---
title: Analytics overview
description: rasa.io Analytics gives you visibility into every part of your newsletter's performance — from opens and clicks to which articles and topics resonate....
---

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1. [rasa.io Knowledge Base](https://help.rasa.io/?hsLang=en)
2. [Analytics & Reporting](https://help.rasa.io/analytics-reporting?hsLang=en)

# Analytics overview

## rasa.io Analytics gives you visibility into every part of your newsletter's performance — from opens and clicks to which articles and topics resonate....

rasa.io Analytics gives you visibility into every part of your newsletter's performance — from opens and clicks to which articles and topics resonate. This article is your map to the reports.

### How to get there

Click **Analytics** in the top nav. You'll see an overview page with three product sections:

- **Newsletters** — 9 reports
- **Sequences** — 7 reports
- **Blasts** — 7 reports

Click into the message type you want to analyze.

### Newsletter reports

Newsletter analytics are split into two categories:

#### Performance reports (4)

These tell you **how your newsletter is doing**:

**1. Opens / Clicks**

Your headline performance chart. Shows opens and clicks over time with adjustable granularity (Day / Week / Month). Includes 8 metric chips at the top with summary stats.

Use this to see overall trends — are opens trending up? Are clicks tracking with opens, or is something off?

**2. Segmentation Report**

Breaks down engagement by a dimension (e.g., Email Domain). Useful for:

- Spotting mailbox provider issues (e.g., a sudden drop in Gmail opens often means an inbox-provider security shift)
- Understanding which audience segments are most engaged
- Diagnosing deliverability problems by domain

**3. Daily Stats**

Issue-by-issue snapshot. For each send, you can see opens, clicks, top clicked URLs, and more. This is your "what happened in that specific issue" report.

**4. Active Subscribers**

Range-based view of how many subscribers are actively engaging (defaulting to the last 30 days). Use this to track growth and identify dormant subscribers.

#### Content reports (5)

These tell you **what content resonates**:

**1. Topics**

Engagement by topic — which themes your subscribers click most. Useful for refining your content strategy and adjusting your sources.

**2. Articles**

Per-article performance with filters for Publisher, Section, and Top N. See which specific articles drove engagement.

**3. Sources**

Performance by source or publisher. Use this to evaluate which sources you should keep, feature more, or drop.

**4. Images**

Click performance by image (banners, squares). See which visuals subscribers actually engage with.

**5. Links**

Performance of non-article, non-image URLs — for example, links in your scheduled text blocks or footer links.

### Consistent controls on every report

Every report has the same structure:

- **Date range filter** (default: Last 7 Days or Last 30 Days)
- **All Clicks / Without Suspect Clicks toggle** — choose whether to include bot/scanner traffic in the data
- **Export CSV** and **Export PDF** buttons
- **Summary tiles** at the top with key numbers
- **Chart** showing the data over time or by dimension
- **Data table** with the underlying rows

### Date range options

- Yesterday
- Today
- Last 7 Days
- Last Week
- Last 30 Days
- Last Month
- Last 3 Months
- Last Quarter
- Custom

**Performance tip:** For ranges longer than 3 months, pull data in 2-3 month chunks. Long date ranges can be slow.

### Suspect clicks vs all clicks

Every report has a **Without Suspect Clicks** toggle. Suspect clicks are clicks that look like they came from bots or corporate security scanners rather than real humans.

Use **Without Suspect Clicks** for:

- Cleaner engagement numbers
- Comparing engagement across newsletters or time periods
- Reporting to stakeholders

Use **All Clicks** for:

- Understanding total inbox-level activity
- Diagnosing odd patterns
- When suspect filtering might be too aggressive

For more on this, see Suspect clicks.

### What's a "good" open or click rate?

There's no universal benchmark, but loose ranges:

- **Open rate** — 20-40% is typical, 40%+ is excellent
- **Click rate** — 2-10% is typical, 10%+ is excellent
- **AI-personalized newsletter engagement** — often higher than industry averages because content is targeted

For specific industry benchmarks, see Industry benchmarks.

### How to use Analytics strategically

A few habits worth building:

**Weekly review:**

- Check Opens/Clicks for the past 7 days
- Look at Daily Stats for the most recent issue
- Note any spikes or dips

**Monthly review:**

- Look at Topics and Articles reports to see what's driving engagement
- Review Segmentation by domain for deliverability health
- Check Active Subscribers trend

**Quarterly review:**

- Sources report to evaluate which sources are pulling their weight
- Industry comparison via the benchmarks article
- List hygiene — remove or re-engage inactive subscribers

### What's next

- Suspect clicks — understanding the bot/human filter
- Metrics defined — what each number means
- Email Health Report — overall list health
- Industry benchmarks — comparing your performance

- [Getting Started](https://help.rasa.io/getting-started?hsLang=en)
- [Newsletters](https://help.rasa.io/newsletters?hsLang=en)
- [Sequences & Blasts](https://help.rasa.io/sequences-blasts?hsLang=en)
- [Contacts & Subscribers](https://help.rasa.io/contacts-subscribers?hsLang=en)
- [Analytics & Reporting](https://help.rasa.io/analytics-reporting?hsLang=en)
- [Deliverability & Compliance](https://help.rasa.io/deliverability-compliance?hsLang=en)
- [Account & Billing](https://help.rasa.io/account-billing?hsLang=en)
- [Troubleshooting](https://help.rasa.io/troubleshooting?hsLang=en)
- [Security & Privacy](https://help.rasa.io/security-privacy?hsLang=en)

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