e6e8a68
  • saas_senders.py1c5ebd9f7c09
  • tld_regions.py61e8bd3dcca8
  • verification_tokens.py6ba8313e55ab

Every published report includes the exact OpenINTEL date, dictionary file hashes, and counts of unmatched MX hosts and SPF includes — so any reader can verify or reproduce the figures. Raw OpenINTEL parquet is downloaded into a temporary cache and deleted after analysis; only aggregated, non-redistributable counts are kept long-term (per OpenINTEL data agreement). The domain registry stores names but no record-level content.

16b. Methodology changelog

Every change to a metric definition is recorded in the methodology changelog and stamped into each history point as methodology_version — so a step in a series can always be attributed to a formula change rather than to reality.

17. Limitations to be aware of

  • Tranco bias. Top-1M skews toward US/EU and global SaaS; ccTLD-only domains with low traffic may be under-represented. The alexa source used for pre-2022 history has a different composition and a different size: the alexa partition of 2022-04-01 contains 1 637 544 measured apex names against 1 087 498 in tranco on 2026-07-24, so absolute counts are not comparable across the 2022-08-11 boundary — only shares within a snapshot are.
  • SPF flattening hides ESP identity (see § 4).
  • CNAME chains on MX (e.g. mail.example.com → mail.example.protection.outlook.com) are not unrolled — only the first MX target is matched. This biases a small share of domains toward "Unknown" when their MX is a CNAME to a known provider.
  • Vanity MX with white-label provider (Mimecast/Proofpoint customers using their own brand) is not detectable from DNS alone.
  • DKIM enumeration is selector-based — only domains whose well-known selectors are scanned by OpenINTEL appear in the DKIM layer.
  • Long-tail unmatched: this snapshot contains 80 558 unique unclassified SPF targets. The count is published as a measured coverage KPI rather than a fixed estimate; many are regional hosters, tenant-specific endpoints, malformed records, or single-domain infrastructure.
  • Newly-added dictionary entries have no historical sparkline until ≥ 2 daily scans accumulate, since archived raw parquet is purged after parsing per the OpenINTEL data agreement.

Comments & corrections

Spotted a mis-classified MX target, missed ESP, or want to discuss a finding? We publish corrections in the next daily snapshot.

Send feedback to support@live-direct-marketing.online

Inline comments coming soon. For now, email is the fastest path — you'll see your fix reflected in tomorrow's run.

Historical reports

Daily snapshots — last 90 days kept fully, older ones thinned to one point per month. Points marked partial are incomplete days at the source and are excluded from deltas and trends.

213 snapshots since 2016-01-22 — open the list
2026-08-02 — 664 010 MX, 628 104 SPF2026-08-01 — 667 030 MX, 630 925 SPF2026-07-31 — 667 040 MX, 630 769 SPF2026-07-30 — 667 152 MX, 630 662 SPF2026-07-29 — 666 778 MX, 630 142 SPF2026-07-28 — 666 803 MX, 630 030 SPF2026-07-27 — 666 750 MX, 629 781 SPF2026-07-26 — 667 887 MX, 630 738 SPF2026-07-25 — 671 693 MX, 634 220 SPF2026-07-24 — 668 195 MX, 626 838 SPF2026-07-23 — 668 612 MX, 627 156 SPF2026-07-22 — 667 580 MX, 626 173 SPF2026-07-21 — 667 464 MX, 626 022 SPF2026-07-20 — 668 961 MX, 627 463 SPF2026-07-19 — 659 183 MX, 618 199 SPF2026-07-18 — 659 259 MX, 618 271 SPF2026-07-17 — 659 253 MX, 618 231 SPF2026-07-16 — 659 459 MX, 618 470 SPF2026-07-15 — 659 420 MX, 618 461 SPF2026-07-14 — 659 112 MX, 618 197 SPF2026-07-13 — 658 711 MX, 617 702 SPF2026-07-12 — 658 108 MX, 617 244 SPF2026-07-11 — 657 701 MX, 616 967 SPF2026-07-10 — 657 207 MX, 616 333 SPF2026-07-09 — 657 304 MX, 616 494 SPF2026-07-08 — 656 808 MX, 615 969 SPF2026-07-07 — 655 988 MX, 615 231 SPF2026-07-06 — 655 261 MX, 614 575 SPF2026-07-05 — 654 926 MX, 614 272 SPF2026-07-04 — 665 047 MX, 623 765 SPF2026-07-03 — 664 686 MX, 623 266 SPF2026-07-02 — 664 961 MX, 623 597 SPF2026-07-01 — 664 715 MX, 623 370 SPF2026-06-30 — 665 299 MX, 624 066 SPF2026-06-29 — 671 597 MX, 630 016 SPF2026-06-28 — 667 370 MX, 626 001 SPF2026-06-27 — 666 220 MX, 624 986 SPF2026-06-26 — 666 177 MX, 624 950 SPF2026-06-25 — 665 951 MX, 624 772 SPF2026-06-24 — 665 655 MX, 624 551 SPF2026-06-23 — 665 823 MX, 624 757 SPF2026-06-22 — 665 950 MX, 625 047 SPF2026-06-21 — 667 342 MX, 626 553 SPF2026-06-20 — 669 301 MX, 628 455 SPF2026-06-19 — 661 817 MX, 621 795 SPF2026-06-18 — 661 882 MX, 622 049 SPF2026-06-17 — 661 091 MX, 621 709 SPF2026-06-16 — 660 933 MX, 621 836 SPF2026-06-15 — 662 137 MX, 623 017 SPF2026-06-14 — 650 734 MX, 612 415 SPF2026-06-13 — 650 753 MX, 612 354 SPF2026-06-12 — 651 025 MX, 612 617 SPF2026-06-11 — 651 209 MX, 612 707 SPF2026-06-10 — 651 319 MX, 612 713 SPF2026-06-09 — 650 861 MX, 612 459 SPF2026-06-08 — 650 013 MX, 611 648 SPF2026-06-07 — 649 787 MX, 611 420 SPF2026-06-06 — 658 426 MX, 619 451 SPF2026-06-05 — 659 595 MX, 620 522 SPF2026-06-04 — 660 158 MX, 620 940 SPF2026-06-03 — 660 101 MX, 620 354 SPF2026-06-02 — 660 335 MX, 620 446 SPF2026-06-01 — 662 428 MX, 622 222 SPF2026-05-31 — 667 641 MX, 626 984 SPF2026-05-30 — 663 036 MX, 622 559 SPF2026-05-29 — 663 271 MX, 622 553 SPF2026-05-28 — 663 075 MX, 622 229 SPF2026-05-27 — 663 040 MX, 621 877 SPF2026-05-23 — 660 587 MX, 620 034 SPF2026-05-22 — 657 556 MX, 617 016 SPF2026-05-21 — 659 930 MX, 619 421 SPF2026-05-20 — 659 568 MX, 618 994 SPF2026-05-19 — 661 300 MX, 620 621 SPF2026-05-18 — 653 826 MX, 613 816 SPF2026-05-17 — 652 834 MX, 613 060 SPF2026-05-16 — 653 289 MX, 613 507 SPF2026-05-15 — 653 883 MX, 614 025 SPF2026-05-14 — 654 606 MX, 614 742 SPF2026-05-13 — 654 450 MX, 614 641 SPF2026-05-12 — 654 613 MX, 614 806 SPF2026-05-11 — 654 275 MX, 614 529 SPF2026-05-10 — 654 198 MX, 614 496 SPF2026-05-09 — 654 965 MX, 615 249 SPF2026-05-08 — 664 721 MX, 624 279 SPF2026-05-07 — 662 493 MX, 622 130 SPF2026-05-06 — 661 868 MX, 621 451 SPF2026-05-05 — 662 628 MX, 622 150 SPF2026-05-04 — 662 839 MX, 622 414 SPF2026-04-30 — 665 325 MX, 624 448 SPF2026-04-27 — 665 219 MX, 624 507 SPF2026-03-01 — 683 543 MX, 639 798 SPF2026-02-01 — 688 114 MX, 641 985 SPF2026-01-01 — 660 114 MX, 616 352 SPF2025-12-01 — 668 692 MX, 622 313 SPF2025-11-01 — 659 524 MX, 613 922 SPF2025-10-01 — 644 366 MX, 599 103 SPF2025-09-01 — 685 366 MX, 635 390 SPF2025-08-01 — 681 988 MX, 632 521 SPF2025-07-01 — 687 700 MX, 638 068 SPF2025-06-01 — 699 879 MX, 648 954 SPF2025-05-01 — 711 257 MX, 659 028 SPF2025-04-01 — 702 306 MX, 651 786 SPF2025-03-01 — 705 611 MX, 653 173 SPF2025-02-01 — 696 358 MX, 644 666 SPF2025-01-01 — 674 214 MX, 626 064 SPF2024-12-01 — 675 247 MX, 626 465 SPF2024-11-01 — 669 912 MX, 614 354 SPF2024-10-01 — 659 879 MX, 603 315 SPF2024-09-01 — 660 693 MX, 604 347 SPF2024-08-01 — 639 733 MX, 586 007 SPF2024-07-02 — 632 526 MX, 578 066 SPF2024-06-01 — 614 961 MX, 562 373 SPF2024-05-01 — 621 817 MX, 566 602 SPF2024-04-01 — 641 948 MX, 582 732 SPF2024-03-01 — 666 638 MX, 601 954 SPF2024-02-01 — 653 497 MX, 588 373 SPF2024-01-01 — 657 371 MX, 586 519 SPF2023-12-01 — 660 455 MX, 588 456 SPF2023-11-01 — 666 944 MX, 591 587 SPF2023-10-01 — 675 039 MX, 597 200 SPF2023-09-01 — 694 895 MX, 612 567 SPF2023-08-01 — 716 729 MX, 622 501 SPF2023-07-01 — 653 321 MX, 565 370 SPF2023-06-01 — 656 260 MX, 561 661 SPF2023-05-01 — 657 236 MX, 561 046 SPF2023-04-01 — 662 162 MX, 562 122 SPF2023-03-01 — 730 155 MX, 620 415 SPF2023-02-01 — 715 023 MX, 602 519 SPF2023-01-01 — 712 767 MX, 599 702 SPF2022-12-01 — 712 641 MX, 594 977 SPF2022-11-01 — 710 891 MX, 590 969 SPF2022-10-01 — 716 152 MX, 594 587 SPF2022-09-01 — 716 956 MX, 595 410 SPF2022-08-11 — 427 823 MX, 354 634 SPF partial2022-07-01 — 968 388 MX, 789 788 SPF alexa2022-06-01 — 1 026 911 MX, 833 170 SPF alexa2022-05-01 — 921 706 MX, 748 398 SPF alexa2022-04-01 — 1 217 939 MX, 976 244 SPF alexa2022-03-01 — 975 521 MX, 779 131 SPF alexa2022-02-01 — 569 414 MX, 464 224 SPF partial alexa2022-01-01 — 552 174 MX, 447 427 SPF partial alexa2021-12-01 — 786 477 MX, 631 833 SPF alexa2021-11-01 — 525 808 MX, 424 311 SPF partial alexa2021-10-01 — 794 460 MX, 633 349 SPF alexa2021-09-01 — 788 407 MX, 628 585 SPF alexa2021-08-01 — 619 384 MX, 493 457 SPF partial alexa2021-07-01 — 728 817 MX, 579 133 SPF alexa2021-06-01 — 660 453 MX, 523 956 SPF alexa2021-05-01 — 788 324 MX, 620 170 SPF alexa2021-04-01 — 792 560 MX, 621 808 SPF alexa2021-03-01 — 646 458 MX, 507 824 SPF alexa2021-02-01 — 430 383 MX, 339 425 SPF partial alexa2021-01-01 — 714 286 MX, 554 817 SPF alexa2020-12-01 — 814 029 MX, 629 118 SPF alexa2020-11-01 — 748 490 MX, 574 865 SPF alexa2020-10-01 — 618 268 MX, 476 027 SPF partial alexa2020-09-01 — 768 508 MX, 586 561 SPF alexa2020-08-01 — 754 330 MX, 572 036 SPF alexa2020-07-01 — 947 188 MX, 717 066 SPF alexa2020-06-01 — 703 956 MX, 531 244 SPF partial alexa2020-05-01 — 965 680 MX, 721 262 SPF alexa2020-04-01 — 859 917 MX, 639 926 SPF alexa2020-03-01 — 780 292 MX, 579 459 SPF alexa2020-02-01 — 947 773 MX, 696 310 SPF alexa2020-01-01 — 565 274 MX, 417 038 SPF partial alexa2019-12-01 — 826 277 MX, 600 095 SPF alexa2019-11-01 — 1 039 570 MX, 747 867 SPF alexa2019-10-01 — 966 667 MX, 692 386 SPF alexa2019-09-01 — 838 362 MX, 594 935 SPF partial alexa2019-08-01 — 1 162 343 MX, 819 141 SPF alexa2019-07-01 — 1 177 952 MX, 806 744 SPF alexa2019-06-01 — 1 205 558 MX, 822 402 SPF alexa2019-05-01 — 1 196 890 MX, 811 837 SPF alexa2019-04-01 — 1 120 142 MX, 752 449 SPF alexa2019-03-01 — 1 170 801 MX, 787 932 SPF alexa2019-02-01 — 1 202 345 MX, 799 255 SPF alexa2019-01-01 — 1 190 206 MX, 783 686 SPF alexa2018-12-01 — 1 196 068 MX, 792 282 SPF alexa2018-11-01 — 1 177 133 MX, 775 137 SPF alexa2018-10-01 — 1 140 868 MX, 743 256 SPF alexa2018-09-01 — 1 183 473 MX, 765 011 SPF alexa2018-08-01 — 1 194 344 MX, 772 448 SPF alexa2018-07-01 — 1 165 617 MX, 745 554 SPF alexa2018-06-01 — 1 193 038 MX, 753 513 SPF alexa2018-05-01 — 1 168 881 MX, 732 275 SPF alexa2018-04-01 — 1 174 598 MX, 730 483 SPF alexa2018-03-01 — 827 056 MX, 516 103 SPF partial alexa2018-02-01 — 1 195 663 MX, 725 044 SPF alexa2018-01-01 — 813 525 MX, 512 876 SPF alexa2017-12-01 — 818 419 MX, 513 903 SPF alexa2017-11-01 — 815 080 MX, 507 477 SPF alexa2017-10-01 — 823 380 MX, 508 173 SPF alexa2017-09-01 — 815 671 MX, 500 347 SPF alexa2017-08-01 — 829 376 MX, 505 516 SPF alexa2017-07-01 — 830 824 MX, 502 438 SPF alexa2017-06-01 — 828 635 MX, 497 007 SPF partial alexa2017-05-01 — 828 210 MX, 493 097 SPF alexa2017-04-01 — 828 454 MX, 490 217 SPF alexa2017-03-01 — 824 804 MX, 483 151 SPF alexa2017-02-01 — 839 476 MX, 482 733 SPF alexa2017-01-01 — 827 995 MX, 470 990 SPF alexa2016-12-01 — 825 158 MX, 467 480 SPF alexa2016-11-01 — 837 849 MX, 472 624 SPF alexa2016-10-01 — 838 377 MX, 469 807 SPF alexa2016-09-01 — 835 089 MX, 462 936 SPF alexa2016-08-01 — 848 095 MX, 469 528 SPF alexa2016-07-01 — 842 098 MX, 463 893 SPF alexa2016-06-01 — 848 829 MX, 462 786 SPF alexa2016-05-01 — 843 824 MX, 455 820 SPF alexa2016-04-01 — 843 843 MX, 449 460 SPF alexa2016-03-01 — 865 090 MX, 456 873 SPF alexa2016-02-01 — 862 585 MX, 450 683 SPF alexa2016-01-22 — 845 356 MX, 440 606 SPF alexa
Data source: https://openintel.nl/data/forward-dns/top-lists/
Generated automatically from OpenINTEL Tranco snapshot 2026-08-02. Aggregates only — raw OpenINTEL data is deleted after analysis per their data agreement.
Last build: 2026-08-04T03:51:23Z.