Ready-to-Use Templates
Copy these templates and customize them for your needs. Each includes HTML and plain text versions.
Email Report: Week of {{weekStartDate}} — {{emailsSent}} emails sent
This week's email performance at a glance.
{{monthName}} Email Report — {{revenue}} in email-attributed revenue
Full monthly breakdown with trends and recommendations.
Campaign Report: {{campaignName}} — {{openRate}}% open rate
Full breakdown of what worked and what didn't.
List Health: {{monthName}} — {{totalSubscribers}} subscribers
Growth, engagement, and hygiene metrics.
Best Practices
Always compare to the previous period. Numbers without context are meaningless.
Include 1-3 actionable recommendations, not just data.
Lead with the most important metric for your business (usually revenue or conversions).
Keep weekly reports brief. Save deep analysis for monthly reviews.
Track list health monthly — a growing list that isn't engaged is worse than a smaller engaged one.
Common Mistakes
Reporting vanity metrics (opens) without business metrics (revenue, conversions).
Sending reports with data but no analysis or next steps.
Reporting too infrequently — problems compound when you don't catch them early.
Including too many metrics — stakeholders need focus, not data overload.
Subject Line Examples
Timing & Performance
Personalization Tips
Lead With Revenue, Not Opens
Open rates are interesting. Revenue is what pays salaries. Always lead your reports with the business impact — how much revenue, how many conversions, how many new customers email drove. Then support with engagement metrics.
Compare Everything
A 25% open rate means nothing in isolation. Is that up or down from last month? How does it compare to your average? Context turns data into insight. Every number in your report should have a comparison point.
Include the "So What"
Data without analysis is homework for the reader. Every report section should answer "so what?" — what does this mean and what should we do about it? Two sentences of analysis are worth more than ten extra data points.
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