Marketing AnalystCRM and Email AnalyticsBeginnerSingle prompt

Email Campaign Analysis AI Prompt

Analyze the performance of this email campaign and identify optimization opportunities. Email data: {{email_data}} Campaign type: {{type}} (newsletter, promotional, lifecycle, t... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.

Prompt text
Analyze the performance of this email campaign and identify optimization opportunities.

Email data: {{email_data}}
Campaign type: {{type}} (newsletter, promotional, lifecycle, transactional)
Audience: {{audience_size}} recipients

1. Deliverability metrics:
   - Delivery rate: delivered / sent (target > 98%)
   - Bounce rate: hard + soft bounces / sent
   - Spam complaint rate: spam reports / delivered (target < 0.1%)
   - List health: what % of the list is engaged (opened at least once in 90 days)?

2. Engagement metrics:
   - Open rate: unique opens / delivered (benchmark varies by industry, typically 20-40%)
   - Click-to-open rate (CTOR): clicks / opens (measures email content quality, target > 10%)
   - Click rate: clicks / delivered
   - Unsubscribe rate: unsubscribes / delivered (target < 0.2%)

3. Conversion metrics:
   - Conversion rate: desired action completions / delivered
   - Revenue per email: total revenue attributed / emails delivered
   - Compare to target and prior campaigns

4. Timing analysis:
   - What day of week and time of day were emails sent?
   - Compare open rate and click rate at different send times (if A/B tested)
   - Industry best practice send times for this audience segment

5. Subject line analysis:
   - If A/B tested: winning subject line and the open rate lift
   - Characteristics of high-performing subject lines: length, personalization, urgency, question vs statement
   - Recommendation for next campaign

6. Segment performance:
   - Break engagement metrics by: customer segment, tenure, geography, prior engagement level
   - Which segment has the highest CTOR? Should receive more targeted sends.
   - Which segment has the lowest open rate? Review frequency, relevance, send time.

7. Optimization recommendations:
   - Top 3 actions to improve performance in the next send

Return: deliverability metrics, engagement analysis, conversion results, segment breakdown, and optimization recommendations.

When to use this prompt

Use case 01

Use it when you want to begin crm and email analytics work without writing the first draft from scratch.

Use case 02

Use it when you want a more consistent structure for AI output across projects or datasets.

Use case 03

Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.

Use case 04

Use it when you want a clear next step into adjacent prompts in CRM and Email Analytics or the wider Marketing Analyst library.

What the AI should return

The AI should return a structured result that covers the main requested outputs, such as Deliverability metrics:, Delivery rate: delivered / sent (target > 98%), Bounce rate: hard + soft bounces / sent. The final answer should stay clear, actionable, and easy to review inside a crm and email analytics workflow for marketing analyst work.

How to use this prompt

1

Open your data context

Load your dataset, notebook, or working environment so the AI can operate on the actual project context.

2

Copy the prompt text

Use the copy button above and paste the prompt into the AI assistant or prompt input area.

3

Review the output critically

Check whether the result matches your data, assumptions, and desired format before moving on.

4

Chain into the next prompt

Once you have the first result, continue deeper with related prompts in CRM and Email Analytics.

Frequently asked questions

What does the Email Campaign Analysis prompt do?+

It gives you a structured crm and email analytics starting point for marketing analyst work and helps you move faster without starting from a blank page.

Who is this prompt for?+

It is designed for marketing analyst workflows and marked as beginner, so it works well as a guided starting point for that level of experience.

What type of prompt is this?+

Email Campaign Analysis is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.

Can I use this outside MLJAR Studio?+

Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.

What should I open next?+

Natural next steps from here are Customer Lifecycle Email Analysis, Customer LTV Calculation, Email List Health Audit.