AI Post-Mortem

Get an AI-generated campaign performance summary

AI Post-Mortem

Mailnaptic's AI Post-Mortem feature uses artificial intelligence to analyze your campaign's performance and generate a comprehensive, human-readable summary. Instead of interpreting raw numbers yourself, the AI provides context, highlights what went well, identifies areas for improvement, and compares your results against your organization's benchmarks.

Accessing the AI post-mortem

1. Navigate to Campaigns in the sidebar.
2. Open a sent campaign.
3. Look for the AI tab or the AI-generated summary section on the campaign detail page.
4. The post-mortem is generated automatically for sent campaigns and may take a few moments to produce.

What the AI analyzes

The AI post-mortem examines a comprehensive set of campaign data:

• Core metrics — Open rate, click rate, click-to-open rate, bounce rate, unsubscribe rate, and complaint rate.
• Organization benchmarks — Average open and click rates from your last 6 months of campaigns, so you can see how this campaign compares to your typical performance.
• Device breakdown — The proportion of opens from desktop, mobile, and tablet devices.
• A/B test status — If the campaign used A/B testing, the AI incorporates variant performance into its analysis.
• Send-time optimization (STO) status — Whether STO was used and its potential impact on engagement.

The benchmark comparison

One of the most valuable sections of the AI post-mortem is the benchmark comparison. This section explicitly compares your campaign's metrics against your organization's historical averages:

• "Your open rate of 28.3% is 4.1 percentage points above your 6-month average of 24.2%."
• "Your click rate of 2.1% is slightly below your typical performance of 2.5%."

This context is critical because a 20% open rate might be excellent for one organization and below average for another. The AI tailors its analysis to your specific performance history.

Reading the AI summary

The AI post-mortem typically includes:

1. Overall assessment — A brief summary of how the campaign performed.
2. Strengths — What went well, such as high open rates, strong click-through, or low complaints.
3. Areas for improvement — Where the campaign underperformed and potential reasons why.
4. Recommendations — Specific, actionable suggestions for improving your next campaign.
5. Benchmark comparison — How this campaign stacks up against your historical averages.

Using AI post-mortems effectively

• Review every campaign — Make it a habit to read the AI summary for every sent campaign. Over time, you will spot patterns the AI identifies repeatedly.
• Act on recommendations — The AI provides specific suggestions. Pick one or two to implement in your next campaign and measure the impact.
• Share with your team — The AI summary is written in plain language, making it easy to share with stakeholders who may not be comfortable reading raw analytics dashboards.
• Track improvement — Compare AI post-mortems across campaigns to see whether the recommended changes led to measurable improvements.

The AI post-mortem transforms raw campaign data into actionable intelligence, helping you become a more effective email marketer with every send.