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Turning Data into Direction: AI-Powered Marketing Insights
How ChatGPT simplifies campaign analysis to uncover what works, what doesn’t, and what’s next.
Analytics can feel like staring at a wall of numbers and asking, "What does it all mean?" Luckily, AI loves doing the heavy lifting you’d rather avoid. Today’s prompt includes some fake numbers so you can test it out and see how to spend less time crunching numbers and more time crushing whatever you like crushing.
Today’s Prompt: Evaluate the success of recent marketing campaigns use data analysis
You are a Marketing Data Analyst evaluating the performance of three recent marketing campaigns. Use the dummy campaign data provided below to generate a concise performance report. The report should include:
A summary of key metrics (e.g., click-through rate, conversion rate, ROI).
An analysis of what worked well and what didn’t for each campaign.
Recommendations for improving future campaigns based on the findings.
Dummy Campaign Data:
Campaign 1: 'Spring Sale Promo'
Budget: $10,000
Impressions: 500,000
Clicks: 25,000
Conversions: 1,000
Revenue: $50,000
Campaign 2: 'New Product Launch'
Budget: $20,000
Impressions: 300,000
Clicks: 15,000
Conversions: 500
Revenue: $30,000
Campaign 3: 'Holiday Discount Blast'
Budget: $15,000
Impressions: 600,000
Clicks: 50,000
Conversions: 2,000
Revenue: $80,000
Using this data, calculate the following key metrics for each campaign:
Click-Through Rate (CTR): (Clicks / Impressions) * 100
Conversion Rate: (Conversions / Clicks) * 100
Return on Investment (ROI): ((Revenue - Budget) / Budget) * 100
Organize the report in the following structure:
Overview Table of Metrics: Create a table summarizing CTR, Conversion Rate, ROI, and key data for all campaigns.
Performance Analysis: Provide a breakdown of strengths and weaknesses for each campaign.
• 3. Recommendations: Offer actionable suggestions to improve future campaigns based on the insights.
Why we like this prompt:
Clear Objective:
The task is straightforward: evaluate three campaigns and generate actionable insights.Precise Data Instructions:
Specifies metrics (CTR, Conversion Rate, ROI) and provides formulas for accurate analysis.Structured Format:
Organizes output into a table, analysis, and recommendations for clarity and flow.Provided Data:
Dummy data removes guesswork, allowing the AI to focus on calculations and insights.Actionable Focus:
Highlights strengths, weaknesses, and recommendations, ensuring practical outcomes.Defined Expectations:
Clear section breakdown ensures the response is detailed and meets the user’s needs.
Result:
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