Geographic Ad Performance Deep-Dive (Prompt)

AI-powered marketing prompts

Welcome to The Paid Media Mix – Special Edition! This series dives into AI-powered marketing prompts designed to help you automate, optimize, and uncover hidden efficiencies in your ad campaigns. Each edition provides you with a ready-to-use AI script to refine your strategy and maximize results.

Category: Marketing

Sub-category: Paid Ads

Purpose: Surface location-based inefficiencies that quietly drain your ad budget. Use AI to pinpoint where bid adjustments can lead to real savings and stronger results.

Pain Point Solved:

Advertisers often target large geographic areas without diving into region-specific performance. This can lead to wasted ad spend in underperforming cities or states that do not contribute to conversions.

Manual reviews of location data can be slow and often miss patterns. AI allows for faster analysis that reveals exactly where spend should be scaled back or redirected.

This type of analysis can be adapted across platforms to evaluate geographic performance, whether you’re using Google Ads, Microsoft Ads, Facebook, or others.

The AI Prompt:

“Review the following location performance data and perform these tasks:

1. List locations that meet both of the following criteria:

   1. CPC is at least 30% above the account average CPC

   2. Conversion rate is below 1%

2. Calculate the potential monthly savings by reducing bids in these locations by 40%

3. Sort the locations by potential savings in descending order (from highest to lowest)

4. Present the results in a bulleted list”

Implementation Steps:

1. Export your location report with conversion data in CSV format

2. Start broad by analyzing countries or regions, then narrow to states or cities

3. Clean your data to remove blank rows and ensure naming and metrics are consistent

4. Input the cleaned data into your AI tool and run the prompt

5. Review the results and adjust bids or exclude locations as needed

Screenshot shows results for Texas and Ohio location targets

⚠️ Watch Out:

• Avoid immediately excluding underperforming regions without investigating traffic quality or timing

• Use defined thresholds, like 30% above average CPC, to guide changes instead of gut instinct

• Consider pairing this analysis with time-of-day or audience performance for more precision

Optimization Tips:

• Run this location analysis every quarter to catch shifts in regional performance

• Start with bid adjustments instead of exclusions to test results safely

• Align poor-performing regions with low-performing audiences to reveal deeper trends

Key Takeaway:

Geographic reports contain untapped insights. This AI-powered analysis gives you a fast, effective way to shift spend where it matters most.

Have you uncovered surprising wins or losses by digging into your location data?

I’ve got another fabulous post with a marketing prompt you may also enjoy:

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If you found these insights helpful, imagine what we can achieve together. Let’s talk about how to apply these techniques to your campaigns.

👉 Book a paid ads strategy call today.