Plain-English definitions for every Google Ads and Meta Ads term — with formulas, benchmarks, and practical tips.
25 terms
This glossary is written for people who are actively running Google Ads or Meta Ads, not for memorizing acronyms. The goal is to make each term practical: what it means, where you see it in the ad account, why it affects performance, and what kind of action it should trigger.
Some metrics are diagnostic, like CTR, CPC, CPM, CPA, ROAS, Quality Score, impression share, and conversion rate. Others are campaign-building concepts, like match types, custom audiences, lookalikes, bid strategies, attribution, remarketing, and landing page experience. Knowing the difference keeps you from overreacting to a number that is only one part of the system.
Use the category filters to move through the glossary by topic. If a term appears inside a troubleshooting guide, read both pages together: the definition explains the concept, while the troubleshooting guide shows how the concept appears when an account is underperforming.
Understand what the numbers measure, what they do not measure, and which numbers matter most for the stage of your funnel.
Learn how targeting, bidding, attribution, match types, placements, and budgets affect the traffic you buy.
Connect definitions to real decisions: what to test, what to pause, what to segment, and what to leave alone.
Audience terms help you understand who sees your ads and why. Use these definitions when you are deciding between broad targeting, custom audiences, lookalikes, exclusions, remarketing lists, and audience signals. The practical question is whether the platform has enough freedom to find buyers while still avoiding people who are clearly outside your market.
Bidding terms explain how the platform spends your budget and what it tries to optimize. These concepts matter when costs rise, volume falls, or a campaign spends without producing the outcome you expected. Read them before switching bid strategies, because the wrong goal can make the algorithm more efficient at chasing the wrong result.
Campaign settings control the boundaries of your ad system: budget, placements, optimization events, campaign structure, attribution windows, and delivery rules. Small settings can create large performance differences, especially when they change what data the platform receives or where it is allowed to spend.
Google Ads terms usually connect to search intent, keyword control, Quality Score, Performance Max, shopping feeds, and the search terms report. These definitions are useful when you need to understand whether a campaign is matching the right queries, paying too much for clicks, or losing impression share because relevance is weak.
Google's rating of your ad and landing page quality (1-10).
Percentage of impressions your ads received vs. total available.
Score that determines your ad's position in search results.
Keywords that prevent your ads from showing.
Google's assessment of how useful your landing page is.
Keyword match type that shows ads for related searches.
AI-driven campaigns that run across all Google properties.
Report showing actual searches that triggered your ads.
Additional information added to text ads.
Meta Ads terms focus on objectives, creative delivery, audiences, placements, learning, frequency, and conversion events. They are especially useful when a campaign gets clicks but weak leads, when creative burns out, or when the platform appears to be optimizing but the business result does not improve.
Metric definitions help you read performance without reacting to every number in isolation. CTR, CPC, CPM, CPA, ROAS, conversion rate, and impression share only become useful when you know the question each metric answers and which business decision it should influence.
The amount you pay each time someone clicks your ad.
The cost to show your ad 1,000 times.
Revenue generated for every dollar spent on ads.
Percentage of clicks that result in a conversion.
The cost to acquire one customer or conversion.
Percentage of people who click after seeing your ad.
Tracking terms explain how ad platforms receive conversion data and how that data flows through pixels, tags, events, UTMs, analytics tools, and attribution models. If tracking is incomplete or duplicated, every optimization decision downstream becomes less reliable.
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