keyword-research

To build a Google Ads keyword universe, you expand seed keywords using semantic discovery, competitor mining, and long-tail variations, then classify them by intent and group them into themed ad groups for optimal relevance.

The best way to assign match types is by evaluating conversion probability, search volume, competition, and CPC economics for each keyword, applying rules-based recommendations to balance reach and precise targeting.

Mining negative keywords involves analyzing search term report data to identify irrelevant queries, then categorizing them hierarchically into account, campaign, and ad-group negative lists to reduce wasted spend.

Yes, you can organize keywords by classifying them into informational, commercial, transactional, and navigational intent categories, then grouping them into themed ad groups to improve overall campaign relevance.

Yes, keyword expansion specifically includes long-tail discovery and question-query expansion techniques, generating a comprehensive keyword universe from your initial seed terms and search performance signals.

Campaigns waste spend when broad match types capture irrelevant queries, which can be mitigated by deduplicating keywords, normalizing terms, and implementing hierarchical negative keyword lists from search term reports.