AI & Automation

DMARC

Definition — DMARC

DMARC (Domain-based Message Authentication, Reporting, and Conformance) is an email authentication protocol that builds on SPF and DKIM to define what happens to emails that fail authentication and provides domain owners with reports on email authentication activity. DMARC with a policy of quarantine or reject is required by Gmail and Yahoo for bulk senders as of 2024.

Quick Answer

What is DMARC?DMARC (Domain-based Message Authentication, Reporting, and Conformance) is an email authentication standard that enables domain owners to: (1) declare a policy specifying what receiving mail servers should do with emails that fail SPF or DKIM authentication (none=no action, quarantine=send to spam, reject=block entirely), and (2) receive aggregate and forensic reports about email

What is DMARC?

DMARC (Domain-based Message Authentication, Reporting, and Conformance) is an email authentication standard that enables domain owners to: (1) declare a policy specifying what receiving mail servers should do with emails that fail SPF or DKIM authentication (none=no action, quarantine=send to spam, reject=block entirely), and (2) receive aggregate and forensic reports about email authentication results, showing who is sending email on behalf of your domain and whether SPF and DKIM are passing or failing. DMARC requires both SPF and DKIM to be correctly configured: it validates that at least one (or both) authentication methods align with the domain in the email From header.

DMARC Policy Levels for SaaS Companies

Three DMARC policy levels: p=none (monitoring mode: no emails are blocked, reports are generated to understand authentication landscape before enforcement), p=quarantine (suspicious emails are delivered to spam folder rather than inbox), p=reject (emails failing DMARC are blocked and never delivered). For SaaS companies: start with p=none for 30-60 days to collect DMARC reports and confirm all legitimate email sending services are properly authenticated. Then move to p=quarantine once confident, and ultimately to p=reject for maximum anti-spoofing protection and best deliverability reputation.

Frequently Asked Questions

Why is DMARC required for Gmail and Yahoo bulk senders in 2024?

In October 2023, Google and Yahoo announced that bulk email senders (5,000+ emails per day to Gmail/Yahoo) must have DMARC with at least p=none policy as of February 2024. This requirement was implemented to reduce email spam, phishing, and spoofing at scale. SaaS companies sending marketing or outreach emails at scale must implement DMARC (along with SPF and DKIM) or risk having emails rejected by Gmail and Yahoo servers. This affects virtually all SaaS companies with active email marketing or outbound sales programs.

How do I read DMARC reports?

DMARC generates two report types: (1) Aggregate reports (RUA): XML files sent daily by participating mail servers showing volume of emails processed, pass/fail rates, and sending sources. (2) Forensic reports (RUF): individual samples of failed emails (not universally supported by mail providers). Parse DMARC aggregate reports using dedicated tools: Postmark DMARC (free), MXToolbox DMARC analyzer, Valimail (enterprise), or DMARC Analyzer. These tools transform the raw XML into readable dashboards showing which servers are sending email on behalf of your domain and their authentication success rates, enabling rapid identification of unauthorized senders or misconfigured sending services.

Put this into practice

Get a free 90-day AI growth plan built around your SaaS stack.

See If You Qualify →

Related Terms

N8N
AI & Automation

N8N is an open-source workflow automation platform that allows SaaS companies to build automated workflows connecting hundreds of apps and services without code (or with minimal code). For SaaS marketing and operations teams, N8N automates lead enrichment, email sequences, CRM updates, and data pipelines at a fraction of the cost of alternatives like Zapier or Make.

RAG (Retrieval-Augmented Generation)
AI & Automation

RAG (Retrieval-Augmented Generation) is an AI architecture that combines a retrieval system (searching a knowledge base or database) with an LLM generator to produce answers grounded in specific, up-to-date context rather than relying solely on training data. For SaaS companies, RAG enables AI assistants, customer support bots, and internal tools that accurately answer questions using your specific documentation, policies, and customer data.

Prompt Engineering
AI & Automation

Prompt engineering is the practice of designing and optimizing input instructions (prompts) for large language models to reliably produce desired outputs. For SaaS teams using LLMs for content generation, customer support automation, data analysis, and product features, effective prompt engineering is the difference between useful AI output and unreliable, generic responses.

AI Agent
AI & Automation

An AI agent is an autonomous AI system that uses LLMs combined with tools, memory, and planning to complete multi-step tasks with minimal human intervention. For SaaS companies, AI agents are being deployed for outbound prospecting, content creation, customer support, data analysis, and software development, dramatically improving team productivity and enabling new automation capabilities.

🔍 Is your SaaS site visible to ChatGPT & Perplexity? Get Free GEO Score →