Analytics for Email

Not everyone lives in Slack or checks dashboards. Email reports bring analytics to executives, clients, and non-technical stakeholders who prefer a quiet, scheduled summary in their inbox. Powered by Resend for reliable, beautiful delivery.

Scheduled digest reports

Choose your cadence — daily, weekly, or monthly. Each email digest is a self-contained analytics report with everything a stakeholder needs to understand site performance without clicking a single link.

Subject: Your Weekly Analytics — acme.com (Mar 10–16)

┌─────────────────────────────────────┐
│  Weekly Report — acme.com           │
│  March 10 – March 16, 2026         │
├─────────────────────────────────────┤
│  Pageviews      34,891  (+12%)      │
│  Visitors        8,204  (+8%)       │
│  Bounce Rate      42%   (-3pp)      │
│  Avg Duration    2m 14s (+18s)      │
├─────────────────────────────────────┤
│  Top Pages                          │
│  1. /docs/getting-started    4,210  │
│  2. /pricing                 2,891  │
│  3. /blog/launch-post        2,103  │
├─────────────────────────────────────┤
│  AI Traffic: 18.3% of visits        │
│  ChatGPT: 9.1% | Claude: 6.2%      │
│  Perplexity: 3.0%                   │
├─────────────────────────────────────┤
│  [View Full Dashboard →]            │
└─────────────────────────────────────┘

Designed for passive consumption

Email reports are fundamentally different from Slack alerts. They are not urgent. They are designed for people who want a periodic check-in — the CEO who scans it Monday morning, the client who wants proof of ROI, the marketing lead who tracks campaign trends.

What each report includes

• 01 Period comparison — This week vs. last week with percentage changes for every metric.
• 02 Top pages — Highest-traffic pages with pageview counts and trend direction.
• 03 Traffic sources — Referrer breakdown including AI traffic attribution.
• 04 Anomaly summary — Any alerts triggered during the period, with brief context.
• 05 Bot activity — Which crawlers visited and how many requests they made.