LLM Prompts

Marketing Campaign Optimization with Analytics-Driven Insights

Generates data-driven recommendations to improve marketing campaign performance.

The method

Use this prompt with ChatGPT. Input your campaign data (spend, impressions, conversions) into the prompt. Adjust the 'optimize for' parameter based on your primary goal (e.g., conversion rate, ROI). Refine the prompt by adding demographic data for more specific insights.

The prompts

Prompt 1
Analyze the following marketing campaign data: [Insert Campaign Data Here - e.g., Ad Spend: $5000, Impressions: 100000, Conversions: 500]. Based on this data, identify three key areas for improvement and provide actionable recommendations to optimize the campaign for [Specify Goal - e.g., conversion rate, ROI]. Consider factors like ad copy effectiveness, target audience relevance, and landing page performance. Also, suggest alternative targeting strategies based on successful campaign results.
Prompt 2
I'm running a social media advertising campaign and want to improve its performance. Here’s my current setup: Daily budget - $50, Target audience - 25-35 year olds interested in fitness, Ad creative - a video showcasing our new product. My key metrics are engagement (likes, shares, comments) and click-through rate. After running this for a week, engagement is low and CTR is below average. How can I leverage analytics to understand why and suggest data-backed changes to the targeting, creative, or bidding strategy to improve performance?