Explainable delivery
Show customers which gateway and mailbox provider handled their email, and what those systems did.
Email intelligence for ESPs
Go beyond opens, clicks and delivery rates. Give customers deeper insight into recipient infrastructure, email security gateways and mailbox providers. Help them understand delivery performance, interpret engagement and improve future campaigns.
For engineers: how the data joins and what leaves your systems →
Show customers which gateway and mailbox provider handled their email, and what those systems did.
Find recipient domains that look live but can't take mail: parked, or with no working mail setup.
Screen campaign link domains against age, hosting and risk signals before they go out.
The problem
Customers see opens, clicks, bounces and deferrals. They don't see the gateway that scanned their links. They don't see the provider that slowed their batch.
When results drop, they blame the platform. Support tickets rise, and good customers start to look elsewhere.
Apple Mail Privacy Protection already blurred opens. Now security gateways open and click links before people do. Click rates look strong, or suddenly suspicious.
A bounce code or a deferral says little to a marketer. They need to know which system responded, and why.
Without context, every drop looks like your problem. Your team spends hours explaining one campaign at a time.
Your deliverability team can diagnose this. Datazag helps you explain it to every customer, at scale.
How it works
No single dataset explains a campaign. Your platform combines what it already records with what Datazag sees across the internet.
Domain status, security gateway, mailbox provider and its category, hosting provider, country, SPF and DMARC, DNS history.
Source · Datazag, updated daily
SMTP responses, bounces, deferrals, opens, clicks.
Source · Your platform, already collected
Automated URL requests, classified with timing and confidence.
Source · Your click logs, classified by your platform using Datazag gateway data and our published methodology
Which systems were involved, what was observed, and what the customer should investigate.
Combined by your platform, shown in your dashboard
You already hold two of the three. Datazag adds the context that connects them.
A documented inspection capability does not show what happened to a particular message. Your platform combines it with its own timing data to classify engagement.
Before, during, after
The core is explaining results. The same data also helps before the send.
After the send
Group results by the gateway and mailbox provider that received them. Classify engagement on stronger evidence than timing alone. Tell customers what to investigate.
Before the send
Syntax checks and MX lookups pass parked domains and broken mail setups. Flag them, and recent infrastructure changes, before the send.
During the build
Check campaign link domains against age, hosting and risk signals. Your platform flags any links that don't use an identifiable domain.
Also available
Signup checks. Screen new customers' domains for mail setup, parking status and infrastructure history at signup and tier upgrades. You set the rules; Datazag supplies the evidence.
One dataset, three moments where your customers notice the difference.
Beyond the MX record
Many businesses route mail through a security gateway first. The MX record points to the gateway, not the mailbox provider behind it.
Datazag maps inbound mail infrastructure for 118.3 million corporate domains. For each one, we record the mailbox platform and the security gateway, where one is visible.
Where the evidence allows, SPF and other TXT records reveal the mailbox provider behind a gateway. DNS history shows when either changed.
Corporate domains as of 2026-11-12. Source →
Test it on your own traffic. The hidden-link method in our implementation guide gives you ground truth. Read the guide →
See how mail infrastructure is distributed across the internet →
The join
Your SMTP log knows what happened. Datazag knows who received it, and what kind of domain it is. Join them on the recipient domain, inside your own warehouse.
| Recipient domain | Time | Event | Response | Click |
|---|---|---|---|---|
| acme-freight.example | 09:00:04 | Clicked | 250 OK | 3 s after delivery |
| brightpath.example | 09:00:05 | Clicked | 250 OK | 42 min after delivery |
| harbor-bank.example | 09:00:05 | Deferred | 421 4.7.0 Try again later | — |
| lumen-legal.example | 09:00:06 | Clicked | 250 OK | 5 s after delivery |
| oldmill-bakery.example | 09:00:06 | Bounced | No mail server found | — |
| tempinbox.example | 09:00:07 | Delivered | 250 OK | — |
| Domain | Status | Gateway | Mailbox provider | Provider category | Hosting | Country | SPF | DMARC | Recent change |
|---|---|---|---|---|---|---|---|---|---|
| acme-freight.example | OK | Proofpoint | Microsoft 365 | Business suite | AWS | US | -all | reject | — |
| brightpath.example | OK | None | Google Workspace | Business suite | Squarespace | GB | ~all | none | — |
| harbor-bank.example | OK | None | Microsoft 365 | Business suite | Microsoft Azure | US | -all | quarantine | — |
| lumen-legal.example | OK | Mimecast | Microsoft 365 | Business suite | Cloudflare | DE | -all | reject | MX moved to Mimecast 6 days ago |
| oldmill-bakery.example | Parked | — | None | — | Parking service | GB | None | None | Parked since March |
| tempinbox.example | Disposable | None | Disposable mail service | Disposable | OVHcloud | FR | ~all | None | — |
SELECT log.recipient_domain, log.event, log.smtp_response, log.click_delay,
dz.domain_status, dz.gateway, dz.mailbox_provider, dz.provider_category,
dz.hosting_provider, dz.country, dz.spf, dz.dmarc, dz.recent_change
FROM smtp_log AS log
LEFT JOIN datazag_mail_infrastructure AS dz
ON dz.domain = log.recipient_domain;Beyond Gmail and Yahoo
Most platforms report Gmail and Yahoo, then put everything else in "Other". That bucket holds most business email. Datazag identifies the mailbox provider behind those domains, where the evidence allows. Group results by Google, Microsoft, gateways and independent hosts such as IONOS.
Seed tests check a set of sample inboxes. Your campaign reaches real ones. Send one campaign to everyone, then compare likely human clicks by provider. If clicks hold at IONOS and Yahoo but fall at Google, start the investigation at Google.
A gap is a signal, not proof. Audience mix, list age and gateway clicks can move rates too. Remove likely automated clicks first, and compare groups of a fair size.
One campaign, by mailbox provider
Illustrative4,200 delivered · 88 clicks
2.1%
In line with the campaign's baseline.
8,500 delivered · 170 clicks
2.0%
In line with the baseline.
18,200 delivered · 145 clicks
0.8%
About 60% below the baseline. Consistent with spam-folder or tab placement. Check Google Postmaster Tools and authentication first.
5,100 delivered · 480 clicks · 410 likely automated
1.4%raw 9.4%
Most clicks came within seconds of delivery: likely link scanning. Judge this group on likely human clicks, which sit below the baseline.
Likely human click rateRaw click rate
Example campaign report
Here is a sample report panel for a 21,000-recipient newsletter. It sits alongside the metrics your dashboard already shows.
Campaign report · Newsletter · 21,000 recipients
See this on your own data
Claim a founding pilot placeResearch evidence
Datazag resolves DNS for 367.5M domains every day and publishes what it finds. One result matters to every ESP: a domain with an MX record is not always a mailbox.
Figures as of 2026-11-12. Method and caveats →
Datazag Insights
The State of Email Infrastructure 2026.
Integration
You don't send us customer lists or campaign data. We deliver intelligence into your environment, and you join it to your own tables.
Iceberg or Delta datasets through Snowflake, Databricks or Azure. They refresh daily with no pipeline to maintain.
Match recipient domains, link domains and click logs against our data inside your own warehouse. Your lists never leave your systems.
Infrastructure changes and alerts over TAXII 2.1, for abuse, compliance and deliverability teams.
White-label hygiene reports and account-review material for your customers.
No new vendor in your sending path. No personal data shared with a third party.
For your technical team
Partner economics
One subscription supports both. See pricing →
Margin principle
Partners receive a discount on list prices and set their own client prices.
Usage rights
Power your own platform controls, customer reports, alerts, enrichment and portal features.
Raw data, data shares and bulk exports are not for resale, sublicensing or redistribution.
Services sold through your resellers need written approval and separate terms.
Founding offer · For email platforms
Start with a one-off analysis. Choose one campaign or workflow, with one day to one month of historical data. You run the join in your own environment. You share event-level rows with no email addresses: recipient domain, event type, SMTP response code and time since delivery. We analyze them and show what the combined evidence explains.
Pilot format: a one-off analysis of historical data. We agree the shared fields in a privacy review before you send anything, and you can aggregate further. Email addresses never leave your environment. The join is one SQL query on recipient domain, so no integration work is needed.
Founding offer · For email platforms
$2,500One-off fee.
3 of 3 places left
Offer ends December 31, 2026.