Calculator Inputs
The page uses a single-column structure overall. The input area switches to three, two, or one columns by screen size.
Example Data Table
Use this sample to understand how the calculator interprets campaign health metrics.
| Campaign | Sent | Delivered | Bounces | Opens | Clicks | Complaints | Unsubs | Score |
|---|---|---|---|---|---|---|---|---|
| Warm Leads Q1 | 15000 | 14760 | 240 | 4120 | 730 | 7 | 41 | 88.40 |
| Cold Outreach A | 8000 | 7480 | 520 | 890 | 96 | 16 | 61 | 54.20 |
| Renewal Reminder | 4200 | 4170 | 30 | 2160 | 620 | 1 | 10 | 93.75 |
Formula Used
Delivery Rate = (Emails Delivered ÷ Emails Sent) × 100
Total Bounce Rate = ((Hard Bounces + Soft Bounces) ÷ Emails Sent) × 100
Open Rate = (Opens ÷ Emails Delivered) × 100
Click Rate = (Clicks ÷ Emails Delivered) × 100
CTOR = (Clicks ÷ Opens) × 100
Complaint Rate = (Spam Complaints ÷ Emails Delivered) × 100
Authentication Score = (SPF Pass % + DKIM Pass % + DMARC Pass %) ÷ 3
A weighted positive signal score is reduced by penalties from bounce, complaint, unsubscribe, and blacklist risk. Final score is clamped between 0 and 100.
This model gives more weight to delivery, authentication, hygiene, reputation, and engagement. It penalizes signs that typically harm inbox placement and sender trust.
How to Use This Calculator
- Enter your campaign sending volume and delivered count.
- Add hard bounces, soft bounces, complaints, and unsubscribes.
- Enter opens, clicks, and reply rate for engagement.
- Provide SPF, DKIM, and DMARC pass rates.
- Estimate list hygiene and domain reputation scores.
- Submit the form to see the score above it.
- Review metrics, recommendations, and the Plotly chart.
- Export results or example data using CSV or PDF buttons.
FAQs
1. What does this calculator measure?
It estimates campaign deliverability quality using sending, bounce, complaint, authentication, engagement, hygiene, and domain reputation inputs.
2. Is the score an exact inbox placement result?
No. It is a practical estimate. Real placement also depends on mailbox provider behavior, content, history, and recipient engagement trends.
3. Why are spam complaints weighted heavily?
Complaints strongly signal unwanted mail. Even small increases can damage trust and reduce inbox placement across major providers.
4. What is a healthy complaint rate?
Many teams aim to stay below 0.1%. Lower is better, especially for cold or mixed-quality lists.
5. Why include SPF, DKIM, and DMARC?
Authentication proves message legitimacy. Strong alignment supports trust, reporting, and better protection against spoofing or filtering issues.
6. How should I estimate list hygiene score?
Rate your list quality based on validation, suppression handling, recency, consent quality, and how often inactive contacts are removed.
7. Can cold outreach use this calculator?
Yes. It is especially useful there because bounce, complaint, and reputation risks tend to appear faster in cold campaigns.
8. What should I improve first?
Start with authentication, list validation, complaint reduction, and volume consistency. Those changes usually produce the fastest trust improvements.