PPC Trends: AI Targeting & First Party Data for PPC
PPC is undergoing a major shift—AI keyword targeting and first-party data are opening up new and profitable opportunities in Google Ads. While many PPC trends exist, these two stand out for the following reasons:
- AI is revolutionizing how research is done and can save time and money
- Personalization and first-party data helps increase conversions
Let’s dive in.
1. AI Keyword Targeting
AI-predictive keyword targeting analyzes historical data, search trends, and user intent to come up with keywords that help position pages for maximum conversions, without the manual input. Examples of AI Keyword Targeting Tools include:
- SEMRush Keyword Magic Tool
- BrightEdge AI
- Adzooma AI
- Google Ads’ Smart Bidding: Adjusts bids based on expected conversions.
Google Smart Bidding is particularly helpful—take a look.
Pros & Cons of AI-powered keyword Targeting in PPC
Pros | Cons |
---|---|
Automates bid adjustments for high-performing keywords | High-performing keywords don’t always match your content and target |
Helps advertisers react to search trends instantly | AI predictions can be inaccurate with new trends if there is no historical data to verify it |
Access to vast amount of data provide keywords that may have otherwise been overlooked | Overlooked keywords are often ineffective ones |
Should You Use AI to Find Keywords for Google Ads?
While AI keyword automation can automate tedious tasks like bid adjustments and keyword expansion, it cannot replace human creativity and strategic oversight. You should not use AI automation without having keyword targeting knowledge yourself; otherwise, you won’t be able to verify AI recommendations. The best PPC strategies in 2025 will be a hybrid of AI automation and manual expertise.
How Do You Use AI Keyword Targeting Correctly?
The best PPC strategies in 2025 will be a hybrid of AI automation and manual expertise. AI will handle bulk data processing, predictive targeting, and automation, while human PPC managers can refine strategy, analyze AI-driven results, and ensure campaigns remain aligned with business goals.
To use AI keyword targeting correctly, make sure you have an understanding of the search intent behind the keywords. Search intent is what people expect to find when they type that keyword into search.
- Analyze Search Query Context: Review AI-suggested keywords in real Google Ads searches or Google Trends to see if they attract buyers or browsers. Prioritize transactional intent over informational searches.
- Check Competitor Ads: Run a Google search for AI-generated keywords and analyze which businesses are bidding on them, what ad copy they use, and if it aligns with your target audience.
- Refine with Negative Keywords: AI may suggest broad terms. Use negative keywords to filter out irrelevant clicks (e.g., exclude “free,” “DIY,” or “jobs” if your goal is conversions).