What worked well? What didn't?

[moumitaakter4407]

Executive Summary (for high-level audiences): A brief overview of the key findings, top-performing campaigns, and crucial recommendations.
Overview of Period: Dates covered, total emails sent, total delivered.
Deliverability Performance:
Table/chart showing Delivery Rate, Bounce Rate, Spam Complaint Rate.
Highlight any significant changes or issues.
Engagement Performance:
Table/chart showing Open Rate, CTR, CTOR, Unsubscribe Rate.
Analyze which russia email list emails/segments performed best and why.
Conversion & Revenue (if applicable):
Table/chart showing Conversion Rate, Total Conversions, Revenue.
Attribute revenue to specific campaigns.
List Health:
New Subscribers, total list size.
Trend of list growth/decline.
Key Learnings & Insights:
Identify patterns (e.g., certain subject lines performed better, specific content resonated).
Recommendations & Next Steps:
Based on your findings, what actions will you take? (e.g., A/B test new subject lines, segment list further, clean bounced emails).
Visualize Your Data
Visuals make complex data digestible. Use:

Line Charts: Great for showing trends over time (e.g., weekly open rates).
Bar Charts: Good for comparing performance across different campaigns or segments.
Pie Charts: Useful for showing proportions (e.g., percentage of bounces).
Tables: For presenting precise numbers and detailed comparisons.
Ensure charts are clearly labeled with titles, axis labels, and legends.

Add Context and Analysis
Raw numbers aren't enough. Provide context:

Compare to Benchmarks: How do your metrics stack up against industry averages or your own historical performance?
Explain Fluctuations: Why did the open rate drop this week? Was there a holiday? A less engaging subject line?
Highlight Successes & Challenges: Don't just report numbers; explain their implications.
** actionable insights:** What does this data tell you? What should be done next?
Use Tools to Streamline the Process
Spreadsheets (Excel/Google Sheets): For basic data manipulation, calculations, and chart creation.
Business Intelligence (BI) Tools (e.g., Tableau, Power BI, Google Looker Studio): For more advanced visualization, automated reporting, and integrating multiple data sources.
ESP's Native Reporting: Most ESPs have dashboards and basic reports, which are a good starting point.
Google Analytics: For deeper insights into website behavior post-click.
Example Weekly Report Outline:
Email Marketing Performance Report - Week of May 13 - May 19, 2025

What insights did you gain?
Specific actions for next week/month (e.g., "A/B test product images," "segment inactive subscribers").
By following these steps, you can create email data reports that not only present numbers but also tell a story, provide valuable insights, and drive continuous improvement in your email marketing strategy.
Here's how to interpret your email CTR