How to Perform an Email Analysis (2026 Guide)
by
Last Updated: 8 min read
Learn email analysis to collect data for your marketing campaigns, analyse gaps in email security, and identify spoofing attacks.
Email analysis is not a single task. It’s two distinct disciplines that share a name. For marketing teams, it means measuring campaign performance through open rates, clicks, and conversions. For security teams, the meaning is entirely different. It involves inspecting email headers, verifying authentication records, and identifying whether a message is legitimate or a spoofing attempt.
The volume alone makes this urgent. Approximately 376 billion emails were sent globally every day in 2025, with nearly 160 billion of them classified as spam. This guide covers both sides of email analysis: how to read performance data to improve campaigns, and how to inspect and authenticate emails to catch spoofing and impersonation before they do harm.
Key Takeaways
- Email analysis serves two purposes: improving marketing performance and identifying security threats such as phishing and spoofing.
- Email headers contain critical metadata — including SPF, DKIM, and DMARC authentication results — that reveal whether an email is legitimate or forged.
- Automated DMARC monitoring platforms simplify ongoing email security analysis across all your sending domains.
- Spoofed emails can be identified by checking SPF/DKIM/DMARC alignment, return-path mismatches, and IP reputation signals.
- A structured, repeatable analysis process — from objective-setting through to reporting and iteration — ensures consistent, actionable insights.
What Is Email Analysis?
Email analysis is the process of examining email data to understand performance, detect problems, and generate actionable insights. Organizations use it to improve marketing outcomes, identify security threats, and make better decisions based on subscriber behavior and message activity.
There are two primary types of email analysis:
| Type | Marketing Email Analysis | Security Email Analysis |
|---|---|---|
| Goal | Improve campaign performance and subscriber engagement | Detect phishing, spoofing, and malicious messages |
| What you examine | Open rates, clicks, bounces, conversions, A/B test results | Email headers, authentication results (SPF/DKIM/DMARC), sender IPs, routing paths |
| Who does it | Marketing teams, email campaign managers | IT security teams, CISOs, SOC analysts, domain administrators |
| Tools used | Email marketing platforms, analytics dashboards | Email header analysers, DMARC reporting tools, IP lookup tools |
In marketing, email analysis helps organizations understand how subscribers interact with campaigns. Many teams use data integration processes to connect email platforms with a data warehouse, enabling deeper customer insights across channels. Data pipeline tools automate data collection and reporting, while visualization platforms and infographic makers help present findings more clearly.
In cybersecurity, email analysis focuses on identifying phishing attempts, spoofed domains, authentication failures, and suspicious sender activity. Analysts review message headers, authentication records, and delivery paths to determine whether an email is legitimate or malicious.
For organizations managing multiple domains or high email volumes, both email marketing and security analysis are essential: one improves engagement and conversions, while the other protects brand trust and email infrastructure.
The 3 Layers of Email Analysis
A complete email analysis does not stop at campaign metrics or email headers alone. It should evaluate three layers: performance, authentication, and threat detection. Together, these layers show whether your emails are working, whether they are trusted by receiving servers, and whether suspicious messages are trying to impersonate your domain.
| Layer | Purpose | Key Questions |
|---|---|---|
| Performance | Improve campaign results | Are people opening, clicking, and converting? |
| Authentication | Verify email legitimacy | Did SPF, DKIM, and DMARC pass? |
| Threat Detection | Identify suspicious or malicious emails | Is this email spoofed, phishing-based, or sent from an unauthorized source? |
This layered approach is useful because marketing and security teams often analyze different signals from the same email ecosystem. Performance analysis shows how recipients engage with messages, authentication analysis confirms whether senders are legitimate, and threat detection helps identify spoofing, phishing, and domain abuse.
The Benefits of Email Analysis
Learning how to perform email analysis is a win-win situation for a domain owner. You strengthen your email security, all the while improving your outreach campaigns. Here’s a closer look at how it helps you:
Gaining Insights into Communication Patterns
Analysing email data helps organizations identify how communication flows internally and externally. For marketing teams, this means understanding which campaigns generate the highest engagement. For security teams, it means spotting patterns that suggest an account has been compromised or an attack campaign is underway. Team collaboration between the two also finds efficiency through the process.
Improving Email Deliverability
Email authentication is now mandatory for bulk senders across Google, Yahoo, and Microsoft. Domains without properly configured SPF, DKIM, and DMARC face rejected messages or permanent spam classification. Email security analysis helps you identify and resolve these authentication failures before they affect deliverability.
Enhancing Customer Experience
Targeted email offers based on customer preferences improve engagement. Analysis helps you send more relevant content while ensuring those personalised messages actually reach the inbox. Improved customer experience is what retains and brings new consumers.
Mitigating Risk and Ensuring Compliance
Email analysis is not optional for regulated industries. PCI DSS v4.0 made DMARC-related anti-phishing controls fully mandatory in 2025. Government mandates across multiple regions now require organizations to implement and enforce DMARC compliance. Regular email security analysis is how organizations verify that their controls are working and sensitive information remains protected.
How to Perform an Email Analysis in 7 Steps
You want a process that satisfies both your goals efficiently. The following table integrates both marketing and security analysis into a single workflow:
| # | Step | Marketing Focus | Security Focus |
|---|---|---|---|
| 1 | Define Objective | Set campaign KPIs (open rate, CTR, conversions) | Identify suspicious messages, deliverability issue, or DMARC alert to investigate |
| 2 | Collect Data | Export campaign data from ESP/marketing platform | Obtain raw and accurate email data (including headers) from the email client |
| 3 | Review Delivery Data | Check list health, bounce categories, unsubscribe reasons | Parse email header; check From, Return-Path, Received chain, Authentication-Results |
| 4 | Verify Authentication | Check sender reputation and deliverability signals | Confirm SPF, DKIM, and DMARC pass/fail status; check IP reputation |
| 5 | Analyse Content | Assess subject lines, personalisation, CTAs, images, mobile rendering | Look for spoofing indicators: grammar errors, suspicious links, urgency language, unknown attachments |
| 6 | Draw Conclusions | Identify top-performing segments; areas for A/B testing through marketing data reporting | Determine whether the email is legitimate, suspicious, or malicious |
| 7 | Act and Iterate | Apply findings to next campaign; refine targeting and content | Report, quarantine, or block the email; update DMARC policy if domain abuse is detected across aggregate reports |
Let’s put these steps into practice and see how email analysis will take place for spoofed email detection or suspicion.
Email Analysis Decision Tree: When Should You Investigate an Email?
Use this simple decision tree when an email looks unusual, unexpected, or potentially malicious:
This workflow gives security teams and end users a repeatable way to decide when a message needs deeper email header analysis, authentication checks, or phishing investigation.
How to Analyze a Spoofed Email
Email spoofing is the foundational technique behind phishing attacks, Business Email Compromise (BEC), and domain impersonation. The FBI reported that cybercrime cost organizations over $16 billion in 2024, with phishing being one of the top three causes. These attacks rely almost entirely on the victim failing to analyse the email’s true origin. Proper email spoofing prevention tools help protect your domain alongside email analysis practices.
Step 1: Access the full email headers
Email headers contain the technical information behind every message. They show where an email originated, which servers handled it, and whether authentication checks such as SPF, DKIM, and DMARC passed or failed. Reviewing these details is the first step in determining whether an email is legitimate or spoofed.
You can access email headers from most email clients:
- Gmail: Click the three-dot menu and select Show Original.
- Outlook: Open File > Properties.
- Apple Mail: Choose View > Message > Raw Source.
When reviewing the headers, pay particular attention to the From, Return-Path, Received, and Authentication-Results fields. Mismatched domains, unexpected server locations, or failed authentication checks often indicate spoofing or unauthorized senders.
SPF verifies whether the sending IP is authorized to send email for a domain. DKIM confirms that the message content has not been altered during transit. DMARC ensures that the authenticated domain aligns with the visible From address and defines how receiving servers should handle failed messages. If all three checks fail, the email is highly likely to be spoofed or misconfigured.
Step 2: Check the From vs Return-Path alignment
The Return-Path address is where delivery failure notices go, and it often reveals the true sending domain. If the Return-Path domain is different from the From address domain, that is a strong spoofing indicator.
Step 3: Verify authentication results
Look for the Authentication-Results header. Check whether SPF, DKIM, and DMARC pass or fail.
- A legitimate email from a well-configured domain will show all three passing.
- If DMARC fails, the message either came from an unauthorised server.
- If no DMARC record exists, then the From domain has no enforcement policy protecting it.
Step 4: Analyse the Received chain
Read the Received headers from bottom to top (bottom = first hop). Look for unexpected servers, IP addresses from unexpected countries, or server names that don’t match the claimed sending domain.
Step 5: Check links and attachments
Hover over any links without clicking to reveal the actual destination URL. Use PowerDMARC’s Phishing Email Checker to scan the full email source for suspicious signals, including authentication failures, link mismatches, and urgency language.
Step 6: Verify with the sender through a separate channel
If an email appears to be from a known contact but raises red flags, verify it by calling or messaging the sender directly and not via the email thread.
Step 7: Report suspicious emails
Report phishing emails to your IT team and to relevant authorities such as the FTC (USA), NCSC (UK), or your national cybersecurity agency. If your own domain is being spoofed, implement or enforce DMARC to authorise only legitimate senders.
Which Tools Help With Email Analysis?
Tools purpose-built for email analysis are more efficient and effective than just personnel allocation. Equip the following tools to protect your business and its growth.
| Tool | Best For | Use Case |
|---|---|---|
| PowerDMARC Email Header Analyzer | Security teams, IT admins | Parse headers, verify SPF/DKIM/DMARC, detect spoofing |
| PowerDMARC Phishing Email Checker | End users, security analysts | Scan full email source for phishing signals |
| PowerDMARC DMARC Analyzer | Domain owners, CISOs | Check your DMARC record and enforcement level |
| DMARC Reporting Dashboard | Enterprise, MSPs | Monitor authentication results across all sending sources at scale |
| Email Marketing Platform Analytics | Marketing teams | Track open rates, clicks, conversions, bounce rates, and A/B test results |
How Do DMARC Reports Enable Continuous Email Analysis?
For organizations managing multiple domains or high email volumes, manual header inspection is not scalable. DMARC aggregate reports (RUA) provide a continuous stream of email authentication data, showing you every source sending email on behalf of your domain, which ones are passing or failing, and where spoofing attempts are occurring.
PowerDMARC converts these raw XML reports into a human-readable dashboard, so security teams can:
- Identify all authorised and unauthorised sending sources in real time
- Detect SPF, DKIM, and DMARC failures across every domain automatically
- Track the path from p=none (monitoring) to p=reject (full enforcement) safely
- Meet DMARC requirements from Google, Yahoo, Microsoft, PCI DSS, and NIS2 from a single platform
Learn more about why DMARC matters in 2026 and how organizations are moving to full enforcement following the latest sender requirements from Google, Yahoo, and Microsoft Outlook.
Email Analysis Is Both a Performance and Security Discipline
Email analysis is simultaneously a marketing performance tool and a cybersecurity imperative. On the performance side, it helps you understand what your audience responds to and how to improve ROI. On the security side, it is how organizations detect spoofing, identify phishing attempts, and verify that their email authentication infrastructure is working correctly.
Organizations that treat email analysis as an ongoing practice are the ones that catch threats early, protect their domains from abuse, and maintain the deliverability that their business depends on. PowerDMARC provides the tools to make both types of email analysis practical at any scale: from a one-click email header check to enterprise-wide DMARC monitoring across all your domains.
Start your 15-day free trial and figure out exactly what’s happening with your email and what you can do about it.
Frequently Asked Questions
1) What is email analysis?
Email analysis is the process of examining email data to extract actionable insights. This includes marketing analysis (open rates, clicks, conversions) and security analysis (header inspection, authentication verification, spoofing detection). Both serve different goals but should be practised by organizations simultaneously to maintain both performance and security.
2) How do I perform email security analysis?
To perform email security analysis, open the full email headers in your email client, then examine the From, Return-Path, Received chain, and Authentication-Results fields. Check whether SPF, DKIM, and DMARC pass or fail. A more efficient method here would be to use a dedicated email header analyser tool to parse and interpret these results quickly.
3) What does DMARC fail in email headers mean?
A dmarc=fail result in the Authentication-Results header means the email did not pass DMARC alignment. Either SPF and DKIM both failed, or the authenticated domain did not align with the visible From address. This is a strong indicator that the email is spoofed or sent from an unauthorised server. Domains with an enforced DMARC policy (p=quarantine or p=reject) will instruct receiving servers to quarantine or block such messages.
4) What is the difference between DMARC monitoring and DMARC enforcement?
DMARC monitoring (p=none) means you receive reports about email authentication failures but do not take action against unauthenticated messages. DMARC enforcement (p=quarantine or p=reject) means receiving servers are instructed to quarantine or reject emails that fail authentication. Moving from monitoring to enforcement is the goal of a DMARC implementation project.
5) How do I detect a spoofed email?
Check the full email headers for authentication failures (spf=fail, dkim=fail, dmarc=fail), a Return-Path that doesn’t match the From domain, unexpected servers in the Received chain, or an IP address not listed in the sender’s SPF record. Hover over links to verify their actual destination. Also use a phishing email checker for a rapid automated assessment.
6) What are DMARC aggregate reports used for?
DMARC aggregate reports (RUA) provide daily summaries of every email sent using your domain name, including which servers sent them and whether they passed or failed SPF, DKIM, and DMARC authentication. They are the primary tool for ongoing email security analysis at scale, helping organizations identify unauthorised senders and verify that legitimate sending sources are correctly authenticated.
7) How long does email security analysis take?
Manual header analysis of a single suspicious email typically takes 5 to 15 minutes, depending on the complexity of the routing path. Automated DMARC analysis using a platform like PowerDMARC, on the other hand, makes the process almost instant. It provides continuous monitoring and alerts, so your team is notified of authentication failures in near-real time without manual intervention.
Domain & Email Security Expert at PowerDMARC
Ahona is the Marketing Manager at PowerDMARC, with 5+ years of experience in writing about cybersecurity topics, specializing in domain and email security. Ahona holds a post-graduation degree in Journalism and Communications, solidifying her career in the security sector since 2019.
Latest posts by Ahona Rudra (see all)
- Fax Security: A Complete Guide to Protecting Sensitive Documents in 2026 - July 30, 2026
- What Is An Email Filtering Service? - July 29, 2026
- Email Spoofing: What It Is and How to Stop It - July 29, 2026
