Section Headers Visualization Guide
The spam analysis results are organized into 4 main sections, with 2 categories of indicators:
These sections contain triggers that increase the spam score:
This section contains triggers that decrease the spam score:
Triggers that indicate spam-like subject line characteristics
Technical problems and suspicious infrastructure indicators
Content-based triggers found in email body
Good practices and legitimate email characteristics
Email Analysis Results
├── 🔴 NEGATIVE INDICATORS (Increase Score)
│ ├── ## Subject Line Analysis
│ ├── ## Infrastructure & Technical Issues
│ │ ├── Authentication Issues
│ │ ├── Sending Platforms
│ │ ├── Microsoft Indicators
│ │ ├── Domain Issues
│ │ ├── Header Issues
│ │ └── Other Infrastructure
│ └── ## Content Analysis
│ ├── Urgency Indicators
│ ├── Financial/Monetary
│ ├── Marketing/Newsletter
│ ├── Promotional Language
│ ├── Call-to-Action
│ ├── Scarcity/Exclusivity
│ ├── Social Proof
│ ├── Job Postings
│ ├── Formatting Issues
│ └── Other Content
│
└── 🟢 POSITIVE INDICATORS (Decrease Score)
└── ## Positive Indicators
├── Authentication passes
├── Professional infrastructure
├── Compliance headers
└── Personalization| Risk Level | Score Range | Description |
|---|---|---|
| LOW | 0-2.9 | Email is likely to be delivered normally |
| MEDIUM | 3.0-5.9 | Email may face some delivery challenges |
| HIGH | 6.0-10.0 | Email is likely to be flagged as spam |
Each section uses markdown-style formatting:
## for main section headers**Bold** for subcategory headers(3)This structure provides a clear, organized view of what's affecting the email's spam score, making it easy to identify specific issues and positive practices.