Fast bad actors
Abusive users can look legitimate at signup, send quickly and disappear before manual review catches up.
ESP Partners
Bad actors can sign up on free or low-cost tiers, look legitimate, use a real website, send a malicious campaign and disappear before your team sees the damage. Datazag helps you score accounts, links, domains and SMTP activity earlier.
Abusive users can look legitimate at signup, send quickly and disappear before manual review catches up.
Google, Microsoft and other inbox providers increasingly expect ESPs to control abuse and clean customer behaviour.
Fraud prevention expectations are rising in the UK and Europe, especially where platforms can reduce predictable online harm.
Launch partner-branded protection, hygiene and analytics services powered by Datazag data.
The ESP challenge
The hardest ESP abuse problem is speed. A bad actor signs up on a free or low-cost tier, presents a plausible business, points to a real website and passes the obvious checks. Then they send a malicious or deceptive campaign and disappear before the ESP has enough evidence to act manually.
That creates a direct platform problem: damaged sender reputation, inbox-provider scrutiny, customer-support load, regulatory exposure and pressure from legitimate customers who need the platform to remain trusted.
Datazag gives ESPs an earlier intelligence layer. You can score signup domains, customer data, landing-page links, campaign URLs and SMTP logs against domain, DNS, certificate, hosting, platform, brand and infrastructure signals before the bad actor has finished exploiting the platform.
Check the customer's domain, website, DNS, mail posture, hosting context and infrastructure history during onboarding or tier upgrades.
Score outbound links, landing-page domains, redirect chains and suspicious subdomains before or during send.
Use risk signals to allow, warn, throttle, block or route campaigns for review before reputation damage spreads.
Enrich SMTP logs and campaign history so deliverability, abuse and customer-success teams can see what happened.
Four ESP use cases
For ESPs, Datazag is a platform intelligence layer. It helps detect bad actors using the service, improve data quality, support deliverability analytics and create partner-branded revenue lines without forcing customers into a separate Datazag product.
Signup
spot risk before bad actors send.
Send
score links and campaigns in motion.
Logs
enrich analytics after delivery.
New revenue line
This gives ESPs a differentiated paid service beyond core sending. Customers get brand monitoring, evidence and protection under the ESP's brand; Datazag supplies the detection and infrastructure data layer.
Coverage
Customer brands, domains, aliases, login terms, impersonation infrastructure, website evidence and abuse contacts.
Primary action
Sell a branded protection service to your customers at your own price, with Datazag powering the intelligence underneath.
Hygiene and onboarding
Bad actors often look plausible because they have a real website and pass basic checks. Datazag adds external domain and infrastructure context so you can spot weak, new, suspicious or inconsistent signals earlier.
Coverage
Signup domains, customer websites, email domains, landing-page domains, list-quality indicators, risky infrastructure and poor-quality data signals.
Primary action
Build a premium data cleaning and risk-screening service that identifies suspicious, low-quality or risky customer data before it harms sender reputation.
Bad actor detection
A bad actor may look legitimate at account level, but the campaign destination can reveal the risk. Datazag scores those destinations so you can block, throttle, warn or route sends for review before the campaign is finished.
Coverage
Campaign links, landing-page domains, redirect chains, newly observed domains, parked domains, suspicious subdomains and hosting context.
Primary action
Check links in outbound campaigns before or during send to detect malicious, suspicious or policy-breaking activity using your platform.
Deliverability analytics
SMTP logs become more valuable when joined with domain and infrastructure intelligence. ESPs can improve internal analytics, customer success reporting, abuse operations and deliverability decisions.
Coverage
Sending domains, recipient-domain patterns, campaign links, infrastructure risk, domain posture and historical context.
Primary action
Enhance SMTP logs and analytics with Datazag intelligence to improve deliverability, abuse detection and customer reporting.
How it works
Check the customer's domain, website, DNS, mail posture, hosting context and infrastructure history during onboarding or tier upgrades.
Score outbound links, landing-page domains, redirect chains and suspicious subdomains before or during send.
Use risk signals to allow, warn, throttle, block or route campaigns for review before reputation damage spreads.
Enrich SMTP logs and campaign history so deliverability, abuse and customer-success teams can see what happened.
Decision-ready output
Signals become evidence, evidence becomes confidence, confidence becomes action.
The purpose is not to show more data. The purpose is to reduce uncertainty at the point where a team, customer or system has to make a decision.
Example platform control
This fictional example shows Datazag as an input to ESP platform controls. A customer can look legitimate at signup, but their links, domains, DNS and infrastructure may reveal risk before or during the send.
Why this matters
The alert is designed to show the domain, the matched entity, the infrastructure context, the confidence and the evidence trail in a form that can flow straight into operational channels.
ESP | ACCOUNT RISK
new-customer.test · real website · risky campaign links
Account path
Free or low-cost signup with plausible website
Decision path
Allow, warn, throttle, block or send to review
Campaign context
Outbound links found in customer campaign content
Risk context
New landing domain, suspicious DNS, hosting and corpus novelty indicators
Machine output
Structured enrichment for scoring, policy or AI-agent workflow
Deliverability impact
Reduce abusive sends that can harm platform reputation
Reason codes
Fast-abuse example — checks can run at signup, pre-send, near-real-time or in analytics pipelines
Example ESP product line
This fictional example shows Datazag as the intelligence layer behind an ESP-branded customer service. Your customer sees your product, your report and your support model; Datazag powers the monitoring and evidence underneath.
Why this matters
The alert is designed to show the domain, the matched entity, the infrastructure context, the confidence and the evidence trail in a form that can flow straight into operational channels.
PARTNER | WHITE LABEL
Customer brands · impersonation alerts · evidence packs · reports
Partner offer
Brand Protection powered by Datazag
Customer experience
Your branded dashboard, reports, alerts and support workflow
Coverage
Customer brands, domains, aliases, impersonation and related infrastructure
Evidence
Screenshots, abuse contacts, reason codes and lifecycle state
Pricing
You choose the customer price and packaging
Commercial impact
New recurring service revenue beyond core sending
Reason codes
White-label service example — final packaging and customer pricing are partner-controlled
Packaging
Screen customer domains, websites and infrastructure before low-cost accounts can abuse the platform.
Score campaign links and landing-page domains to detect bad actors using your platform.
Identify risky, suspicious or low-quality customer data before it harms deliverability or trust.
Join send logs with domain, DNS, infrastructure and risk intelligence for deeper analytics.
Sell customer-facing brand monitoring and evidence services under your own brand and pricing.
Support reputation, customer success, abuse and compliance teams with better context.
Next step
Datazag gives ESPs the data layer for account risk, campaign-link checks, SMTP analytics and partner-branded services. You decide how to package it, enforce it and sell it to your customers.