Search Term Pattern Analysis (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: PPC
Purpose: Uncover patterns in search terms that are driving inefficient ad spend and improve budget allocation in Google Ads or Microsoft Ads accounts.
Pain Point Solved:
Many advertisers assume negative keyword management is a “set it and forget it” one time shot. However, hidden inefficiencies can persist, with low-performing search terms silently eating into ad budgets. Manual reviews take time and may miss deeper patterns.
AI can help by quickly analyzing search terms and grouping them based on performance data. This approach has saved my clients thousands of dollars by identifying terms that should be excluded or bid down to improve overall efficiency.
The AI Prompt:
“Analyze the following search term data and perform the following tasks:
1. Group similar search terms that have CPAs at least 50% above the account average.
2. For each group, provide:
• Total spend
• Average CPA
• Conversion count
• A list of the search terms with their individual CPAs
3. Calculate the monthly savings if these terms were negative matched.
4. Sort the groups by potential savings in descending order (from highest to lowest).
5. Format the results as a bulleted list, and include a total savings summary at the top.”
Implementation Steps:
1. Export your last 90 days of search term data from Google Ads.
2. Clean the data by removing duplicates and ensuring consistency.
3. Input the cleaned data into your preferred AI tool and run the prompt.
4. Review the results and identify which search terms to exclude or adjust bids on.
5. Implement negative keyword additions and monitor performance over the next few weeks.
⚠️ Watch Out:
Be cautious when adding negatives—blocking too many terms may restrict valuable traffic.
Consider phrase match vs. exact match negatives to prevent over-filtering.
Monitor impression and conversion trends after applying changes.
Smart Optimization Tips:
Run this analysis monthly to ensure new inefficiencies aren’t creeping in.
Cross-check the results against Google’s Search Terms Insight Report to spot trends.
Test broad match keywords with audience layering instead of over-restricting keyword variations.
Key Takeaway:
Cleaning up search term inefficiencies can save thousands of dollars over time. This AI prompt streamlines the process, helping you make data-driven decisions with minimal manual work.
Which search term challenge have you struggled with the most?
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.
