Google Ads Measurement key terms

The setup that records when a user completes a valuable action after interacting with an ad, such as a purchase or form submit, so bidding and reporting can use that outcome.

A specific tracked event that Google Ads counts as a conversion, such as a purchase, lead form, or phone call, each configured with its own counting and value settings.

A conversion action flagged to be included in bidding and in the Conversions column, meaning Smart Bidding optimizes toward it rather than treating it as observational only.

A conversion action tracked for reporting and observation but excluded from bidding, useful for monitoring actions that support but do not define campaign success.

A single sitewide tagging framework that sends interaction data to Google Ads and Google Analytics from the same snippet, replacing the need for separate legacy tags on each page.

An analytics property built on event-based data collection that reports sessions, events, and user behavior, and can be linked to Google Ads for import and audience sharing.

The connection between a Google Ads account and a Google Analytics property that enables importing Analytics conversions and sharing audiences and attribution data between the two products.

In Google Analytics 4, an event marked as especially important, such as a purchase or signup, which can be imported into Google Ads and used for bidding and reporting.

A feature that sends hashed first-party customer data such as email alongside conversions, improving measurement accuracy and matching when cookies are limited.

A framework that communicates a user's cookie and data choices to Google tags, adjusting what data is collected and modeled so measurement stays compliant with privacy regulations.

Estimated conversions that fill gaps left when users decline tracking or when data is unavailable, produced by machine learning so reported totals better reflect actual outcomes.

A rule set that decides how credit for a conversion is divided among the ad interactions a user had before converting, such as data-driven or last-click.

An attribution model that uses machine learning on your account's data to distribute conversion credit across touchpoints according to their measured contribution to conversions.

The period after an ad interaction during which a conversion is credited to that interaction, configurable by conversion action and affecting reported totals.

A conversion counted when a user saw an ad impression but did not click, then converted within the defined window, useful for assessing display and video influence.

A conversion where a campaign or keyword appeared earlier in the user's path but another interaction received the credit under the chosen attribution model.

The sequence of ad clicks, impressions, and other interactions a user had before completing a conversion, used to understand which touchpoints contribute.

The percentage of interactions, usually clicks, that result in a conversion, calculated as conversions divided by clicks and used to judge traffic quality and landing page fit.

Total cost divided by the number of conversions, showing what the account pays on average for each conversion and whether spend is efficient.

Conversion value divided by cost, expressed as a ratio, indicating how much revenue is generated per unit of ad spend across campaigns or accounts.

The monetary worth assigned to a conversion, either fixed or dynamic, which feeds value-based bidding and revenue reporting.

Clicks divided by impressions, showing how often people who see an ad choose to click it and reflecting ad relevance and appeal.

The percentage of available impressions your ads received, revealing how much eligible auction inventory you captured versus lost to budget or rank.

The estimated share of search impressions missed because the campaign budget was too low, signaling a spending constraint rather than a targeting problem.

The estimated share of search impressions missed because ads ranked too low, driven by bid, quality, and ad relevance rather than budget.

A diagnostic estimate of ad and landing page relevance, expected click-through rate, and landing page experience, influencing auction competitiveness and cost.

A Quality Score component estimating how closely an ad's text matches the intent of the keyword or query it targets.

A Quality Score component estimating how relevant, useful, and easy to navigate the destination page is for users arriving from an ad.

A dimension applied to reports that splits metrics into groups, such as device, network, or time, so performance differences become visible.

A descriptive attribute such as campaign, device, or audience used to organize and break down performance data in reports.

A quantitative measure in reporting, such as clicks, impressions, cost, or conversions, that describes performance and can be aggregated or compared.

Automated bid strategies that use machine learning to set bids per auction based on signals like device, location, and time, targeting a chosen performance goal.

A Smart Bidding strategy that sets bids to obtain as many conversions as possible at or near a specified average cost per conversion.

A Smart Bidding strategy that sets bids to maximize conversion value while aiming for a specified average return on ad spend.

A bidding approach that optimizes toward conversion value rather than conversion count, using Target ROAS or maximize value strategies to prioritize higher-value actions.

A controlled test, such as a campaign draft or A/B test, that compares a change against a baseline to measure its effect on performance before wider rollout.

A split test that divides traffic between two variants, such as ads or landing pages, to determine which produces better results on a chosen metric.

The likelihood that an observed difference between variants is real rather than due to chance, used to decide whether test results justify action.

A modifier that raises or lowers bids for a targeting option, such as device or location, to reflect observed differences in performance.