Google PPC Management: How Agencies Structure And Optimize Campaigns
Google PPC Management: Keyword Research, Match Types, and Negative Keywords
Keyword research in agency settings typically begins with a combination of client-provided terms, competitor analysis, and keyword planning tools to estimate search interest and thematic clusters. Agencies often segment keywords by intent—transactional, informational, or navigational—to align landing pages and conversion objectives. Research output commonly includes seed lists, estimated bid ranges, and suggested match-type mixes, with the understanding that actual performance may differ and requires ongoing refinement based on search term reports.
Match-type strategy is frequently iterative. Exact and phrase match keywords may offer greater control and clearer attribution when conversion volume is adequate. Broad match may be used to capture variant queries and discover new converting terms but often requires added negative keywords and oversight. Agencies may test different match-type allocations across similar campaigns and monitor query-to-conversion ratios and cost per conversion to determine a sustainable mix that supports business priorities.
Negative keywords are a routine control to prevent irrelevant traffic and preserve budget for higher-intent queries. Search term reports are commonly reviewed to identify irrelevant queries to add as negatives, and agencies often maintain shared negative lists for recurring non-converting categories. Proper negative management may reduce wasted spend and improve conversion rates, but it requires periodic review to avoid blocking potentially valuable long-tail queries inadvertently.
Tools and data sources typically inform keyword decisions: keyword planners, auction insights, and historical account performance. Query-level data from search term reports and landing page analytics often reveal which phrases align with conversions. Agencies may treat these inputs as signals rather than final answers, combining quantitative evidence with client knowledge of product terminology and seasonality when refining keyword sets and match-type rules.